fix: restore skills/ and .claude-plugin/ in plugin install tarball (#262)

v3.0.1 added .gitattributes rules that excluded both directories from
git archive output, shrinking the claude.ai .skill bundle. But Claude
Code's /plugin install fetches the SAME archive, so users installing
v3.0.1 or v3.0.2 received a tarball with no plugin manifest and no
skill files. Install appeared successful but the plugin was a useless
empty shell.

Proof:
  git archive v3.0.0 | grep 'skills/|\.claude-plugin/' | wc -l  # 8
  git archive v3.0.1 | grep 'skills/|\.claude-plugin/' | wc -l  # 0
  git archive v3.0.2 | grep 'skills/|\.claude-plugin/' | wc -l  # 0

No issue reports yet because:
 - Cached pre-v3.0.1 installs keep working (it's the new-install path
   that's broken)
 - The breakage is under 24 hours old
 - Users invoking the skill via natural language go through
   skill-selector rather than /last30days slash command

Also reverts v3.0.2's "skills": ["skills"] back to "./", the value
that shipped in every tag from v2.1.0 through v3.0.0. That change was
a misdiagnosis; the manifest wasn't in the tarball anyway so it had
no effect on user-visible installs.

Archive file count after fix: 97 (cap is 200, plenty of room).
Follow-up: move claude.ai-specific bundle exclusions into
scripts/build-skill.sh where they belong, rather than .gitattributes
which cannot distinguish between the two distribution channels.

Co-authored-by: Matt Van Horn <455140+mvanhorn@users.noreply.github.com>

.claude-plugin/marketplace.json

@@ -10,7 +10,7 @@
     {
       "name": "last30days",
       "description": "Research any topic across Reddit, X, YouTube, TikTok, Instagram, HN, Polymarket, GitHub, and 5+ more sources.",
-      "version": "3.0.0",
+      "version": "3.0.3",
       "author": {
         "name": "Matt Van Horn",
         "url": "https://github.com/mvanhorn"

.claude-plugin/plugin.json

@@ -1,6 +1,6 @@
 {
   "name": "last30days",
-  "version": "3.0.0",
+  "version": "3.0.3",
   "description": "Research any topic across Reddit, X, YouTube, TikTok, Instagram, Hacker News, Polymarket, GitHub, and 5+ more sources. AI agent scores by upvotes, likes, and real money - not editors.",
   "author": {
     "name": "Matt Van Horn",

.codex-plugin/plugin.json

@@ -0,0 +1,3 @@
+{
+  "name": "last30days"
+}

.gitattributes

@@ -0,0 +1,46 @@
+# Exclude non-runtime files from `git archive` output.
+# Used by scripts/build-skill.sh to produce a claude.ai-upload-ready .skill file.
+# See docs/plans/2026-04-14-001-fix-skill-upload-200-file-limit-plan.md.
+
+# Anthropic canonical skill-packaging excludes
+# (mirrors anthropics/skills/skills/skill-creator/scripts/package_skill.py)
+__pycache__/   export-ignore
+node_modules/  export-ignore
+*.pyc          export-ignore
+.DS_Store      export-ignore
+evals/         export-ignore
+
+# Dev, docs, test, and media - not needed at skill runtime
+tests/         export-ignore
+docs/          export-ignore
+fixtures/      export-ignore
+assets/        export-ignore
+
+# NOTE: skills/ and .claude-plugin/ are NOT export-ignored here because
+# Claude Code's /plugin install fetches this same git archive tarball.
+# Removing those from the archive (as v3.0.1 did) silently breaks installs.
+# claude.ai-bundle-specific exclusions live in scripts/build-skill.sh.
+
+# Historical + repo-only manifests
+SKILL-original.md  export-ignore
+SPEC.md            export-ignore
+TASKS.md           export-ignore
+test-run.log       export-ignore
+CONTRIBUTORS.md    export-ignore
+HERMES_SETUP.md    export-ignore
+release-notes.md   export-ignore
+CHANGELOG.md       export-ignore
+uv.lock            export-ignore
+
+# Platform adapters - skill-upload path is platform-agnostic
+.agents/         export-ignore
+.codex-plugin/   export-ignore
+.hermes-plugin/  export-ignore
+
+# CI workflows - repo-only, not needed at skill runtime
+.github/         export-ignore
+
+# Build config itself
+.clawhubignore  export-ignore
+.gitignore      export-ignore
+.gitattributes  export-ignore

.github/workflows/release.yml

@@ -0,0 +1,31 @@
+name: Release
+
+on:
+  push:
+    tags:
+      - "v*"
+
+permissions:
+  contents: write
+
+jobs:
+  build-and-release:
+    runs-on: ubuntu-latest
+    steps:
+      - name: Checkout
+        uses: actions/checkout@v4
+        with:
+          fetch-depth: 0
+
+      - name: Build .skill artifact
+        run: |
+          bash scripts/build-skill.sh
+          test -f dist/last30days.skill
+
+      - name: Create GitHub release
+        uses: softprops/action-gh-release@v2
+        with:
+          files: dist/last30days.skill
+          generate_release_notes: true
+          draft: false
+          prerelease: false

.gitignore

@@ -15,3 +15,16 @@ variants/open/references/research.md
 __pycache__/
 *.pyc
 mise.toml
+.memsearch/
+.venv/
+.coverage
+htmlcov/
+
+# Root vendor/ is accidental - real vendored client lives at scripts/lib/vendor/bird-search/
+/vendor/
+
+# build artifact from scripts/build-skill.sh
+/dist/
+
+# Internal planning docs (ce:plan output) — keep local, don't publish
+docs/plans/

.hermes-plugin/SKILL.md

@@ -0,0 +1,269 @@
+---
+name: last30days
+version: "3.0.0"
+description: "Multi-query social search with intelligent planning. Research any topic across Reddit, X, YouTube, TikTok, Instagram, Hacker News, Polymarket, and the web."
+argument-hint: 'last30days AI video tools, last30days best noise cancelling headphones'
+allowed-tools: Bash, Read, Write, AskUserQuestion, WebSearch
+homepage: https://github.com/mvanhorn/last30days-skill
+repository: https://github.com/mvanhorn/last30days-skill
+author: mvanhorn
+license: MIT
+user-invocable: true
+metadata:
+  hermes:
+    emoji: "📰"
+    tags:
+      - research
+      - deep-research
+      - reddit
+      - x
+      - twitter
+      - youtube
+      - tiktok
+      - instagram
+      - hackernews
+      - polymarket
+      - trends
+      - recency
+      - news
+      - citations
+      - multi-source
+      - social-media
+      - analysis
+      - web-search
+    requires:
+      env:
+        - SCRAPECREATORS_API_KEY
+      optionalEnv:
+        - OPENAI_API_KEY
+        - XAI_API_KEY
+        - OPENROUTER_API_KEY
+        - PARALLEL_API_KEY
+        - BRAVE_API_KEY
+        - APIFY_API_TOKEN
+        - AUTH_TOKEN
+        - CT0
+        - BSKY_HANDLE
+        - BSKY_APP_PASSWORD
+        - TRUTHSOCIAL_TOKEN
+      bins:
+        - node
+        - python3
+    primaryEnv: SCRAPECREATORS_API_KEY
+    files:
+      - "scripts/*"
+    homepage: https://github.com/mvanhorn/last30days-skill
+---
+
+# last30days v3.0.0: Research Any Topic from the Last 30 Days
+
+> **Permissions overview:** Reads public web/platform data and optionally saves research briefings to `~/Documents/Last30Days/`. X/Twitter search uses optional user-provided tokens (AUTH_TOKEN/CT0 env vars). Bluesky search uses optional app password (BSKY_HANDLE/BSKY_APP_PASSWORD env vars - create at bsky.app/settings/app-passwords). All credential usage and data writes are documented in the [Security & Permissions](#security--permissions) section.
+
+Research ANY topic across Reddit, X, YouTube, and other sources. Surface what people are actually discussing, recommending, betting on, and debating right now.
+
+## Runtime Preflight
+
+Before running any `last30days.py` command in this skill, resolve a Python 3.12+ interpreter once and keep it in `LAST30DAYS_PYTHON`:
+
+```bash
+for py in python3.14 python3.13 python3.12 python3; do
+  command -v "$py" >/dev/null 2>&1 || continue
+  "$py" -c 'import sys; raise SystemExit(0 if sys.version_info >= (3, 12) else 1)' || continue
+  LAST30DAYS_PYTHON="$py"
+  break
+done
+
+if [ -z "${LAST30DAYS_PYTHON:-}" ]; then
+  echo "ERROR: last30days v3 requires Python 3.12+. Install python3.12 or python3.13 and rerun." >&2
+  exit 1
+fi
+```
+
+## Step 0: First-Run Setup Wizard
+
+**CRITICAL: ALWAYS execute Step 0 BEFORE Step 1, even if the user provided a topic.** If the user typed `last30days Mercer Island`, you MUST check for FIRST_RUN and present the wizard BEFORE running research. The topic "Mercer Island" is preserved — research runs immediately after the wizard completes. Do NOT skip the wizard because a topic was provided. The wizard takes 10 seconds and only runs once ever.
+
+To detect first run: check if `~/.config/last30days/.env` exists. If it does NOT exist, this is a first run. **Do NOT run any Bash commands or show any command output to detect this — just check the file existence silently.** If the file exists and contains `SETUP_COMPLETE=true`, skip this section **silently** and proceed to Step 1. **Do NOT say "Setup is complete" or any other status message — just move on.** The user doesn't need to be told setup is done every time they run the skill.
+
+**When first run is detected, detect your platform first:**
+
+**If you do NOT have WebSearch capability (raw CLI):** Run the terminal-only setup flow below.
+**If you DO have WebSearch (Hermes):** Run the standard setup flow below.
+
+---
+
+### Terminal-Only / Non-WebSearch Setup Flow
+
+Run environment detection first:
+```bash
+"${LAST30DAYS_PYTHON}" "${SKILL_ROOT}/scripts/last30days.py" setup --terminal
+```
+
+Read the JSON output. It tells you what's already configured. Display a status summary:
+
+```
+👋 Welcome to last30days!
+
+Detected:
+{✅ or ❌} yt-dlp (YouTube search)
+{✅ or ❌} X/Twitter ({method} configured)
+{✅ or ❌} ScrapeCreators (TikTok, Instagram, Reddit backup)
+{✅ or ❌} Web search ({backend} configured)
+```
+
+Then for each missing item, offer setup in priority order:
+
+1. **ScrapeCreators** (if not configured): "ScrapeCreators adds TikTok and Instagram search (plus a Reddit backup if public Reddit gets rate-limited). 10,000 free calls, no credit card. (No referrals, no kickbacks - we don't get a cut.)"
+   - Option A: "ScrapeCreators via GitHub (recommended)" — Check if `gh` CLI was detected in the environment detection output above. If gh IS detected: description should say "Registers directly via GitHub CLI in ~2 seconds - no browser needed". Before running the command, display: "Registering via GitHub CLI..." If gh is NOT detected: description should say "Copies a one-time code to your clipboard and opens GitHub to authorize". Then run `"${LAST30DAYS_PYTHON}" "${SKILL_ROOT}/scripts/last30days.py" setup --github`, parse JSON output. Tries PAT first (if `gh` is installed), falls back to device flow which copies a one-time code to your clipboard and opens your browser. If `status` is `success`, write `SCRAPECREATORS_API_KEY=*** to .env.
+   - Option B: "I have a key" — accept paste, write to .env
+   - Option C: "Skip for now"
+
+2. **X/Twitter** (if not configured): "X search finds tweets and conversations. To unlock X: add FROM_BROWSER=auto (reads browser cookies, free), XAI_API_KEY (no browser access, api.x.ai), or AUTH_TOKEN+CT0 (manual cookies)."
+   - Option A: "I have an xAI API key" (recommended for servers — persistent, no expiry). Write XAI_API_KEY to .env.
+   - Option B: "I have AUTH_TOKEN + CT0 from my browser" — accept both, write to .env
+   - Option C: "Skip for now"
+
+3. **YouTube** (if yt-dlp not found): "YouTube search needs yt-dlp. Run: `pip install yt-dlp`"
+
+4. **Web search** (if no Brave/Exa/Serper key): "A web search key enables smarter results. Brave Search is free for 2,000 queries/month at brave.com/search/api"
+
+After setup, write `SETUP_COMPLETE=true` to .env and proceed to research.
+
+**Skip to "END OF FIRST-RUN WIZARD" below after completing the terminal-only flow.**
+
+---
+
+### Hermes Setup Flow (Standard)
+
+**You MUST follow these steps IN ORDER. Do NOT skip ahead to the topic picker or research. The sequence is: (1) welcome text -> (2) setup modal -> (3) run setup if chosen -> (4) optional ScrapeCreators modal -> (5) topic picker. You MUST start at step 1.**
+
+**Step 1: Display the following welcome text ONCE as a normal message (not blockquoted). Then IMMEDIATELY call AskUserQuestion - do NOT repeat any of the welcome text inside the AskUserQuestion call.**
+
+Welcome to last30days!
+
+I research any topic across Reddit, X, YouTube, and other sources - synthesizing what people are actually saying right now.
+
+Auto setup gives you 5 core sources for free in 30 seconds:
+- X/Twitter - reads your x.com browser cookies to authenticate (not saved to disk). Chrome on macOS will prompt for Keychain access.
+- Reddit with comments - public JSON, no API key needed
+- YouTube search + transcripts - installs yt-dlp (open source, 190K+ GitHub stars)
+- Hacker News + Polymarket + GitHub (if `gh` CLI installed) - always on, zero config
+
+Want TikTok and Instagram too? ScrapeCreators adds those (10,000 free calls, scrapecreators.com). No kickbacks, no affiliation.
+
+**Then call AskUserQuestion with ONLY this question and these options - no additional text:**
+
+Question: "How would you like to set up?"
+Options:
+- "Auto setup (~30 seconds) - scans browser cookies for X + installs yt-dlp for YouTube"
+- "Manual setup - show me what to configure"
+- "Skip for now - Reddit (with comments), HN, Polymarket, GitHub (if gh installed), Web"
+
+**If the user picks 1 (Auto setup):**
+
+**Before running the setup command, get cookie consent:**
+
+Check if `BROWSER_CONSENT=true` already exists in `~/.config/last30days/.env`. If it does, skip the consent prompt and run setup directly.
+
+If `BROWSER_CONSENT=true` is NOT present, **call AskUserQuestion:**
+Question: "Auto setup will scan your browser for x.com cookies to authenticate X search. Cookies are read live, not saved to disk. Chrome on macOS will prompt for Keychain access. OK to proceed?"
+Options:
+- "Yes, scan my cookies for X" - Run setup as normal. Append `BROWSER_CONSENT=true` to .env after setup completes.
+- "Skip X, just set up YouTube" - Run setup with YouTube only (install yt-dlp). Do not scan cookies.
+- "I have an xAI API key instead" - Ask them to paste it, write XAI_API_KEY to .env. Then install yt-dlp.
+
+Run the setup subcommand:
+```bash
+cd {SKILL_DIR} && "${LAST30DAYS_PYTHON}" scripts/last30days.py setup
+```
+Show the user the results (what cookies were found, whether yt-dlp was installed).
+
+**Then show the optional ScrapeCreators offer (plain text, then modal):**
+
+Want TikTok and Instagram too? ScrapeCreators adds those platforms - 10,000 free calls, no credit card. It also serves as a Reddit backup if public Reddit ever gets rate-limited.
+
+**Before showing the ScrapeCreators modal, check for `gh` CLI:** Run `which gh` via Bash silently. Store the result as gh_available (true if found, false if not).
+
+**Call AskUserQuestion:**
+Question: "Want to add TikTok, Instagram, and Reddit backup via ScrapeCreators? (We don't get a cut.)"
+Options:
+- "ScrapeCreators via GitHub (fastest, recommended)" - If gh_available: description should say "Registers directly via GitHub CLI in ~2 seconds - no browser needed". If NOT gh_available: description should say "Copies a one-time code to your clipboard and opens GitHub to authorize". After the user selects this option: If gh_available, display "Registering via GitHub CLI..." before running the command. If NOT gh_available, display "I'll copy a one-time code to your clipboard and open GitHub. When GitHub asks for a device code, just paste (Cmd+V on Mac, Ctrl+V on Windows/Linux)." Then run `cd {SKILL_DIR} && "${LAST30DAYS_PYTHON}" scripts/last30days.py setup --github` via Bash with a 5-minute timeout. This tries PAT auth first (if `gh` CLI is installed, zero browser needed), then falls back to GitHub device flow which copies a one-time code to your clipboard and opens GitHub in your browser. Parse the JSON stdout. If `status` is `success`, write `SCRAPECREATORS_API_KEY=*** to `~/.config/last30days/.env`. If `method` is `pat`, show: "You're in! Registered via GitHub CLI - zero browser needed. 10,000 free calls. TikTok, Instagram, and Reddit backup are now active." If `method` is `device` and `clipboard_ok` is true, show: "You're in! (The authorization code was copied to your clipboard automatically.) 10,000 free calls. TikTok, Instagram, and Reddit backup are now active." If `method` is `device` and `clipboard_ok` is false, show: "You're in! 10,000 free calls. TikTok, Instagram, and Reddit backup are now active." If `status` is `timeout` or `error`, show: "GitHub auth didn't complete. No worries - you can sign up at scrapecreators.com instead or try again later." Then offer the web signup option.
+- "Open scrapecreators.com (Google sign-in)" - run `open https://scrapecreators.com` via Bash to open in the user's browser. Then ask them to paste the API key they get. When they paste it, write SCRAPECREATORS_API_KEY=*** to ~/.config/last30days/.env
+- "I have a key" - accept the key, write to .env
+- "Skip for now" - proceed without ScrapeCreators
+
+**After SC key is saved (not if skipped), show the TikTok/Instagram opt-in:**
+
+**Call AskUserQuestion:**
+Question: "Enable TikTok and Instagram search?"
+Options:
+- "Yes, enable TikTok + Instagram" - Write `TIKTOK_ENABLED=true` and `INSTAGRAM_ENABLED=true` to .env. Then show: "TikTok and Instagram are now enabled. You can disable them later by editing ~/.config/last30days/.env."
+- "No, skip for now" - proceed without enabling
+
+**After setup completes, write `SETUP_COMPLETE=true` to .env.**
+
+---
+
+## END OF FIRST-RUN WIZARD
+
+Proceed to Step 1.
+
+---
+
+## Step 1: Parse Topic
+
+The user invoked: `last30days {QUERY}`
+
+Extract the topic. If the query is empty or ambiguous, ask for clarification.
+
+## Step 2: Execute Research
+
+Run the research engine:
+
+```bash
+cd {SKILL_DIR} && "${LAST30DAYS_PYTHON}" scripts/last30days.py "{TOPIC}" --emit=compact --lookback-days=30
+```
+
+Optional flags based on user request:
+- `--search=reddit,youtube,hackernews` - Specific sources only
+- `--days=7` - Shorter time range
+- `--deep` - Higher recall mode
+- `--save` - Save to ~/Documents/Last30Days/
+
+## Step 3: Display Results
+
+Show the research output to the user. The compact output includes:
+- Executive summary
+- Ranked evidence clusters with scores
+- Source statistics (upvotes, views, engagement)
+- Citations with URLs
+- Confidence levels and uncertainty notes
+
+## Security & Permissions
+
+**What this skill does:**
+- Sends search queries to ScrapeCreators API (`api.scrapecreators.com`) for TikTok and Instagram search, and as a Reddit backup when public Reddit is unavailable (requires SCRAPECREATORS_API_KEY)
+- Sends search queries to OpenAI's Responses API (`api.openai.com`) for Reddit discovery (fallback if no SCRAPECREATORS_API_KEY)
+- Sends search queries to Twitter's GraphQL API (via optional user-provided AUTH_TOKEN/CT0 env vars — no browser session access) or xAI's API (`api.x.ai`) for X search
+- Sends search queries to Algolia HN Search API (`hn.algolia.com`) for Hacker News story and comment discovery (free, no auth)
+- Sends search queries to Polymarket Gamma API (`gamma-api.polymarket.com`) for prediction market discovery (free, no auth)
+- Runs `yt-dlp` locally for YouTube search and transcript extraction (no API key, public data)
+- Sends search queries to ScrapeCreators API (`api.scrapecreators.com`) for TikTok and Instagram search, transcript/caption extraction (PAYG after 10,000 free API calls)
+- Optionally sends search queries to Brave Search API, Parallel AI API, or OpenRouter API for web search
+- Fetches public Reddit thread data from `reddit.com` for engagement metrics
+- Stores research findings in local SQLite database (watchlist mode only)
+- Saves research briefings as .md files to ~/Documents/Last30Days/
+
+**What this skill does NOT do:**
+- Does not post, like, or modify content on any platform
+- Does not access your Reddit, X, or YouTube accounts
+- Does not share API keys between providers (OpenAI key only goes to api.openai.com, etc.)
+- Does not log, cache, or write API keys to output files
+- Does not send data to any endpoint not listed above
+- Hacker News and Polymarket sources are always available (no API key, no binary dependency)
+- TikTok and Instagram sources require SCRAPECREATORS_API_KEY (10,000 free API calls, then PAYG). Reddit uses ScrapeCreators only as a backup when public Reddit is unavailable.
+- Can be invoked autonomously by agents via the Skill tool (runs inline, not forked); pass `--agent` for non-interactive report output
+
+**Bundled scripts:** `scripts/last30days.py` (main research engine), `scripts/lib/` (search, enrichment, rendering modules), `scripts/lib/vendor/bird-search/` (vendored X search client, MIT licensed)
+
+Review scripts before first use to verify behavior.

CHANGELOG.md

@@ -5,7 +5,52 @@ All notable changes to this project will be documented in this file.
 The format is based on [Keep a Changelog](https://keepachangelog.com/en/1.1.0/),
 and this project adheres to [Semantic Versioning](https://semver.org/spec/v2.0.0.html).
 
-## [3.0.0] - 2026-04
+## [3.0.3] - 2026-04-15
+
+### Fixed
+
+- **Restored `skills/` and `.claude-plugin/` to the plugin install tarball.** v3.0.1 added `.gitattributes` rules that excluded both directories from `git archive` output to shrink the claude.ai `.skill` bundle. Claude Code's `/plugin install` fetches the same archive, so users installing v3.0.1 or v3.0.2 received a tarball with no plugin manifest and no skill files. `git archive v3.0.0` contained 8 files under those paths; `v3.0.1` and `v3.0.2` contained 0. This release reverts those `.gitattributes` lines.
+- **Reverted `plugin.json` `"skills"` field to `["./"]`.** v3.0.2 changed this to `["skills"]` based on a misdiagnosis — the manifest change had no effect because the manifest wasn't in the tarball at all. The historical `["./"]` value shipped in every release from v2.1.0 through v3.0.0 without issues and is restored here.
+
+### Recovery
+
+Users on v3.0.1 or v3.0.2: run `/plugin update last30days` then `/reload-plugins`. If autoUpdate is enabled, the next session start will pull v3.0.3 automatically. Users on cached v3.0.0 or earlier installs were unaffected.
+
+### Notes
+
+- The claude.ai `.skill` bundle built by `scripts/build-skill.sh` still works — the archive grew from 89 to 97 files, well under the 200-file cap.
+- claude.ai-specific exclusions (avoiding duplicate `SKILL.md` files in the bundle) should move into `scripts/build-skill.sh` rather than `.gitattributes` in a future release, since `.gitattributes` cannot distinguish between the two distribution channels.
+
+## [3.0.2] - 2026-04-15
+
+### Fixed
+
+- **`/last30days` slash command now registers on Claude Code v2.1.105+.** `.claude-plugin/plugin.json` declared `"skills": ["./"]`, which newer Claude Code rejects with `Path escapes plugin directory: ./ (skills)`. The skill silently failed to register, so `/last30days <query>` returned "Unknown command" even though `/plugin list` showed the plugin as installed. Fix: `"skills": ["skills"]` so the loader scans the real skill subdirectory.
+- **Version drift between manifests.** `.claude-plugin/marketplace.json` was pinned to `3.0.0` while `.claude-plugin/plugin.json` advertised `3.0.1`. The `/plugin` resolver used the marketplace version and could install stale cached metadata alongside the correct build. Both manifests now agree on `3.0.2`.
+
+### Recovery
+
+If `/last30days` stopped working for you, run `/plugin update last30days` then `/reload-plugins`. If `/doctor` still reports errors, uninstall and reinstall the plugin from the marketplace.
+
+## [3.0.1] - 2026-04-14
+
+### Fixed
+
+- **Skill upload packaging** - `scripts/build-skill.sh` produces a claude.ai-upload-ready `.skill` file that fits under the 200-file cap. Previously, zipping the repo hit 406 files and the "Upload skill" UI rejected it outright.
+- **SKILL.md description length** - trimmed from 228 to 167 chars (Anthropic caps descriptions at 200).
+
+### Removed
+
+- Unused root `vendor/` directory (215 files from an accidental commit in PR #48 - the real vendored X client lives at `scripts/lib/vendor/bird-search/`).
+- Legacy top-level `plans/` directory (superseded by `docs/plans/`; both plans described work that was already shipped in v3).
+
+### Added
+
+- `.gitattributes` with `export-ignore` entries so `git archive` drops tests, docs, fixtures, assets, historical manifests, and internal skill subdirs. Mirrors Anthropic's canonical `package_skill.py` exclusions.
+- `scripts/build-skill.sh` - one-command path to produce `dist/last30days.skill` with a single top-level `last30days/` folder, defensive `=200` file check, and dirty-tree refusal.
+- `README.md` section documenting the claude.ai skill upload workflow.
+
+## [3.0.0] - 2026-04-11
 
 ### Highlights
 
@@ -34,10 +79,18 @@ Intelligent search, fun judge, cross-source cluster merging, single-pass compari
 - Polymarket display shows % odds only; dollar volumes removed
 - 852 tests passing
 
+### Fixed
+
+- Marketplace validation: duplicate `name: last30days` collision in `skills/last30days/SKILL.md` caused strict validators to reject the plugin. Resolved by renaming the internal v3 architecture spec to `last30days-v3-spec` with `user-invocable: false`. Fixed in #214 (reported by @Cody-Coyote in #204).
+- Stale README link to the deleted `skills/last30days-v3/` path from the v3 directory rename. Fixed in #214.
+- OpenAI Codex CLI discoverability: added `.agents/skills/last30days/SKILL.md` as a real file (Codex's loader skips symlinked files) plus `.codex-plugin/plugin.json` as the namespace marker. The skill now registers as `last30days:last30days` when Codex runs in a checkout of the repo. Fixed in #219 (inspired by @Jah-yee in #153 and @dannyshmueli on X).
+
 ### Contributors
 
 - @j-sperling -- v3 engine architecture, Python pre-research brain
 - @hnshah -- Watchlist features
+- @Cody-Coyote -- Marketplace validation bug report (#204)
+- @Jah-yee -- Codex CLI integration inspiration (#153)
 
 ## [2.9.4] - 2026-03-06
 
@@ -181,7 +234,6 @@ Three headline features: watchlists for always-on bots, YouTube transcripts as a
 
 ### Credits
 
-- @steipete -- Bird CLI (vendored X search) and yt-dlp/summarize inspiration for YouTube transcripts
 - @galligan -- Marketplace plugin inspiration
 - @hutchins -- Pushed for YouTube feature
 

HERMES_SETUP.md

@@ -0,0 +1,121 @@
+# Hermes Setup Guide for last30days
+
+This guide covers installing last30days on Hermes AI Agent.
+
+## Prerequisites
+
+1. **Hermes installed** - See https://github.com/mercurial-tf/hermes
+2. **Python 3.12+** - `brew install python@3.12` or similar
+3. **yt-dlp** (optional, for YouTube) - `brew install yt-dlp`
+
+## Installation
+
+### Option 1: Via sync.sh (Recommended)
+
+```bash
+# Clone the repo
+git clone https://github.com/mvanhorn/last30days-skill.git
+cd last30days-skill
+
+# Run the sync script
+bash scripts/sync.sh
+```
+
+This will auto-detect Hermes and deploy to `~/.hermes/skills/research/last30days/`
+
+### Option 2: Manual Copy
+
+```bash
+# Create directory
+mkdir -p ~/.hermes/skills/research/last30days
+
+# Copy files
+cp -r scripts ~/.hermes/skills/research/last30days/
+cp .hermes-plugin/SKILL.md ~/.hermes/skills/research/last30days/
+```
+
+## Usage
+
+In Hermes, invoke with:
+
+```
+last30days "your research topic"
+```
+
+Or with options:
+```
+last30days "best mechanical keyboards 2025" --search=reddit,youtube
+last30days "AI news" --days=7 --deep
+```
+
+## First Run Setup
+
+On first run, the skill will guide you through setup:
+
+1. **Auto setup** (~30 seconds)
+   - Scans browser cookies for X/Twitter
+   - Checks/installs yt-dlp for YouTube
+   - Configures free sources (Reddit, HN, Polymarket)
+
+2. **Optional: ScrapeCreators**
+   - Adds TikTok, Instagram, Reddit backup
+   - 10,000 free API calls
+   - Sign up at scrapecreators.com
+
+3. **Optional: API Keys**
+   - XAI_API_KEY for X/Twitter (alternative to browser cookies)
+   - BRAVE_API_KEY for web search
+
+## Available Sources
+
+### Free (No API Key)
+- **Reddit** - Public discussions and comments
+- **Hacker News** - Tech discussions via Algolia
+- **Polymarket** - Prediction markets
+- **YouTube** - Search and transcripts (requires yt-dlp)
+
+### Requires API Key
+- **X/Twitter** - xAI API key or browser cookies
+- **TikTok** - ScrapeCreators API
+- **Instagram** - ScrapeCreators API
+- **Web Search** - Brave Search API
+
+## Troubleshooting
+
+### Python not found
+```bash
+# Find Python 3.12+
+which python3.12 python3.13 python3.14
+
+# If not installed
+brew install python@3.12
+```
+
+### yt-dlp not found
+```bash
+brew install yt-dlp
+# or
+pip install yt-dlp
+```
+
+### Check what's configured
+```bash
+cd ~/.hermes/skills/research/last30days
+python3.12 scripts/last30days.py --diagnose
+```
+
+## Updating
+
+To update to the latest version:
+
+```bash
+cd last30days-skill
+git pull
+bash scripts/sync.sh
+```
+
+## Support
+
+- Original repo: https://github.com/mvanhorn/last30days-skill
+- Hermes: https://github.com/mercurial-tf/hermes
+- Issues: Please report in the original repo

README.md

@@ -12,7 +12,7 @@
 
 **An AI agent-led search engine scored by upvotes, likes, and real money - not editors.**
 
-This README tracks the current v3 pipeline. The runtime skill spec lives in [skills/last30days-v3/SKILL.md](skills/last30days-v3/SKILL.md), which is the source of truth for the latest command and setup behavior.
+This README tracks the current v3 pipeline. The runtime skill spec lives in [skills/last30days/SKILL.md](skills/last30days/SKILL.md), which is the source of truth for the latest command and setup behavior.
 
 Claude Code:
 ```
@@ -24,6 +24,12 @@ OpenClaw:
 clawhub install last30days-official
 ```
 
+Hermes:
+```
+# The skill auto-deploys when you run sync.sh
+# Or manually copy to ~/.hermes/skills/research/last30days/
+```
+
 Zero config. Reddit, HN, Polymarket, and GitHub work immediately. Run it once and the setup wizard unlocks X, YouTube, TikTok, and more in 30 seconds.
 
 ---
@@ -122,7 +128,7 @@ Say "eli5 on" after any research run. The synthesis rewrites in plain language.
 
 - **Free Reddit comments.** Public JSON gives you threads + top comments with upvote counts. No API key, no ScrapeCreators. Just works.
 - **YouTube transcripts that actually work.** Widened candidate pool 3x past music videos to reach talk/review content with captions.
-- **Threads, Pinterest, YouTube comments.** Opt-in sources via ScrapeCreators. Set `INCLUDE_SOURCES=tiktok,instagram` and add threads, pinterest, youtube_comments for more.
+- **Threads, Pinterest, YouTube + TikTok comments.** Opt-in sources via ScrapeCreators. Set `INCLUDE_SOURCES=tiktok,instagram` and add threads, pinterest, youtube_comments, tiktok_comments for more. `youtube_comments` and `tiktok_comments` surface top comments with vote counts the same way Reddit does.
 - **Perplexity Sonar.** Grounded web search with citations via OpenRouter. Add `OPENROUTER_API_KEY` to unlock.
 - **Polymarket noise filtering.** Common-word disambiguation prevents "Apple" from matching "Will Apple release a car?"
 - **Resilient Reddit.** Timeout budgets and runtime fallback. One slow thread doesn't kill the whole run.
@@ -135,28 +141,52 @@ Say "eli5 on" after any research run. The synthesis rewrites in plain language.
 
 ## Install
 
+| Surface | Install |
+|---------|---------|
+| **claude.ai** (web) | [Download `last30days.skill`](https://github.com/mvanhorn/last30days-skill/releases/latest/download/last30days.skill) and upload via Settings > Capabilities > Skills > + |
+| **Claude Code** | `/plugin marketplace add mvanhorn/last30days-skill` |
+| **OpenClaw** | `clawhub install last30days-official` |
+| **Gemini CLI** | Clone then `gemini extensions install ./last30days-skill` (see below) |
+
+### claude.ai (web)
+
+1. [Download `last30days.skill`](https://github.com/mvanhorn/last30days-skill/releases/latest/download/last30days.skill) from the latest release
+2. Go to [claude.ai Settings > Capabilities > Skills](https://claude.ai/settings/capabilities)
+3. Click the `+` button in the Skills panel and drop the file in
+
+Enable "Code execution and file creation" under Capabilities first - skills won't run without it.
+
 ### Claude Code
 
-#### Install
 ```
 /plugin marketplace add mvanhorn/last30days-skill
 ```
 
-#### Update
-```
-claude plugin update last30days@last30days-skill
-```
+Update later with `claude plugin update last30days@last30days-skill`.
 
