chore: add gogcli #589 zoom demo gif (#408 )

PR demo embed asset for openclaw/gogcli #589 (feat: --with-zoom). Hosted here for stable raw URL. Co-authored-by: Matt Van Horn <455140+mvanhorn@users.noreply.github.com>
Merge pull request #405 from tmchow/docs/readme-multi-harness-install
2026-05-16 11:18:41 -07:00 · 2026-05-15 23:46:57 -07:00 · 2026-05-15 23:42:31 -07:00 · 2026-05-15 23:20:33 -07:00 · 2026-05-15 23:03:51 -07:00 · 2026-05-15 23:02:57 -07:00
28 changed files with 623 additions and 911 deletions
@@ -11,7 +11,7 @@
    {
      "name": "last30days",
      "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.",
-      "version": "3.2.0",
+      "version": "3.2.3",
      "author": {
        "name": "Matt Van Horn",
        "url": "https://github.com/mvanhorn"
@@ -1,6 +1,6 @@
 {
  "name": "last30days",
-  "version": "3.2.0",
+  "version": "3.2.3",
  "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",
@@ -1,43 +0,0 @@
-{
-  "name": "last30days",
-  "version": "3.2.0",
-  "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",
-    "email": "mvanhorn@gmail.com",
-    "url": "https://github.com/mvanhorn"
-  },
-  "homepage": "https://github.com/mvanhorn/last30days-skill",
-  "repository": "https://github.com/mvanhorn/last30days-skill",
-  "license": "MIT",
-  "keywords": [
-    "research",
-    "reddit",
-    "twitter",
-    "youtube",
-    "tiktok",
-    "instagram",
-    "trends",
-    "polymarket",
-    "github",
-    "hacker-news"
-  ],
-  "skills": "./skills/",
-  "interface": {
-    "displayName": "Last 30 Days",
-    "shortDescription": "Research recent discussion across social and web sources",
-    "longDescription": "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.",
-    "developerName": "Matt Van Horn",
-    "category": "Research",
-    "capabilities": [
-      "Interactive",
-      "Read",
-      "Write"
-    ],
-    "websiteURL": "https://github.com/mvanhorn/last30days-skill",
-    "privacyPolicyURL": "https://docs.github.com/en/site-policy/privacy-policies/github-general-privacy-statement",
-    "termsOfServiceURL": "https://docs.github.com/en/site-policy/github-terms/github-terms-of-service",
-    "defaultPrompt": "Use Last 30 Days to research this topic from the last 30 days across Reddit, X, YouTube, and web.",
-    "brandColor": "#FF6B35"
-  }
-}
@@ -13,7 +13,6 @@
 <!-- How did you verify this works? -->

 - [ ] Ran `uv run python -m pytest -q --tb=short`
- [ ] Ran `bash scripts/sync.sh` (if scripts/ changed)

 ## Related Issues

@@ -7,6 +7,19 @@ and this project adheres to [Semantic Versioning](https://semver.org/spec/v2.0.0

 ## [Unreleased]

+### Changed
+
+- Rename "Digg AI 1000" to just "Digg" in user-facing output (footer line, source label, inline-quote suffix, why_relevant, container attribution). Internal references to the upstream Digg AI 1000 product remain in code comments and docstrings.
+- Bump `POSTS_PER_CLUSTER` from 3 to 5 and the render-side display limit from 2 to 3 to match the per-source enrichment caps used by Reddit, HN, YouTube, TikTok, and GitHub. The previous 3/2 caps routinely truncated cluster context (e.g. dropped a Jason Calacanis quote tweet on a `cli-printing-press` run).
+- Rewrite SKILL.md path resolution. STEP 0 narrows from a global canonical-path enforcement to a Claude-Code-marketplaces-only stale-clone guard. Step 1 SKILL_ROOT resolver walks a single precedence list (Claude plugin cache, then `~/.codex/skills/`, `~/.agents/skills/`, repo checkout, `./.skills/last30days` for `npx skills add`, CWD, Gemini). Adds SKILL.md frontmatter fallback to `render.py::_skill_version` so the badge no longer prints `v?` on installs that don't include `.claude-plugin/plugin.json`.
+
+- Switch SKILL.md's `--plan` and `--competitors-plan` invocation templates from inline single-quoted JSON to heredoc-written tmpfiles. Apostrophes in resolved context strings ("McDonald's", "people's choice", "developer's") previously closed the outer single-quote and broke shell parsing before the engine started — observed in a Codex run during PR #400 testing. The engine's `parse_plan()` / `parse_competitors_plan()` already supported file paths (via `os.path.isfile()` probe); only the template prose changed. Fixes [#403](https://github.com/mvanhorn/last30days-skill/issues/403).
+
+### Removed
+
+- **BREAKING for Codex native-plugin users:** `.codex-plugin/plugin.json` and the matching SKILL_ROOT resolver branch in SKILL.md Step 1. Codex users should install via `npx skills add mvanhorn/last30days-skill` or copy the skill to `~/.codex/skills/last30days/`.
+- **`skills/last30days/scripts/sync.sh`.** The maintainer dev-deploy script is gone. Every job it did has a better replacement: `npx skills add . -g -y` symlinks the working tree into every detected harness's skill dir (better than sync.sh's copy model — edits propagate live), `hermes skills install mvanhorn/last30days-skill --force` handles Hermes, `clawhub install last30days-official` handles OpenClaw, and the Claude marketplace cache target was a "test against the official install path" hack we shouldn't have been recommending in the first place. The `test_sync_cache_path_uses_skill_version` test was dropped along with it. CLAUDE.md, HERMES_SETUP.md, the PR template, and a render.py docstring were updated to drop references; CHANGELOG and historical docs (release notes, plan files) keep their existing mentions as accurate history.
+
 ## [3.2.0] - 2026-05-09