 ### OpenClaw
+
 ```bash
 clawhub install last30days-official
 ```
 
-### Manual
+### Gemini CLI
+
+Gemini CLI v0.9.0 has an upstream installer bug that can fail with `Configuration file not found at /tmp/gemini-extensionXXXXXX/gemini-extension.json` ([upstream issue](https://github.com/google-gemini/gemini-cli/issues/11452)). Workaround:
+
+```bash
+git clone https://github.com/mvanhorn/last30days-skill
+gemini extensions install ./last30days-skill
+```
+
+### Manual (developer)
+
 ```bash
 git clone https://github.com/mvanhorn/last30days-skill.git ~/.claude/skills/last30days
 ```
 
+Or build the claude.ai `.skill` file from source: `bash scripts/build-skill.sh` produces `dist/last30days.skill`.
+
 Reddit (with comments), Hacker News, Polymarket, and GitHub work immediately. Zero configuration. Run `/last30days` once and the setup wizard unlocks more sources in 30 seconds.
 
 ## Bring your own keys

SKILL.md

@@ -1,8 +1,8 @@
 ---
 name: last30days
-version: "3.0.0"
-description: "Multi-query social search with intelligent planning. Agent plans queries when possible, falls back to Gemini/OpenAI when not. Research any topic across Reddit, X, YouTube, TikTok, Instagram, Hacker News, Polymarket, and the web."
-argument-hint: 'last30days AI video tools, last30days best noise cancelling headphones'
+version: "3.0.1"
+description: "Research what people actually say about any topic in the last 30 days. Pulls posts and engagement from Reddit, X, YouTube, TikTok, Hacker News, Polymarket, GitHub, and the web."
+argument-hint: 'last30days nvidia earnings reaction | last30days AI video tools | last30days what users want in react'
 allowed-tools: Bash, Read, Write, AskUserQuestion, WebSearch
 homepage: https://github.com/mvanhorn/last30days-skill
 repository: https://github.com/mvanhorn/last30days-skill
@@ -59,7 +59,7 @@ metadata:
       - clawhub
 ---
 
-# last30days v2.9.5: Research Any Topic from the Last 30 Days
+# last30days v3.0.1: Research Any Topic from the Last 30 Days
 
 > **Permissions overview:** Reads public web/platform data and optionally saves research briefings to `~/Documents/Last30Days/`. X/Twitter search uses optional user-provided tokens (AUTH_TOKEN/CT0 env vars). Bluesky search uses optional app password (BSKY_HANDLE/BSKY_APP_PASSWORD env vars - create at bsky.app/settings/app-passwords). All credential usage and data writes are documented in the [Security & Permissions](#security--permissions) section.
 
@@ -203,8 +203,8 @@ Your ScrapeCreators key powers TikTok, Instagram, Threads, Pinterest, and YouTub
 **Call AskUserQuestion:**
 Question: "Which ScrapeCreators sources do you want on?"
 Options:
-- "TikTok + Instagram (recommended)" - append `INCLUDE_SOURCES=tiktok,instagram` to ~/.config/last30days/.env. Confirm: "TikTok and Instagram are on, plus Reddit backup if public Reddit has issues. You can add threads, pinterest, youtube_comments to INCLUDE_SOURCES anytime."
-- "Everything - TikTok, Instagram, Threads, Pinterest, YouTube comments" - append `INCLUDE_SOURCES=tiktok,instagram,threads,pinterest,youtube_comments` to ~/.config/last30days/.env. Confirm: "All ScrapeCreators sources are on."
+- "TikTok + Instagram (recommended)" - append `INCLUDE_SOURCES=tiktok,instagram` to ~/.config/last30days/.env. Confirm: "TikTok and Instagram are on, plus Reddit backup if public Reddit has issues. You can add threads, pinterest, youtube_comments, tiktok_comments to INCLUDE_SOURCES anytime."
+- "Everything - TikTok, Instagram, Threads, Pinterest, YouTube + TikTok comments" - append `INCLUDE_SOURCES=tiktok,instagram,threads,pinterest,youtube_comments,tiktok_comments` to ~/.config/last30days/.env. Confirm: "All ScrapeCreators sources are on."
 - "Just the basics - let's run our first search" - don't write the flag. Confirm: "Got it. ScrapeCreators will serve as Reddit backup. You can add sources to INCLUDE_SOURCES in your .env anytime."
 
 **After TikTok/Instagram opt-in (or SC skip), show the first research topic modal:**
@@ -244,7 +244,7 @@ YouTube (free, open source):
 
 Bonus: TikTok, Instagram, Threads, Pinterest, YouTube comments (ScrapeCreators):
 - `SCRAPECREATORS_API_KEY=xxx` - 10,000 free calls at scrapecreators.com.
-- After adding your key, set `INCLUDE_SOURCES=tiktok,instagram` to turn on the most popular ones. Add threads, pinterest, youtube_comments for more.
+- After adding your key, set `INCLUDE_SOURCES=tiktok,instagram` to turn on the most popular ones. Add threads, pinterest, youtube_comments, tiktok_comments for more.
 
 GitHub Issues/PRs (free, no key needed):
 - If you have the `gh` CLI installed (`brew install gh`), GitHub search is automatic. No API key required.
@@ -290,7 +290,7 @@ Create `~/.config/last30days/.env` if it doesn't exist (check first!), pre-popul
 
 # ScrapeCreators (10,000 free calls - scrapecreators.com):
 # SCRAPECREATORS_API_KEY=    # Unlocks: TikTok, Instagram, Reddit backup (if public Reddit gets rate-limited)
-#                             # Optional: add threads, pinterest, youtube_comments for more
+#                             # Optional: add threads, pinterest, youtube_comments, tiktok_comments for more
 # INCLUDE_SOURCES=tiktok,instagram
 
 # YouTube: install yt-dlp (brew install yt-dlp) - no key needed
@@ -776,7 +776,7 @@ The script will automatically:
 
 **Read the ENTIRE output.** It contains EIGHT data sections in this order: Reddit items, X items, YouTube items, TikTok items, Instagram Reels items, Hacker News items, Polymarket items, and WebSearch items. If you miss sections, you will produce incomplete stats.
 
-**YouTube items in the output look like:** `**{video_id}** (score:N) {channel_name} [N views, N likes]` followed by a title, URL, **transcript highlights** (pre-extracted quotable excerpts from the video), and an optional full transcript in a collapsible section. **Quote the highlights directly in your synthesis** - they are the YouTube equivalent of Reddit top comments. Attribute quotes to the channel name. Count them and include them in your synthesis and stats block.
+**YouTube items in the output look like:** `**{video_id}** (score:N) {channel_name} [N views, N likes]` followed by a title, URL, **transcript highlights** (pre-extracted quotable excerpts from the video), and an optional full transcript in a collapsible section. **Quote the highlights directly in your synthesis.** When YouTube items also include top comments (enabled via `youtube_comments`), quote those too with their like counts — they capture how viewers reacted to the video. Transcript highlights and top comments are complementary signals; use both when present. Attribute transcript quotes to the channel name, comment quotes to the commenter. Count them and include them in your synthesis and stats block.
 
 **TikTok items in the output look like:** `**{TK_id}** (score:N) @{creator} [N views, N likes]` followed by a caption, URL, hashtags, and optional caption snippet. Count them and include them in your synthesis and stats block.
 
@@ -880,8 +880,8 @@ The Judge Agent must:
 2. Weight YouTube sources HIGH (they have views, likes, and transcript content)
 3. Weight TikTok sources HIGH (they have views, likes, and caption content — viral signal)
 4. Weight WebSearch sources LOWER (no engagement data)
-5. **For Reddit: Pay special attention to top comments** — they often contain the wittiest, most insightful, or funniest take. Quote them directly.
-6. **For YouTube: Quote transcript highlights directly.** Attribute to the channel name.
+5. **For Reddit, YouTube, and TikTok: Pay special attention to top comments** — they often contain the wittiest, most insightful, or funniest take. Quote them directly, attributing to the commenter and including the vote count ("N upvotes" for Reddit, "N likes" for YouTube and TikTok). A top comment with thousands of votes is a stronger community signal than the parent post's stats alone.
+6. **For YouTube: Quote transcript highlights AND top comments.** Transcript highlights capture the video's own words; top comments capture how viewers reacted. Both add value — use them together. Attribute transcript quotes to the channel name.
 7. Identify patterns that appear across ALL sources (strongest signals)
 8. Note any contradictions between sources
 9. **Multi-source clusters (items from 3+ platforms) are the strongest signals.** Lead with these.
@@ -1067,7 +1067,7 @@ CITATION RULE: Cite sources sparingly to prove research is real.
 
 CITATION PRIORITY (most to least preferred):
 1. @handles from X — "per @handle" (these prove the tool's unique value)
-2. r/subreddits from Reddit — "per r/subreddit" (when citing Reddit, prefer quoting top comments over just the thread title)
+2. r/subreddits from Reddit — "per r/subreddit" (when citing Reddit, YouTube, or TikTok, prefer quoting top comments over just the thread title)
 3. YouTube channels — "per [channel name] on YouTube" (transcript-backed insights)
 4. TikTok creators — "per @creator on TikTok" (viral/trending signal)
 5. Instagram creators — "per @creator on Instagram" (influencer/creator signal)

fixtures/eval_topics.json

@@ -0,0 +1,42 @@
+[
+  {
+    "topic": "OpenClaw vs NanoClaw vs ZeroClaw",
+    "query_type": "comparison",
+    "rationale": "Multi-entity extraction, 3-way split across AI agent frameworks."
+  },
+  {
+    "topic": "how to set up a GLP-1 supplement routine",
+    "query_type": "how_to",
+    "rationale": "Trending health topic. Tests non-tech how_to."
+  },
+  {
+    "topic": "2026 March Madness",
+    "query_type": "breaking_news",
+    "rationale": "Live sporting event. Tests broad breaking news recall."
+  },
+  {
+    "topic": "best budget noise cancelling headphones 2026",
+    "query_type": "product",
+    "rationale": "Evergreen consumer query. Tests product review aggregation."
+  },
+  {
+    "topic": "thoughts on OpenAI Codex pricing",
+    "query_type": "opinion",
+    "rationale": "Active developer debate. Tests opinion mining."
+  },
+  {
+    "topic": "odds of US recession 2026",
+    "query_type": "prediction",
+    "rationale": "Major macro topic. Tests prediction market + news synthesis."
+  },
+  {
+    "topic": "what is retrieval augmented generation",
+    "query_type": "concept",
+    "rationale": "Widely discussed AI concept. Tests explanation quality."
+  },
+  {
+    "topic": "Google Wiz acquisition price and timeline",
+    "query_type": "factual",
+    "rationale": "Completed event ($32B). Tests factual precision."
+  }
+]

gemini-extension.json

@@ -1,6 +1,6 @@
 {
   "name": "last30days-skill",
-  "version": "3.0.0",
+  "version": "3.0.3",
   "description": "Research a topic from the last 30 days across Reddit, X, YouTube, TikTok, Instagram, Hacker News, Polymarket, and the web.",
   "settings": [
     {

hooks/scripts/check-config.sh

@@ -12,7 +12,11 @@ check_perms() {
   local file="$1"
   if [[ ! -f "$file" ]]; then return; fi
   local perms
-  perms=$(stat -f '%Lp' "$file" 2>/dev/null || stat -c '%a' "$file" 2>/dev/null || echo "")
+  # Try GNU stat first (Linux), fall back to BSD stat (macOS).
+  # On Linux, `stat -f` prints filesystem info (not permissions) and exits 0,
+  # so the previous BSD-first ordering left $perms as multi-line garbage on
+  # every Linux session start and printed a false WARNING.
+  perms=$(stat -c '%a' "$file" 2>/dev/null || stat -f '%Lp' "$file" 2>/dev/null || echo "")
   if [[ -n "$perms" && "$perms" != "600" && "$perms" != "400" ]]; then
     echo "/last30days: WARNING — $file has permissions $perms (should be 600)."
     echo "  Fix: chmod 600 $file"

plans/feat-add-websearch-source.md

@@ -1,395 +0,0 @@
-# feat: Add WebSearch as Third Source (Zero-Config Fallback)
-
-## Overview
-
-Add Claude's built-in WebSearch tool as a third research source for `/last30days`. This enables the skill to work **out of the box with zero API keys** while preserving the primacy of Reddit/X as the "voice of real humans with popularity signals."
-
-**Key principle**: WebSearch is supplementary, not primary. Real human voices on Reddit/X with engagement metrics (upvotes, likes, comments) are more valuable than general web content.
-
-## Problem Statement
-
-Currently `/last30days` requires at least one API key (OpenAI or xAI) to function. Users without API keys get an error. Additionally, web search could fill gaps where Reddit/X coverage is thin.
-
-**User requirements**:
-- Work out of the box (no API key needed)
-- Must NOT overpower Reddit/X results
-- Needs proper weighting
-- Validate with before/after testing
-
-## Proposed Solution
-
-### Weighting Strategy: "Engagement-Adjusted Scoring"
-
-**Current formula** (same for Reddit/X):
-```
-score = 0.45*relevance + 0.25*recency + 0.30*engagement - penalties
-```
-
-**Problem**: WebSearch has NO engagement metrics. Giving it `DEFAULT_ENGAGEMENT=35` with `-10 penalty` = 25 base, which still competes unfairly.
-
-**Solution**: Source-specific scoring with **engagement substitution**:
-
-| Source | Relevance | Recency | Engagement | Source Penalty |
-|--------|-----------|---------|------------|----------------|
-| Reddit | 45% | 25% | 30% (real metrics) | 0 |
-| X | 45% | 25% | 30% (real metrics) | 0 |
-| WebSearch | 55% | 35% | 0% (no data) | -15 points |
-
-**Rationale**:
-- WebSearch items compete on relevance + recency only (reweighted to 100%)
-- `-15 point source penalty` ensures WebSearch ranks below comparable Reddit/X items
-- High-quality WebSearch can still surface (score 60-70) but won't dominate (Reddit/X score 70-85)
-
-### Mode Behavior
-
-| API Keys Available | Default Behavior | `--include-web` |
-|--------------------|------------------|-----------------|
-| None | **WebSearch only** | n/a |
-| OpenAI only | Reddit only | Reddit + WebSearch |
-| xAI only | X only | X + WebSearch |
-| Both | Reddit + X | Reddit + X + WebSearch |
-
-**CLI flag**: `--include-web` (default: false when other sources available)
-
-## Technical Approach
-
-### Architecture
-
-```
-┌─────────────────────────────────────────────────────────────────┐
-│                     last30days.py orchestrator                   │
-├─────────────────────────────────────────────────────────────────┤
-│  run_research()                                                  │
-│  ├── if sources includes "reddit": openai_reddit.search_reddit()│
-│  ├── if sources includes "x": xai_x.search_x()                  │
-│  └── if sources includes "web": websearch.search_web() ← NEW    │
-└─────────────────────────────────────────────────────────────────┘
-                              │
-                              ▼
-┌─────────────────────────────────────────────────────────────────┐
-│                     Processing Pipeline                          │
-├─────────────────────────────────────────────────────────────────┤
-│  normalize_websearch_items() → WebSearchItem schema ← NEW        │
-│  score_websearch_items() → engagement-free scoring ← NEW         │
-│  dedupe_websearch() → deduplication ← NEW                        │
-│  render_websearch_section() → output formatting ← NEW            │
-└─────────────────────────────────────────────────────────────────┘
-```
-
-### Implementation Phases
-
-#### Phase 1: Schema & Core Infrastructure
-
-**Files to create/modify:**
-
-```python
-# scripts/lib/websearch.py (NEW)
-"""Claude WebSearch API client for general web discovery."""
-
-WEBSEARCH_PROMPT = """Search the web for content about: {topic}
-
-CRITICAL: Only include results from the last 30 days (after {from_date}).
-
-Find {min_items}-{max_items} high-quality, relevant web pages. Prefer:
-- Blog posts, tutorials, documentation
-- News articles, announcements
-- Authoritative sources (official docs, reputable publications)
-
-AVOID:
-- Reddit (covered separately)
-- X/Twitter (covered separately)
-- YouTube without transcripts
-- Forum threads without clear answers
-
-Return ONLY valid JSON:
-{{
-  "items": [
-    {{
-      "title": "Page title",
-      "url": "https://...",
-      "source_domain": "example.com",
-      "snippet": "Brief excerpt (100-200 chars)",
-      "date": "YYYY-MM-DD or null",
-      "why_relevant": "Brief explanation",
-      "relevance": 0.85
-    }}
-  ]
-}}
-"""
-
-def search_web(topic: str, from_date: str, to_date: str, depth: str = "default") -> dict:
-    """Search web using Claude's built-in WebSearch tool.
-
-    NOTE: This runs INSIDE Claude Code, so we use the WebSearch tool directly.
-    No API key needed - uses Claude's session.
-    """
-    # Implementation uses Claude's web_search_20250305 tool
-    pass
-
-def parse_websearch_response(response: dict) -> list[dict]:
-    """Parse WebSearch results into normalized format."""
-    pass
-```
-
-```python
-# scripts/lib/schema.py - ADD WebSearchItem
-
-@dataclass
-class WebSearchItem:
-    """Normalized web search item."""
-    id: str
-    title: str
-    url: str
-    source_domain: str  # e.g., "medium.com", "github.com"
-    snippet: str
-    date: Optional[str] = None
-    date_confidence: str = "low"
-    relevance: float = 0.5
-    why_relevant: str = ""
-    subs: SubScores = field(default_factory=SubScores)
-    score: int = 0
-
-    def to_dict(self) -> Dict[str, Any]:
-        return {
-            'id': self.id,
-            'title': self.title,
-            'url': self.url,
-            'source_domain': self.source_domain,
-            'snippet': self.snippet,
-            'date': self.date,
-            'date_confidence': self.date_confidence,
-            'relevance': self.relevance,
-            'why_relevant': self.why_relevant,
-            'subs': self.subs.to_dict(),
-            'score': self.score,
-        }
-```
-
-#### Phase 2: Scoring System Updates
-
-```python
-# scripts/lib/score.py - ADD websearch scoring
-
-# New constants
-WEBSEARCH_SOURCE_PENALTY = 15  # Points deducted for lacking engagement
-
-# Reweighted for no engagement
-WEBSEARCH_WEIGHT_RELEVANCE = 0.55
-WEBSEARCH_WEIGHT_RECENCY = 0.45
-
-def score_websearch_items(items: List[schema.WebSearchItem]) -> List[schema.WebSearchItem]:
-    """Score WebSearch items WITHOUT engagement metrics.
-
-    Uses reweighted formula: 55% relevance + 45% recency - 15pt source penalty
-    """
-    for item in items:
-        rel_score = int(item.relevance * 100)
-        rec_score = dates.recency_score(item.date)
-
-        item.subs = schema.SubScores(
-            relevance=rel_score,
-            recency=rec_score,
-            engagement=0,  # Explicitly zero - no engagement data
-        )
-
-        overall = (
-            WEBSEARCH_WEIGHT_RELEVANCE * rel_score +
-            WEBSEARCH_WEIGHT_RECENCY * rec_score
-        )
-
-        # Apply source penalty (WebSearch < Reddit/X)
-        overall -= WEBSEARCH_SOURCE_PENALTY
-
-        # Apply date confidence penalty (same as other sources)
-        if item.date_confidence == "low":
-            overall -= 10
-        elif item.date_confidence == "med":
-            overall -= 5
-
-        item.score = max(0, min(100, int(overall)))
-
-    return items
-```
-
-#### Phase 3: Orchestrator Integration
-
-```python
-# scripts/last30days.py - UPDATE run_research()
-
-def run_research(...) -> tuple:
-    """Run the research pipeline.
-
-    Returns: (reddit_items, x_items, web_items, raw_openai, raw_xai,
-              raw_websearch, reddit_error, x_error, web_error)
-    """
-    # ... existing Reddit/X code ...
-
-    # WebSearch (new)
-    web_items = []
-    raw_websearch = None
-    web_error = None
-
-    if sources in ("all", "web", "reddit-web", "x-web"):
-        if progress:
-            progress.start_web()
-
-        try:
-            raw_websearch = websearch.search_web(topic, from_date, to_date, depth)
-            web_items = websearch.parse_websearch_response(raw_websearch)
-        except Exception as e:
-            web_error = f"{type(e).__name__}: {e}"
-
-        if progress:
-            progress.end_web(len(web_items))
-
-    return (reddit_items, x_items, web_items, raw_openai, raw_xai,
-            raw_websearch, reddit_error, x_error, web_error)
-```
-
-#### Phase 4: CLI & Environment Updates
-
-```python
-# scripts/last30days.py - ADD CLI flag
-
-parser.add_argument(
-    "--include-web",
-    action="store_true",
-    help="Include general web search alongside Reddit/X (lower weighted)",
-)
-
-# scripts/lib/env.py - UPDATE get_available_sources()
-
-def get_available_sources(config: dict) -> str:
-    """Determine available sources. WebSearch always available (no API key)."""
-    has_openai = bool(config.get('OPENAI_API_KEY'))
-    has_xai = bool(config.get('XAI_API_KEY'))
-
-    if has_openai and has_xai:
-        return 'both'  # WebSearch available but not default
-    elif has_openai:
-        return 'reddit'
-    elif has_xai:
-        return 'x'
-    else:
-        return 'web'  # Fallback: WebSearch only (no keys needed)
-```
-
-## Acceptance Criteria
-
-### Functional Requirements
-
-- [x] Skill works with zero API keys (WebSearch-only mode)
-- [x] `--include-web` flag adds WebSearch to Reddit/X searches
-- [x] WebSearch items have lower average scores than Reddit/X items with similar relevance
-- [x] WebSearch results exclude Reddit/X URLs (handled separately)
-- [x] Date filtering uses natural language ("last 30 days") in prompt
-- [x] Output clearly labels source type: `[WEB]`, `[Reddit]`, `[X]`
-
-### Non-Functional Requirements
-
-- [x] WebSearch adds <10s latency to total research time (0s - deferred to Claude)
-- [x] Graceful degradation if WebSearch fails
-- [ ] Cache includes WebSearch results appropriately
-
-### Quality Gates
-
-- [x] Before/after testing shows WebSearch doesn't dominate rankings (via -15pt penalty)
-- [x] Test: 10 Reddit + 10 X + 10 WebSearch → WebSearch avg score 15-20pts lower (scoring formula verified)
-- [x] Test: WebSearch-only mode produces useful results for common topics
-
-## Testing Plan
-
-### Before/After Comparison Script
-
-```python
-# tests/test_websearch_weighting.py
-
-"""
-Test harness to validate WebSearch doesn't overpower Reddit/X.
-
-Run same queries with:
-1. Reddit + X only (baseline)
-2. Reddit + X + WebSearch (comparison)
-
-Verify: WebSearch items rank lower on average.
-"""
-
-TEST_QUERIES = [
-    "best practices for react server components",
-    "AI coding assistants comparison",
-    "typescript 5.5 new features",
-]
-
-def test_websearch_weighting():
-    for query in TEST_QUERIES:
-        # Run without WebSearch
-        baseline = run_research(query, sources="both")
-        baseline_scores = [item.score for item in baseline.reddit + baseline.x]
-
-        # Run with WebSearch
-        with_web = run_research(query, sources="both", include_web=True)
-        web_scores = [item.score for item in with_web.web]
-        reddit_x_scores = [item.score for item in with_web.reddit + with_web.x]
-
-        # Assertions
-        avg_reddit_x = sum(reddit_x_scores) / len(reddit_x_scores)
-        avg_web = sum(web_scores) / len(web_scores) if web_scores else 0
-
-        assert avg_web < avg_reddit_x - 10, \
-            f"WebSearch avg ({avg_web}) too close to Reddit/X avg ({avg_reddit_x})"
-
-        # Check top 5 aren't all WebSearch
-        top_5 = sorted(with_web.reddit + with_web.x + with_web.web,
-                       key=lambda x: -x.score)[:5]
-        web_in_top_5 = sum(1 for item in top_5 if isinstance(item, WebSearchItem))
-        assert web_in_top_5 <= 2, f"Too many WebSearch items in top 5: {web_in_top_5}"
-```
-
-### Manual Test Scenarios
-
-| Scenario | Expected Outcome |
-|----------|------------------|
-| No API keys, run `/last30days AI tools` | WebSearch-only results, useful output |
-| Both keys + `--include-web`, run `/last30days react` | Mix of all 3 sources, Reddit/X dominate top 10 |
-| Niche topic (no Reddit/X coverage) | WebSearch fills gap, becomes primary |
-| Popular topic (lots of Reddit/X) | WebSearch present but lower-ranked |
-
-## Dependencies & Prerequisites
-
-- Claude Code's WebSearch tool (`web_search_20250305`) - already available
-- No new API keys required
-- Existing test infrastructure in `tests/`
-
-## Risk Analysis & Mitigation
-
-| Risk | Likelihood | Impact | Mitigation |
-|------|------------|--------|------------|
-| WebSearch returns stale content | Medium | Medium | Enforce date in prompt, apply low-confidence penalty |
-| WebSearch dominates rankings | Low | High | Source penalty (-15pts), testing validates |
-| WebSearch adds spam/low-quality | Medium | Medium | Exclude social media domains, domain filtering |
-| Date parsing unreliable | High | Medium | Accept "low" confidence as normal for WebSearch |
-
-## Future Considerations
-
-1. **Domain authority scoring**: Could proxy engagement with domain reputation
-2. **User-configurable weights**: Let users adjust WebSearch penalty
-3. **Domain whitelist/blacklist**: Filter WebSearch to trusted sources
-4. **Parallel execution**: Run all 3 sources concurrently for speed
-
-## References
-
-### Internal References
-- Scoring algorithm: `scripts/lib/score.py:8-15`
-- Source detection: `scripts/lib/env.py:57-72`
-- Schema patterns: `scripts/lib/schema.py:76-138`
-- Orchestrator: `scripts/last30days.py:54-164`
-
-### External References
-- Claude WebSearch docs: https://platform.claude.com/docs/en/agents-and-tools/tool-use/web-search-tool
-- WebSearch pricing: $10/1K searches + token costs
-- Date filtering limitation: No explicit date params, use natural language
-
-### Research Findings
-- Reddit upvotes are ~12% of ranking value in SEO (strong signal)
-- E-E-A-T framework: Engagement metrics = trust signal
-- MSA2C2 approach: Dynamic weight learning for multi-source aggregation

plans/fix-strict-date-filtering.md

@@ -1,328 +0,0 @@
-# fix: Enforce Strict 30-Day Date Filtering
-
-## Overview
-
-The `/last30days` skill is returning content older than 30 days, violating its core promise. Analysis shows:
-- **Reddit**: Only 40% of results within 30 days (9/15 were older, some from 2022!)
-- **X**: 100% within 30 days (working correctly)
-- **WebSearch**: 90% had unknown dates (can't verify freshness)
-
-## Problem Statement
-
-The skill's name is "last30days" - users expect ONLY content from the last 30 days. Currently:
-
-1. **Reddit search prompt** says "prefer recent threads, but include older relevant ones if recent ones are scarce" - this is too permissive
-2. **X search prompt** explicitly includes `from_date` and `to_date` - this is why it works
-3. **WebSearch** returns pages without publication dates - we can't verify they're recent
-4. **Scoring penalties** (-10 for low date confidence) don't prevent old content from appearing
-
-## Proposed Solution
-
-### Strategy: "Hard Filter, Not Soft Penalty"
-
-Instead of penalizing old content, **exclude it entirely**. If it's not from the last 30 days, it shouldn't appear.
-
-| Source | Current Behavior | New Behavior |
-|--------|------------------|--------------|
-| Reddit | Weak "prefer recent" | Explicit date range + hard filter |
-| X | Explicit date range (working) | No change needed |
-| WebSearch | No date awareness | Require recent markers OR exclude |
-
-## Technical Approach
-
-### Phase 1: Fix Reddit Date Filtering
-
-**File: `scripts/lib/openai_reddit.py`**
-
-Current prompt (line 33):
-```
-Find {min_items}-{max_items} relevant Reddit discussion threads.
-Prefer recent threads, but include older relevant ones if recent ones are scarce.
-```
-
-New prompt:
-```
-Find {min_items}-{max_items} relevant Reddit discussion threads from {from_date} to {to_date}.
-
-CRITICAL: Only include threads posted within the last 30 days (after {from_date}).
-Do NOT include threads older than {from_date}, even if they seem relevant.
-If you cannot find enough recent threads, return fewer results rather than older ones.
-```
-
-**Changes needed:**
-1. Add `from_date` and `to_date` parameters to `search_reddit()` function
-2. Inject dates into `REDDIT_SEARCH_PROMPT` like X does
-3. Update caller in `last30days.py` to pass dates
-
-### Phase 2: Add Hard Date Filtering (Post-Processing)
-
-**File: `scripts/lib/normalize.py`**
-
-Add a filter step that DROPS items with dates before `from_date`:
-
-```python
-def filter_by_date_range(
-    items: List[Union[RedditItem, XItem, WebSearchItem]],
-    from_date: str,
-    to_date: str,
-    require_date: bool = False,
-) -> List:
-    """Hard filter: Remove items outside the date range.
-
-    Args:
-        items: List of items to filter
-        from_date: Start date (YYYY-MM-DD)
-        to_date: End date (YYYY-MM-DD)
-        require_date: If True, also remove items with no date
-
-    Returns:
-        Filtered list with only items in range
-    """
-    result = []
-    for item in items:
-        if item.date is None:
-            if not require_date:
-                result.append(item)  # Keep unknown dates (with penalty)
-            continue
-
-        # Hard filter: if date is before from_date, exclude
-        if item.date < from_date:
-            continue  # DROP - too old
-
-        if item.date > to_date:
-            continue  # DROP - future date (likely parsing error)
-
-        result.append(item)
-
-    return result
-```
-
-### Phase 3: WebSearch Date Intelligence
-
-WebSearch CAN find recent content - Medium posts have dates, GitHub has commit timestamps, news sites have publication dates. We should **extract and prioritize** these signals.
-
-**Strategy: "Date Detective"**
-
-1. **Extract dates from URLs**: Many sites embed dates in URLs
-   - Medium: `medium.com/@author/title-abc123` (no date) vs news sites
-   - GitHub: Look for commit dates, release dates in snippets
-   - News: `/2026/01/24/article-title`
-   - Blogs: `/blog/2026/01/title`
-
-2. **Extract dates from snippets**: Look for date markers
-   - "January 24, 2026", "Jan 2026", "yesterday", "this week"
-   - "Published:", "Posted:", "Updated:"
-   - Relative markers: "2 days ago", "last week"
-
-3. **Prioritize results with verifiable dates**:
-   - Results with recent dates (within 30 days): Full score
-   - Results with old dates: EXCLUDE
-   - Results with no date signals: Heavy penalty (-20) but keep as supplementary
-
-**File: `scripts/lib/websearch.py`**
-
-Add date extraction functions:
-
-```python
-import re
-from datetime import datetime, timedelta
-
-# Patterns for date extraction
-URL_DATE_PATTERNS = [
-    r'/(\d{4})/(\d{2})/(\d{2})/',  # /2026/01/24/
-    r'/(\d{4})-(\d{2})-(\d{2})/',  # /2026-01-24/
-    r'/(\d{4})(\d{2})(\d{2})/',    # /20260124/
-]
-
-SNIPPET_DATE_PATTERNS = [
-    r'(Jan|Feb|Mar|Apr|May|Jun|Jul|Aug|Sep|Oct|Nov|Dec)[a-z]* (\d{1,2}),? (\d{4})',
-    r'(\d{1,2}) (Jan|Feb|Mar|Apr|May|Jun|Jul|Aug|Sep|Oct|Nov|Dec)[a-z]* (\d{4})',
-    r'(\d{4})-(\d{2})-(\d{2})',
-    r'Published:?\s*(\d{4}-\d{2}-\d{2})',
-    r'(\d{1,2}) (days?|hours?|minutes?) ago',  # Relative dates
-]
-
-def extract_date_from_url(url: str) -> Optional[str]:
-    """Try to extract a date from URL path."""
-    for pattern in URL_DATE_PATTERNS:
-        match = re.search(pattern, url)
-        if match:
-            # Parse and return YYYY-MM-DD format
-            ...
-    return None
-
-def extract_date_from_snippet(snippet: str) -> Optional[str]:
-    """Try to extract a date from text snippet."""
-    for pattern in SNIPPET_DATE_PATTERNS:
-        match = re.search(pattern, snippet, re.IGNORECASE)
-        if match:
-            # Parse and return YYYY-MM-DD format
-            ...
-    return None
-
-def extract_date_signals(url: str, snippet: str, title: str) -> tuple[Optional[str], str]:
-    """Extract date from any available signal.
-
-    Returns: (date_string, confidence)
-    - date from URL: 'high' confidence
-    - date from snippet: 'med' confidence
-    - no date found: None, 'low' confidence
-    """
-    # Try URL first (most reliable)
-    url_date = extract_date_from_url(url)
-    if url_date:
-        return url_date, 'high'
-
-    # Try snippet
-    snippet_date = extract_date_from_snippet(snippet)
-    if snippet_date:
-        return snippet_date, 'med'
-
-    # Try title
-    title_date = extract_date_from_snippet(title)
-    if title_date:
-        return title_date, 'med'
-
-    return None, 'low'
-```
-
-**Update WebSearch parsing to use date extraction:**
-
-```python
-def parse_websearch_results(results, topic, from_date, to_date):
-    items = []
-    for result in results:
-        url = result.get('url', '')
-        snippet = result.get('snippet', '')
-        title = result.get('title', '')
-
-        # Extract date signals
-        extracted_date, confidence = extract_date_signals(url, snippet, title)
-
-        # Hard filter: if we found a date and it's too old, skip
-        if extracted_date and extracted_date < from_date:
-            continue  # DROP - verified old content
-
-        item = {
-            'date': extracted_date,
-            'date_confidence': confidence,
-            ...
-        }
-        items.append(item)
-
-    return items
-```
-
-**File: `scripts/lib/score.py`**
-
-Update WebSearch scoring to reward date-verified results:
-
-```python
-# WebSearch date confidence adjustments
-WEBSEARCH_NO_DATE_PENALTY = 20  # Heavy penalty for no date (was 10)
-WEBSEARCH_VERIFIED_BONUS = 10   # Bonus for URL-verified recent date
-
-def score_websearch_items(items):
-    for item in items:
-        ...
-        # Date confidence adjustments
-        if item.date_confidence == 'high':
-            overall += WEBSEARCH_VERIFIED_BONUS  # Reward verified dates
-        elif item.date_confidence == 'low':
-            overall -= WEBSEARCH_NO_DATE_PENALTY  # Heavy penalty for unknown
-        ...
-```
-
-**Result**: WebSearch results with verifiable recent dates rank well. Results with no dates are heavily penalized but still appear as supplementary context. Old verified content is excluded entirely.
-
-### Phase 4: Update Statistics Display
-
-Only count Reddit and X in "from the last 30 days" claim. WebSearch should be clearly labeled as supplementary.
-
-## Acceptance Criteria
-
-### Functional Requirements
-
-- [x] Reddit search prompt includes explicit `from_date` and `to_date`
-- [x] Items with dates before `from_date` are EXCLUDED, not just penalized
-- [x] X search continues working (no regression)
-- [x] WebSearch extracts dates from URLs (e.g., `/2026/01/24/`)
-- [x] WebSearch extracts dates from snippets (e.g., "January 24, 2026")
-- [x] WebSearch with verified recent dates gets +10 bonus
-- [x] WebSearch with no date signals gets -20 penalty (but still appears)
-- [x] WebSearch with verified OLD dates is EXCLUDED
-
-### Non-Functional Requirements
-
-- [ ] No increase in API latency
-- [ ] Graceful handling when few recent results exist (return fewer, not older)
-- [ ] Clear user messaging when results are limited due to strict filtering
-
-### Quality Gates
-
-- [ ] Test: Reddit search returns 0% results older than 30 days
-- [ ] Test: X search continues to return 100% recent results
-- [ ] Test: WebSearch is clearly differentiated in output
-- [ ] Test: Edge case - topic with no recent content shows helpful message
-
-## Implementation Order
-
-1. **Phase 1**: Fix Reddit prompt (highest impact, simple change)
-2. **Phase 2**: Add hard date filter in normalize.py (safety net)
-3. **Phase 3**: Add WebSearch date extraction (URL + snippet parsing)
-4. **Phase 4**: Update WebSearch scoring (bonus for verified, heavy penalty for unknown)
-5. **Phase 5**: Update output display to show date confidence
-
-## Testing Plan
-
-### Before/After Test
-
-Run same query before and after fix:
-```
-/last30days remotion launch videos
-```
-
-**Expected Before:**
-- Reddit: 40% within 30 days
-
-**Expected After:**
-- Reddit: 100% within 30 days (or fewer results if not enough recent content)
-
-### Edge Case Tests
-
-| Scenario | Expected Behavior |
-|----------|-------------------|
-| Topic with no recent content | Return 0 results + helpful message |
-| Topic with 5 recent results | Return 5 results (not pad with old ones) |
-| Mixed old/new results | Only return new ones |
-
-### WebSearch Date Extraction Tests
-
-| URL/Snippet | Expected Date | Confidence |
-|-------------|---------------|------------|
-| `medium.com/blog/2026/01/15/title` | 2026-01-15 | high |
-| `github.com/repo` + "Released Jan 20, 2026" | 2026-01-20 | med |
-| `docs.example.com/guide` (no date signals) | None | low |
-| `news.site.com/2024/05/old-article` | 2024-05-XX | EXCLUDE (too old) |
-| Snippet: "Updated 3 days ago" | calculated | med |
-
-## Risk Analysis
-
-| Risk | Likelihood | Impact | Mitigation |
-|------|------------|--------|------------|
-| Fewer results for niche topics | High | Medium | Explain why in output |
-| User confusion about reduced results | Medium | Low | Clear messaging |
-| Date parsing errors exclude valid content | Low | Medium | Keep items with unknown dates, just label clearly |
-
-## References
-
-### Internal References
-- Reddit search: `scripts/lib/openai_reddit.py:25-63`
-- X search (working example): `scripts/lib/xai_x.py:26-55`
-- Date confidence: `scripts/lib/dates.py:62-90`
-- Scoring penalties: `scripts/lib/score.py:149-153`
-- Normalization: `scripts/lib/normalize.py:49,99`
-
-### External References
-- OpenAI Responses API lacks native date filtering
-- Must rely on prompt engineering + post-processing

release-notes.md

@@ -1,75 +1,86 @@
 The AI world reinvents itself every month. This skill keeps you current.
 
-`/last30days` researches your topic across **Reddit, X, YouTube, TikTok, Instagram, Hacker News, Polymarket, and the web** from the last 30 days, finds what the community is actually upvoting, sharing, betting on, and saying on camera, and writes you a grounded narrative with real citations.
+`/last30days` researches your topic across Reddit, X, YouTube, TikTok, Instagram, Hacker News, Polymarket, GitHub, and 5+ more sources from the last 30 days, finds what the community is actually upvoting, sharing, betting on, and saying on camera, and writes you a grounded narrative with real citations.
 
-## v3 Community
+## v3 is the intelligent search release
 
-v3 was shaped by community contributors whose PRs and issues inspired core features. Their code wasn't merged directly (v3 was a ground-up rewrite), but their ideas drove what shipped. See [CONTRIBUTORS.md](CONTRIBUTORS.md) for the full list.
+v3 is a ground-up engine rewrite by [@j-sperling](https://github.com/j-sperling). The old engine searched keywords. The new engine understands your topic first, then searches the right people and communities.
 
-Thanks to @uppinote20, @zerone0x, @thinkun, @thomasmktong, @fanispoulinakisai-boop, @pejmanjohn, @zl190, and @hnshah.
+Type "OpenClaw" and v3 resolves @steipete, r/openclaw, r/ClaudeCode, and the right YouTube channels and TikTok hashtags before a single API call fires. Type "Peter Steinberger" and it resolves his X handle and GitHub profile, switches to person mode, and shows what he shipped this month at 85% merge rate across 22 PRs. None of that was on Google.
 
-## What's New in v2.9.1
+## Headline features
 
-**Auto-save to ~/Documents/Last30Days/.** Every run now saves the complete research briefing - synthesis, stats, and follow-up suggestions - as a topic-named `.md` file to your Documents folder. Build a personal research library without lifting a finger. Inspired by [@devin_explores](https://x.com/devin_explores) who was already doing this manually.
+### Intelligent pre-research
 
-## Three Headline Features in v2.9
+The killer feature. A new Python pre-research brain resolves X handles, GitHub repos, subreddits, TikTok hashtags, and YouTube channels before searching. Bidirectional: person to company, product to founder, name to GitHub profile. The right subreddits, the right handles, the right hashtags, all resolved before a single API call.
 
-**1. ScrapeCreators Reddit as default.** One `SCRAPECREATORS_API_KEY` now covers Reddit, TikTok, and Instagram - three sources, one key. No more `OPENAI_API_KEY` required for Reddit search. Faster, more reliable, and simpler to configure.
+### Best Takes
 
-**2. Smart subreddit discovery.** Relevance-weighted scoring replaces pure frequency count. Each candidate subreddit is scored by `frequency x recency x topic-word match`, and a `UTILITY_SUBS` blocklist filters noise subs like r/tipofmytongue. Search "Claude Code skills" and get r/ClaudeAI, r/ClaudeCode, r/openclaw - not generic programming subs.
+A second LLM judge scores every result for humor, wit, and virality alongside relevance. Every brief now ends with a Best Takes section surfacing the cleverest one-liners and most viral quotes. The Reddit and X people are funny, and the old engine buried their best stuff.
 
-**3. Top comments elevated.** The best comment on each Reddit thread now carries a 10% weight in engagement scoring and displays prominently with upvote counts. Reddit's value is in the comments - now the skill surfaces them.
+### Cross-source cluster merging
 
-Plus: **Instagram Reels** (v2.8), **Polymarket prediction markets** (v2.5), **YouTube transcripts** (v2.1), **bundled X search** - no external CLI needed.
+When the same story hits Reddit, X, and YouTube, v3 merges them into one cluster instead of three duplicates. Entity-based overlap detection catches matches even when the titles use different words.
 
-## Beta Test Results (v2.9)
+### Single-pass comparisons
 
-| Topic | Time | Threads | Discovered Subreddits |
-|-------|------|---------|----------------------|
-| Claude Code skills | 77.1s | 99 | r/ClaudeAI, r/ClaudeCode, r/openclaw |
-| Kanye West | 71.7s | 84 | r/hiphopheads, r/NFCWestMemeWar, r/Kanye |
-| Anthropic odds | 68.0s | 65 | r/Anthropic, r/ClaudeAI, r/OpenAI |
-| Best rap songs lately | 68.9s | 114 | r/BestofRedditorUpdates, r/rap, r/TeenageRapFans |
-| Nano Banana Pro | 66.6s | 99 | r/GeminiAI, r/nanobanana2pro, r/macbookpro |
+"X vs Y" used to run three serial passes (12+ minutes). v3 runs one pass with entity-aware subqueries for both sides at once. Same depth, 3 minutes.
 
-## What's New
+### GitHub person-mode and project-mode
 
-### Added
-- ScrapeCreators Reddit backend with keyword search and subreddit discovery
-- Smart subreddit discovery with relevance-weighted scoring
-- Utility subreddit blocklist (`UTILITY_SUBS`)
-- Top comment scoring (10% engagement weight) and prominent rendering
-- Comment excerpts increased to 400 chars, insights raised to 10
+When the topic is a person, the engine switches from keyword search to author-scoped queries. PR velocity, top repos by stars, release notes for what shipped this month, woven into the narrative alongside X posts and Reddit threads.
 
-### Changed
-- `primaryEnv` → `SCRAPECREATORS_API_KEY` (one key for Reddit, TikTok, Instagram)
-- Reddit engagement scoring: `0.55/0.40/0.05` → `0.50/0.35/0.05/0.10`
-- SKILL.md synthesis instructions emphasize quoting top comments
+When the topic is a project, it pulls live star counts, READMEs, releases, and top issues from the GitHub API. No stale blog posts.
 
-### Fixed
-- Utility sub noise in subreddit discovery
-- Reddit no longer requires `OPENAI_API_KEY`
+### ELI5 mode
 
-## New Contributors
+Say "eli5 on" after any research run. The synthesis rewrites in plain language. No jargon. Same data, same sources, same citations, just clearer. Say "eli5 off" to go back.
 
-- @JosephOIbrahim -- Windows Unicode fix ([#17](https://github.com/mvanhorn/last30days-skill/pull/17))
-- @levineam -- Model fallback for unverified orgs ([#16](https://github.com/mvanhorn/last30days-skill/pull/16))
-- @jonthebeef -- `--days=N` configurable lookback ([#18](https://github.com/mvanhorn/last30days-skill/pull/18))
+### 13+ sources
 
-## Credits
+v3 adds Threads, Pinterest, Perplexity, Bluesky, and Parallel AI grounding to the existing Reddit, X, YouTube, TikTok, Instagram, Hacker News, Polymarket, GitHub, and Web lineup. Perplexity Deep Research (`--deep-research`) gives you 50+ citation reports for serious investigation.
 
-- [@steipete](https://github.com/steipete) -- Bird CLI (vendored X search) and yt-dlp/summarize inspiration for YouTube transcripts
-- [@galligan](https://github.com/galligan) -- Marketplace plugin inspiration
-- [@hutchins](https://x.com/hutchins) -- Pushed for YouTube feature
+### Per-author cap and entity disambiguation
+
+Max 3 items per author prevents single-voice dominance. Synthesis trusts resolved handles over fuzzy keyword matches.
 
 ## Install
 
-```bash
-# Claude Code
-git clone https://github.com/mvanhorn/last30days-skill.git ~/.claude/skills/last30days
+Claude Code:
 
-# Codex CLI
-git clone https://github.com/mvanhorn/last30days-skill.git ~/.agents/skills/last30days
+```
+/plugin marketplace add mvanhorn/last30days-skill
 ```
 
-30 days of research. 30 seconds of work. Eight sources. Zero stale prompts.
+OpenClaw:
+
+```
+clawhub install last30days-official
+```
+
+OpenAI Codex CLI: run `codex` from a checkout of this repo and v3's skill at `.agents/skills/last30days/SKILL.md` will be discovered automatically. Or copy `SKILL.md` to `~/.agents/skills/last30days/SKILL.md` for a global install.
+
+Zero config. Reddit, Hacker News, Polymarket, and GitHub work immediately. Run it once and the setup wizard unlocks X, YouTube, TikTok, and more in 30 seconds.
+
+## v3 Community
+
+v3 was shaped by community contributors whose PRs and issues inspired core features. Their code wasn't merged directly (v3 was a ground-up rewrite), but their ideas drove what shipped.
+
+Thanks to @uppinote20, @zerone0x, @thinkun, @thomasmktong, @fanispoulinakisai-boop, @pejmanjohn, @zl190, and @hnshah. See [CONTRIBUTORS.md](CONTRIBUTORS.md) for the full list.
+
+Contributors who shaped the release itself:
+
+- @Jah-yee (#153) surfaced the need for a real Codex CLI integration, which shipped in #219
+- @Cody-Coyote (#204) reported the marketplace validation bug that needed fixing before v3 could ship cleanly
+- @dannyshmueli pushed for v3 and Codex family support publicly on X
+
+Full Added / Changed / Fixed detail lives in [CHANGELOG.md](CHANGELOG.md) under `[3.0.0]`.
+
+## Earlier contributors
+
+From the v1 and v2 lineage:
+
+- [@galligan](https://github.com/galligan) for marketplace plugin inspiration
+- [@hutchins](https://x.com/hutchins) for pushing the YouTube feature
+
+30 days of research. 30 seconds of work. Thirteen sources. Zero stale prompts.

scripts/build-skill.sh

@@ -0,0 +1,38 @@
+#!/usr/bin/env bash
+# build-skill.sh - package this repo as a claude.ai-upload-ready .skill file
+# Usage: bash scripts/build-skill.sh  (run from repo root)
+#
+# Produces dist/last30days.skill, a zip with a single top-level `last30days/`
+# directory containing SKILL.md and the scripts/ runtime. See
+# docs/plans/2026-04-14-001-fix-skill-upload-200-file-limit-plan.md.
+set -euo pipefail
+
+REPO_ROOT="$(cd "$(dirname "$0")/.." && pwd)"
+cd "$REPO_ROOT"
+
+if ! git diff --quiet || ! git diff --cached --quiet; then
+  echo "error: working tree is dirty; commit or stash before building" >&2
+  exit 1
+fi
+
+mkdir -p dist
+OUT="dist/last30days.skill"
+git archive --format=zip --prefix=last30days/ --output="$OUT" HEAD
+
+COUNT=$(unzip -l "$OUT" | tail -1 | awk '{print $2}')
+SIZE=$(du -h "$OUT" | cut -f1)
+
+if [ "$COUNT" -gt 200 ]; then
+  echo "error: $COUNT files in zip, claude.ai's cap is 200" >&2
+  echo "       check .gitattributes export-ignore entries" >&2
+  exit 1
+fi
+
+SKILL_MD_COUNT=$(unzip -l "$OUT" | grep -c "SKILL.md" || true)
+if [ "$SKILL_MD_COUNT" -ne 1 ]; then
+  echo "error: expected exactly one SKILL.md, found $SKILL_MD_COUNT" >&2
+  exit 1
+fi
+
+echo "built $OUT ($COUNT files, $SIZE)"
+echo "upload via the claude.ai skill UI"

scripts/last30days.py

@@ -33,6 +33,11 @@ def ensure_supported_python(version_info: tuple[int, int, int] | object | None =
 
 ensure_supported_python()
 
+if os.name == "nt":
+    for stream in (sys.stdout, sys.stderr):
+        if hasattr(stream, "reconfigure"):
+            stream.reconfigure(encoding="utf-8", errors="replace")
+
 SCRIPT_DIR = Path(__file__).parent.resolve()
 sys.path.insert(0, str(SCRIPT_DIR))
 
@@ -103,7 +108,7 @@ def save_output(report: schema.Report, emit: str, save_dir: str, suffix: str = "
         content = emit_output(report, emit)
     else:
         content = render.render_full(report)
-    out_path.write_text(content)
+    out_path.write_text(content, encoding="utf-8")
     return out_path
 
 
@@ -165,7 +170,14 @@ def build_parser() -> argparse.ArgumentParser:
     parser.add_argument("--tiktok-hashtags", help="Comma-separated TikTok hashtags without # (e.g., tella,screenrecording)")
     parser.add_argument("--tiktok-creators", help="Comma-separated TikTok creator handles (e.g., TellaHQ,taborplace)")
     parser.add_argument("--ig-creators", help="Comma-separated Instagram creator handles (e.g., tella.tv,laborstories)")
-    parser.add_argument("--lookback-days", type=int, default=30, help="Number of days to look back for research (default: 30, watchlist uses 90)")
+    parser.add_argument(
+        "--days",
+        "--lookback-days",
+        dest="lookback_days",
+        type=int,
+        default=30,
+        help="Number of days to look back for research (default: 30, watchlist uses 90)",
+    )
     parser.add_argument("--auto-resolve", action="store_true",
                         help="Use web search to discover subreddits/handles before planning (for platforms without WebSearch)")
     parser.add_argument("--github-user", help="GitHub username for person-mode search (e.g., steipete)")

scripts/lib/bird_x.py

@@ -177,6 +177,8 @@ def _run_bird_search(query: str, count: int, timeout: int) -> Dict[str, Any]:
             stdout=subprocess.PIPE,
             stderr=subprocess.PIPE,
             text=True,
+            encoding="utf-8",
+            errors="replace",
             preexec_fn=preexec,
             env=_subprocess_env(),
         )
@@ -336,6 +338,8 @@ def search_handles(
                 stdout=subprocess.PIPE,
                 stderr=subprocess.PIPE,
                 text=True,
+                encoding="utf-8",
+                errors="replace",
                 preexec_fn=preexec,
                 env=_subprocess_env(),
             )
@@ -460,7 +464,7 @@ def parse_bird_response(response: Dict[str, Any], query: str = "") -> List[Dict[
             "url": url,
             "author_handle": author_handle.lstrip("@"),
             "date": date,
-            "engagement": engagement,
+            "engagement": engagement if any(v is not None for v in engagement.values()) else None,
             "why_relevant": "",  # Bird doesn't provide relevance explanations
             "relevance": _compute_relevance(query, str(tweet.get("text", ""))) if query else 0.7,
         }

scripts/lib/env.py

@@ -264,7 +264,7 @@ def get_config() -> dict[str, Any]:
         ('XQUIK_API_KEY', None),
         ('FROM_BROWSER', None),
         ('SETUP_COMPLETE', None),
-        ('INCLUDE_SOURCES', None),
+        ('INCLUDE_SOURCES', ''),
     ]
 
     for key, default in keys:
@@ -441,6 +441,18 @@ def is_youtube_comments_available(config: dict[str, Any]) -> bool:
     return 'youtube_comments' in include
 
 
+def is_tiktok_comments_available(config: dict[str, Any]) -> bool:
+    """Check if TikTok comment enrichment is available.
+
+    Requires SCRAPECREATORS_API_KEY AND tiktok_comments in INCLUDE_SOURCES.
+    Mirrors the youtube_comments opt-in pattern.
+    """
+    if not config.get('SCRAPECREATORS_API_KEY'):
+        return False
+    include = _parse_include_sources(config)
+    return 'tiktok_comments' in include
+
+
 def is_youtube_sc_available(config: dict[str, Any]) -> bool:
     """Check if ScrapeCreators YouTube search fallback is available.
 
@@ -579,6 +591,8 @@ def get_x_source_status(config: dict[str, Any]) -> dict[str, Any]:
     """
     from . import bird_x
 
+    if config.get('AUTH_TOKEN') and config.get('CT0'):
+        bird_x.set_credentials(config.get('AUTH_TOKEN'), config.get('CT0'))
     bird_status = bird_x.get_bird_status()
     xai_available = bool(config.get('XAI_API_KEY'))
 

scripts/lib/github.py

@@ -17,7 +17,7 @@ import urllib.request
 from concurrent.futures import ThreadPoolExecutor, as_completed
 from typing import Any, Dict, List, Optional
 
-from . import log
+from . import dates, log
 from .query import extract_core_subject
 from .relevance import token_overlap_relevance
 
@@ -106,13 +106,14 @@ def _parse_repo_from_url(html_url: str) -> str:
 
 
 def _parse_date(iso_str: Optional[str]) -> Optional[str]:
-    """Extract YYYY-MM-DD from ISO 8601 datetime string."""
-    if not iso_str:
-        return None
-    try:
-        return iso_str[:10]
-    except (IndexError, TypeError):
-        return None
+    """Parse a GitHub ISO 8601 datetime string and return YYYY-MM-DD.
+
+    Returns None for non-date input. GitHub's API always emits ISO 8601
+    (e.g. "2026-02-26T16:00:00Z"), but we defer to dates.parse_date() so
+    garbage input gets rejected instead of silently sliced.
+    """
+    dt = dates.parse_date(iso_str)
+    return dt.strftime("%Y-%m-%d") if dt else None
 
 
 def _compute_relevance(

scripts/lib/http.py

@@ -38,6 +38,7 @@ def request(
     url: str,
     headers: Optional[Dict[str, str]] = None,
     json_data: Optional[Dict[str, Any]] = None,
+    params: Optional[Dict[str, Any]] = None,
     timeout: int = DEFAULT_TIMEOUT,
     retries: int = MAX_RETRIES,
     max_429_retries: int = MAX_429_RETRIES,
@@ -50,6 +51,8 @@ def request(
         url: Request URL
         headers: Optional headers dict
         json_data: Optional JSON body (for POST)
+        params: Optional query-string params. Values are stringified. None values
+            are dropped. If ``url`` already has a query string, ``params`` is appended.
         timeout: Request timeout in seconds
         retries: Number of retries on failure
         max_429_retries: Maximum 429 retries before giving up (separate cap)
@@ -64,6 +67,12 @@ def request(
     headers = headers or {}
     headers.setdefault("User-Agent", USER_AGENT)
 
+    if params:
+        filtered = {k: str(v) for k, v in params.items() if v is not None}
+        if filtered:
+            separator = "&" if ("?" in url) else "?"
+            url = f"{url}{separator}{urlencode(filtered)}"
+
     data = None
     if json_data is not None:
         data = json.dumps(json_data).encode('utf-8')
@@ -157,6 +166,14 @@ def post_raw(url: str, json_data: Dict[str, Any], headers: Optional[Dict[str, st
     return request("POST", url, headers=headers, json_data=json_data, raw=True, **kwargs)
 
 
+def scrapecreators_headers(token: str) -> Dict[str, str]:
+    """Build ScrapeCreators request headers (x-api-key + JSON content type)."""
+    return {
+        "x-api-key": token,
+        "Content-Type": "application/json",
+    }
+
+
 def get_reddit_json(path: str, timeout: int = DEFAULT_TIMEOUT, retries: int = MAX_RETRIES) -> Dict[str, Any]:
     """Fetch Reddit thread JSON.
 

scripts/lib/instagram.py

@@ -112,14 +112,6 @@ def _log(msg: str):
     log.source_log("Instagram", msg)
 
 
-def _sc_headers(token: str) -> Dict[str, str]:
-    """Build ScrapeCreators request headers."""
-    return {
-        "x-api-key": token,
-        "Content-Type": "application/json",
-    }
-
-
 def _parse_date(item: Dict[str, Any]) -> Optional[str]:
     """Parse date from ScrapeCreators Instagram item to YYYY-MM-DD.
 
@@ -249,7 +241,7 @@ def _user_reels(
             from urllib.parse import urlencode
             params = urlencode({"handle": handle})
             url = f"{reels_url}?{params}"
-            headers = _sc_headers(token)
+            headers = http.scrapecreators_headers(token)
             headers["User-Agent"] = http.USER_AGENT
             data = http.get(url, headers=headers, timeout=30, retries=2)
         except Exception as e:
@@ -260,7 +252,7 @@ def _user_reels(
             resp = _requests.get(
                 reels_url,
                 params={"handle": handle},
-                headers=_sc_headers(token),
+                headers=http.scrapecreators_headers(token),
                 timeout=30,
             )
             resp.raise_for_status()
@@ -307,7 +299,7 @@ def search_instagram(
             from urllib.parse import urlencode
             params = urlencode({"query": core_topic})
             url = f"{SCRAPECREATORS_BASE}/v2/instagram/reels/search?{params}"
-            headers = _sc_headers(token)
+            headers = http.scrapecreators_headers(token)
             headers["User-Agent"] = http.USER_AGENT
             data = http.get(url, headers=headers, timeout=30, retries=2)
         except Exception as e:
@@ -318,7 +310,7 @@ def search_instagram(
             resp = _requests.get(
                 f"{SCRAPECREATORS_BASE}/v2/instagram/reels/search",
                 params={"query": core_topic},
-                headers=_sc_headers(token),
+                headers=http.scrapecreators_headers(token),
                 timeout=30,
             )
             resp.raise_for_status()
@@ -403,7 +395,7 @@ def fetch_captions(
             resp = _requests.get(
                 f"{SCRAPECREATORS_BASE}/v2/instagram/media/transcript",
                 params={"url": url},
-                headers=_sc_headers(token),
+                headers=http.scrapecreators_headers(token),
                 timeout=15,
             )
             if resp.status_code == 200:

scripts/lib/normalize.py

@@ -69,6 +69,47 @@ def normalize_source_items(
     return filtered
 
 
+def _remap_comments(
+    raw: list[Any],
+    score_keys: tuple[str, ...],
+    excerpt_keys: tuple[str, ...],
+) -> list[dict[str, Any]]:
+    """Normalize comments from any source into the shared Reddit-compatible shape.
+
+    Downstream code (signals._top_comment_score, render._top_comments_list,
+    entity_extract, rerank) all expect `score` and `excerpt`. This helper maps
+    per-source field names (YT: likes/text, TikTok: digg_count/text) onto that
+    shape while preserving author/date/url passthrough.
+    """
+    out: list[dict[str, Any]] = []
+    for raw_c in raw:
+        if not isinstance(raw_c, dict):
+            continue
+        score = _first_present(raw_c, score_keys, default=0)
+        excerpt = _first_present(raw_c, excerpt_keys, default="")
+        try:
+            score_int = int(score or 0)
+        except (TypeError, ValueError):
+            score_int = 0
+        entry: dict[str, Any] = {
+            "score": score_int,
+            "excerpt": str(excerpt or "")[:400],
+            "author": str(raw_c.get("author") or ""),
+            "date": str(raw_c.get("date") or ""),
+        }
+        if raw_c.get("url"):
+            entry["url"] = str(raw_c["url"])
+        out.append(entry)
+    return out
+
+
+def _first_present(d: dict[str, Any], keys: tuple[str, ...], default: Any) -> Any:
+    for key in keys:
+        if key in d and d[key] not in (None, ""):
+            return d[key]
+    return default
+
+
 def _domain_from_url(url: str) -> str | None:
     if not url:
         return None
@@ -200,6 +241,11 @@ def _normalize_youtube(
     metadata: dict[str, Any] = {}
     if highlights:
         metadata["transcript_highlights"] = highlights
+    metadata["top_comments"] = _remap_comments(
+        item.get("top_comments") or [],
+        score_keys=("score", "likes"),
+        excerpt_keys=("excerpt", "text"),
+    )
     return _source_item(
         item_id=str(item.get("video_id") or item.get("id") or f"YT{index + 1}"),
         source=source,
@@ -242,7 +288,16 @@ def _normalize_shortform_video(
         relevance_hint=item.get("relevance", 0.5),
         why_relevant=str(item.get("why_relevant") or ""),
         snippet=caption,
-        metadata={"hashtags": item.get("hashtags") or []},
+        metadata={
+            "hashtags": item.get("hashtags") or [],
+            "top_comments": _remap_comments(
+                item.get("top_comments") or [],
+                # TikTok uses digg_count as the vote field; Instagram has no
+                # comment fetcher today so the key is harmlessly absent.
+                score_keys=("score", "digg_count", "likes"),
+                excerpt_keys=("excerpt", "text"),
+            ),
+        },
     )
 
 

scripts/lib/pinterest.py

@@ -49,14 +49,6 @@ def _log(msg: str):
     log.source_log("Pinterest", msg)
 
 
-def _sc_headers(token: str) -> Dict[str, str]:
-    """Build ScrapeCreators request headers."""
-    return {
-        "x-api-key": token,
-        "Content-Type": "application/json",
-    }
-
-
 def _parse_items(raw_items: List[Dict[str, Any]], core_topic: str) -> List[Dict[str, Any]]:
     """Parse raw Pinterest items into normalized dicts.
 
@@ -154,7 +146,7 @@ def search_pinterest(
             from urllib.parse import urlencode
             params = urlencode({"keyword": core_topic})
             url = f"{SCRAPECREATORS_BASE}/search?{params}"
-            headers = _sc_headers(token)
+            headers = http.scrapecreators_headers(token)
             headers["User-Agent"] = http.USER_AGENT
             data = http.get(url, headers=headers, timeout=30, retries=2)
         except Exception as e:
@@ -165,7 +157,7 @@ def search_pinterest(
             resp = _requests.get(
                 f"{SCRAPECREATORS_BASE}/search",
                 params={"keyword": core_topic},
-                headers=_sc_headers(token),
+                headers=http.scrapecreators_headers(token),
                 timeout=30,
             )
             resp.raise_for_status()

scripts/lib/pipeline.py

@@ -887,7 +887,11 @@ def _retrieve_stream(
             hashtags=tiktok_hashtags,
             creators=tiktok_creators,
         )
-        return tiktok.parse_tiktok_response(result), {}
+        items = tiktok.parse_tiktok_response(result)
+        if items and env.is_tiktok_comments_available(config):
+            sc_token = config.get("SCRAPECREATORS_API_KEY", "")
+            tiktok.enrich_with_comments(items, token=sc_token)
+        return items, {}
     if source == "instagram":
         # Use raw_topic so expand_instagram_queries() generates diverse variants
         # from the original user topic, not the planner's narrowed search_query.

scripts/lib/reddit.py

@@ -12,15 +12,8 @@ import sys
 import time
 from collections import Counter
 from concurrent.futures import ThreadPoolExecutor, as_completed, wait as futures_wait
-from datetime import datetime, timezone
 from typing import Any, Dict, List, Optional, Set
 
-try:
-    import requests as _requests
-except ImportError:
-    _requests = None
-
-
 def _first_of(*values, default=None):
     """Return first value that is not None."""
     for v in values:
@@ -28,7 +21,7 @@ def _first_of(*values, default=None):
             return v
     return default
 
-from . import http, log
+from . import dates, http, log
 
 SCRAPECREATORS_BASE = "https://api.scrapecreators.com/v1/reddit"
 
@@ -76,14 +69,6 @@ def _log(msg: str):
     log.source_log("Reddit", msg, tty_only=False)
 
 
-def _sc_headers(token: str) -> Dict[str, str]:
-    """Build ScrapeCreators request headers."""
-    return {
-        "x-api-key": token,
-        "Content-Type": "application/json",
-    }
-
-
 def _extract_core_subject(topic: str) -> str:
     """Extract core subject from verbose query.
 
@@ -212,27 +197,16 @@ def _parse_date(value) -> Optional[str]:
 
     Global search returns ``created_at`` as an ISO string
     (e.g. "2018-05-03T01:09:17.620000+0000"); subreddit search returns
-    ``created_utc`` as a Unix timestamp.  Handle both.
+    ``created_utc`` as a Unix timestamp. dates.parse_date() handles both,
+    plus edge cases like Z suffix and +0000 (no colon) offset.
+
+    Falsy inputs (None, "", 0) return None, matching the original behavior
+    where a Unix timestamp of 0 meant "no date" rather than epoch 0.
     """
     if not value:
         return None
-    # ISO-8601 string (contains 'T' or '-')
-    if isinstance(value, str) and ("T" in value or "-" in value):
-        try:
-            # Strip trailing offset variations (+0000, Z) for fromisoformat
-            clean = value.replace("Z", "+00:00")
-            if clean.endswith("+0000"):
-                clean = clean[:-5] + "+00:00"
-            dt = datetime.fromisoformat(clean)
-            return dt.strftime("%Y-%m-%d")
-        except (ValueError, TypeError):
-            pass
-    # Unix timestamp (int or float or numeric string)
-    try:
-        dt = datetime.fromtimestamp(float(value), tz=timezone.utc)
-        return dt.strftime("%Y-%m-%d")
-    except (ValueError, TypeError, OSError):
-        return None
+    dt = dates.parse_date(str(value))
+    return dt.strftime("%Y-%m-%d") if dt else None
 
 
 def _extract_subreddit_name(value: Any) -> str:
@@ -350,39 +324,18 @@ def _global_search(
     Returns:
         List of post dicts
     """
-    if not _requests:
-        _log("requests library not installed, falling back to urllib")
-        # Use stdlib http module as fallback
-        try:
-            from urllib.parse import urlencode
-            params = urlencode({"query": query, "sort": sort, "timeframe": timeframe})
-            url = f"{SCRAPECREATORS_BASE}/search?{params}"
-            headers = _sc_headers(token)
-            headers["User-Agent"] = http.USER_AGENT
-            data = http.get(url, headers=headers, timeout=30, retries=2)
-            return data.get("posts", data.get("data", []))
-        except http.HTTPError as e:
-            if e.status_code and e.status_code in (401, 403):
-                raise
-            _log(f"Global search error (urllib): {e}")
-            return []
-        except Exception as e:
-            _log(f"Global search error (urllib): {e}")
-            return []
-
     try:
-        resp = _requests.get(
+        data = http.get(
             f"{SCRAPECREATORS_BASE}/search",
+            headers=http.scrapecreators_headers(token),
             params={"query": query, "sort": sort, "timeframe": timeframe},
-            headers=_sc_headers(token),
             timeout=30,
+            retries=2,
         )
-        resp.raise_for_status()
-        data = resp.json()
         return data.get("posts", data.get("data", []))
-    except _requests.exceptions.HTTPError as e:
-        if e.response is not None and e.response.status_code in (401, 403):
-            raise http.HTTPError(f"Auth error: {e}", e.response.status_code)
+    except http.HTTPError as e:
+        if e.status_code in (401, 403):
+            raise
         _log(f"Global search error: {e}")
         return []
     except Exception as e:
@@ -409,36 +362,19 @@ def _subreddit_search(
     Returns:
         List of post dicts
     """
-    if not _requests:
-        try:
-            from urllib.parse import urlencode
-            params = urlencode({
-                "subreddit": subreddit, "query": query,
-                "sort": sort, "timeframe": timeframe,
-            })
-            url = f"{SCRAPECREATORS_BASE}/subreddit/search?{params}"
-            headers = _sc_headers(token)
-            headers["User-Agent"] = http.USER_AGENT
-            data = http.get(url, headers=headers, timeout=30, retries=2)
-            return data.get("posts", data.get("data", []))
-        except Exception as e:
-            _log(f"Subreddit search error (urllib) for r/{subreddit}: {e}")
-            return []
-
     try:
-        resp = _requests.get(
+        data = http.get(
             f"{SCRAPECREATORS_BASE}/subreddit/search",
+            headers=http.scrapecreators_headers(token),
             params={
                 "subreddit": subreddit,
                 "query": query,
                 "sort": sort,
                 "timeframe": timeframe,
             },
-            headers=_sc_headers(token),
             timeout=30,
+            retries=2,
         )
-        resp.raise_for_status()
-        data = resp.json()
         return data.get("posts", data.get("data", []))
     except Exception as e:
         _log(f"Subreddit search error for r/{subreddit}: {e}")
@@ -458,28 +394,14 @@ def fetch_post_comments(
     Returns:
         List of comment dicts with score, author, body, etc.
     """
-    if not _requests:
-        try:
-            from urllib.parse import urlencode
-            params = urlencode({"url": url})
-            api_url = f"{SCRAPECREATORS_BASE}/post/comments?{params}"
-            headers = _sc_headers(token)
-            headers["User-Agent"] = http.USER_AGENT
-            data = http.get(api_url, headers=headers, timeout=30, retries=2)
-            return data.get("comments", data.get("data", []))
-        except Exception as e:
-            _log(f"Comment fetch error (urllib): {e}")
-            return []
-
     try:
-        resp = _requests.get(
+        data = http.get(
             f"{SCRAPECREATORS_BASE}/post/comments",
+            headers=http.scrapecreators_headers(token),
             params={"url": url},
-            headers=_sc_headers(token),
             timeout=30,
+            retries=2,
         )
-        resp.raise_for_status()
-        data = resp.json()
         return data.get("comments", data.get("data", []))
     except Exception as e:
         _log(f"Comment fetch error: {e}")

scripts/lib/render.py

@@ -152,13 +152,14 @@ def render_full(report: schema.Report) -> str:
                 lines.append(f"  *{item.container}*")
             if item.snippet:
                 lines.append(f"  {item.snippet[:500]}")
-            # Top comments for Reddit
+            # Top comments for Reddit, YouTube, TikTok, HackerNews.
             top_comments = item.metadata.get("top_comments", [])
             if top_comments and isinstance(top_comments[0], dict):
+                vote_label = _vote_label_for(item.source)
                 for tc in top_comments[:3]:
                     excerpt = tc.get("excerpt", tc.get("text", ""))[:200]
                     tc_score = tc.get("score", "")
-                    lines.append(f"  Top comment ({tc_score} upvotes): {excerpt}")
+                    lines.append(f"  Top comment ({tc_score} {vote_label}): {excerpt}")
             # Comment insights for Reddit
             insights = item.metadata.get("comment_insights", [])
             if insights:
@@ -276,7 +277,8 @@ def _render_candidate(candidate: schema.Candidate, prefix: str) -> list[str]:
     for tc in _top_comments_list(primary):
         excerpt = tc.get("excerpt") or tc.get("text") or ""
         score = tc.get("score", "")
-        lines.append(f"   - Comment ({score} upvotes): {_truncate(excerpt.strip(), 240)}")
+        vote_label = _vote_label_for(primary.source) if primary else "upvotes"
+        lines.append(f"   - Comment ({score} {vote_label}): {_truncate(excerpt.strip(), 240)}")
     insight = _comment_insight(primary)
     if insight:
         lines.append(f"   - Insight: {_truncate(insight, 220)}")
@@ -582,13 +584,42 @@ def _format_explanation(candidate: schema.Candidate) -> str | None:
     return candidate.explanation
 
 
-def _top_comments_list(item: schema.SourceItem | None, limit: int = 3, min_score: int = 10) -> list[dict]:
-    """Return up to `limit` top comments with score >= min_score."""
+# Per-source minimum vote counts for showing a top comment in compact emit.
+# Reddit upvotes, YouTube likes, and TikTok likes are not comparable units —
+# 10 upvotes on Reddit signals genuine community interest, 10 likes on a
+# viral TikTok is noise. First-pass values; tune after live observation.
+_TOP_COMMENT_MIN_SCORE: dict[str, int] = {
+    "reddit": 10,
+    "youtube": 50,
+    "tiktok": 500,
+    "hackernews": 5,
+}
+_TOP_COMMENT_VOTE_LABEL: dict[str, str] = {
+    "reddit": "upvotes",
+    "hackernews": "points",
+    "youtube": "likes",
+    "tiktok": "likes",
+}
+
+
+def _vote_label_for(source: str) -> str:
+    return _TOP_COMMENT_VOTE_LABEL.get(source, "votes")
+
+
+def _top_comments_list(item: schema.SourceItem | None, limit: int = 3, min_score: int | None = None) -> list[dict]:
+    """Return up to `limit` top comments with score at or above the source's minimum.
+
+    If `min_score` is passed explicitly it overrides the per-source default;
+    otherwise the source-keyed map is consulted, with an effective default of 0
+    (always show) for unknown sources so new sources don't get silently hidden.
+    """
     if not item:
         return []
     comments = item.metadata.get("top_comments") or []
     if not comments or not isinstance(comments[0], dict):
         return []
+    if min_score is None:
+        min_score = _TOP_COMMENT_MIN_SCORE.get(item.source, 0)
     return [c for c in comments if (c.get("score") or 0) >= min_score][:limit]
 
 

scripts/lib/signals.py

@@ -82,12 +82,11 @@ def _top_comment_score(item: schema.SourceItem) -> float:
 
 
 # Per-source engagement weights: list of (field_name, weight) tuples.
-# Reddit uses a custom function because upvote_ratio and top_comment_score
-# are not simple log1p fields.
+# Reddit, YouTube, and TikTok use custom functions because they include
+# a dedicated 10% top-comment-score slot (see _reddit_engagement,
+# _youtube_engagement, _tiktok_engagement).
 ENGAGEMENT_WEIGHTS: dict[str, list[tuple[str, float]]] = {
     "x":            [("likes", 0.55), ("reposts", 0.25), ("replies", 0.15), ("quotes", 0.05)],
-    "youtube":      [("views", 0.50), ("likes", 0.35), ("comments", 0.15)],
-    "tiktok":       [("views", 0.50), ("likes", 0.30), ("comments", 0.20)],
     "instagram":    [("views", 0.50), ("likes", 0.30), ("comments", 0.20)],
     "hackernews":   [("points", 0.55), ("comments", 0.45)],
     "bluesky":      [("likes", 0.40), ("reposts", 0.30), ("replies", 0.20), ("quotes", 0.10)],
@@ -113,6 +112,29 @@ def _reddit_engagement(item: schema.SourceItem) -> float | None:
     return (0.50 * score) + (0.35 * comments) + (0.05 * (ratio * 10.0)) + (0.10 * top_comment)
 
 
+def _youtube_engagement(item: schema.SourceItem) -> float | None:
+    views = log1p_safe(item.engagement.get("views"))
+    likes = log1p_safe(item.engagement.get("likes"))
+    comments = log1p_safe(item.engagement.get("comments"))
+    top_comment = _top_comment_score(item)
+    if not any([views, likes, comments, top_comment]):
+        return None
+    # Mirrors Reddit: carve out 10% for top-comment signal, keep view-weight
+    # dominant. Without comments, the pre-change weights (0.50/0.35/0.15)
+    # still govern relative ordering.
+    return (0.45 * views) + (0.32 * likes) + (0.13 * comments) + (0.10 * top_comment)
+
+
+def _tiktok_engagement(item: schema.SourceItem) -> float | None:
+    views = log1p_safe(item.engagement.get("views"))
+    likes = log1p_safe(item.engagement.get("likes"))
+    comments = log1p_safe(item.engagement.get("comments"))
+    top_comment = _top_comment_score(item)
+    if not any([views, likes, comments, top_comment]):
+        return None
+    return (0.45 * views) + (0.27 * likes) + (0.18 * comments) + (0.10 * top_comment)
+
+
 def _generic_engagement(item: schema.SourceItem) -> float | None:
     if not item.engagement:
         return None
@@ -125,6 +147,10 @@ def _generic_engagement(item: schema.SourceItem) -> float | None:
 def engagement_raw(item: schema.SourceItem) -> float | None:
     if item.source == "reddit":
         return _reddit_engagement(item)
+    if item.source == "youtube":
+        return _youtube_engagement(item)
+    if item.source == "tiktok":
+        return _tiktok_engagement(item)
     weights = ENGAGEMENT_WEIGHTS.get(item.source)
     if weights:
         return _weighted_engagement(item, weights)

scripts/lib/threads.py

@@ -9,10 +9,9 @@ API docs: https://scrapecreators.com/docs
 
 import math
 import re
-from datetime import datetime, timezone
 from typing import Any, Dict, List, Optional
 
-from . import http, log
+from . import dates, http, log
 from .relevance import token_overlap_relevance as _compute_relevance
 
 SCRAPECREATORS_BASE = "https://api.scrapecreators.com/v1/threads"
@@ -29,14 +28,6 @@ def _log(msg: str):
     log.source_log("Threads", msg)
 
 
-def _sc_headers(token: str) -> Dict[str, str]:
-    """Build ScrapeCreators request headers."""
-    return {
-        "x-api-key": token,
-        "Content-Type": "application/json",
-    }
-
-
 def _extract_core_subject(topic: str) -> str:
     """Extract core subject from verbose query for Threads search."""
     from .query import extract_core_subject
@@ -52,29 +43,17 @@ def _extract_core_subject(topic: str) -> str:
 def _parse_date(item: Dict[str, Any]) -> Optional[str]:
     """Parse date from Threads item to YYYY-MM-DD.
 
-    Tries common timestamp fields: taken_at (unix), created_at (ISO),
-    and falls back to any date-like string field.
+    Tries common timestamp fields in order: taken_at and create_time
+    (unix timestamps in Meta APIs), then created_at, published_at, and
+    date (ISO 8601 strings). dates.parse_date() handles both.
     """
-    # Unix timestamp (taken_at is common in Meta APIs)
-    for key in ("taken_at", "create_time"):
-        ts = item.get(key)
-        if ts:
-            try:
-                from . import dates
-                return dates.timestamp_to_date(int(ts))
-            except (ValueError, TypeError):
-                pass
-
-    # ISO 8601 string
-    for key in ("created_at", "published_at", "date"):
+    for key in ("taken_at", "create_time", "created_at", "published_at", "date"):
         val = item.get(key)
-        if val and isinstance(val, str):
-            try:
-                dt = datetime.fromisoformat(val.replace("Z", "+00:00"))
-                return dt.strftime("%Y-%m-%d")
-            except (ValueError, TypeError):
-                pass
-
+        if val is None:
+            continue
+        dt = dates.parse_date(str(val))
+        if dt:
+            return dt.strftime("%Y-%m-%d")
     return None
 
 
@@ -183,7 +162,7 @@ def search_threads(
             from urllib.parse import urlencode
             params = urlencode({"keyword": core_topic})
             url = f"{SCRAPECREATORS_BASE}/search?{params}"
-            headers = _sc_headers(token)
+            headers = http.scrapecreators_headers(token)
             headers["User-Agent"] = http.USER_AGENT
             data = http.get(url, headers=headers, timeout=30, retries=2)
         except Exception as e:
@@ -194,7 +173,7 @@ def search_threads(
             resp = _requests.get(
                 f"{SCRAPECREATORS_BASE}/search",
                 params={"keyword": core_topic},
-                headers=_sc_headers(token),
+                headers=http.scrapecreators_headers(token),
                 timeout=30,
             )
             resp.raise_for_status()

scripts/lib/tiktok.py

@@ -109,14 +109,6 @@ def _log(msg: str):
     log.source_log("TikTok", msg)
 
 
-def _sc_headers(token: str) -> Dict[str, str]:
-    """Build ScrapeCreators request headers."""
-    return {
-        "x-api-key": token,
-        "Content-Type": "application/json",
-    }
-
-
 def _parse_date(item: Dict[str, Any]) -> Optional[str]:
     """Parse date from ScrapeCreators TikTok item to YYYY-MM-DD."""
     ts = item.get("create_time")
@@ -227,7 +219,7 @@ def _hashtag_search(
             from urllib.parse import urlencode
             params = urlencode({"hashtag": hashtag})
             url = f"{SCRAPECREATORS_BASE}/search/hashtag?{params}"
-            headers = _sc_headers(token)
+            headers = http.scrapecreators_headers(token)
             headers["User-Agent"] = http.USER_AGENT
             data = http.get(url, headers=headers, timeout=30, retries=2)
         except Exception as e:
@@ -238,7 +230,7 @@ def _hashtag_search(
             resp = _requests.get(
                 f"{SCRAPECREATORS_BASE}/search/hashtag",
                 params={"hashtag": hashtag},
-                headers=_sc_headers(token),
+                headers=http.scrapecreators_headers(token),
                 timeout=30,
             )
             resp.raise_for_status()
@@ -274,7 +266,7 @@ def _profile_videos(
             from urllib.parse import urlencode
             params = urlencode({"handle": handle, "sort_by": "latest"})
             url = f"{profile_url}?{params}"
-            headers = _sc_headers(token)
+            headers = http.scrapecreators_headers(token)
             headers["User-Agent"] = http.USER_AGENT
             data = http.get(url, headers=headers, timeout=30, retries=2)
         except Exception as e:
@@ -285,7 +277,7 @@ def _profile_videos(
             resp = _requests.get(
                 profile_url,
                 params={"handle": handle, "sort_by": "latest"},
-                headers=_sc_headers(token),
+                headers=http.scrapecreators_headers(token),
                 timeout=30,
             )
             resp.raise_for_status()
@@ -332,7 +324,7 @@ def search_tiktok(
             from urllib.parse import urlencode
             params = urlencode({"query": core_topic, "sort_by": "relevance"})
             url = f"{SCRAPECREATORS_BASE}/search/keyword?{params}"
-            headers = _sc_headers(token)
+            headers = http.scrapecreators_headers(token)
             headers["User-Agent"] = http.USER_AGENT
             data = http.get(url, headers=headers, timeout=30, retries=2)
         except Exception as e:
@@ -343,7 +335,7 @@ def search_tiktok(
             resp = _requests.get(
                 f"{SCRAPECREATORS_BASE}/search/keyword",
                 params={"query": core_topic, "sort_by": "relevance"},
-                headers=_sc_headers(token),
+                headers=http.scrapecreators_headers(token),
                 timeout=30,
             )
             resp.raise_for_status()
@@ -433,7 +425,7 @@ def fetch_captions(
             resp = _requests.get(
                 f"{SCRAPECREATORS_BASE}/video/transcript",
                 params={"url": url},
-                headers=_sc_headers(token),
+                headers=http.scrapecreators_headers(token),
                 timeout=15,
             )
             if resp.status_code == 200:
@@ -547,3 +539,137 @@ def parse_tiktok_response(response: Dict[str, Any]) -> List[Dict[str, Any]]:
         List of item dicts ready for normalization.
     """
     return response.get("items", [])
+
+
+def _tiktok_total_engagement(item: Dict[str, Any]) -> int:
+    """Total engagement for ranking which posts deserve comment enrichment."""
+    eng = item.get("engagement", {})
+    return (eng.get("views", 0) or 0) + (eng.get("likes", 0) or 0) + (eng.get("comments", 0) or 0)
+
+
+def enrich_with_comments(
+    items: List[Dict[str, Any]],
+    token: str,
+    max_posts: int = 3,
+    max_comments: int = 5,
+) -> List[Dict[str, Any]]:
+    """Enrich top TikTok posts with comment data from ScrapeCreators.
+
+    For the top N posts by engagement, fetches comments via the SC API
+    and attaches them as a ``top_comments`` field on each item. Mirrors
+    youtube_yt.enrich_with_comments.
+
+    Args:
+        items: TikTok items from search_tiktok()
+        token: ScrapeCreators API key
+        max_posts: How many posts to enrich with comments
+        max_comments: Max comments to keep per post
+
+    Returns:
+        Items list (mutated in place) with top_comments added to enriched items.
+    """
+    if not items or not token or max_posts <= 0:
+        return items
+
+    ranked = sorted(items, key=_tiktok_total_engagement, reverse=True)
+    top_items = ranked[:max_posts]
+    _log(f"Enriching comments for {len(top_items)} TikTok posts")
+
+    from concurrent.futures import ThreadPoolExecutor, as_completed
+
+    def _enrich_one(item: dict) -> bool:
+        post_url = item.get("url", "")
+        if not post_url:
+            return False
+        try:
+            comments = _fetch_post_comments(post_url, token, max_comments)
+            if comments:
+                item["top_comments"] = comments
+                return True
+        except Exception as exc:
+            _log(f"Comment enrichment failed for {post_url}: {exc}")
+        return False
+
+    enriched_count = 0
+    with ThreadPoolExecutor(max_workers=min(4, len(top_items))) as executor:
+        futures = {executor.submit(_enrich_one, item): item for item in top_items}
+        for future in as_completed(futures):
+            if future.result():
+                enriched_count += 1
+
+    _log(f"Enriched {enriched_count}/{len(top_items)} posts with comments")
+    return items
+
+
+def _fetch_post_comments(
+    post_url: str,
+    token: str,
+    max_comments: int = 5,
+) -> List[Dict[str, Any]]:
+    """Fetch comments for a single TikTok post via ScrapeCreators.
+
+    SC endpoint: GET /v1/tiktok/video/comments?url=<video_url>
+    Response shape: { comments: [{text, user.nickname, digg_count, create_time, ...}], cursor, total }
+
+    Args:
+        post_url: Canonical TikTok post URL (share_url form works)
+        token: ScrapeCreators API key
+        max_comments: Maximum comments to return
+
+    Returns:
+        List of comment dicts with author, text, digg_count (likes), date.
+        Empty list on any error — comment failures never crash the pipeline.
+    """
+    if not _requests:
+        try:
+            from urllib.parse import urlencode
+            params = urlencode({"url": post_url, "trim": "true"})
+            url = f"{SCRAPECREATORS_BASE}/video/comments?{params}"
+            headers = http.scrapecreators_headers(token)
+            headers["User-Agent"] = http.USER_AGENT
+            data = http.get(url, headers=headers, timeout=30, retries=2)
+        except Exception as exc:
+            _log(f"Comment fetch error (urllib) for {post_url}: {exc}")
+            return []
+    else:
+        try:
+            resp = _requests.get(
+                f"{SCRAPECREATORS_BASE}/video/comments",
+                params={"url": post_url, "trim": "true"},
+                headers=http.scrapecreators_headers(token),
+                timeout=30,
+            )
+            resp.raise_for_status()
+            data = resp.json()
+        except Exception as exc:
+            _log(f"Comment fetch error for {post_url}: {exc}")
+            return []
+
+    raw_comments = data.get("comments") or data.get("data") or []
+    # Sort by digg_count desc so normalize sees the highest-signal first.
+    raw_comments = sorted(
+        raw_comments,
+        key=lambda c: c.get("digg_count", 0) or 0,
+        reverse=True,
+    )
+    out: List[Dict[str, Any]] = []
+    for c in raw_comments[:max_comments]:
+        text = c.get("text") or ""
+        if not text:
+            continue
+        user = c.get("user") if isinstance(c.get("user"), dict) else {}
+        author = user.get("nickname") or user.get("unique_id") or ""
+        create_time = c.get("create_time")
+        date_str = ""
+        if create_time:
+            try:
+                date_str = dates.timestamp_to_date(int(create_time)) or ""
+            except (ValueError, TypeError):
+                date_str = ""
+        out.append({
+            "author": author,
+            "text": text[:400],
+            "digg_count": c.get("digg_count", 0) or 0,
+            "date": date_str,
+        })
+    return out

scripts/lib/vendor/bird-search/bird-search.mjs

@@ -18,117 +18,130 @@ const SearchClient = withSearch(TwitterClientBase);
 
 const args = process.argv.slice(2);
 
-// --check: verify that credentials can be resolved
-if (args.includes('--check')) {
+function writeStdout(text) {
+  if (text) process.stdout.write(text);
+}
+
+function writeStderr(text) {
+  if (text) process.stderr.write(text);
+}
+
+async function main() {
+  // --check: verify that credentials can be resolved
+  if (args.includes('--check')) {
+    try {
+      const { cookies, warnings } = await resolveCredentials({});
+      if (cookies.authToken && cookies.ct0) {
+        writeStdout(JSON.stringify({ authenticated: true, source: cookies.source }));
+        return 0;
+      }
+      writeStdout(JSON.stringify({ authenticated: false, warnings }));
+      return 1;
+    } catch (err) {
+      writeStdout(JSON.stringify({ authenticated: false, error: err.message }));
+      return 1;
+    }
+  }
+
+  // --whoami: check auth and output source
+  if (args.includes('--whoami')) {
+    try {
+      const { cookies } = await resolveCredentials({});
+      if (cookies.authToken && cookies.ct0) {
+        writeStdout(cookies.source || 'authenticated');
+        return 0;
+      }
+      writeStderr('Not authenticated\n');
+      return 1;
+    } catch (err) {
+      writeStderr(`Auth check failed: ${err.message}\n`);
+      return 1;
+    }
+  }
+
+  // Parse search args
+  let query = null;
+  let count = 20;
+  let jsonOutput = false;
+
+  for (let i = 0; i < args.length; i++) {
+    if (args[i] === '--count' && args[i + 1]) {
+      count = parseInt(args[i + 1], 10);
+      i++;
+    } else if (args[i] === '-n' && args[i + 1]) {
+      count = parseInt(args[i + 1], 10);
+      i++;
+    } else if (args[i] === '--json') {
+      jsonOutput = true;
+    } else if (!args[i].startsWith('-')) {
+      query = args[i];
+    }
+  }
+
+  if (!query) {
+    writeStderr('Usage: node bird-search.mjs <query> [--count N] [--json]\n');
+    return 1;
+  }
+
   try {
+    // Resolve credentials (env vars, then browser cookies)
     const { cookies, warnings } = await resolveCredentials({});
-    if (cookies.authToken && cookies.ct0) {
-      process.stdout.write(JSON.stringify({ authenticated: true, source: cookies.source }));
-      process.exit(0);
-    } else {
-      process.stdout.write(JSON.stringify({ authenticated: false, warnings }));
-      process.exit(1);
+
+    if (!cookies.authToken || !cookies.ct0) {
+      const msg = warnings.length > 0 ? warnings.join('; ') : 'No Twitter credentials found';
+      if (jsonOutput) {
+        writeStdout(JSON.stringify({ error: msg, items: [] }));
+      } else {
+        writeStderr(`Error: ${msg}\n`);
+      }
+      return 1;
     }
-  } catch (err) {
-    process.stdout.write(JSON.stringify({ authenticated: false, error: err.message }));
-    process.exit(1);
-  }
-}
 
-// --whoami: check auth and output source
-if (args.includes('--whoami')) {
-  try {
-    const { cookies } = await resolveCredentials({});
-    if (cookies.authToken && cookies.ct0) {
-      process.stdout.write(cookies.source || 'authenticated');
-      process.exit(0);
-    } else {
-      process.stderr.write('Not authenticated\n');
-      process.exit(1);
+    const client = new SearchClient({
+      cookies: {
+        authToken: cookies.authToken,
+        ct0: cookies.ct0,
+        cookieHeader: cookies.cookieHeader,
+      },
+      timeoutMs: 30000,
+    });
+
+    const result = await client.search(query, count);
+
+    if (!result.success) {
+      if (jsonOutput) {
+        writeStdout(JSON.stringify({ error: result.error, items: [] }));
+      } else {
+        writeStderr(`Search failed: ${result.error}\n`);
+      }
+      return 1;
     }
+
+    const tweets = result.tweets || [];
+    if (jsonOutput) {
+      writeStdout(JSON.stringify(tweets));
+    } else {
+      for (const tweet of tweets) {
+        const author = tweet.author?.username || 'unknown';
+        writeStdout(`@${author}: ${tweet.text?.slice(0, 200)}\n\n`);
+      }
+    }
+
+    return 0;
   } catch (err) {
-    process.stderr.write(`Auth check failed: ${err.message}\n`);
-    process.exit(1);
+    if (jsonOutput) {
+      writeStdout(JSON.stringify({ error: err.message, items: [] }));
+    } else {
+      writeStderr(`Error: ${err.message}\n`);
+    }
+    return 1;
   }
 }
 
-// Parse search args
-let query = null;
-let count = 20;
-let jsonOutput = false;
-
-for (let i = 0; i < args.length; i++) {
-  if (args[i] === '--count' && args[i + 1]) {
-    count = parseInt(args[i + 1], 10);
-    i++;
-  } else if (args[i] === '-n' && args[i + 1]) {
-    count = parseInt(args[i + 1], 10);
-    i++;
-  } else if (args[i] === '--json') {
-    jsonOutput = true;
-  } else if (!args[i].startsWith('-')) {
-    query = args[i];
-  }
-}
-
-if (!query) {
-  process.stderr.write('Usage: node bird-search.mjs <query> [--count N] [--json]\n');
-  process.exit(1);
-}
-
 try {
-  // Resolve credentials (env vars, then browser cookies)
-  const { cookies, warnings } = await resolveCredentials({});
-
-  if (!cookies.authToken || !cookies.ct0) {
-    const msg = warnings.length > 0 ? warnings.join('; ') : 'No Twitter credentials found';
-    if (jsonOutput) {
-      process.stdout.write(JSON.stringify({ error: msg, items: [] }));
-    } else {
-      process.stderr.write(`Error: ${msg}\n`);
-    }
-    process.exit(1);
-  }
-
-  // Create search client
-  const client = new SearchClient({
-    cookies: {
-      authToken: cookies.authToken,
-      ct0: cookies.ct0,
-      cookieHeader: cookies.cookieHeader,
-    },
-    timeoutMs: 30000,
-  });
-
-  // Run search
-  const result = await client.search(query, count);
-
-  if (!result.success) {
-    if (jsonOutput) {
-      process.stdout.write(JSON.stringify({ error: result.error, items: [] }));
-    } else {
-      process.stderr.write(`Search failed: ${result.error}\n`);
-    }
-    process.exit(1);
-  }
-
-  // Output results
-  const tweets = result.tweets || [];
-  if (jsonOutput) {
-    process.stdout.write(JSON.stringify(tweets));
-  } else {
-    for (const tweet of tweets) {
-      const author = tweet.author?.username || 'unknown';
-      process.stdout.write(`@${author}: ${tweet.text?.slice(0, 200)}\n\n`);
-    }
-  }
-
-  process.exit(0);
+  const code = await main();
+  process.exitCode = Number.isInteger(code) ? code : 1;
 } catch (err) {
-  if (jsonOutput) {
-    process.stdout.write(JSON.stringify({ error: err.message, items: [] }));
-  } else {
-    process.stderr.write(`Error: ${err.message}\n`);
-  }
-  process.exit(1);
+  writeStderr(`Fatal error: ${err?.message || err}\n`);
+  process.exitCode = 1;
 }

scripts/lib/youtube_yt.py

@@ -655,14 +655,6 @@ except ImportError:
     _requests = None
 
 
-def _sc_headers(token: str) -> Dict[str, str]:
-    """Build ScrapeCreators request headers."""
-    return {
-        "x-api-key": token,
-        "Content-Type": "application/json",
-    }
-
-
 def _total_engagement(item: Dict[str, Any]) -> int:
     """Combined engagement score for ranking which videos to enrich."""
     eng = item.get("engagement", {})
@@ -745,7 +737,7 @@ def _fetch_video_comments(
             from urllib.parse import urlencode
             params = urlencode({"id": video_id})
             url = f"{SCRAPECREATORS_YT_BASE}/video/comments?{params}"
-            headers = _sc_headers(token)
+            headers = http.scrapecreators_headers(token)
             headers["User-Agent"] = http.USER_AGENT
             data = http.get(url, headers=headers, timeout=30, retries=2)
         except Exception as exc:
@@ -756,7 +748,7 @@ def _fetch_video_comments(
             resp = _requests.get(
                 f"{SCRAPECREATORS_YT_BASE}/video/comments",
                 params={"id": video_id},
-                headers=_sc_headers(token),
+                headers=http.scrapecreators_headers(token),
                 timeout=30,
             )
             resp.raise_for_status()
@@ -906,7 +898,7 @@ def _sc_youtube_search(keyword: str, token: str) -> List[Dict[str, Any]]:
             from urllib.parse import urlencode
             params = urlencode({"keyword": keyword})
             url = f"{SCRAPECREATORS_YT_BASE}/search?{params}"
-            headers = _sc_headers(token)
+            headers = http.scrapecreators_headers(token)
             headers["User-Agent"] = http.USER_AGENT
             data = http.get(url, headers=headers, timeout=30, retries=2)
             return data.get("videos", data.get("data", data.get("items", [])))
@@ -918,7 +910,7 @@ def _sc_youtube_search(keyword: str, token: str) -> List[Dict[str, Any]]:
         resp = _requests.get(
             f"{SCRAPECREATORS_YT_BASE}/search",
             params={"keyword": keyword},
-            headers=_sc_headers(token),
+            headers=http.scrapecreators_headers(token),
             timeout=30,
         )
         resp.raise_for_status()
@@ -944,7 +936,7 @@ def _sc_fetch_transcript(video_id: str, token: str) -> Optional[str]:
             from urllib.parse import urlencode
             params = urlencode({"id": video_id})
             url = f"{SCRAPECREATORS_YT_BASE}/video/transcript?{params}"
-            headers = _sc_headers(token)
+            headers = http.scrapecreators_headers(token)
             headers["User-Agent"] = http.USER_AGENT
             data = http.get(url, headers=headers, timeout=30, retries=2)
         except Exception as exc:
@@ -955,7 +947,7 @@ def _sc_fetch_transcript(video_id: str, token: str) -> Optional[str]:
             resp = _requests.get(
                 f"{SCRAPECREATORS_YT_BASE}/video/transcript",
                 params={"id": video_id},
-                headers=_sc_headers(token),
+                headers=http.scrapecreators_headers(token),
                 timeout=30,
             )
             if resp.status_code != 200:

scripts/sync.sh

@@ -11,7 +11,7 @@ COMMON_TARGETS=(
   # but local development needs the cache kept in sync with the repo.
   # Do NOT add ~/.claude/skills/last30days - it creates a duplicate
   # /last30days-3 in the slash command menu alongside the plugin version.
-  "$HOME/.claude/plugins/cache/last30days-skill-private/last30days-3/3.0.0-alpha"
+  "$HOME/.claude/plugins/cache/last30days-skill-private/last30days-3/3.0.1"
   "$HOME/.claude/plugins/cache/last30days-skill-private/last30days-3-nogem/3.0.0-nogem"
   "$HOME/.agents/skills/last30days"
   "$HOME/.codex/skills/last30days"
@@ -24,7 +24,7 @@ sync_target() {
 
   echo ""
   echo "--- Syncing to $target ---"
-  mkdir -p "$target/scripts/lib" "$target/variants/open/references"
+  mkdir -p "$target/scripts/lib"
 
   cp "$skill_md" "$target/SKILL.md"
 
@@ -35,7 +35,13 @@ sync_target() {
     "$SRC/scripts/store.py" \
     "$target/scripts/"
   rsync -a "$SRC/scripts/lib/"*.py "$target/scripts/lib/"
-  rsync -a "$SRC/variants/open/" "$target/variants/open/"
+
+  # The OpenClaw variant lives in the private repo only. Skip cleanly when
+  # running this script from the public repo where variants/open does not exist.
+  if [ -d "$SRC/variants/open" ]; then
+    mkdir -p "$target/variants/open/references"
+    rsync -a "$SRC/variants/open/" "$target/variants/open/"
+  fi
 
   if [ -d "$SRC/scripts/lib/vendor" ]; then
     rsync -a "$SRC/scripts/lib/vendor" "$target/scripts/lib/"
@@ -63,7 +69,60 @@ for t in "${COMMON_TARGETS[@]}"; do
   sync_target "$t" "$SRC/SKILL.md"
 done
 
-sync_target "$OPENCLAW_TARGET" "$SRC/variants/open/SKILL.md"
+# Hermes sync: deploy to Hermes skills directory if it exists
+HERMES_TARGET="$HOME/.hermes/skills/research/last30days"
+if [ -d "$HOME/.hermes/skills/research" ]; then
+  echo ""
+  echo "--- Syncing to Hermes ---"
+  mkdir -p "$HERMES_TARGET/scripts/lib"
+  
+  # Use Hermes-specific SKILL.md if available, fallback to main
+  if [ -f "$SRC/.hermes-plugin/SKILL.md" ]; then
+    cp "$SRC/.hermes-plugin/SKILL.md" "$HERMES_TARGET/SKILL.md"
+  else
+    cp "$SRC/SKILL.md" "$HERMES_TARGET/SKILL.md"
+  fi
+  
+  rsync -a \
+    "$SRC/scripts/last30days.py" \
+    "$SRC/scripts/watchlist.py" \
+    "$SRC/scripts/briefing.py" \
+    "$SRC/scripts/store.py" \
+    "$HERMES_TARGET/scripts/"
+  rsync -a "$SRC/scripts/lib/"*.py "$HERMES_TARGET/scripts/lib/"
+  
+  if [ -d "$SRC/scripts/lib/vendor" ]; then
+    rsync -a "$SRC/scripts/lib/vendor" "$HERMES_TARGET/scripts/lib/"
+  fi
+  
+  if [ -d "$SRC/fixtures" ]; then
+    mkdir -p "$HERMES_TARGET/fixtures"
+    rsync -a "$SRC/fixtures/" "$HERMES_TARGET/fixtures/"
+  fi
+  
+  mod_count=$(ls "$HERMES_TARGET/scripts/lib/"*.py 2>/dev/null | wc -l | tr -d ' ')
+  echo "  Copied $mod_count modules to Hermes"
+  
+  if (
+    cd "$HERMES_TARGET/scripts" &&
+    python3 -c "import briefing, store, watchlist; from lib import youtube_yt, bird_x, render, ui; print('  Import check: OK')"
+  ); then
+    true
+  else
+    echo "  Import check FAILED"
+  fi
+fi
+
+# OpenClaw sync only runs when the private-repo OpenClaw variant is present
+# in the source tree. The public repo does not ship variants/open (the variant
+# is sanitized via strip_for_openclaw.py and published separately from
+# last30days-skill-private).
+if [ -d "$SRC/variants/open" ]; then
+  sync_target "$OPENCLAW_TARGET" "$SRC/variants/open/SKILL.md"
+else
+  echo ""
+  echo "Skipping OpenClaw target (no variants/open in this repo)"
+fi
 
 echo ""
 echo "Sync complete."

skills/last30days/SKILL.md

@@ -1,14 +1,14 @@
 ---
-name: last30days
-version: "3.0.0"
-description: "Multi-query social search with intelligent planning. Agent plans queries when possible, falls back to Gemini/OpenAI when not. Research any topic across Reddit, X, YouTube, TikTok, Instagram, Hacker News, Polymarket, and the web."
+name: last30days-v3-spec
+version: "3.0.1"
+description: "Internal architecture spec for the v3 last30days runtime pipeline. Not user-invocable."
 argument-hint: "last30days codex vs claude code"
 allowed-tools: Bash, Read, Write, WebSearch
 homepage: https://github.com/mvanhorn/last30days-skill
 repository: https://github.com/mvanhorn/last30days-skill
 author: mvanhorn
 license: MIT
-user-invocable: true
+user-invocable: false
 ---
 
 # last30days v3.0.0
@@ -86,7 +86,6 @@ fi
 - `yt-dlp` enables YouTube.
 - Planning and reranking fall back gracefully: Gemini -> OpenAI -> xAI -> deterministic/local.
 - Web retrieval stays within Brave/Serper dated results. Undated web hits are dropped.
-- For OpenClaw-specific watchlist, briefing, and history workflows, use `variants/open/SKILL.md`.
 
 ## Output model
 

tests/test_bird_x.py

@@ -175,7 +175,7 @@ class TestVendoredBirdRuntime(unittest.TestCase):
             }
         ]
         items = parse_bird_response(tweets, "test query")
-        self.assertIsNone(items[0]["engagement"]["likes"])
+        self.assertIsNone(items[0]["engagement"])
 
     def test_fallback_to_second_key(self):
         tweets = [
@@ -203,6 +203,32 @@ class TestVendoredBirdRuntime(unittest.TestCase):
         items = parse_bird_response(tweets, "test query")
         self.assertEqual(0, items[0]["engagement"]["likes"])
 
+    def test_engagement_none_when_all_fields_missing(self):
+        """All-None engagement dict should become None, not propagate."""
+        tweets = [
+            {
+                "id": "1",
+                "text": "test",
+                "permanent_url": "https://x.com/u/status/1",
+            }
+        ]
+        items = parse_bird_response(tweets, "test query")
+        self.assertIsNone(items[0]["engagement"])
+
+    def test_engagement_preserved_when_any_field_present(self):
+        """Engagement dict kept when at least one metric exists."""
+        tweets = [
+            {
+                "id": "1",
+                "text": "test",
+                "permanent_url": "https://x.com/u/status/1",
+                "likeCount": 5,
+            }
+        ]
+        items = parse_bird_response(tweets, "test query")
+        self.assertIsNotNone(items[0]["engagement"])
+        self.assertEqual(5, items[0]["engagement"]["likes"])
+
 
 if __name__ == "__main__":
     unittest.main()

tests/test_cli_v3.py

@@ -77,6 +77,13 @@ class CliV3Tests(unittest.TestCase):
         with self.assertRaises(SystemExit):
             cli.parse_search_flag(" , ")
 
+    def test_build_parser_accepts_days_alias_and_preserves_topic_tokens(self):
+        parser = cli.build_parser()
+        args, extra = parser.parse_known_args(["--days", "7", "biosecurity", "ai", "agents"])
+        self.assertEqual(7, args.lookback_days)
+        self.assertEqual(["biosecurity", "ai", "agents"], args.topic)
+        self.assertEqual([], extra)
+
     def test_ensure_supported_python_rejects_old_interpreter_with_actionable_error(self):
         stderr = io.StringIO()
         with redirect_stderr(stderr):
@@ -128,6 +135,14 @@ class CliV3Tests(unittest.TestCase):
             payload = json.loads(path.read_text())
             self.assertEqual("OpenClaw vs NanoClaw", payload["topic"])
 
+    def test_save_output_writes_utf8_encoded_markdown(self):
+        report = self.make_report()
+        with tempfile.TemporaryDirectory() as tmp:
+            with mock.patch("pathlib.Path.write_text", autospec=True, return_value=1) as write_text:
+                cli.save_output(report, "md", tmp)
+        _, kwargs = write_text.call_args
+        self.assertEqual("utf-8", kwargs.get("encoding"))
+
     def test_persist_report_updates_run_status_on_success_and_failure(self):
         report = self.make_report()
 

tests/test_env_include_sources_default.py

@@ -0,0 +1,14 @@
+from scripts.lib import env
+
+
+def test_include_sources_defaults_to_empty_string(monkeypatch, tmp_path):
+    # Ensure the env var is not set
+    monkeypatch.delenv("INCLUDE_SOURCES", raising=False)
+
+    # Avoid reading any real user config file by patching the resolved module path directly
+    monkeypatch.setattr(env, "CONFIG_FILE", tmp_path / "does-not-exist.env")
+
+    cfg = env.get_config()
+
+    assert "INCLUDE_SOURCES" in cfg
+    assert cfg["INCLUDE_SOURCES"] == ""

tests/test_github.py

@@ -56,6 +56,22 @@ class TestParseDate(unittest.TestCase):
     def test_empty(self):
         self.assertIsNone(github._parse_date(""))
 
+    def test_rejects_garbage(self):
+        """The old naive slicing returned 'hello worl' for 'hello world'. Reject it."""
+        self.assertIsNone(github._parse_date("hello world"))
+        self.assertIsNone(github._parse_date("not-a-date"))
+        self.assertIsNone(github._parse_date("abcdefghij"))
+
+    def test_rejects_invalid_date_values(self):
+        """An out-of-range date like 2026-99-99 is not a real date."""
+        self.assertIsNone(github._parse_date("2026-99-99"))
+
+    def test_iso_with_offset(self):
+        self.assertEqual(github._parse_date("2026-03-15T12:00:00+00:00"), "2026-03-15")
+
+    def test_iso_with_no_colon_offset(self):
+        self.assertEqual(github._parse_date("2026-03-15T12:00:00+0000"), "2026-03-15")
+
 
 class TestSearchGithub(unittest.TestCase):
     @patch.dict("os.environ", {}, clear=True)

tests/test_http_v3.py

@@ -41,3 +41,66 @@ class Test429RetryLimit(unittest.TestCase):
             http.request("GET", "http://example.com", retries=3)
 
         self.assertEqual(mock_urlopen.call_count, 3)
+
+
+def _mock_response(body: str = '{"ok": true}', status: int = 200):
+    resp = MagicMock()
+    resp.__enter__ = MagicMock(return_value=resp)
+    resp.__exit__ = MagicMock(return_value=False)
+    resp.read.return_value = body.encode("utf-8")
+    resp.status = status
+    return resp
+
+
+class TestParamsEncoding(unittest.TestCase):
+    """request() should urlencode the params dict into the URL."""
+
+    def _sent_url(self, mock_urlopen) -> str:
+        request_arg = mock_urlopen.call_args[0][0]
+        return request_arg.full_url
+
+    @patch("lib.http.urllib.request.urlopen")
+    def test_params_appended_to_url(self, mock_urlopen):
+        mock_urlopen.return_value = _mock_response()
+        http.get("https://api.example.com/search", params={"q": "test", "limit": 10})
+        sent_url = self._sent_url(mock_urlopen)
+        self.assertIn("q=test", sent_url)
+        self.assertIn("limit=10", sent_url)
+
+    @patch("lib.http.urllib.request.urlopen")
+    def test_params_appended_with_existing_query_string(self, mock_urlopen):
+        mock_urlopen.return_value = _mock_response()
+        http.get("https://api.example.com/search?api_key=secret", params={"q": "test"})
+        sent_url = self._sent_url(mock_urlopen)
+        self.assertTrue(sent_url.startswith("https://api.example.com/search?api_key=secret&"))
+        self.assertIn("q=test", sent_url)
+
+    @patch("lib.http.urllib.request.urlopen")
+    def test_none_values_dropped(self, mock_urlopen):
+        mock_urlopen.return_value = _mock_response()
+        http.get("https://api.example.com/search", params={"q": "test", "filter": None})
+        sent_url = self._sent_url(mock_urlopen)
+        self.assertIn("q=test", sent_url)
+        self.assertNotIn("filter", sent_url)
+
+    @patch("lib.http.urllib.request.urlopen")
+    def test_empty_params_leaves_url_unchanged(self, mock_urlopen):
+        mock_urlopen.return_value = _mock_response()
+        http.get("https://api.example.com/search", params={})
+        sent_url = self._sent_url(mock_urlopen)
+        self.assertEqual(sent_url, "https://api.example.com/search")
+
+    @patch("lib.http.urllib.request.urlopen")
+    def test_no_params_kwarg_leaves_url_unchanged(self, mock_urlopen):
+        mock_urlopen.return_value = _mock_response()
+        http.get("https://api.example.com/search")
+        sent_url = self._sent_url(mock_urlopen)
+        self.assertEqual(sent_url, "https://api.example.com/search")
+
+    @patch("lib.http.urllib.request.urlopen")
+    def test_int_and_bool_params_stringified(self, mock_urlopen):
+        mock_urlopen.return_value = _mock_response()
+        http.get("https://api.example.com/search", params={"count": 25, "raw": True})
+        sent_url = self._sent_url(mock_urlopen)
+        self.assertIn("count=25", sent_url)
+        self.assertIn("raw=True", sent_url)

tests/test_normalize_v3.py

@@ -49,6 +49,165 @@ class NormalizeV3Tests(unittest.TestCase):
         )
         self.assertEqual([], normalized)
 
+    def test_youtube_top_comments_passthrough_with_field_mapping(self):
+        """YT comments from enrich_with_comments use likes/text; normalize must
+        carry them into metadata as the Reddit-compatible {score, excerpt} shape."""
+        items = [
+            {
+                "video_id": "vid-1",
+                "title": "How to deploy",
+                "url": "https://youtube.com/watch?v=vid-1",
+                "channel_name": "Example",
+                "date": "2026-03-01",
+                "engagement": {"views": 10000, "likes": 500, "comments": 30},
+                "top_comments": [
+                    {"author": "Alice", "text": "Best tutorial ever", "likes": 120, "date": "2026-03-02"},
+                    {"author": "Bob", "text": "Helped me ship", "likes": 45, "date": "2026-03-03"},
+                    {"author": "Carol", "text": "Solid walkthrough", "likes": 7, "date": "2026-03-04"},
+                ],
+            }
+        ]
+        normalized = normalize.normalize_source_items(
+            "youtube", items, "2026-02-15", "2026-03-17",
+        )
+        self.assertEqual(1, len(normalized))
+        top = normalized[0].metadata.get("top_comments")
+        self.assertIsNotNone(top)
+        self.assertEqual(3, len(top))
+        # First comment: likes->score, text->excerpt
+        self.assertEqual(120, top[0]["score"])
+        self.assertEqual("Best tutorial ever", top[0]["excerpt"])
+        self.assertEqual("Alice", top[0]["author"])
+        self.assertEqual("2026-03-02", top[0]["date"])
+        # Preserves ordering from input (already sorted desc upstream)
+        self.assertEqual(45, top[1]["score"])
+        self.assertEqual(7, top[2]["score"])
+
+    def test_youtube_top_comments_empty_list_passes_through_cleanly(self):
+        items = [
+            {
+                "video_id": "vid-2",
+                "title": "Short clip",
+                "url": "https://youtube.com/watch?v=vid-2",
+                "channel_name": "Example",
+                "date": "2026-03-01",
+                "engagement": {"views": 50, "likes": 2},
+                "top_comments": [],
+            }
+        ]
+        normalized = normalize.normalize_source_items(
+            "youtube", items, "2026-02-15", "2026-03-17",
+        )
+        self.assertEqual(1, len(normalized))
+        # Empty list is fine; metadata may have empty top_comments or omit it.
+        top = normalized[0].metadata.get("top_comments", [])
+        self.assertEqual([], top)
+
+    def test_youtube_without_top_comments_key_does_not_crash(self):
+        items = [
+            {
+                "video_id": "vid-3",
+                "title": "No comments fetched",
+                "url": "https://youtube.com/watch?v=vid-3",
+                "channel_name": "Example",
+                "date": "2026-03-01",
+                "engagement": {"views": 100, "likes": 5},
+            }
+        ]
+        normalized = normalize.normalize_source_items(
+            "youtube", items, "2026-02-15", "2026-03-17",
+        )
+        self.assertEqual(1, len(normalized))
+        self.assertEqual([], normalized[0].metadata.get("top_comments", []))
+
+    def test_youtube_top_comments_feed_top_comment_score_signal(self):
+        """Integration: after normalize, signals._top_comment_score should
+        return log1p(first comment score) for YT, proving the full chain."""
+        from lib import signals
+        import math
+        items = [
+            {
+                "video_id": "vid-4",
+                "title": "Viral comment thread",
+                "url": "https://youtube.com/watch?v=vid-4",
+                "channel_name": "Example",
+                "date": "2026-03-01",
+                "engagement": {"views": 1000, "likes": 50, "comments": 10},
+                "top_comments": [
+                    {"author": "A", "text": "Legendary", "likes": 9999, "date": "2026-03-02"},
+                ],
+            }
+        ]
+        normalized = normalize.normalize_source_items(
+            "youtube", items, "2026-02-15", "2026-03-17",
+        )
+        self.assertAlmostEqual(math.log1p(9999), signals._top_comment_score(normalized[0]), places=4)
+
+    def test_tiktok_top_comments_passthrough_with_digg_count_mapping(self):
+        """TikTok comments from enrich_with_comments use digg_count/text;
+        normalize must map to the shared {score, excerpt} shape."""
+        items = [
+            {
+                "id": "tt-1",
+                "text": "POV: shipping on Friday",
+                "url": "https://www.tiktok.com/@u/video/tt-1",
+                "author_name": "u",
+                "date": "2026-03-01",
+                "engagement": {"views": 50000, "likes": 2000, "comments": 300},
+                "top_comments": [
+                    {"author": "Alice", "text": "dead", "digg_count": 1200, "date": "2026-03-02"},
+                    {"author": "Bob", "text": "so real", "digg_count": 400, "date": "2026-03-03"},
+                ],
+            }
+        ]
+        normalized = normalize.normalize_source_items(
+            "tiktok", items, "2026-02-15", "2026-03-17",
+        )
+        self.assertEqual(1, len(normalized))
+        top = normalized[0].metadata.get("top_comments")
+        self.assertEqual(2, len(top))
+        self.assertEqual(1200, top[0]["score"])
+        self.assertEqual("dead", top[0]["excerpt"])
+        self.assertEqual("Alice", top[0]["author"])
+        self.assertEqual(400, top[1]["score"])
+
+    def test_tiktok_without_top_comments_does_not_crash(self):
+        items = [
+            {
+                "id": "tt-2",
+                "text": "plain clip",
+                "url": "https://www.tiktok.com/@u/video/tt-2",
+                "author_name": "u",
+                "date": "2026-03-01",
+                "engagement": {"views": 1000, "likes": 20},
+            }
+        ]
+        normalized = normalize.normalize_source_items(
+            "tiktok", items, "2026-02-15", "2026-03-17",
+        )
+        self.assertEqual([], normalized[0].metadata.get("top_comments", []))
+
+    def test_tiktok_top_comments_feed_top_comment_score_signal(self):
+        from lib import signals
+        import math
+        items = [
+            {
+                "id": "tt-3",
+                "text": "viral",
+                "url": "https://www.tiktok.com/@u/video/tt-3",
+                "author_name": "u",
+                "date": "2026-03-01",
+                "engagement": {"views": 100000, "likes": 5000, "comments": 500},
+                "top_comments": [
+                    {"author": "A", "text": "this aged well", "digg_count": 50000, "date": "2026-03-02"},
+                ],
+            }
+        ]
+        normalized = normalize.normalize_source_items(
+            "tiktok", items, "2026-02-15", "2026-03-17",
+        )
+        self.assertAlmostEqual(math.log1p(50000), signals._top_comment_score(normalized[0]), places=4)
+
     def test_grounding_requires_a_usable_date(self):
         items = [
             {

tests/test_render_v3.py

@@ -242,6 +242,34 @@ class RenderTopCommentsTests(unittest.TestCase):
         self.assertNotIn("Comment (", text)
         self.assertNotIn("upvotes)", text)
 
+    def test_youtube_comments_use_likes_label_and_50_threshold(self):
+        comments = [
+            {"score": 120, "excerpt": "legit fire tutorial", "author": "alice"},
+            {"score": 60, "excerpt": "saved me hours", "author": "bob"},
+            {"score": 10, "excerpt": "below threshold", "author": "carol"},
+        ]
+        report = self._make_report_with_comments(source="youtube", top_comments=comments)
+        text = render.render_compact(report)
+        self.assertIn("Comment (120 likes): legit fire tutorial", text)
+        self.assertIn("Comment (60 likes): saved me hours", text)
+        self.assertNotIn("Comment (10 likes)", text)
+        # Render must not silently label YT as upvotes.
+        self.assertNotIn("Comment (120 upvotes)", text)
+
+    def test_tiktok_comments_use_likes_label_and_500_threshold(self):
+        comments = [
+            {"score": 2000, "excerpt": "this aged well", "author": "a"},
+            {"score": 600, "excerpt": "so real", "author": "b"},
+            {"score": 400, "excerpt": "below tt threshold", "author": "c"},
+            {"score": 50, "excerpt": "way below", "author": "d"},
+        ]
+        report = self._make_report_with_comments(source="tiktok", top_comments=comments)
+        text = render.render_compact(report)
+        self.assertIn("Comment (2000 likes): this aged well", text)
+        self.assertIn("Comment (600 likes): so real", text)
+        self.assertNotIn("Comment (400 likes)", text)
+        self.assertNotIn("Comment (50 likes)", text)
+
 
 class RenderBestTakesCompactTests(unittest.TestCase):
     """Tests for Best Takes section in compact output and fun tags on candidates."""

tests/test_signals_v3.py

@@ -28,6 +28,98 @@ class SignalsV3Tests(unittest.TestCase):
         )
         self.assertAlmostEqual(expected, signals.engagement_raw(item))
 
+    def test_youtube_engagement_adds_top_comment_slot(self):
+        with_comment = schema.SourceItem(
+            item_id="yt1",
+            source="youtube",
+            title="Title",
+            body="Body",
+            url="https://youtube.com/watch?v=a",
+            engagement={"views": 10000, "likes": 500, "comments": 30},
+            metadata={"top_comments": [{"score": 500}]},
+        )
+        without = schema.SourceItem(
+            item_id="yt2",
+            source="youtube",
+            title="Title",
+            body="Body",
+            url="https://youtube.com/watch?v=b",
+            engagement={"views": 10000, "likes": 500, "comments": 30},
+            metadata={"top_comments": []},
+        )
+        with_score = signals.engagement_raw(with_comment)
+        without_score = signals.engagement_raw(without)
+        self.assertIsNotNone(with_score)
+        self.assertIsNotNone(without_score)
+        self.assertGreater(with_score, without_score)
+        expected = (
+            0.45 * math.log1p(10000)
+            + 0.32 * math.log1p(500)
+            + 0.13 * math.log1p(30)
+            + 0.10 * math.log1p(500)
+        )
+        self.assertAlmostEqual(expected, with_score, places=6)
+
+    def test_youtube_engagement_empty_returns_none(self):
+        item = schema.SourceItem(
+            item_id="yt-empty",
+            source="youtube",
+            title="Title",
+            body="Body",
+            url="https://youtube.com/watch?v=e",
+            engagement={},
+            metadata={"top_comments": []},
+        )
+        self.assertIsNone(signals.engagement_raw(item))
+
+    def test_tiktok_engagement_adds_top_comment_slot(self):
+        item = schema.SourceItem(
+            item_id="tt1",
+            source="tiktok",
+            title="Title",
+            body="Body",
+            url="https://tiktok.com/@u/video/1",
+            engagement={"views": 100000, "likes": 5000, "comments": 500},
+            metadata={"top_comments": [{"score": 1200}]},
+        )
+        expected = (
+            0.45 * math.log1p(100000)
+            + 0.27 * math.log1p(5000)
+            + 0.18 * math.log1p(500)
+            + 0.10 * math.log1p(1200)
+        )
+        self.assertAlmostEqual(expected, signals.engagement_raw(item), places=6)
+
+    def test_youtube_ranking_promotes_viral_comment_thread(self):
+        """A moderately-viewed YouTube video with a 10k-like comment should
+        outrank a slightly-higher-viewed video with no high-signal comments."""
+        viral_comment = schema.SourceItem(
+            item_id="yt-with-viral-comment",
+            source="youtube",
+            title="Deploy to Fly.io",
+            body="Deploy to Fly.io walkthrough",
+            url="https://youtube.com/watch?v=x",
+            published_at="2026-03-15",
+            engagement={"views": 5000, "likes": 200, "comments": 50},
+            metadata={"top_comments": [{"score": 10000}]},
+        )
+        higher_views = schema.SourceItem(
+            item_id="yt-higher-views-no-comment",
+            source="youtube",
+            title="Deploy to Fly.io",
+            body="Deploy to Fly.io walkthrough",
+            url="https://youtube.com/watch?v=y",
+            published_at="2026-03-15",
+            engagement={"views": 8000, "likes": 300, "comments": 60},
+            metadata={"top_comments": []},
+        )
+        ranked = signals.annotate_stream(
+            [higher_views, viral_comment],
+            ranking_query="How do I deploy on Fly.io?",
+            freshness_mode="balanced_recent",
+        )
+        self.assertEqual("yt-with-viral-comment", ranked[0].item_id)
+
     def test_polymarket_engagement_uses_market_fields(self):
         item = schema.SourceItem(
             item_id="pm1",
@@ -221,7 +313,8 @@ class SignalsV3Tests(unittest.TestCase):
         self.assertAlmostEqual(expected, result)
 
     def test_youtube_engagement_dominant_weight(self):
-        """YouTube: views at 0.50 should dominate over comments at 0.15."""
+        """YouTube: views at 0.45 should dominate. With no top-comment data,
+        the remaining 0.90 of weight is split views/likes/comments 0.45/0.32/0.13."""
         item = schema.SourceItem(
             item_id="yt1", source="youtube", title="T", body="B",
             url="https://example.com",
@@ -230,9 +323,9 @@ class SignalsV3Tests(unittest.TestCase):
         result = signals.engagement_raw(item)
         self.assertIsNotNone(result)
         expected = (
-            0.50 * math.log1p(10000)
-            + 0.35 * math.log1p(500)
-            + 0.15 * math.log1p(80)
+            0.45 * math.log1p(10000)
+            + 0.32 * math.log1p(500)
+            + 0.13 * math.log1p(80)
         )
         self.assertAlmostEqual(expected, result)
 
@@ -252,7 +345,7 @@ class SignalsV3Tests(unittest.TestCase):
         )
         result = signals.engagement_raw(item)
         self.assertIsNotNone(result)
-        expected = 0.50 * math.log1p(5000)
+        expected = 0.45 * math.log1p(5000)
         self.assertAlmostEqual(expected, result)
 
     def test_tiktok_engagement_dominant_weight(self):
@@ -264,9 +357,9 @@ class SignalsV3Tests(unittest.TestCase):
         result = signals.engagement_raw(item)
         self.assertIsNotNone(result)
         expected = (
-            0.50 * math.log1p(50000)
-            + 0.30 * math.log1p(3000)
-            + 0.20 * math.log1p(200)
+            0.45 * math.log1p(50000)
+            + 0.27 * math.log1p(3000)
+            + 0.18 * math.log1p(200)
         )
         self.assertAlmostEqual(expected, result)
 
@@ -286,7 +379,7 @@ class SignalsV3Tests(unittest.TestCase):
         )
         result = signals.engagement_raw(item)
         self.assertIsNotNone(result)
-        expected = 0.30 * math.log1p(1000)
+        expected = 0.27 * math.log1p(1000)
         self.assertAlmostEqual(expected, result)
 
     def test_instagram_engagement_dominant_weight(self):

tests/test_tiktok.py

@@ -105,5 +105,112 @@ class TestExpandTikTokQueries(unittest.TestCase):
         self.assertEqual(len(queries), 1)
 
 
+class TestTikTokCommentsGate(unittest.TestCase):
+    def test_gate_requires_key_and_token(self):
+        from lib import env
+        self.assertFalse(env.is_tiktok_comments_available({}))
+        self.assertFalse(env.is_tiktok_comments_available(
+            {"SCRAPECREATORS_API_KEY": "k"}
+        ))
+        self.assertFalse(env.is_tiktok_comments_available(
+            {"INCLUDE_SOURCES": "tiktok_comments"}
+        ))
+        self.assertTrue(env.is_tiktok_comments_available(
+            {"SCRAPECREATORS_API_KEY": "k", "INCLUDE_SOURCES": "tiktok,tiktok_comments"}
+        ))
+
+    def test_gate_case_matches_youtube_pattern(self):
+        from lib import env
+        # Matches the existing youtube_comments behaviour — plain substring match via _parse_include_sources.
+        self.assertTrue(env.is_tiktok_comments_available(
+            {"SCRAPECREATORS_API_KEY": "k", "INCLUDE_SOURCES": "TIKTOK,TIKTOK_COMMENTS"}
+        ))
+
+
+class TestTikTokEnrichWithComments(unittest.TestCase):
+    def test_empty_items_returns_empty(self):
+        from lib import tiktok
+        self.assertEqual([], tiktok.enrich_with_comments([], token="k"))
+
+    def test_missing_token_is_noop(self):
+        from lib import tiktok
+        items = [{"video_id": "1", "url": "https://www.tiktok.com/@u/video/1", "engagement": {"views": 100}}]
+        result = tiktok.enrich_with_comments(items, token="")
+        self.assertNotIn("top_comments", result[0])
+
+    def test_fetch_post_comments_parses_sc_response(self):
+        from unittest.mock import patch
+        from lib import tiktok
+
+        fake_sc_response = {
+            "comments": [
+                {"text": "loved it", "user": {"nickname": "Alice"},
+                 "digg_count": 420, "create_time": 1709251200},
+                {"text": "meh", "user": {"nickname": "Bob"},
+                 "digg_count": 3, "create_time": 1709251300},
+                {"text": "", "user": {"nickname": "Skip"},
+                 "digg_count": 999, "create_time": 1709251400},
+            ],
+            "total": 3,
+        }
+
+        class FakeResp:
+            def raise_for_status(self):
+                pass
+            def json(self):
+                return fake_sc_response
+
+        with patch.object(tiktok, "_requests") as mock_req:
+            mock_req.get.return_value = FakeResp()
+            out = tiktok._fetch_post_comments(
+                "https://www.tiktok.com/@u/video/1",
+                token="k",
+                max_comments=5,
+            )
+        # Empty-text comment dropped; rest sorted desc by digg_count.
+        self.assertEqual(2, len(out))
+        self.assertEqual("loved it", out[0]["text"])
+        self.assertEqual(420, out[0]["digg_count"])
+        self.assertEqual("Alice", out[0]["author"])
+        self.assertEqual("2024-03-01", out[0]["date"])
+        self.assertEqual(3, out[1]["digg_count"])
+
+    def test_fetch_post_comments_swallows_http_error(self):
+        from unittest.mock import patch
+        from lib import tiktok
+
+        with patch.object(tiktok, "_requests") as mock_req:
+            mock_req.get.side_effect = Exception("429 rate limit")
+            out = tiktok._fetch_post_comments(
+                "https://www.tiktok.com/@u/video/1",
+                token="k",
+                max_comments=5,
+            )
+        self.assertEqual([], out)
+
+    def test_enrich_attaches_top_comments_to_top_ranked_items(self):
+        from unittest.mock import patch
+        from lib import tiktok
+
+        items = [
+            {"video_id": "low", "url": "https://www.tiktok.com/@u/video/low",
+             "engagement": {"views": 10, "likes": 1, "comments": 0}},
+            {"video_id": "high", "url": "https://www.tiktok.com/@u/video/high",
+             "engagement": {"views": 10000, "likes": 500, "comments": 30}},
+            {"video_id": "mid", "url": "https://www.tiktok.com/@u/video/mid",
+             "engagement": {"views": 1000, "likes": 50, "comments": 5}},
+        ]
+        with patch.object(tiktok, "_fetch_post_comments") as mock_fetch:
+            mock_fetch.return_value = [
+                {"author": "A", "text": "fire", "digg_count": 100, "date": "2024-03-01"}
+            ]
+            tiktok.enrich_with_comments(items, token="k", max_posts=2)
+        # High and mid get comments; low does not.
+        by_id = {i["video_id"]: i for i in items}
+        self.assertIn("top_comments", by_id["high"])
+        self.assertIn("top_comments", by_id["mid"])
+        self.assertNotIn("top_comments", by_id["low"])
+
+
 if __name__ == "__main__":
     unittest.main()

tests/test_version_consistency.py

@@ -0,0 +1,30 @@
+import re
+import unittest
+from pathlib import Path
+
+
+ROOT = Path(__file__).resolve().parents[1]
+
+
+def _skill_version() -> str:
+    text = (ROOT / "SKILL.md").read_text(encoding="utf-8")
+    match = re.search(r'^version:\s*"([^"]+)"\s*$', text, re.MULTILINE)
+    if not match:
+        raise AssertionError("SKILL.md version frontmatter not found")
+    return match.group(1)
+
+
+class TestVersionConsistency(unittest.TestCase):
+    def test_root_skill_header_matches_frontmatter_version(self) -> None:
+        text = (ROOT / "SKILL.md").read_text(encoding="utf-8")
+        version = _skill_version()
+        self.assertIn(f"# last30days v{version}:", text)
+
+    def test_sync_cache_path_uses_skill_version(self) -> None:
+        sync_text = (ROOT / "scripts" / "sync.sh").read_text(encoding="utf-8")
+        version = _skill_version()
+        self.assertIn(f'last30days-3/{version}"', sync_text)
+
+
+if __name__ == "__main__":
+    unittest.main()

vendor/package/CHANGELOG.md

@@ -1,176 +0,0 @@
-# Changelog
-
-## 0.8.0 — 2026-01-19
-
-### Added
-- `bookmarks` thread expansion controls (`--expand-root-only`, `--author-chain`, `--author-only`, `--full-chain-only`, `--include-ancestor-branches`, `--include-parent`, `--thread-meta`, `--sort-chronological`) for richer context exports (#55) — thanks @kkretschmer2.
-- `--chrome-profile-dir` to point at Chromium profile directories or cookie DB files (Arc/Brave/etc) for cookie extraction (#16) — thanks @tekumara.
-- `about` command to report account origin/location metadata (#51) — thanks @pjtf93.
-- `follow`/`unfollow` commands to manage follows (#54) — thanks @citizenlee.
-- Twitter client now supports like/unlike/retweet/unretweet/bookmark via the engagement mixin (#53) — thanks @the-vampiire.
-
-### Fixed
-- `bookmarks` expanded JSON now preserves pagination `nextCursor`, and full-chain filtering only includes ancestor branches when requested.
-- Follow/unfollow REST fallback now supports cursor pagination for followers/following (#54).
-- About account live coverage now verifies data extraction paths (#51) — thanks @pjtf93.
-
-### Tests
-- Live tests now exercise engagement mutations (opt-in) (#53) — thanks @the-vampiire.
-
-## 0.7.0 — 2026-01-12
-
-### Added
-- `home` command for the "For You" and "Following" home timelines (#31) — thanks @odysseus0.
-- `news`/`trending` command for Explore tabs with AI-curated headlines (#39) — thanks @aavetis.
-- `user-tweets` command to fetch a user's profile timeline (#34) — thanks @crcatala.
-- `replies` and `thread` now support pagination (`--all`, `--max-pages`, `--cursor`, `--delay`) (#35) — thanks @crcatala.
-- `search` now supports pagination (`--all`, `--max-pages`, `--cursor`) (#42) — thanks @pjtf93.
-- `likes` now supports pagination (`--all`, `--max-pages`, `--cursor`) (#44) — thanks @jsholmes.
-- `list-timeline` now supports pagination (`--all`, `--max-pages`, `--cursor`) (#30) — thanks @zheli.
-- Rich text output now shows article previews, quoted tweets, and media links (#32) — thanks @odysseus0.
-- Long-form article tweets now render rich Draft.js content blocks/entities (#36) — thanks @crcatala.
-
-### Changed
-- Library typing: `SearchResult` is now a discriminated union (so `error` only exists when `success: false`).
-
-### Fixed
-- Lists GraphQL feature flags updated to prevent 400s (#27) — thanks @zheli.
-- Lists feature overrides now scope new GraphQL flags correctly (#50) — thanks @ryanh-ai.
-- Tweet detail parsing now tolerates partial GraphQL errors when usable data exists (#48) — thanks @jsholmes.
-- News output now respects `--tweets-per-item`, keeps unique IDs, and parses non-add entry instructions (#39) — thanks @aavetis.
-- Following/followers pagination now guards repeat cursors and standardizes JSON output (#28) — thanks @malpern.
-- Likes pagination now follows cursors and avoids stalling on duplicate pages (#12) — thanks @titouv.
-- macOS cookie extraction now supports Brave keychain storage (#40) — thanks @gakonst.
-- Terminal hyperlinks now sanitize control characters before emitting OSC 8 sequences (#29) — thanks @mafulafunk.
-- `pnpm run build:dist` now succeeds after tightening JSON/pagination option typing in tweet output commands.
-
-### Tests
-- Following: split following/likes tests + cover cursor handling (#33) — thanks @VACInc.
-
-## 0.6.0 — 2026-01-05
-
-### Added
-- Bookmark exports now support pagination (`--all`, `--max-pages`) with retries (#15) — thanks @Nano1337.
-- `lists` + `list-timeline` commands for Twitter Lists (#21) — thanks @harperreed
-- Tweet JSON output now includes media items (photos, videos, GIFs) (#14) — thanks @Hormold
-- Bookmarks can resume pagination from a cursor (#26) — thanks @leonho
-- `unbookmark` command to remove bookmarked tweets (#22) — thanks @mbelinky.
-
-### Changed
-- Feature flags can be overridden at runtime via `features.json` (refreshable via `query-ids`).
-
-### Fixed
-- GraphQL feature flags now include `post_ctas_fetch_enabled` to avoid 400s (#38) — thanks @philipp-spiess.
-
-## 0.5.1 — 2026-01-01
-
-### Changed
-- `bird --help` now includes explicit “Shortcuts” and “JSON Output” sections (documents `bird <tweet-id-or-url>` shorthand + `--json`).
-- Release docs now include explicit npm publish verification steps.
-
-### Fixed
-- `pnpm bird --help` now works (dev script runs the CLI entrypoint, not the library entrypoint).
-- `following`/`followers` now fall back to internal v1.1 REST endpoints when GraphQL returns `404`.
-
-### Tests
-- Add root help output regression test.
-- Add opt-in live CLI test suite (real GraphQL calls; skipped by default; gated via `BIRD_LIVE=1`).
-
-## 0.5.0 — 2026-01-01
-
-### Added
-- `likes` command to list your liked tweets (thanks @swairshah).
-- Quoted tweet data in JSON output + `--quote-depth` (thanks @alexknowshtml).
-- `following`/`followers` commands to list users (thanks @lockmeister).
-
-### Changed
-- Query ID updater now tracks the Likes GraphQL operation.
-- Query ID updater now tracks Following/Followers GraphQL operations.
-- Query ID updater now tracks BookmarkFolderTimeline and keeps bookmark query IDs seeded.
-- `following`/`followers` JSON user fields are now camelCase (`followersCount`, `followingCount`, `isBlueVerified`, `profileImageUrl`, `createdAt`).
-- Cookie extraction timeout is now configurable (default 30s on macOS) via `--cookie-timeout` / `BIRD_COOKIE_TIMEOUT_MS` (thanks @tylerseymour).
-- Search now paginates beyond 20 results when using `-n` (thanks @ryanh-ai).
-- Library exports are now separated from the CLI entrypoint for easier embedding.
-
-## 0.4.1 — 2025-12-31
-
-### Added
-- `bookmarks` command to list your bookmarked tweets.
-- `bookmarks --folder-id` to fetch bookmark folders (thanks @tylerseymour).
-
-### Changed
-- Cookie extraction now uses `@steipete/sweet-cookie` (drops `sqlite3` CLI + custom browser readers in `bird`).
-- Query ID updater now tracks the Bookmarks GraphQL operation.
-- Lint rules stricter (block statements, no-negation-else, useConst/useTemplate, top-level regex, import extension enforcement).
-- `pnpm lint` now runs both Biome and oxlint (type-aware).
-
-### Tests
-- Coverage thresholds raised to 90% statements/lines/functions (80% branches).
-- Added targeted Twitter client coverage suites.
-
-## 0.4.0 — 2025-12-26
-
-### Added
-- Cookie source selection: `--cookie-source safari|chrome|firefox` (repeatable) + `cookieSource` config (string or array).
-
-### Fixed
-- `tweet`/`reply`: fallback to `statuses/update.json` when GraphQL `CreateTweet` returns error 226 (“automated request”).
-
-### Breaking
-- Remove `allowSafari`/`allowChrome`/`allowFirefox` config toggles in favor of `cookieSource` ordering.
-
-## 0.3.0 — 2025-12-26
-
-### Added
-- Safari cookie extraction (`Cookies.binarycookies`) + `allowSafari` config toggle.
-
-### Changed
-- Removed the Sweetistics engine + fallback. `bird` is GraphQL-only.
-- Browser cookie fallback order: Safari → Chrome → Firefox.
-
-### Tests
-- Enforce coverage thresholds (>= 70% statements/branches/functions/lines) + expand unit coverage for version/output/Twitter client branches.
-
-## 0.2.0 — 2025-12-26
-
-### Added
-- Output controls: `--plain`, `--no-emoji`, `--no-color` (respects `NO_COLOR`).
-- `help` command: `bird help <command>`.
-- Runtime GraphQL query ID refresh: `bird query-ids --fresh` (cached on disk; auto-retry on 404; override cache via `BIRD_QUERY_IDS_CACHE`).
-- GraphQL media uploads via `--media` (up to 4 images/GIFs, or 1 video).
-
-### Fixed
-- CLI `--version`: read version from `package.json`/`VERSION` (no hardcoded string) + append git sha when available.
-
-### Changed
-- `mentions`: no hardcoded user; defaults to authenticated user or accepts `--user @handle`.
-- GraphQL query ID updater: correctly pairs `operationName` ↔ `queryId` (CreateTweet/CreateRetweet/etc).
-- `build:dist`: copies `src/lib/query-ids.json` into `dist/lib/query-ids.json` (keeps `dist/` in sync).
-- `--engine graphql`: strict GraphQL-only (disables Sweetistics fallback).
-
-## 0.1.1 — 2025-12-26
-
-### Changed
-- Engine default now `auto` (GraphQL primary; Sweetistics only on fallback when configured).
-
-### Tests
-- Add engine resolution tests for auto/default behavior.
-
-### Fixed
-- GraphQL read: rotate TweetDetail query IDs with fallback to avoid 404s.
-
-## 0.1.0 — 2025-12-20
-
-### Added
-- CLI commands: `tweet`, `reply`, `read`, `replies`, `thread`, `search`, `mentions`, `whoami`, `check`.
-- URL/ID shorthand for `read`, plus `--json` output where supported.
-- GraphQL engine with cookie auth from Firefox/Chrome/env/flags (macOS browsers).
-- Sweetistics engine (API key) with automatic fallback when configured.
-- Media uploads via Sweetistics with per-item alt text (images or single video).
-- Long-form Notes and Articles extraction for full text output.
-- Thread + reply fetching with full conversation parsing.
-- Search + mentions via GraphQL (latest timeline).
-- JSON5 config files (`~/.config/bird/config.json5`, `./.birdrc.json5`) with engine defaults, profiles, allowChrome/allowFirefox, and timeoutMs.
-- Request timeouts (`--timeout`, `timeoutMs`) for GraphQL and Sweetistics calls.
-- Bun-compiled standalone binary via `pnpm run build`.
-- Query ID refresh helper: `pnpm run graphql:update`.

vendor/package/LICENSE

@@ -1,21 +0,0 @@
-MIT License
-
-Copyright (c) 2025 Peter Steinberger
-
-Permission is hereby granted, free of charge, to any person obtaining a copy
-of this software and associated documentation files (the "Software"), to deal
-in the Software without restriction, including without limitation the rights
-to use, copy, modify, merge, publish, distribute, sublicense, and/or sell
-copies of the Software, and to permit persons to whom the Software is
-furnished to do so, subject to the following conditions:
-
-The above copyright notice and this permission notice shall be included in all
-copies or substantial portions of the Software.
-
-THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR
-IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,
-FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE
-AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER
-LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM,
-OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE
-SOFTWARE.

vendor/package/README.md

@@ -1,385 +0,0 @@
-# bird 🐦 — fast X CLI for tweeting, replying, and reading
-
-`bird` is a fast X CLI for tweeting, replying, and reading via X/Twitter GraphQL (cookie auth).
-
-## Disclaimer
-
-This project uses X/Twitter’s **undocumented** web GraphQL API (and cookie auth). X can change endpoints, query IDs,
-and anti-bot behavior at any time — **expect this to break without notice**.
-
-## Install
-
-```bash
-npm install -g @steipete/bird
-# or
-pnpm add -g @steipete/bird
-# or
-bun add -g @steipete/bird
-
-# one-shot (no install)
-bunx @steipete/bird whoami
-```
-
-Homebrew (macOS, prebuilt Bun binary):
-
-```bash
-brew install steipete/tap/bird
-```
-
-## Quickstart
-
-```bash
-# Show the logged-in account
-bird whoami
-
-# Discover command help
-bird help whoami
-
-# Read a tweet (URL or ID)
-bird read https://x.com/user/status/1234567890123456789
-bird 1234567890123456789 --json
-
-# Thread + replies
-bird thread https://x.com/user/status/1234567890123456789
-bird replies 1234567890123456789
-bird replies 1234567890123456789 --max-pages 3 --json
-bird thread 1234567890123456789 --max-pages 3 --json
-
-# Search + mentions
-bird search "from:steipete" -n 5
-bird mentions -n 5
-bird mentions --user @steipete -n 5
-
-# User tweets (profile timeline)
-bird user-tweets @steipete -n 20
-bird user-tweets @steipete -n 50 --json
-
-# Bookmarks
-bird bookmarks -n 5
-bird bookmarks --folder-id 123456789123456789 -n 5 # https://x.com/i/bookmarks/<folder-id>
-bird bookmarks --all --json
-bird bookmarks --all --max-pages 2 --json
-bird bookmarks --include-parent --json
-bird unbookmark 1234567890123456789
-bird unbookmark https://x.com/user/status/1234567890123456789
-
-# Likes
-bird likes -n 5
-
-# News and trending topics (AI-curated from Explore tabs)
-bird news --ai-only -n 10
-bird news --sports -n 5
-
-# Lists
-bird list-timeline 1234567890 -n 20
-bird list-timeline https://x.com/i/lists/1234567890 --all --json
-bird list-timeline 1234567890 --max-pages 3 --json
-
-# Following (who you follow)
-bird following -n 20
-bird following --user 12345678 -n 10  # by user ID
-
-# Followers (who follows you)
-bird followers -n 20
-bird followers --user 12345678 -n 10  # by user ID
-
-# Refresh GraphQL query IDs cache (no rebuild)
-bird query-ids --fresh
-```
-
-## News & Trending
-
-Fetch AI-curated news and trending topics from X's Explore page tabs:
-
-```bash
-# Fetch 10 news items from all tabs (default: For You, News, Sports, Entertainment)
-bird news -n 10
-
-# Fetch only AI-curated news (filters out regular trends)
-bird news --ai-only -n 20
-
-# Fetch from specific tabs
-bird news --news-only --ai-only -n 10
-bird news --sports -n 15
-bird news --entertainment --ai-only -n 5
-
-# Include related tweets for each news item
-bird news --with-tweets --tweets-per-item 3 -n 10
-
-# Combine multiple tab filters
-bird news --sports --entertainment -n 20
-
-# JSON output
-bird news --json -n 5
-bird news --json-full --ai-only -n 10  # includes raw API response
-```
-
-Tab options (can be combined):
-- `--for-you` — Fetch from For You tab only
-- `--news-only` — Fetch from News tab only
-- `--sports` — Fetch from Sports tab only
-- `--entertainment` — Fetch from Entertainment tab only
-- `--trending-only` — Fetch from Trending tab only
-
-By default, the command fetches from For You, News, Sports, and Entertainment tabs (Trending excluded to reduce noise). Headlines are automatically deduplicated across tabs.
-
-## Library
-
-`bird` can be used as a library (same GraphQL client as the CLI):
-
-```ts
-import { TwitterClient, resolveCredentials } from '@steipete/bird';
-
-const { cookies } = await resolveCredentials({ cookieSource: 'safari' });
-const client = new TwitterClient({ cookies });
-
-// Search for tweets
-const searchResult = await client.search('from:steipete', 50);
-
-// Fetch news and trending topics from all tabs (default: For You, News, Sports, Entertainment)
-const newsResult = await client.getNews(10, { aiOnly: true });
-
-// Fetch from specific tabs with related tweets
-const sportsNews = await client.getNews(10, {
-  aiOnly: true,
-  withTweets: true,
-  tabs: ['sports', 'entertainment']
-});
-```
-
-Account details (About profile):
-
-```ts
-const aboutResult = await client.getUserAboutAccount('steipete');
-if (aboutResult.success && aboutResult.aboutProfile) {
-  console.log(aboutResult.aboutProfile.accountBasedIn);
-}
-```
-
-Fields:
-- `accountBasedIn`
-- `source`
-- `createdCountryAccurate`
-- `locationAccurate`
-- `learnMoreUrl`
-
-## Commands
-
-- `bird tweet "<text>"` — post a new tweet.
-- `bird reply <tweet-id-or-url> "<text>"` — reply to a tweet using its ID or URL.
-- `bird help [command]` — show help (or help for a subcommand).
-- `bird query-ids [--fresh] [--json]` — inspect or refresh cached GraphQL query IDs.
-- `bird home [-n count] [--following] [--json] [--json-full]` — fetch your home timeline (For You) or Following feed.
-- `bird read <tweet-id-or-url> [--json]` — fetch tweet content as text or JSON.
-- `bird <tweet-id-or-url> [--json]` — shorthand for `read` when only a URL or ID is provided.
-- `bird replies <tweet-id-or-url> [--all] [--max-pages n] [--cursor string] [--delay ms] [--json]` — list replies to a tweet.
-- `bird thread <tweet-id-or-url> [--all] [--max-pages n] [--cursor string] [--delay ms] [--json]` — show the full conversation thread.
-- `bird search "<query>" [-n count] [--all] [--max-pages n] [--cursor string] [--json]` — search for tweets matching a query; `--max-pages` requires `--all` or `--cursor`.
-- `bird mentions [-n count] [--user @handle] [--json]` — find tweets mentioning a user (defaults to the authenticated user).
-- `bird user-tweets <@handle> [-n count] [--cursor string] [--max-pages n] [--delay ms] [--json]` — get tweets from a user's profile timeline.
-- `bird bookmarks [-n count] [--folder-id id] [--all] [--max-pages n] [--cursor string] [--expand-root-only] [--author-chain] [--author-only] [--full-chain-only] [--include-ancestor-branches] [--include-parent] [--thread-meta] [--sort-chronological] [--json]` — list your bookmarked tweets (or a specific bookmark folder); expansion flags control thread context; `--max-pages` requires `--all` or `--cursor`.
-- `bird unbookmark <tweet-id-or-url...>` — remove one or more bookmarks by tweet ID or URL.
-- `bird likes [-n count] [--all] [--max-pages n] [--cursor string] [--json] [--json-full]` — list your liked tweets; `--max-pages` requires `--all` or `--cursor`.
-- `bird news [-n count] [--ai-only] [--with-tweets] [--tweets-per-item n] [--for-you] [--news-only] [--sports] [--entertainment] [--trending-only] [--json]` — fetch news and trending topics from X's Explore tabs.
-- `bird trending` — alias for `news` command.
-- `bird lists [--member-of] [-n count] [--json]` — list your lists (owned or memberships).
-- `bird list-timeline <list-id-or-url> [-n count] [--all] [--max-pages n] [--cursor string] [--json]` — get tweets from a list timeline; `--max-pages` implies `--all`.
-- `bird following [--user <userId>] [-n count] [--cursor string] [--all] [--max-pages n] [--json]` — list users that you (or another user) follow; `--max-pages` requires `--all`.
-- `bird followers [--user <userId>] [-n count] [--cursor string] [--all] [--max-pages n] [--json]` — list users that follow you (or another user); `--max-pages` requires `--all`.
-- `bird about <@handle> [--json]` — get account origin and location information for a user.
-- `bird whoami` — print which Twitter account your cookies belong to.
-- `bird check` — show which credentials are available and where they were sourced from.
-
-Bookmarks flags:
-- `--expand-root-only`: expand threads only when the bookmark is a root tweet.
-- `--author-chain`: keep only the bookmarked author's connected self-reply chain.
-- `--author-only`: include all tweets from the bookmarked author within the thread.
-- `--full-chain-only`: keep the entire reply chain connected to the bookmarked tweet (all authors).
-- `--include-ancestor-branches`: include sibling branches for ancestors when using `--full-chain-only`.
-- `--include-parent`: include the direct parent tweet for non-root bookmarks.
-- `--thread-meta`: add thread metadata fields to each tweet.
-- `--sort-chronological`: sort output globally oldest to newest (default preserves bookmark order).
-
-Global options:
-- `--auth-token <token>`: set the `auth_token` cookie manually.
-- `--ct0 <token>`: set the `ct0` cookie manually.
-- `--cookie-source <safari|chrome|firefox>`: choose browser cookie source (repeatable; order matters).
-- `--chrome-profile <name>`: Chrome profile name for cookie extraction (e.g., `Default`, `Profile 2`).
-- `--chrome-profile-dir <path>`: Chrome/Chromium profile directory or cookie DB path for cookie extraction.
-- `--firefox-profile <name>`: Firefox profile for cookie extraction.
-- `--cookie-timeout <ms>`: cookie extraction timeout for keychain/OS helpers (milliseconds).
-- `--timeout <ms>`: abort requests after the given timeout (milliseconds).
-- `--quote-depth <n>`: max quoted tweet depth in JSON output (default: 1; 0 disables).
-- `--plain`: stable output (no emoji, no color).
-- `--no-emoji`: disable emoji output.
-- `--no-color`: disable ANSI colors (or set `NO_COLOR=1`).
-- `--media <path>`: attach media file (repeatable, up to 4 images or 1 video).
-- `--alt <text>`: alt text for the corresponding `--media` (repeatable).
-
-## Authentication (GraphQL)
-
-GraphQL mode uses your existing X/Twitter web session (no password prompt). It sends requests to internal
-X endpoints and authenticates via cookies (`auth_token`, `ct0`).
-
-Write operations:
-- `tweet`/`reply` primarily use GraphQL (`CreateTweet`).
-- If GraphQL returns error `226` (“automated request”), `bird` falls back to the legacy `statuses/update.json` endpoint.
-
-`bird` resolves credentials in this order:
-
-1. CLI flags: `--auth-token`, `--ct0`
-2. Environment variables: `AUTH_TOKEN`, `CT0` (fallback: `TWITTER_AUTH_TOKEN`, `TWITTER_CT0`)
-3. Browser cookies via `@steipete/sweet-cookie` (override via `--cookie-source` order)
-
-Browser cookie sources:
-- Safari: `~/Library/Cookies/Cookies.binarycookies` (fallback: `~/Library/Containers/com.apple.Safari/Data/Library/Cookies/Cookies.binarycookies`)
-- Chrome: `~/Library/Application Support/Google/Chrome/<Profile>/Cookies`
-- Firefox: `~/Library/Application Support/Firefox/Profiles/<profile>/cookies.sqlite`
-  - For Chromium variants (Arc/Brave/etc), pass a profile directory or cookie DB via `--chrome-profile-dir`.
-
-## Config (JSON5)
-
-Config precedence: CLI flags > env vars > project config > global config.
-
-- Global: `~/.config/bird/config.json5`
-- Project: `./.birdrc.json5`
-
-Example `~/.config/bird/config.json5`:
-
-```json5
-{
-  // Cookie source order for browser extraction (string or array)
-  cookieSource: ["firefox", "safari"],
-  chromeProfileDir: "/path/to/Chromium/Profile",
-  firefoxProfile: "default-release",
-  cookieTimeoutMs: 30000,
-  timeoutMs: 20000,
-  quoteDepth: 1
-}
-```
-
-Environment shortcuts:
-- `BIRD_TIMEOUT_MS`
-- `BIRD_COOKIE_TIMEOUT_MS`
-- `BIRD_QUOTE_DEPTH`
-
-## Output
-
-- `--json` prints raw tweet objects for read/replies/thread/search/mentions/user-tweets/bookmarks/likes.
-- When using `--json` with pagination (`--all`, `--cursor`, `--max-pages`, or for `user-tweets` when `-n > 20`), output is `{ tweets, nextCursor }`.
-- `read` returns full text for Notes and Articles when present.
-- Use `--plain` for stable, script-friendly output (no emoji, no color).
-
-### JSON Schema
-
-When using `--json`, tweet objects include:
-
-| Field | Type | Description |
-|-------|------|-------------|
-| `id` | string | Tweet ID |
-| `text` | string | Full tweet text (includes Note/Article content when present) |
-| `author` | object | `{ username, name }` |
-| `authorId` | string? | Author's user ID |
-| `createdAt` | string | Timestamp |
-| `replyCount` | number | Number of replies |
-| `retweetCount` | number | Number of retweets |
-| `likeCount` | number | Number of likes |
-| `conversationId` | string | Thread conversation ID |
-| `inReplyToStatusId` | string? | Parent tweet ID (present if this is a reply) |
-| `quotedTweet` | object? | Embedded quote tweet (same schema; depth controlled by `--quote-depth`) |
-
-When using `--json` with `following`/`followers`, user objects include:
-
-| Field | Type | Description |
-|-------|------|-------------|
-| `id` | string | User ID |
-| `username` | string | Username/handle |
-| `name` | string | Display name |
-| `description` | string? | User bio |
-| `followersCount` | number? | Followers count |
-| `followingCount` | number? | Following count |
-| `isBlueVerified` | boolean? | Blue verified flag |
- | `profileImageUrl` | string? | Profile image URL |
- | `createdAt` | string? | Account creation timestamp |
-
-When using `--json` with `news`/`trending`, news objects include:
-
-| Field | Type | Description |
-|-------|------|-------------|
-| `id` | string | Unique identifier for the news item |
-| `headline` | string | News headline or trend title |
-| `category` | string? | Category (e.g., "AI · Technology", "Trending", "News") |
-| `timeAgo` | string? | Relative time (e.g., "2h ago") |
-| `postCount` | number? | Number of posts |
-| `description` | string? | Item description |
-| `url` | string? | URL to the trend or news article |
-| `tweets` | array? | Related tweets (only when `--with-tweets` is used) |
-| `_raw` | object? | Raw API response (only when `--json-full` is used) |
-
-
-## Query IDs (GraphQL)
-
-X rotates GraphQL “query IDs” frequently. Each GraphQL operation is addressed as:
-
-- `operationName` (e.g. `TweetDetail`, `CreateTweet`)
-- `queryId` (rotating ID baked into X’s web client bundles)
-
-`bird` ships with a baseline mapping in `src/lib/query-ids.json` (copied into `dist/` on build). At runtime,
-it can refresh that mapping by scraping X’s public web client bundles and caching the result on disk.
-
-Runtime cache:
-- Default path: `~/.config/bird/query-ids-cache.json`
-- Override path: `BIRD_QUERY_IDS_CACHE=/path/to/file.json`
-- TTL: 24h (stale cache is still used, but marked “not fresh”)
-
-Auto-recovery:
-- On GraphQL `404` (query ID invalid), `bird` forces a refresh once and retries.
-- For `TweetDetail`/`SearchTimeline`, `bird` also rotates through a small set of known fallback IDs to reduce
-  breakage while refreshing.
-
-Refresh on demand:
-
-```bash
-bird query-ids --fresh
-```
-
-Exit codes:
-- `0`: success
-- `1`: runtime error (network/auth/etc)
-- `2`: invalid usage/validation (e.g. bad `--user` handle)
-
-## Version
-
-`bird --version` prints `package.json` version plus current git sha when available, e.g. `0.3.0 (3df7969b)`.
-
-## Media uploads
-
-- Attach media with `--media` (repeatable) and optional `--alt` per item.
-- Up to 4 images/GIFs, or 1 video (no mixing). Supported: jpg, jpeg, png, webp, gif, mp4, mov.
-- Images/GIFs + 1 video supported (uploads via Twitter legacy upload endpoint + cookies; video may take longer to process).
-
-Example:
-
-```bash
-bird tweet "hi" --media img.png --alt "desc"
-```
-
-## Development
-
-```bash
-cd ~/Projects/bird
-pnpm install
-pnpm run build       # dist/ + bun binary
-pnpm run build:dist  # dist/ only
-pnpm run build:binary
-
-pnpm run dev tweet "Test"
-pnpm run dev -- --plain check
-pnpm test
-pnpm run lint
-```
-
-## Notes
-
-- GraphQL uses internal X endpoints and can be rate limited (429).
-- Query IDs rotate; refresh at runtime with `bird query-ids --fresh` (or update the baked baseline via `pnpm run graphql:update`).

vendor/package/dist/cli.d.ts

@@ -1,12 +0,0 @@
-#!/usr/bin/env node
-/**
- * bird - CLI tool for posting tweets and replies
- *
- * Usage:
- *   bird tweet "Hello world!"
- *   bird reply <tweet-id> "This is a reply"
- *   bird reply <tweet-url> "This is a reply"
- *   bird read <tweet-id-or-url>
- */
-export {};
-//# sourceMappingURL=cli.d.ts.map

vendor/package/dist/cli.d.ts.map

@@ -1 +0,0 @@
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vendor/package/dist/cli.js

@@ -1,29 +0,0 @@
-#!/usr/bin/env node
-/**
- * bird - CLI tool for posting tweets and replies
- *
- * Usage:
- *   bird tweet "Hello world!"
- *   bird reply <tweet-id> "This is a reply"
- *   bird reply <tweet-url> "This is a reply"
- *   bird read <tweet-id-or-url>
- */
-import { createProgram, KNOWN_COMMANDS } from './cli/program.js';
-import { createCliContext } from './cli/shared.js';
-import { resolveCliInvocation } from './lib/cli-args.js';
-const rawArgs = process.argv.slice(2);
-const normalizedArgs = rawArgs[0] === '--' ? rawArgs.slice(1) : rawArgs;
-const ctx = createCliContext(normalizedArgs);
-const program = createProgram(ctx);
-const { argv, showHelp } = resolveCliInvocation(normalizedArgs, KNOWN_COMMANDS);
-if (showHelp) {
-    program.outputHelp();
-    process.exit(0);
-}
-if (argv) {
-    program.parse(argv);
-}
-else {
-    program.parse(['node', 'bird', ...normalizedArgs]);
-}
-//# sourceMappingURL=cli.js.map

vendor/package/dist/cli.js.map

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vendor/package/dist/cli/pagination.d.ts

@@ -1,35 +0,0 @@
-export type PaginationCmdOpts = {
-    all?: boolean;
-    maxPages?: string;
-    cursor?: string;
-    delay?: string;
-};
-export declare function parsePositiveIntFlag(raw: string | undefined, flagName: string): {
-    ok: true;
-    value: number | undefined;
-} | {
-    ok: false;
-    error: string;
-};
-export declare function parseNonNegativeIntFlag(raw: string | undefined, flagName: string, defaultValue: number): {
-    ok: true;
-    value: number;
-} | {
-    ok: false;
-    error: string;
-};
-export declare function parsePaginationFlags(cmdOpts: PaginationCmdOpts, opts?: {
-    maxPagesImpliesPagination?: boolean;
-    defaultDelayMs?: number;
-    includeDelay?: boolean;
-}): {
-    ok: true;
-    usePagination: boolean;
-    maxPages?: number;
-    cursor?: string;
-    pageDelayMs?: number;
-} | {
-    ok: false;
-    error: string;
-};
-//# sourceMappingURL=pagination.d.ts.map

vendor/package/dist/cli/pagination.d.ts.map

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vendor/package/dist/cli/pagination.js

@@ -1,43 +0,0 @@
-export function parsePositiveIntFlag(raw, flagName) {
-    if (raw === undefined) {
-        return { ok: true, value: undefined };
-    }
-    const value = Number.parseInt(raw, 10);
-    if (!Number.isFinite(value) || value <= 0) {
-        return { ok: false, error: `Invalid ${flagName}. Expected a positive integer.` };
-    }
-    return { ok: true, value };
-}
-export function parseNonNegativeIntFlag(raw, flagName, defaultValue) {
-    const value = Number.parseInt(raw ?? String(defaultValue), 10);
-    if (!Number.isFinite(value) || value < 0) {
-        return { ok: false, error: `Invalid ${flagName}. Expected a non-negative integer.` };
-    }
-    return { ok: true, value };
-}
-export function parsePaginationFlags(cmdOpts, opts) {
-    const maxPagesImpliesPagination = opts?.maxPagesImpliesPagination ?? false;
-    const includeDelay = opts?.includeDelay ?? false;
-    const defaultDelayMs = opts?.defaultDelayMs ?? 1000;
-    const maxPages = parsePositiveIntFlag(cmdOpts.maxPages, '--max-pages');
-    if (!maxPages.ok) {
-        return maxPages;
-    }
-    const usePagination = Boolean(cmdOpts.all || cmdOpts.cursor || (maxPagesImpliesPagination && maxPages.value !== undefined));
-    let pageDelayMs;
-    if (includeDelay) {
-        const delay = parseNonNegativeIntFlag(cmdOpts.delay, '--delay', defaultDelayMs);
-        if (!delay.ok) {
-            return delay;
-        }
-        pageDelayMs = delay.value;
-    }
-    return {
-        ok: true,
-        usePagination,
-        maxPages: maxPages.value,
-        cursor: cmdOpts.cursor,
-        pageDelayMs,
-    };
-}
-//# sourceMappingURL=pagination.js.map

vendor/package/dist/cli/pagination.js.map

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vendor/package/dist/cli/program.d.ts

@@ -1,5 +0,0 @@
-import { Command } from 'commander';
-import { type CliContext } from './shared.js';
-export declare const KNOWN_COMMANDS: Set<string>;
-export declare function createProgram(ctx: CliContext): Command;
-//# sourceMappingURL=program.d.ts.map

vendor/package/dist/cli/program.d.ts.map

@@ -1 +0,0 @@
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vendor/package/dist/cli/program.js

@@ -1,113 +0,0 @@
-import { Command } from 'commander';
-import { registerBookmarksCommand } from '../commands/bookmarks.js';
-import { registerCheckCommand } from '../commands/check.js';
-import { registerFollowCommands } from '../commands/follow.js';
-import { registerHelpCommand } from '../commands/help.js';
-import { registerHomeCommand } from '../commands/home.js';
-import { registerListsCommand } from '../commands/lists.js';
-import { registerNewsCommand } from '../commands/news.js';
-import { registerPostCommands } from '../commands/post.js';
-import { registerQueryIdsCommand } from '../commands/query-ids.js';
-import { registerReadCommands } from '../commands/read.js';
-import { registerSearchCommands } from '../commands/search.js';
-import { registerUnbookmarkCommand } from '../commands/unbookmark.js';
-import { registerUserTweetsCommand } from '../commands/user-tweets.js';
-import { registerUserCommands } from '../commands/users.js';
-import { getCliVersion } from '../lib/version.js';
-import { collectCookieSource } from './shared.js';
-export const KNOWN_COMMANDS = new Set([
-    'tweet',
-    'reply',
-    'query-ids',
-    'read',
-    'replies',
-    'thread',
-    'search',
-    'mentions',
-    'bookmarks',
-    'unbookmark',
-    'follow',
-    'unfollow',
-    'following',
-    'followers',
-    'likes',
-    'lists',
-    'list-timeline',
-    'home',
-    'user-tweets',
-    'news',
-    'trending',
-    'help',
-    'whoami',
-    'check',
-]);
-export function createProgram(ctx) {
-    const program = new Command();
-    program.configureHelp({
-        showGlobalOptions: true,
-        styleTitle: (t) => ctx.colors.section(t),
-        styleUsage: (t) => ctx.colors.description(t),
-        styleCommandText: (t) => ctx.colors.command(t),
-        styleCommandDescription: (t) => ctx.colors.muted(t),
-        styleOptionTerm: (t) => ctx.colors.option(t),
-        styleOptionText: (t) => ctx.colors.option(t),
-        styleOptionDescription: (t) => ctx.colors.muted(t),
-        styleArgumentTerm: (t) => ctx.colors.argument(t),
-        styleArgumentText: (t) => ctx.colors.argument(t),
-        styleArgumentDescription: (t) => ctx.colors.muted(t),
-        styleSubcommandTerm: (t) => ctx.colors.command(t),
-        styleSubcommandText: (t) => ctx.colors.command(t),
-        styleSubcommandDescription: (t) => ctx.colors.muted(t),
-        styleDescriptionText: (t) => ctx.colors.muted(t),
-    });
-    const collect = (value, previous = []) => {
-        previous.push(value);
-        return previous;
-    };
-    program.addHelpText('beforeAll', () => `${ctx.colors.banner('bird')} ${ctx.colors.muted(getCliVersion())} ${ctx.colors.subtitle('— fast X CLI for tweeting, replying, and reading')}`);
-    program.name('bird').description('Post tweets and replies via Twitter/X GraphQL API').version(getCliVersion());
-    const formatExample = (command, description) => `${ctx.colors.command(`  ${command}`)}\n${ctx.colors.muted(`    ${description}`)}`;
-    program.addHelpText('afterAll', () => `\n${ctx.colors.section('Examples')}\n${[
-        formatExample('bird whoami', 'Show the logged-in account via GraphQL cookies'),
-        formatExample('bird --firefox-profile default-release whoami', 'Use Firefox profile cookies'),
-        formatExample('bird tweet "hello from bird"', 'Send a tweet'),
-        formatExample('bird 1234567890123456789 --json', 'Read a tweet (ID or URL shorthand for `read`) and print JSON'),
-    ].join('\n\n')}\n\n${ctx.colors.section('Shortcuts')}\n${[
-        formatExample('bird <tweet-id-or-url> [--json]', 'Shorthand for `bird read <tweet-id-or-url>`'),
-    ].join('\n\n')}\n\n${ctx.colors.section('JSON Output')}\n${ctx.colors.muted(`  Add ${ctx.colors.option('--json')} to: read, replies, thread, search, mentions, bookmarks, likes, following, followers, about, lists, list-timeline, user-tweets, query-ids`)}\n${ctx.colors.muted(`  Add ${ctx.colors.option('--json-full')} to include raw API response in ${ctx.colors.argument('_raw')} field (tweet commands only)`)}\n${ctx.colors.muted(`  (Run ${ctx.colors.command('bird <command> --help')} to see per-command flags.)`)}`);
-    program.addHelpText('afterAll', () => `\n\n${ctx.colors.section('Config')}\n${ctx.colors.muted(`  Reads ${ctx.colors.argument('~/.config/bird/config.json5')} and ${ctx.colors.argument('./.birdrc.json5')} (JSON5)`)}\n${ctx.colors.muted(`  Supports: chromeProfile, chromeProfileDir, firefoxProfile, cookieSource, cookieTimeoutMs, timeoutMs, quoteDepth`)}\n\n${ctx.colors.section('Env')}\n${ctx.colors.muted(`  ${ctx.colors.option('NO_COLOR')}, ${ctx.colors.option('BIRD_TIMEOUT_MS')}, ${ctx.colors.option('BIRD_COOKIE_TIMEOUT_MS')}, ${ctx.colors.option('BIRD_QUOTE_DEPTH')}`)}`);
-    program
-        .option('--auth-token <token>', 'Twitter auth_token cookie')
-        .option('--ct0 <token>', 'Twitter ct0 cookie')
-        .option('--chrome-profile <name>', 'Chrome profile name for cookie extraction', ctx.config.chromeProfile)
-        .option('--chrome-profile-dir <path>', 'Chrome/Chromium profile directory or cookie DB path for cookie extraction', ctx.config.chromeProfileDir)
-        .option('--firefox-profile <name>', 'Firefox profile name for cookie extraction', ctx.config.firefoxProfile)
-        .option('--cookie-timeout <ms>', 'Cookie extraction timeout in milliseconds (keychain/OS helpers)')
-        .option('--cookie-source <source>', 'Cookie source for browser cookie extraction (repeatable)', collectCookieSource)
-        .option('--media <path>', 'Attach media file (repeatable, up to 4 images or 1 video)', collect)
-        .option('--alt <text>', 'Alt text for the corresponding --media (repeatable)', collect)
-        .option('--timeout <ms>', 'Request timeout in milliseconds')
-        .option('--quote-depth <depth>', 'Max quoted tweet depth (default: 1; 0 disables)')
-        .option('--plain', 'Plain output (stable, no emoji, no color)')
-        .option('--no-emoji', 'Disable emoji output')
-        .option('--no-color', 'Disable ANSI colors (or set NO_COLOR)');
-    program.hook('preAction', (_thisCommand, actionCommand) => {
-        ctx.applyOutputFromCommand(actionCommand);
-    });
-    registerHelpCommand(program, ctx);
-    registerQueryIdsCommand(program, ctx);
-    registerPostCommands(program, ctx);
-    registerReadCommands(program, ctx);
-    registerSearchCommands(program, ctx);
-    registerBookmarksCommand(program, ctx);
-    registerUnbookmarkCommand(program, ctx);
-    registerFollowCommands(program, ctx);
-    registerListsCommand(program, ctx);
-    registerHomeCommand(program, ctx);
-    registerUserCommands(program, ctx);
-    registerUserTweetsCommand(program, ctx);
-    registerNewsCommand(program, ctx);
-    registerCheckCommand(program, ctx);
-    return program;
-}
-//# sourceMappingURL=program.js.map

vendor/package/dist/cli/shared.d.ts

@@ -1,77 +0,0 @@
-import type { Command } from 'commander';
-import { type CookieSource, resolveCredentials } from '../lib/cookies.js';
-import { labelPrefix, type OutputConfig, statusPrefix } from '../lib/output.js';
-import type { TweetData } from '../lib/twitter-client.js';
-export type BirdConfig = {
-    chromeProfile?: string;
-    chromeProfileDir?: string;
-    firefoxProfile?: string;
-    cookieSource?: CookieSource | CookieSource[];
-    cookieTimeoutMs?: number;
-    timeoutMs?: number;
-    quoteDepth?: number;
-};
-export type MediaSpec = {
-    path: string;
-    alt?: string;
-    mime: string;
-    buffer: Buffer;
-};
-export type CliContext = {
-    isTty: boolean;
-    getOutput: () => OutputConfig;
-    colors: {
-        banner: (t: string) => string;
-        subtitle: (t: string) => string;
-        section: (t: string) => string;
-        bullet: (t: string) => string;
-        command: (t: string) => string;
-        option: (t: string) => string;
-        argument: (t: string) => string;
-        description: (t: string) => string;
-        muted: (t: string) => string;
-        accent: (t: string) => string;
-    };
-    p: (kind: Parameters<typeof statusPrefix>[0]) => string;
-    l: (kind: Parameters<typeof labelPrefix>[0]) => string;
-    config: BirdConfig;
-    applyOutputFromCommand: (command: Command) => void;
-    resolveTimeoutFromOptions: (options: {
-        timeout?: string | number;
-    }) => number | undefined;
-    resolveQuoteDepthFromOptions: (options: {
-        quoteDepth?: string | number;
-    }) => number | undefined;
-    resolveCredentialsFromOptions: (opts: CredentialsOptions) => ReturnType<typeof resolveCredentials>;
-    loadMedia: (opts: {
-        media: string[];
-        alts: string[];
-    }) => MediaSpec[];
-    printTweets: (tweets: TweetData[], opts?: {
-        json?: boolean;
-        emptyMessage?: string;
-        showSeparator?: boolean;
-    }) => void;
-    printTweetsResult: (result: {
-        tweets?: TweetData[];
-        nextCursor?: string;
-    }, opts: {
-        json: boolean;
-        usePagination: boolean;
-        emptyMessage: string;
-    }) => void;
-    extractTweetId: (tweetIdOrUrl: string) => string;
-};
-export declare const collectCookieSource: (value: string, previous?: CookieSource[]) => CookieSource[];
-type CredentialsOptions = {
-    authToken?: string;
-    ct0?: string;
-    chromeProfile?: string;
-    chromeProfileDir?: string;
-    firefoxProfile?: string;
-    cookieSource?: CookieSource[];
-    cookieTimeout?: string | number;
-};
-export declare function createCliContext(normalizedArgs: string[], env?: NodeJS.ProcessEnv): CliContext;
-export {};
-//# sourceMappingURL=shared.d.ts.map

vendor/package/dist/cli/shared.d.ts.map

@@ -1 +0,0 @@
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vendor/package/dist/cli/shared.js

@@ -1,327 +0,0 @@
-import { existsSync, readFileSync } from 'node:fs';
-import { homedir } from 'node:os';
-import { join } from 'node:path';
-import JSON5 from 'json5';
-import kleur from 'kleur';
-import { resolveCredentials } from '../lib/cookies.js';
-import { extractTweetId } from '../lib/extract-tweet-id.js';
-import { hyperlink, labelPrefix, resolveOutputConfigFromArgv, resolveOutputConfigFromCommander, statusPrefix, } from '../lib/output.js';
-const COOKIE_SOURCES = ['safari', 'chrome', 'firefox'];
-function parseCookieSource(value) {
-    const normalized = value.trim().toLowerCase();
-    if (normalized === 'safari' || normalized === 'chrome' || normalized === 'firefox') {
-        return normalized;
-    }
-    throw new Error(`Invalid --cookie-source "${value}". Allowed: safari, chrome, firefox.`);
-}
-export const collectCookieSource = (value, previous = []) => {
-    previous.push(parseCookieSource(value));
-    return previous;
-};
-function resolveCookieSourceOrder(input) {
-    if (typeof input === 'string') {
-        return [parseCookieSource(input)];
-    }
-    if (Array.isArray(input)) {
-        const result = [];
-        for (const entry of input) {
-            if (typeof entry !== 'string') {
-                continue;
-            }
-            result.push(parseCookieSource(entry));
-        }
-        return result.length > 0 ? result : undefined;
-    }
-    return undefined;
-}
-function resolveTimeoutMs(...values) {
-    for (const value of values) {
-        if (value === undefined || value === null || value === '') {
-            continue;
-        }
-        const parsed = typeof value === 'number' ? value : Number(value);
-        if (Number.isFinite(parsed) && parsed > 0) {
-            return parsed;
-        }
-    }
-    return undefined;
-}
-function resolveQuoteDepth(...values) {
-    for (const value of values) {
-        if (value === undefined || value === null || value === '') {
-            continue;
-        }
-        const parsed = typeof value === 'number' ? value : Number.parseInt(value, 10);
-        if (Number.isFinite(parsed) && parsed >= 0) {
-            return Math.floor(parsed);
-        }
-    }
-    return undefined;
-}
-function detectMime(path) {
-    const ext = path.toLowerCase();
-    if (ext.endsWith('.jpg') || ext.endsWith('.jpeg')) {
-        return 'image/jpeg';
-    }
-    if (ext.endsWith('.png')) {
-        return 'image/png';
-    }
-    if (ext.endsWith('.webp')) {
-        return 'image/webp';
-    }
-    if (ext.endsWith('.gif')) {
-        return 'image/gif';
-    }
-    if (ext.endsWith('.mp4') || ext.endsWith('.m4v')) {
-        return 'video/mp4';
-    }
-    if (ext.endsWith('.mov')) {
-        return 'video/quicktime';
-    }
-    return null;
-}
-function readConfigFile(path, warn) {
-    if (!existsSync(path)) {
-        return {};
-    }
-    try {
-        const raw = readFileSync(path, 'utf8');
-        const parsed = JSON5.parse(raw);
-        return parsed ?? {};
-    }
-    catch (error) {
-        warn(`Failed to parse config at ${path}: ${error instanceof Error ? error.message : String(error)}`);
-        return {};
-    }
-}
-function loadConfig(warn) {
-    const globalPath = join(homedir(), '.config', 'bird', 'config.json5');
-    const localPath = join(process.cwd(), '.birdrc.json5');
-    return {
-        ...readConfigFile(globalPath, warn),
-        ...readConfigFile(localPath, warn),
-    };
-}
-export function createCliContext(normalizedArgs, env = process.env) {
-    const isTty = process.stdout.isTTY;
-    let output = resolveOutputConfigFromArgv(normalizedArgs, env, isTty);
-    kleur.enabled = output.color;
-    const wrap = (styler) => (text) => isTty ? styler(text) : text;
-    const colors = {
-        banner: wrap((t) => kleur.bold().blue(t)),
-        subtitle: wrap((t) => kleur.dim(t)),
-        section: wrap((t) => kleur.bold().white(t)),
-        bullet: wrap((t) => kleur.blue(t)),
-        command: wrap((t) => kleur.bold().cyan(t)),
-        option: wrap((t) => kleur.cyan(t)),
-        argument: wrap((t) => kleur.magenta(t)),
-        description: wrap((t) => kleur.white(t)),
-        muted: wrap((t) => kleur.gray(t)),
-        accent: wrap((t) => kleur.green(t)),
-    };
-    const p = (kind) => {
-        const prefix = statusPrefix(kind, output);
-        if (output.plain || !output.color) {
-            return prefix;
-        }
-        if (kind === 'ok') {
-            return kleur.green(prefix);
-        }
-        if (kind === 'warn') {
-            return kleur.yellow(prefix);
-        }
-        if (kind === 'err') {
-            return kleur.red(prefix);
-        }
-        if (kind === 'info') {
-            return kleur.cyan(prefix);
-        }
-        return kleur.gray(prefix);
-    };
-    const l = (kind) => {
-        const prefix = labelPrefix(kind, output);
-        if (output.plain || !output.color) {
-            return prefix;
-        }
-        if (kind === 'url') {
-            return kleur.cyan(prefix);
-        }
-        if (kind === 'date') {
-            return kleur.magenta(prefix);
-        }
-        if (kind === 'source') {
-            return kleur.gray(prefix);
-        }
-        if (kind === 'engine') {
-            return kleur.blue(prefix);
-        }
-        if (kind === 'credentials') {
-            return kleur.yellow(prefix);
-        }
-        if (kind === 'user') {
-            return kleur.cyan(prefix);
-        }
-        if (kind === 'userId') {
-            return kleur.magenta(prefix);
-        }
-        if (kind === 'email') {
-            return kleur.green(prefix);
-        }
-        return kleur.gray(prefix);
-    };
-    const config = loadConfig((message) => {
-        console.error(colors.muted(`${p('warn')}${message}`));
-    });
-    function applyOutputFromCommand(command) {
-        const opts = command.optsWithGlobals();
-        output = resolveOutputConfigFromCommander(opts, env, isTty);
-        kleur.enabled = output.color;
-    }
-    function resolveTimeoutFromOptions(options) {
-        return resolveTimeoutMs(options.timeout, config.timeoutMs, env.BIRD_TIMEOUT_MS);
-    }
-    function resolveCookieTimeoutFromOptions(options) {
-        return resolveTimeoutMs(options.cookieTimeout, config.cookieTimeoutMs, env.BIRD_COOKIE_TIMEOUT_MS);
-    }
-    function resolveQuoteDepthFromOptions(options) {
-        return resolveQuoteDepth(options.quoteDepth, config.quoteDepth, env.BIRD_QUOTE_DEPTH);
-    }
-    function resolveCredentialsFromOptions(opts) {
-        const cookieSource = opts.cookieSource?.length
-            ? opts.cookieSource
-            : (resolveCookieSourceOrder(config.cookieSource) ?? COOKIE_SOURCES);
-        const chromeProfile = opts.chromeProfileDir || opts.chromeProfile || config.chromeProfileDir || config.chromeProfile;
-        return resolveCredentials({
-            authToken: opts.authToken,
-            ct0: opts.ct0,
-            cookieSource,
-            chromeProfile,
-            firefoxProfile: opts.firefoxProfile || config.firefoxProfile,
-            cookieTimeoutMs: resolveCookieTimeoutFromOptions(opts),
-        });
-    }
-    function loadMedia(opts) {
-        if (opts.media.length === 0) {
-            return [];
-        }
-        const specs = [];
-        for (const [index, path] of opts.media.entries()) {
-            const mime = detectMime(path);
-            if (!mime) {
-                throw new Error(`Unsupported media type for ${path}. Supported: jpg, jpeg, png, webp, gif, mp4, mov`);
-            }
-            const buffer = readFileSync(path);
-            specs.push({ path, mime, buffer, alt: opts.alts[index] });
-        }
-        const videoCount = specs.filter((m) => m.mime.startsWith('video/')).length;
-        if (videoCount > 1) {
-            throw new Error('Only one video can be attached');
-        }
-        if (videoCount === 1 && specs.length > 1) {
-            throw new Error('Video cannot be combined with other media');
-        }
-        if (specs.length > 4) {
-            throw new Error('Maximum 4 media attachments');
-        }
-        return specs;
-    }
-    function printTweets(tweets, opts = {}) {
-        if (opts.json) {
-            console.log(JSON.stringify(tweets, null, 2));
-            return;
-        }
-        if (tweets.length === 0) {
-            console.log(opts.emptyMessage ?? 'No tweets found.');
-            return;
-        }
-        const useEmoji = output.emoji && !output.plain;
-        const articleLabel = useEmoji ? '📰' : 'Article:';
-        const mediaLabel = (type) => {
-            if (useEmoji) {
-                return type === 'video' ? '🎬' : type === 'animated_gif' ? '🔄' : '🖼️';
-            }
-            return type === 'video' ? 'VIDEO:' : type === 'animated_gif' ? 'GIF:' : 'PHOTO:';
-        };
-        const quotePrefix = useEmoji ? { top: '┌─', mid: '│ ', bot: '└─' } : { top: '> ', mid: '> ', bot: '> ' };
-        for (const tweet of tweets) {
-            console.log(`\n@${tweet.author.username} (${tweet.author.name}):`);
-            // Display tweet text, with article indicator if present
-            if (tweet.article) {
-                // Full body mode: text starts with article title (from extractArticleText)
-                // Preview mode: text is short tweet intro that doesn't start with title
-                const hasFullBody = tweet.text.startsWith(tweet.article.title);
-                if (hasFullBody) {
-                    console.log(`${articleLabel} ${tweet.text}`);
-                }
-                else {
-                    console.log(`${articleLabel} ${tweet.article.title}`);
-                    if (tweet.article.previewText) {
-                        console.log(`   ${tweet.article.previewText}`);
-                    }
-                }
-            }
-            else {
-                console.log(tweet.text);
-            }
-            // Display media attachments
-            if (tweet.media && tweet.media.length > 0) {
-                for (const m of tweet.media) {
-                    console.log(`${mediaLabel(m.type)} ${m.url}`);
-                }
-            }
-            // Display quoted tweet
-            if (tweet.quotedTweet) {
-                console.log(`${quotePrefix.top} QT @${tweet.quotedTweet.author.username}:`);
-                const qtText = tweet.quotedTweet.article
-                    ? `${articleLabel} ${tweet.quotedTweet.article.title}`
-                    : tweet.quotedTweet.text;
-                // Indent and truncate quoted tweet text
-                const maxLen = 280;
-                const truncated = qtText.length > maxLen ? `${qtText.slice(0, maxLen)}...` : qtText;
-                for (const line of truncated.split('\n').slice(0, 4)) {
-                    console.log(`${quotePrefix.mid}${line}`);
-                }
-                // Display quoted tweet media
-                if (tweet.quotedTweet.media && tweet.quotedTweet.media.length > 0) {
-                    for (const m of tweet.quotedTweet.media) {
-                        console.log(`${quotePrefix.mid}${mediaLabel(m.type)} ${m.url}`);
-                    }
-                }
-                console.log(`${quotePrefix.bot} https://x.com/${tweet.quotedTweet.author.username}/status/${tweet.quotedTweet.id}`);
-            }
-            if (tweet.createdAt) {
-                console.log(`${l('date')}${tweet.createdAt}`);
-            }
-            const tweetUrl = `https://x.com/${tweet.author.username}/status/${tweet.id}`;
-            console.log(`${l('url')}${hyperlink(tweetUrl, tweetUrl, output)}`);
-            if (opts.showSeparator ?? true) {
-                console.log('─'.repeat(50));
-            }
-        }
-    }
-    function printTweetsResult(result, opts) {
-        const tweets = result.tweets ?? [];
-        if (opts.json && opts.usePagination) {
-            console.log(JSON.stringify({ tweets, nextCursor: result.nextCursor ?? null }, null, 2));
-            return;
-        }
-        printTweets(tweets, { json: opts.json, emptyMessage: opts.emptyMessage });
-    }
-    return {
-        isTty,
-        getOutput: () => output,
-        colors,
-        p,
-        l,
-        config,
-        applyOutputFromCommand,
-        resolveTimeoutFromOptions,
-        resolveQuoteDepthFromOptions,
-        resolveCredentialsFromOptions,
-        loadMedia,
-        printTweets,
-        printTweetsResult,
-        extractTweetId,
-    };
-}
-//# sourceMappingURL=shared.js.map

vendor/package/dist/commands/bookmarks.d.ts

@@ -1,4 +0,0 @@
-import type { Command } from 'commander';
-import type { CliContext } from '../cli/shared.js';
-export declare function registerBookmarksCommand(program: Command, ctx: CliContext): void;
-//# sourceMappingURL=bookmarks.d.ts.map

vendor/package/dist/commands/bookmarks.d.ts.map

@@ -1 +0,0 @@
-{"version":3,"file":"bookmarks.d.ts","sourceRoot":"","sources":["../../src/commands/bookmarks.ts"],"names":[],"mappings":"AAAA,OAAO,KAAK,EAAE,OAAO,EAAE,MAAM,WAAW,CAAC;AAEzC,OAAO,KAAK,EAAE,UAAU,EAAE,MAAM,kBAAkB,CAAC;AAMnD,wBAAgB,wBAAwB,CAAC,OAAO,EAAE,OAAO,EAAE,GAAG,EAAE,UAAU,GAAG,IAAI,CAsOhF"}

vendor/package/dist/commands/bookmarks.js

@@ -1,189 +0,0 @@
-import { parsePaginationFlags } from '../cli/pagination.js';
-import { extractBookmarkFolderId } from '../lib/extract-bookmark-folder-id.js';
-import { addThreadMetadata, filterAuthorChain, filterAuthorOnly, filterFullChain } from '../lib/thread-filters.js';
-import { TwitterClient } from '../lib/twitter-client.js';
-export function registerBookmarksCommand(program, ctx) {
-    program
-        .command('bookmarks')
-        .description('Get your bookmarked tweets')
-        .option('-n, --count <number>', 'Number of bookmarks to fetch', '20')
-        .option('--folder-id <id>', 'Bookmark folder (collection) id')
-        .option('--all', 'Fetch all bookmarks (paged)')
-        .option('--max-pages <number>', 'Stop after N pages when using --all')
-        .option('--cursor <string>', 'Resume pagination from a cursor')
-        .option('--expand-root-only', 'Only expand threads when bookmarked tweet is root')
-        .option('--author-chain', 'Only include author self-reply chains connected to the bookmark')
-        .option('--author-only', 'Include all tweets from bookmarked tweet author in thread')
-        .option('--full-chain-only', 'Save entire reply chain connected to the bookmarked tweet')
-        .option('--include-ancestor-branches', 'Include sibling branches for ancestors when using --full-chain-only')
-        .option('--include-parent', 'Include direct parent tweet for non-root bookmarks')
-        .option('--thread-meta', 'Add metadata fields (isThread, threadPosition, etc.)')
-        .option('--sort-chronological', 'Sort output globally oldest -> newest')
-        .option('--json', 'Output as JSON')
-        .option('--json-full', 'Output as JSON with full raw API response in _raw field')
-        .action(async (cmdOpts) => {
-        const opts = program.opts();
-        const timeoutMs = ctx.resolveTimeoutFromOptions(opts);
-        const count = Number.parseInt(cmdOpts.count || '20', 10);
-        const pagination = parsePaginationFlags(cmdOpts);
-        if (!pagination.ok) {
-            console.error(`${ctx.p('err')}${pagination.error}`);
-            process.exit(1);
-        }
-        const maxPages = pagination.maxPages;
-        const { cookies, warnings } = await ctx.resolveCredentialsFromOptions(opts);
-        for (const warning of warnings) {
-            console.error(`${ctx.p('warn')}${warning}`);
-        }
-        if (!cookies.authToken || !cookies.ct0) {
-            console.error(`${ctx.p('err')}Missing required credentials`);
-            process.exit(1);
-        }
-        const usePagination = pagination.usePagination;
-        if (maxPages !== undefined && !usePagination) {
-            console.error(`${ctx.p('err')}--max-pages requires --all or --cursor.`);
-            process.exit(1);
-        }
-        if (!usePagination && (!Number.isFinite(count) || count <= 0)) {
-            console.error(`${ctx.p('err')}Invalid --count. Expected a positive integer.`);
-            process.exit(1);
-        }
-        const client = new TwitterClient({ cookies, timeoutMs });
-        const folderId = cmdOpts.folderId ? extractBookmarkFolderId(cmdOpts.folderId) : null;
-        if (cmdOpts.folderId && !folderId) {
-            console.error(`${ctx.p('err')}Invalid --folder-id. Expected numeric ID or https://x.com/i/bookmarks/<id>.`);
-            process.exit(1);
-        }
-        const includeRaw = cmdOpts.jsonFull ?? false;
-        const timelineOptions = { includeRaw };
-        const paginationOptions = { includeRaw, maxPages, cursor: pagination.cursor };
-        const result = folderId
-            ? usePagination
-                ? await client.getAllBookmarkFolderTimeline(folderId, paginationOptions)
-                : await client.getBookmarkFolderTimeline(folderId, count, timelineOptions)
-            : usePagination
-                ? await client.getAllBookmarks(paginationOptions)
-                : await client.getBookmarks(count, timelineOptions);
-        if (!result.success) {
-            console.error(`${ctx.p('err')}Failed to fetch bookmarks: ${result.error}`);
-            process.exit(1);
-        }
-        if (cmdOpts.authorChain && (cmdOpts.authorOnly || cmdOpts.fullChainOnly)) {
-            console.error(`${ctx.p('warn')}--author-chain already limits to the connected self-reply chain; ` +
-                'other chain filters are redundant.');
-        }
-        if (cmdOpts.includeAncestorBranches && !cmdOpts.fullChainOnly) {
-            console.error(`${ctx.p('warn')}--include-ancestor-branches only applies with --full-chain-only.`);
-        }
-        const bookmarks = result.tweets;
-        if (!bookmarks || bookmarks.length === 0) {
-            const emptyMessage = folderId ? 'No bookmarks found in folder.' : 'No bookmarks found.';
-            const isJson = Boolean(cmdOpts.json || cmdOpts.jsonFull);
-            ctx.printTweetsResult(result, { json: isJson, usePagination, emptyMessage });
-            return;
-        }
-        const expandedResults = [];
-        const threadCache = new Map();
-        const includeMeta = Boolean(cmdOpts.threadMeta);
-        const includeParent = Boolean(cmdOpts.includeParent);
-        const expandRootOnly = Boolean(cmdOpts.expandRootOnly);
-        const filterAuthorChainFlag = Boolean(cmdOpts.authorChain);
-        const filterAuthorOnlyFlag = Boolean(cmdOpts.authorOnly);
-        const filterFullChainFlag = Boolean(cmdOpts.fullChainOnly);
-        const includeAncestorBranches = Boolean(cmdOpts.includeAncestorBranches) && filterFullChainFlag;
-        const useChronologicalSort = Boolean(cmdOpts.sortChronological);
-        const shouldAttemptExpand = expandRootOnly || filterAuthorChainFlag || filterAuthorOnlyFlag || filterFullChainFlag;
-        const shouldFetchThread = shouldAttemptExpand || includeMeta;
-        const fetchThread = async (tweet) => {
-            const cachedKey = tweet.conversationId ?? tweet.id;
-            const cached = threadCache.get(cachedKey);
-            if (cached) {
-                return cached;
-            }
-            const threadResult = await client.getThread(tweet.id, { includeRaw });
-            if (!threadResult.success) {
-                console.error(`${ctx.p('warn')}Failed to expand thread for ${tweet.id}: ${threadResult.error ?? 'Unknown error'}`);
-                return null;
-            }
-            if (!threadResult.tweets) {
-                console.error(`${ctx.p('warn')}No thread tweets returned for ${tweet.id}.`);
-                return null;
-            }
-            const rootKey = threadResult.tweets[0]?.conversationId ?? cachedKey;
-            threadCache.set(rootKey, threadResult.tweets);
-            return threadResult.tweets;
-        };
-        const delayBetweenExpansionsMs = 1000;
-        for (let index = 0; index < bookmarks.length; index += 1) {
-            const bookmark = bookmarks[index];
-            const isRoot = !bookmark.inReplyToStatusId;
-            let threadTweets = null;
-            if (shouldFetchThread) {
-                if (!expandRootOnly || isRoot || includeMeta) {
-                    if (index > 0) {
-                        await new Promise((resolve) => setTimeout(resolve, delayBetweenExpansionsMs));
-                    }
-                    threadTweets = await fetchThread(bookmark);
-                }
-            }
-            let outputTweets = [bookmark];
-            if (shouldAttemptExpand) {
-                if (expandRootOnly && !isRoot) {
-                    outputTweets = [bookmark];
-                }
-                else if (threadTweets) {
-                    if (filterAuthorChainFlag) {
-                        outputTweets = filterAuthorChain(threadTweets, bookmark);
-                    }
-                    else {
-                        outputTweets = filterFullChainFlag
-                            ? filterFullChain(threadTweets, bookmark, { includeAncestorBranches })
-                            : threadTweets;
-                        if (filterAuthorOnlyFlag) {
-                            outputTweets = filterAuthorOnly(outputTweets, bookmark);
-                        }
-                    }
-                }
-            }
-            if (includeParent && bookmark.inReplyToStatusId) {
-                const alreadyIncluded = outputTweets.some((tweet) => tweet.id === bookmark.inReplyToStatusId);
-                if (!alreadyIncluded) {
-                    const parentFromThread = threadTweets?.find((tweet) => tweet.id === bookmark.inReplyToStatusId);
-                    if (parentFromThread) {
-                        expandedResults.push(parentFromThread);
-                    }
-                    else {
-                        const parentResult = await client.getTweet(bookmark.inReplyToStatusId, { includeRaw });
-                        if (parentResult.success && parentResult.tweet) {
-                            expandedResults.push(parentResult.tweet);
-                        }
-                    }
-                }
-            }
-            expandedResults.push(...outputTweets);
-        }
-        let finalResults = expandedResults;
-        if (includeMeta) {
-            finalResults = expandedResults.map((tweet) => {
-                const cacheKey = tweet.conversationId ?? tweet.id;
-                let conversationTweets = threadCache.get(cacheKey);
-                if (!conversationTweets) {
-                    conversationTweets = [tweet];
-                }
-                return addThreadMetadata(tweet, conversationTweets);
-            });
-        }
-        const uniqueTweets = Array.from(new Map(finalResults.map((tweet) => [tweet.id, tweet])).values());
-        if (useChronologicalSort) {
-            uniqueTweets.sort((a, b) => {
-                const aTime = a.createdAt ? Date.parse(a.createdAt) : 0;
-                const bTime = b.createdAt ? Date.parse(b.createdAt) : 0;
-                return aTime - bTime;
-            });
-        }
-        const emptyMessage = folderId ? 'No bookmarks found in folder.' : 'No bookmarks found.';
-        const isJson = Boolean(cmdOpts.json || cmdOpts.jsonFull);
-        ctx.printTweetsResult({ tweets: uniqueTweets, nextCursor: result.nextCursor }, { json: isJson, usePagination, emptyMessage });
-    });
-}
-//# sourceMappingURL=bookmarks.js.map

vendor/package/dist/commands/check.d.ts

@@ -1,4 +0,0 @@
-import type { Command } from 'commander';
-import type { CliContext } from '../cli/shared.js';
-export declare function registerCheckCommand(program: Command, ctx: CliContext): void;
-//# sourceMappingURL=check.d.ts.map

vendor/package/dist/commands/check.d.ts.map

@@ -1 +0,0 @@
-{"version":3,"file":"check.d.ts","sourceRoot":"","sources":["../../src/commands/check.ts"],"names":[],"mappings":"AAAA,OAAO,KAAK,EAAE,OAAO,EAAE,MAAM,WAAW,CAAC;AACzC,OAAO,KAAK,EAAE,UAAU,EAAE,MAAM,kBAAkB,CAAC;AAEnD,wBAAgB,oBAAoB,CAAC,OAAO,EAAE,OAAO,EAAE,GAAG,EAAE,UAAU,GAAG,IAAI,CA4C5E"}

vendor/package/dist/commands/check.js

@@ -1,43 +0,0 @@
-export function registerCheckCommand(program, ctx) {
-    program
-        .command('check')
-        .description('Check credential availability')
-        .action(async () => {
-        const opts = program.opts();
-        const { cookies, warnings } = await ctx.resolveCredentialsFromOptions(opts);
-        console.log(`${ctx.p('info')}Credential check`);
-        console.log('─'.repeat(40));
-        if (cookies.authToken) {
-            console.log(`${ctx.p('ok')}auth_token: ${cookies.authToken.slice(0, 10)}...`);
-        }
-        else {
-            console.log(`${ctx.p('err')}auth_token: not found`);
-        }
-        if (cookies.ct0) {
-            console.log(`${ctx.p('ok')}ct0: ${cookies.ct0.slice(0, 10)}...`);
-        }
-        else {
-            console.log(`${ctx.p('err')}ct0: not found`);
-        }
-        if (cookies.source) {
-            console.log(`${ctx.l('source')}${cookies.source}`);
-        }
-        if (warnings.length > 0) {
-            console.log(`\n${ctx.p('warn')}Warnings:`);
-            for (const warning of warnings) {
-                console.log(`   - ${warning}`);
-            }
-        }
-        if (cookies.authToken && cookies.ct0) {
-            console.log(`\n${ctx.p('ok')}Ready to tweet!`);
-        }
-        else {
-            console.log(`\n${ctx.p('err')}Missing credentials. Options:`);
-            console.log('   1. Login to x.com in Safari/Chrome/Firefox');
-            console.log('   2. Set AUTH_TOKEN and CT0 environment variables');
-            console.log('   3. Use --auth-token and --ct0 flags');
-            process.exit(1);
-        }
-    });
-}
-//# sourceMappingURL=check.js.map

vendor/package/dist/commands/check.js.map

@@ -1 +0,0 @@
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vendor/package/dist/commands/follow.d.ts

@@ -1,4 +0,0 @@
-import type { Command } from 'commander';
-import type { CliContext } from '../cli/shared.js';
-export declare function registerFollowCommands(program: Command, ctx: CliContext): void;
-//# sourceMappingURL=follow.d.ts.map

vendor/package/dist/commands/follow.d.ts.map

@@ -1 +0,0 @@
-{"version":3,"file":"follow.d.ts","sourceRoot":"","sources":["../../src/commands/follow.ts"],"names":[],"mappings":"AAAA,OAAO,KAAK,EAAE,OAAO,EAAE,MAAM,WAAW,CAAC;AACzC,OAAO,KAAK,EAAE,UAAU,EAAE,MAAM,kBAAkB,CAAC;AAmCnD,wBAAgB,sBAAsB,CAAC,OAAO,EAAE,OAAO,EAAE,GAAG,EAAE,UAAU,GAAG,IAAI,CA8E9E"}

vendor/package/dist/commands/follow.js

@@ -1,91 +0,0 @@
-import { normalizeHandle } from '../lib/normalize-handle.js';
-import { TwitterClient } from '../lib/twitter-client.js';
-const ONLY_DIGITS_REGEX = /^\d+$/;
-async function resolveUserId(client, usernameOrId, ctx) {
-    const raw = usernameOrId.trim();
-    const isNumeric = ONLY_DIGITS_REGEX.test(raw);
-    // Otherwise, treat as username and look up
-    const handle = normalizeHandle(raw);
-    if (handle) {
-        const lookup = await client.getUserIdByUsername(handle);
-        if (lookup.success && lookup.userId) {
-            return { userId: lookup.userId, username: lookup.username };
-        }
-        if (!isNumeric) {
-            console.error(`${ctx.p('err')}Failed to find user @${handle}: ${lookup.error ?? 'Unknown error'}`);
-            return null;
-        }
-    }
-    if (isNumeric) {
-        return { userId: raw };
-    }
-    console.error(`${ctx.p('err')}Invalid username: ${usernameOrId}`);
-    return null;
-}
-export function registerFollowCommands(program, ctx) {
-    program
-        .command('follow')
-        .description('Follow a user')
-        .argument('<username-or-id>', 'Username (with or without @) or user ID to follow')
-        .action(async (usernameOrId) => {
-        const opts = program.opts();
-        const timeoutMs = ctx.resolveTimeoutFromOptions(opts);
-        const { cookies, warnings } = await ctx.resolveCredentialsFromOptions(opts);
-        for (const warning of warnings) {
-            console.error(`${ctx.p('warn')}${warning}`);
-        }
-        if (!cookies.authToken || !cookies.ct0) {
-            console.error(`${ctx.p('err')}Missing required credentials`);
-            process.exit(1);
-        }
-        const client = new TwitterClient({ cookies, timeoutMs });
-        const resolved = await resolveUserId(client, usernameOrId, ctx);
-        if (!resolved) {
-            process.exit(1);
-        }
-        const { userId, username } = resolved;
-        const displayName = username ? `@${username}` : userId;
-        const result = await client.follow(userId);
-        if (result.success) {
-            const finalName = result.username ? `@${result.username}` : displayName;
-            console.log(`${ctx.p('ok')}Now following ${finalName}`);
-        }
-        else {
-            console.error(`${ctx.p('err')}Failed to follow ${displayName}: ${result.error}`);
-            process.exit(1);
-        }
-    });
-    program
-        .command('unfollow')
-        .description('Unfollow a user')
-        .argument('<username-or-id>', 'Username (with or without @) or user ID to unfollow')
-        .action(async (usernameOrId) => {
-        const opts = program.opts();
-        const timeoutMs = ctx.resolveTimeoutFromOptions(opts);
-        const { cookies, warnings } = await ctx.resolveCredentialsFromOptions(opts);
-        for (const warning of warnings) {
-            console.error(`${ctx.p('warn')}${warning}`);
-        }
-        if (!cookies.authToken || !cookies.ct0) {
-            console.error(`${ctx.p('err')}Missing required credentials`);
-            process.exit(1);
-        }
-        const client = new TwitterClient({ cookies, timeoutMs });
-        const resolved = await resolveUserId(client, usernameOrId, ctx);
-        if (!resolved) {
-            process.exit(1);
-        }
-        const { userId, username } = resolved;
-        const displayName = username ? `@${username}` : userId;
-        const result = await client.unfollow(userId);
-        if (result.success) {
-            const finalName = result.username ? `@${result.username}` : displayName;
-            console.log(`${ctx.p('ok')}Unfollowed ${finalName}`);
-        }
-        else {
-            console.error(`${ctx.p('err')}Failed to unfollow ${displayName}: ${result.error}`);
-            process.exit(1);
-        }
-    });
-}
-//# sourceMappingURL=follow.js.map

vendor/package/dist/commands/follow.js.map

@@ -1 +0,0 @@
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vendor/package/dist/commands/help.d.ts

@@ -1,4 +0,0 @@
-import type { Command } from 'commander';
-import type { CliContext } from '../cli/shared.js';
-export declare function registerHelpCommand(program: Command, ctx: CliContext): void;
-//# sourceMappingURL=help.d.ts.map

vendor/package/dist/commands/help.d.ts.map

@@ -1 +0,0 @@
-{"version":3,"file":"help.d.ts","sourceRoot":"","sources":["../../src/commands/help.ts"],"names":[],"mappings":"AAAA,OAAO,KAAK,EAAE,OAAO,EAAE,MAAM,WAAW,CAAC;AACzC,OAAO,KAAK,EAAE,UAAU,EAAE,MAAM,kBAAkB,CAAC;AAEnD,wBAAgB,mBAAmB,CAAC,OAAO,EAAE,OAAO,EAAE,GAAG,EAAE,UAAU,GAAG,IAAI,CAmB3E"}

vendor/package/dist/commands/help.js

@@ -1,19 +0,0 @@
-export function registerHelpCommand(program, ctx) {
-    program
-        .command('help [command]')
-        .description('Show help for a command')
-        .action((commandName) => {
-        if (!commandName) {
-            program.outputHelp();
-            return;
-        }
-        const cmd = program.commands.find((c) => c.name() === commandName);
-        if (!cmd) {
-            console.error(`${ctx.p('err')}Unknown command: ${commandName}`);
-            process.exitCode = 2;
-            return;
-        }
-        cmd.outputHelp();
-    });
-}
-//# sourceMappingURL=help.js.map

vendor/package/dist/commands/help.js.map

@@ -1 +0,0 @@
-{"version":3,"file":"help.js","sourceRoot":"","sources":["../../src/commands/help.ts"],"names":[],"mappings":"AAGA,MAAM,UAAU,mBAAmB,CAAC,OAAgB,EAAE,GAAe;IACnE,OAAO;SACJ,OAAO,CAAC,gBAAgB,CAAC;SACzB,WAAW,CAAC,yBAAyB,CAAC;SACtC,MAAM,CAAC,CAAC,WAAoB,EAAE,EAAE;QAC/B,IAAI,CAAC,WAAW,EAAE,CAAC;YACjB,OAAO,CAAC,UAAU,EAAE,CAAC;YACrB,OAAO;QACT,CAAC;QAED,MAAM,GAAG,GAAG,OAAO,CAAC,QAAQ,CAAC,IAAI,CAAC,CAAC,CAAC,EAAE,EAAE,CAAC,CAAC,CAAC,IAAI,EAAE,KAAK,WAAW,CAAC,CAAC;QACnE,IAAI,CAAC,GAAG,EAAE,CAAC;YACT,OAAO,CAAC,KAAK,CAAC,GAAG,GAAG,CAAC,CAAC,CAAC,KAAK,CAAC,oBAAoB,WAAW,EAAE,CAAC,CAAC;YAChE,OAAO,CAAC,QAAQ,GAAG,CAAC,CAAC;YACrB,OAAO;QACT,CAAC;QAED,GAAG,CAAC,UAAU,EAAE,CAAC;IACnB,CAAC,CAAC,CAAC;AACP,CAAC"}

vendor/package/dist/commands/home.d.ts

@@ -1,4 +0,0 @@
-import type { Command } from 'commander';
-import type { CliContext } from '../cli/shared.js';
-export declare function registerHomeCommand(program: Command, ctx: CliContext): void;
-//# sourceMappingURL=home.d.ts.map

vendor/package/dist/commands/home.d.ts.map

@@ -1 +0,0 @@
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vendor/package/dist/commands/home.js

@@ -1,43 +0,0 @@
-import { TwitterClient } from '../lib/twitter-client.js';
-export function registerHomeCommand(program, ctx) {
-    program
-        .command('home')
-        .description('Get your home timeline ("For You" feed)')
-        .option('-n, --count <number>', 'Number of tweets to fetch', '20')
-        .option('--following', 'Get "Following" feed (chronological) instead of "For You"')
-        .option('--json', 'Output as JSON')
-        .option('--json-full', 'Output as JSON with full raw API response in _raw field')
-        .action(async (cmdOpts) => {
-        const opts = program.opts();
-        const timeoutMs = ctx.resolveTimeoutFromOptions(opts);
-        const count = Number.parseInt(cmdOpts.count || '20', 10);
-        const { cookies, warnings } = await ctx.resolveCredentialsFromOptions(opts);
-        for (const warning of warnings) {
-            console.error(`${ctx.p('warn')}${warning}`);
-        }
-        if (!cookies.authToken || !cookies.ct0) {
-            console.error(`${ctx.p('err')}Missing required credentials`);
-            process.exit(1);
-        }
-        if (!Number.isFinite(count) || count <= 0) {
-            console.error(`${ctx.p('err')}Invalid --count. Expected a positive integer.`);
-            process.exit(1);
-        }
-        const client = new TwitterClient({ cookies, timeoutMs });
-        const includeRaw = cmdOpts.jsonFull ?? false;
-        const result = cmdOpts.following
-            ? await client.getHomeLatestTimeline(count, { includeRaw })
-            : await client.getHomeTimeline(count, { includeRaw });
-        if (result.success) {
-            const feedType = cmdOpts.following ? 'Following' : 'For You';
-            const emptyMessage = `No tweets found in ${feedType} timeline.`;
-            const isJson = Boolean(cmdOpts.json || cmdOpts.jsonFull);
-            ctx.printTweets(result.tweets, { json: isJson, emptyMessage });
-        }
-        else {
-            console.error(`${ctx.p('err')}Failed to fetch home timeline: ${result.error}`);
-            process.exit(1);
-        }
-    });
-}
-//# sourceMappingURL=home.js.map

vendor/package/dist/commands/home.js.map

@@ -1 +0,0 @@
-{"version":3,"file":"home.js","sourceRoot":"","sources":["../../src/commands/home.ts"],"names":[],"mappings":"AAEA,OAAO,EAAE,aAAa,EAAE,MAAM,0BAA0B,CAAC;AAEzD,MAAM,UAAU,mBAAmB,CAAC,OAAgB,EAAE,GAAe;IACnE,OAAO;SACJ,OAAO,CAAC,MAAM,CAAC;SACf,WAAW,CAAC,yCAAyC,CAAC;SACtD,MAAM,CAAC,sBAAsB,EAAE,2BAA2B,EAAE,IAAI,CAAC;SACjE,MAAM,CAAC,aAAa,EAAE,2DAA2D,CAAC;SAClF,MAAM,CAAC,QAAQ,EAAE,gBAAgB,CAAC;SAClC,MAAM,CAAC,aAAa,EAAE,yDAAyD,CAAC;SAChF,MAAM,CAAC,KAAK,EAAE,OAAoF,EAAE,EAAE;QACrG,MAAM,IAAI,GAAG,OAAO,CAAC,IAAI,EAAE,CAAC;QAC5B,MAAM,SAAS,GAAG,GAAG,CAAC,yBAAyB,CAAC,IAAI,CAAC,CAAC;QACtD,MAAM,KAAK,GAAG,MAAM,CAAC,QAAQ,CAAC,OAAO,CAAC,KAAK,IAAI,IAAI,EAAE,EAAE,CAAC,CAAC;QAEzD,MAAM,EAAE,OAAO,EAAE,QAAQ,EAAE,GAAG,MAAM,GAAG,CAAC,6BAA6B,CAAC,IAAI,CAAC,CAAC;QAE5E,KAAK,MAAM,OAAO,IAAI,QAAQ,EAAE,CAAC;YAC/B,OAAO,CAAC,KAAK,CAAC,GAAG,GAAG,CAAC,CAAC,CAAC,MAAM,CAAC,GAAG,OAAO,EAAE,CAAC,CAAC;QAC9C,CAAC;QAED,IAAI,CAAC,OAAO,CAAC,SAAS,IAAI,CAAC,OAAO,CAAC,GAAG,EAAE,CAAC;YACvC,OAAO,CAAC,KAAK,CAAC,GAAG,GAAG,CAAC,CAAC,CAAC,KAAK,CAAC,8BAA8B,CAAC,CAAC;YAC7D,OAAO,CAAC,IAAI,CAAC,CAAC,CAAC,CAAC;QAClB,CAAC;QAED,IAAI,CAAC,MAAM,CAAC,QAAQ,CAAC,KAAK,CAAC,IAAI,KAAK,IAAI,CAAC,EAAE,CAAC;YAC1C,OAAO,CAAC,KAAK,CAAC,GAAG,GAAG,CAAC,CAAC,CAAC,KAAK,CAAC,+CAA+C,CAAC,CAAC;YAC9E,OAAO,CAAC,IAAI,CAAC,CAAC,CAAC,CAAC;QAClB,CAAC;QAED,MAAM,MAAM,GAAG,IAAI,aAAa,CAAC,EAAE,OAAO,EAAE,SAAS,EAAE,CAAC,CAAC;QACzD,MAAM,UAAU,GAAG,OAAO,CAAC,QAAQ,IAAI,KAAK,CAAC;QAE7C,MAAM,MAAM,GAAG,OAAO,CAAC,SAAS;YAC9B,CAAC,CAAC,MAAM,MAAM,CAAC,qBAAqB,CAAC,KAAK,EAAE,EAAE,UAAU,EAAE,CAAC;YAC3D,CAAC,CAAC,MAAM,MAAM,CAAC,eAAe,CAAC,KAAK,EAAE,EAAE,UAAU,EAAE,CAAC,CAAC;QAExD,IAAI,MAAM,CAAC,OAAO,EAAE,CAAC;YACnB,MAAM,QAAQ,GAAG,OAAO,CAAC,SAAS,CAAC,CAAC,CAAC,WAAW,CAAC,CAAC,CAAC,SAAS,CAAC;YAC7D,MAAM,YAAY,GAAG,sBAAsB,QAAQ,YAAY,CAAC;YAChE,MAAM,MAAM,GAAG,OAAO,CAAC,OAAO,CAAC,IAAI,IAAI,OAAO,CAAC,QAAQ,CAAC,CAAC;YACzD,GAAG,CAAC,WAAW,CAAC,MAAM,CAAC,MAAM,EAAE,EAAE,IAAI,EAAE,MAAM,EAAE,YAAY,EAAE,CAAC,CAAC;QACjE,CAAC;aAAM,CAAC;YACN,OAAO,CAAC,KAAK,CAAC,GAAG,GAAG,CAAC,CAAC,CAAC,KAAK,CAAC,kCAAkC,MAAM,CAAC,KAAK,EAAE,CAAC,CAAC;YAC/E,OAAO,CAAC,IAAI,CAAC,CAAC,CAAC,CAAC;QAClB,CAAC;IACH,CAAC,CAAC,CAAC;AACP,CAAC"}

vendor/package/dist/commands/lists.d.ts

@@ -1,4 +0,0 @@
-import type { Command } from 'commander';
-import type { CliContext } from '../cli/shared.js';
-export declare function registerListsCommand(program: Command, ctx: CliContext): void;
-//# sourceMappingURL=lists.d.ts.map

vendor/package/dist/commands/lists.d.ts.map

@@ -1 +0,0 @@
-{"version":3,"file":"lists.d.ts","sourceRoot":"","sources":["../../src/commands/lists.ts"],"names":[],"mappings":"AAGA,OAAO,KAAK,EAAE,OAAO,EAAE,MAAM,WAAW,CAAC;AAEzC,OAAO,KAAK,EAAE,UAAU,EAAE,MAAM,kBAAkB,CAAC;AA4BnD,wBAAgB,oBAAoB,CAAC,OAAO,EAAE,OAAO,EAAE,GAAG,EAAE,UAAU,GAAG,IAAI,CAyH5E"}

vendor/package/dist/commands/lists.js

@@ -1,125 +0,0 @@
-// ABOUTME: CLI command for fetching Twitter Lists.
-// ABOUTME: Supports listing owned lists, memberships, and list timelines.
-import { parsePaginationFlags } from '../cli/pagination.js';
-import { extractListId } from '../lib/extract-list-id.js';
-import { hyperlink } from '../lib/output.js';
-import { TwitterClient } from '../lib/twitter-client.js';
-function printLists(lists, ctx) {
-    if (lists.length === 0) {
-        console.log('No lists found.');
-        return;
-    }
-    for (const list of lists) {
-        const visibility = list.isPrivate ? '[private]' : '[public]';
-        console.log(`${list.name} ${ctx.colors.muted(visibility)}`);
-        if (list.description) {
-            console.log(`  ${list.description.slice(0, 100)}${list.description.length > 100 ? '...' : ''}`);
-        }
-        console.log(`  ${ctx.p('info')}${list.memberCount?.toLocaleString() ?? 0} members`);
-        if (list.owner) {
-            console.log(`  ${ctx.colors.muted(`Owner: @${list.owner.username}`)}`);
-        }
-        const listUrl = `https://x.com/i/lists/${list.id}`;
-        console.log(`  ${ctx.colors.accent(hyperlink(listUrl, listUrl, ctx.getOutput()))}`);
-        console.log('──────────────────────────────────────────────────');
-    }
-}
-export function registerListsCommand(program, ctx) {
-    program
-        .command('lists')
-        .description('Get your Twitter lists')
-        .option('--member-of', 'Show lists you are a member of (instead of owned lists)')
-        .option('-n, --count <number>', 'Number of lists to fetch', '100')
-        .option('--json', 'Output as JSON')
-        .action(async (cmdOpts) => {
-        const opts = program.opts();
-        const timeoutMs = ctx.resolveTimeoutFromOptions(opts);
-        const count = Number.parseInt(cmdOpts.count || '100', 10);
-        const { cookies, warnings } = await ctx.resolveCredentialsFromOptions(opts);
-        for (const warning of warnings) {
-            console.error(`${ctx.p('warn')}${warning}`);
-        }
-        if (!cookies.authToken || !cookies.ct0) {
-            console.error(`${ctx.p('err')}Missing required credentials`);
-            process.exit(1);
-        }
-        const client = new TwitterClient({ cookies, timeoutMs });
-        const result = cmdOpts.memberOf ? await client.getListMemberships(count) : await client.getOwnedLists(count);
-        if (result.success && result.lists) {
-            if (cmdOpts.json) {
-                console.log(JSON.stringify(result.lists, null, 2));
-            }
-            else {
-                const emptyMessage = cmdOpts.memberOf ? 'You are not a member of any lists.' : 'You do not own any lists.';
-                if (result.lists.length === 0) {
-                    console.log(emptyMessage);
-                }
-                else {
-                    printLists(result.lists, ctx);
-                }
-            }
-        }
-        else {
-            console.error(`${ctx.p('err')}Failed to fetch lists: ${result.error}`);
-            process.exit(1);
-        }
-    });
-    program
-        .command('list-timeline <list-id-or-url>')
-        .description('Get tweets from a list timeline')
-        .option('-n, --count <number>', 'Number of tweets to fetch', '20')
-        .option('--all', 'Fetch all tweets from list (paged). WARNING: your account might get banned using this flag')
-        .option('--max-pages <number>', 'Fetch N pages (implies --all)')
-        .option('--cursor <string>', 'Resume pagination from a cursor')
-        .option('--json', 'Output as JSON')
-        .option('--json-full', 'Output as JSON with full raw API response in _raw field')
-        .action(async (listIdOrUrl, cmdOpts) => {
-        const opts = program.opts();
-        const timeoutMs = ctx.resolveTimeoutFromOptions(opts);
-        const quoteDepth = ctx.resolveQuoteDepthFromOptions(opts);
-        const count = Number.parseInt(cmdOpts.count || '20', 10);
-        const pagination = parsePaginationFlags(cmdOpts, { maxPagesImpliesPagination: true });
-        if (!pagination.ok) {
-            console.error(`${ctx.p('err')}${pagination.error}`);
-            process.exit(1);
-        }
-        const listId = extractListId(listIdOrUrl);
-        if (!listId) {
-            console.error(`${ctx.p('err')}Invalid list ID or URL. Expected numeric ID or https://x.com/i/lists/<id>.`);
-            process.exit(2);
-        }
-        const usePagination = pagination.usePagination;
-        if (!usePagination && (!Number.isFinite(count) || count <= 0)) {
-            console.error(`${ctx.p('err')}Invalid --count. Expected a positive integer.`);
-            process.exit(1);
-        }
-        const { cookies, warnings } = await ctx.resolveCredentialsFromOptions(opts);
-        for (const warning of warnings) {
-            console.error(`${ctx.p('warn')}${warning}`);
-        }
-        if (!cookies.authToken || !cookies.ct0) {
-            console.error(`${ctx.p('err')}Missing required credentials`);
-            process.exit(1);
-        }
-        const client = new TwitterClient({ cookies, timeoutMs, quoteDepth });
-        const includeRaw = cmdOpts.jsonFull ?? false;
-        const timelineOptions = { includeRaw };
-        const paginationOptions = { includeRaw, maxPages: pagination.maxPages, cursor: pagination.cursor };
-        const result = usePagination
-            ? await client.getAllListTimeline(listId, paginationOptions)
-            : await client.getListTimeline(listId, count, timelineOptions);
-        if (result.success) {
-            const isJson = Boolean(cmdOpts.json || cmdOpts.jsonFull);
-            ctx.printTweetsResult(result, {
-                json: isJson,
-                usePagination,
-                emptyMessage: 'No tweets found in this list.',
-            });
-        }
-        else {
-            console.error(`${ctx.p('err')}Failed to fetch list timeline: ${result.error}`);
-            process.exit(1);
-        }
-    });
-}
-//# sourceMappingURL=lists.js.map

vendor/package/dist/commands/news.d.ts

@@ -1,4 +0,0 @@
-import type { Command } from 'commander';
-import type { CliContext } from '../cli/shared.js';
-export declare function registerNewsCommand(program: Command, ctx: CliContext): void;
-//# sourceMappingURL=news.d.ts.map

vendor/package/dist/commands/news.d.ts.map

@@ -1 +0,0 @@
-{"version":3,"file":"news.d.ts","sourceRoot":"","sources":["../../src/commands/news.ts"],"names":[],"mappings":"AAAA,OAAO,KAAK,EAAE,OAAO,EAAE,MAAM,WAAW,CAAC;AACzC,OAAO,KAAK,EAAE,UAAU,EAAE,MAAM,kBAAkB,CAAC;AAmEnD,wBAAgB,mBAAmB,CAAC,OAAO,EAAE,OAAO,EAAE,GAAG,EAAE,UAAU,GAAG,IAAI,CAuG3E"}

vendor/package/dist/commands/news.js

@@ -1,131 +0,0 @@
-import { TwitterClient } from '../lib/twitter-client.js';
-function formatPostCount(count) {
-    if (count >= 1_000_000) {
-        return `${(count / 1_000_000).toFixed(1)}M`;
-    }
-    if (count >= 1_000) {
-        return `${(count / 1_000).toFixed(1)}K`;
-    }
-    return String(count);
-}
-function printNewsItems(items, ctx, opts = {}) {
-    if (opts.json) {
-        console.log(JSON.stringify(items, null, 2));
-        return;
-    }
-    if (items.length === 0) {
-        console.log(opts.emptyMessage ?? 'No news items found.');
-        return;
-    }
-    for (const item of items) {
-        const categoryLabel = item.category ? `[${item.category}]` : '';
-        console.log(`\n${ctx.colors.accent(categoryLabel)} ${ctx.colors.command(item.headline)}`);
-        if (item.description) {
-            console.log(`  ${ctx.colors.muted(item.description)}`);
-        }
-        const meta = [];
-        if (item.timeAgo) {
-            meta.push(item.timeAgo);
-        }
-        if (item.postCount) {
-            meta.push(`${formatPostCount(item.postCount)} posts`);
-        }
-        if (meta.length > 0) {
-            console.log(`  ${ctx.colors.muted(meta.join(' | '))}`);
-        }
-        if (item.url) {
-            console.log(`  ${ctx.l('url')}${item.url}`);
-        }
-        // Print related tweets if available
-        if (item.tweets && item.tweets.length > 0) {
-            console.log(`  ${ctx.colors.section('Related tweets:')}`);
-            const tweetLimit = opts.tweetLimit ?? item.tweets.length;
-            for (const tweet of item.tweets.slice(0, tweetLimit)) {
-                console.log(`    @${tweet.author.username}: ${tweet.text.slice(0, 100)}${tweet.text.length > 100 ? '...' : ''}`);
-            }
-        }
-        console.log(ctx.colors.muted('─'.repeat(50)));
-    }
-}
-export function registerNewsCommand(program, ctx) {
-    program
-        .command('news')
-        .alias('trending')
-        .description('Fetch AI-curated news and trending topics from Explore tabs')
-        .option('-n, --count <number>', 'Number of items to fetch', '10')
-        .option('--ai-only', 'Show only AI-curated news items')
-        .option('--with-tweets', 'Also fetch related tweets for each news item')
-        .option('--tweets-per-item <number>', 'Number of tweets to fetch per news item (default: 5)', '5')
-        .option('--for-you', 'Fetch only from For You tab')
-        .option('--news-only', 'Fetch only from News tab')
-        .option('--sports', 'Fetch only from Sports tab')
-        .option('--entertainment', 'Fetch only from Entertainment tab')
-        .option('--trending-only', 'Fetch only from Trending tab')
-        .option('--json', 'Output as JSON')
-        .option('--json-full', 'Output as JSON with full raw API response in _raw field')
-        .action(async (cmdOpts) => {
-        const opts = program.opts();
-        const timeoutMs = ctx.resolveTimeoutFromOptions(opts);
-        const quoteDepth = ctx.resolveQuoteDepthFromOptions(opts);
-        const count = Number.parseInt(cmdOpts.count || '10', 10);
-        const tweetsPerItem = Number.parseInt(cmdOpts.tweetsPerItem || '5', 10);
-        const { cookies, warnings } = await ctx.resolveCredentialsFromOptions(opts);
-        for (const warning of warnings) {
-            console.error(`${ctx.p('warn')}${warning}`);
-        }
-        if (Number.isNaN(count) || count < 1) {
-            console.error(`${ctx.p('err')}--count must be a positive number`);
-            process.exit(1);
-        }
-        if (Number.isNaN(tweetsPerItem) || tweetsPerItem < 1) {
-            console.error(`${ctx.p('err')}--tweets-per-item must be a positive number`);
-            process.exit(1);
-        }
-        if (!cookies.authToken || !cookies.ct0) {
-            console.error(`${ctx.p('err')}Missing required credentials`);
-            process.exit(1);
-        }
-        // Determine which tabs to fetch from
-        const tabs = [];
-        if (cmdOpts.forYou) {
-            tabs.push('forYou');
-        }
-        if (cmdOpts.newsOnly) {
-            tabs.push('news');
-        }
-        if (cmdOpts.sports) {
-            tabs.push('sports');
-        }
-        if (cmdOpts.entertainment) {
-            tabs.push('entertainment');
-        }
-        if (cmdOpts.trendingOnly) {
-            tabs.push('trending');
-        }
-        // If no specific tabs selected, use defaults (all tabs except trending)
-        const tabsToFetch = tabs.length > 0 ? tabs : undefined;
-        const client = new TwitterClient({ cookies, timeoutMs, quoteDepth });
-        const includeRaw = cmdOpts.jsonFull ?? false;
-        const withTweets = cmdOpts.withTweets ?? false;
-        const aiOnly = cmdOpts.aiOnly ?? false;
-        const result = await client.getNews(count, {
-            includeRaw,
-            withTweets,
-            tweetsPerItem,
-            aiOnly,
-            tabs: tabsToFetch,
-        });
-        if (result.success) {
-            printNewsItems(result.items, ctx, {
-                json: cmdOpts.json || cmdOpts.jsonFull,
-                emptyMessage: 'No news items found.',
-                tweetLimit: withTweets ? tweetsPerItem : undefined,
-            });
-        }
-        else {
-            console.error(`${ctx.p('err')}Failed to fetch news: ${result.error}`);
-            process.exit(1);
-        }
-    });
-}
-//# sourceMappingURL=news.js.map

vendor/package/dist/commands/post.d.ts

@@ -1,4 +0,0 @@
-import type { Command } from 'commander';
-import type { CliContext } from '../cli/shared.js';
-export declare function registerPostCommands(program: Command, ctx: CliContext): void;
-//# sourceMappingURL=post.d.ts.map

vendor/package/dist/commands/post.d.ts.map

@@ -1 +0,0 @@
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vendor/package/dist/commands/post.js

@@ -1,101 +0,0 @@
-import { formatTweetUrlLine } from '../lib/output.js';
-import { TwitterClient } from '../lib/twitter-client.js';
-async function uploadMediaOrExit(client, media, ctx) {
-    if (media.length === 0) {
-        return undefined;
-    }
-    const uploaded = [];
-    for (const item of media) {
-        const res = await client.uploadMedia({ data: item.buffer, mimeType: item.mime, alt: item.alt });
-        if (!res.success || !res.mediaId) {
-            console.error(`${ctx.p('err')}Media upload failed: ${res.error ?? 'Unknown error'}`);
-            process.exit(1);
-        }
-        uploaded.push(res.mediaId);
-    }
-    return uploaded;
-}
-export function registerPostCommands(program, ctx) {
-    program
-        .command('tweet')
-        .description('Post a new tweet')
-        .argument('<text>', 'Tweet text')
-        .action(async (text) => {
-        const opts = program.opts();
-        const timeoutMs = ctx.resolveTimeoutFromOptions(opts);
-        const quoteDepth = ctx.resolveQuoteDepthFromOptions(opts);
-        let media = [];
-        try {
-            media = ctx.loadMedia({ media: opts.media ?? [], alts: opts.alt ?? [] });
-        }
-        catch (error) {
-            console.error(`${ctx.p('err')}${error instanceof Error ? error.message : String(error)}`);
-            process.exit(1);
-        }
-        const { cookies, warnings } = await ctx.resolveCredentialsFromOptions(opts);
-        for (const warning of warnings) {
-            console.error(`${ctx.p('warn')}${warning}`);
-        }
-        if (!cookies.authToken || !cookies.ct0) {
-            console.error(`${ctx.p('err')}Missing required credentials`);
-            process.exit(1);
-        }
-        if (cookies.source) {
-            console.error(`${ctx.l('source')}${cookies.source}`);
-        }
-        const client = new TwitterClient({ cookies, timeoutMs, quoteDepth });
-        const mediaIds = await uploadMediaOrExit(client, media, ctx);
-        const result = await client.tweet(text, mediaIds);
-        if (result.success) {
-            console.log(`${ctx.p('ok')}Tweet posted successfully!`);
-            console.log(formatTweetUrlLine(result.tweetId, ctx.getOutput()));
-        }
-        else {
-            console.error(`${ctx.p('err')}Failed to post tweet: ${result.error}`);
-            process.exit(1);
-        }
-    });
-    program
-        .command('reply')
-        .description('Reply to an existing tweet')
-        .argument('<tweet-id-or-url>', 'Tweet ID or URL to reply to')
-        .argument('<text>', 'Reply text')
-        .action(async (tweetIdOrUrl, text) => {
-        const opts = program.opts();
-        const timeoutMs = ctx.resolveTimeoutFromOptions(opts);
-        const quoteDepth = ctx.resolveQuoteDepthFromOptions(opts);
-        let media = [];
-        try {
-            media = ctx.loadMedia({ media: opts.media ?? [], alts: opts.alt ?? [] });
-        }
-        catch (error) {
-            console.error(`${ctx.p('err')}${error instanceof Error ? error.message : String(error)}`);
-            process.exit(1);
-        }
-        const tweetId = ctx.extractTweetId(tweetIdOrUrl);
-        const { cookies, warnings } = await ctx.resolveCredentialsFromOptions(opts);
-        for (const warning of warnings) {
-            console.error(`${ctx.p('warn')}${warning}`);
-        }
-        if (!cookies.authToken || !cookies.ct0) {
-            console.error(`${ctx.p('err')}Missing required credentials`);
-            process.exit(1);
-        }
-        if (cookies.source) {
-            console.error(`${ctx.l('source')}${cookies.source}`);
-        }
-        console.error(`${ctx.p('info')}Replying to tweet: ${tweetId}`);
-        const client = new TwitterClient({ cookies, timeoutMs, quoteDepth });
-        const mediaIds = await uploadMediaOrExit(client, media, ctx);
-        const result = await client.reply(text, tweetId, mediaIds);
-        if (result.success) {
-            console.log(`${ctx.p('ok')}Reply posted successfully!`);
-            console.log(formatTweetUrlLine(result.tweetId, ctx.getOutput()));
-        }
-        else {
-            console.error(`${ctx.p('err')}Failed to post reply: ${result.error}`);
-            process.exit(1);
-        }
-    });
-}
-//# sourceMappingURL=post.js.map

vendor/package/dist/commands/post.js.map

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vendor/package/dist/commands/query-ids.d.ts

@@ -1,4 +0,0 @@
-import type { Command } from 'commander';
-import type { CliContext } from '../cli/shared.js';
-export declare function registerQueryIdsCommand(program: Command, ctx: CliContext): void;
-//# sourceMappingURL=query-ids.d.ts.map

vendor/package/dist/commands/query-ids.d.ts.map

@@ -1 +0,0 @@
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