 ### Added
@@ -12,12 +12,12 @@ Python scripts with multi-source search aggregation.
 ## Commands
 ```bash
 python3 skills/last30days/scripts/last30days.py "test query" --emit=compact
-bash skills/last30days/scripts/sync.sh
+npx skills add . -g -y   # one-time: symlink this repo into every detected harness's skill dir
 ```

 ## Rules
 - `lib/__init__.py` must be bare package marker (comment only, NO eager imports)
- After edits: run `bash skills/last30days/scripts/sync.sh` to deploy
+- One-time setup: `npx skills add . -g -y` creates symlinks from each detected harness's skill dir to this repo. Edits in the working tree propagate live to every harness — no re-deploy step needed.
 - Git remote: origin = public (`mvanhorn/last30days-skill`)

 ## Beta channel
@@ -10,28 +10,20 @@ This guide covers installing last30days on Hermes AI Agent.

 ## 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 skills/last30days/scripts/sync.sh
+hermes skills install mvanhorn/last30days-skill --force
 ```

-This will auto-detect Hermes and deploy to `~/.hermes/skills/research/last30days/`
+This pulls the latest release from GitHub and deploys to `~/.hermes/skills/research/last30days/`. `--force` reinstalls over any existing copy.

-### Option 2: Manual Copy
+### Developer / live-edit alternative
+
+If you're hacking on the skill locally and want edits to propagate to Hermes without re-installing, symlink your working tree:

 ```bash
-# Create directory
-mkdir -p ~/.hermes/skills/research/last30days
-
-# Copy files
-cp skills/last30days/SKILL.md ~/.hermes/skills/research/last30days/
-cp -r skills/last30days/scripts ~/.hermes/skills/research/last30days/
+git clone https://github.com/mvanhorn/last30days-skill.git
+mkdir -p ~/.hermes/skills/research
+ln -s "$(pwd)/last30days-skill/skills/last30days" ~/.hermes/skills/research/last30days
 ```

 ## Usage
@@ -106,14 +98,12 @@ python3.12 scripts/last30days.py --diagnose

 ## Updating

-To update to the latest version:
-
 ```bash
-cd last30days-skill
-git pull
-bash skills/last30days/scripts/sync.sh
+hermes skills install mvanhorn/last30days-skill --force
 ```

+If you symlinked your working tree (developer alternative above), just `git pull` in the repo — edits propagate live, no re-install step.
+
 ## Support

 - Original repo: https://github.com/mvanhorn/last30days-skill
@@ -14,21 +14,18 @@

 This README tracks the current v3 pipeline. The runtime skill spec lives in [SKILL.md](SKILL.md), which is the source of truth for the latest command and setup behavior.

-Claude Code:
+**Claude Code (recommended — auto-updates via marketplace):**
 ```
 /plugin marketplace add mvanhorn/last30days-skill
 ```

-OpenClaw:
+**Codex, Cursor, Copilot, Gemini CLI, or any of 50+ [Agent Skills](https://agentskills.io) hosts:**
 ```
-clawhub install last30days-official
+npx skills add mvanhorn/last30days-skill -g
 ```
+(`-g` installs globally for your user, available across all projects. Drop it to scope per-project.)

-Hermes:
-```
-# The skill auto-deploys when you run sync.sh
-# Or manually copy to ~/.hermes/skills/research/last30days/
-```
+More install options (claude.ai web, OpenClaw, manual) in the [Install](#install) section below.

 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.

@@ -68,7 +65,7 @@ If you're meeting with a CEO, have you read all their tweets and YouTube transcr
 | **Hacker News** | The developer consensus. 825 points, 899 comments. Where technical people actually argue. |
 | **Polymarket** | Not opinions. Odds. Backed by real money. 96% confidence on album sales. 4% on an acquisition. |
 | **GitHub** | For people: PR velocity, top repos by stars, release notes. For topics: issues and discussions. |
-| **Digg AI 1000** | Curated story clusters from ~1000 high-signal AI accounts on X, with attributable inline quotes (no X auth required). Auto-enabled when `digg-pp-cli` is on PATH. |
+| **Digg** | Curated story clusters from Digg's AI 1000 leaderboard (~1000 high-signal AI accounts on X), with attributable inline quotes (no X auth required). Auto-enabled when `digg-pp-cli` is on PATH. |
 | **Threads** | The post-Twitter text layer. Conversations from creators and brands. |
 | **Pinterest** | Visual discovery. Pins, saves, and comments on products and ideas. |
 | **Bluesky** | The decentralized social layer. AT Protocol posts from the post-Twitter migration. |
@@ -168,12 +165,61 @@ 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) |
+| Surface | Install | Updates |
+|---------|---------|---------|
+| **Claude Code** (recommended) | `/plugin marketplace add mvanhorn/last30days-skill` | Auto via marketplace, or `claude plugin update last30days@last30days-skill` |
+| **Codex, Cursor, Copilot, Gemini CLI, GitHub Copilot, or any of 50+ [Agent Skills](https://agentskills.io) hosts** | `npx skills add mvanhorn/last30days-skill -g` | `npx skills update last30days -g` |
+| **claude.ai** (web) | [Download `last30days.skill`](https://github.com/mvanhorn/last30days-skill/releases/latest/download/last30days.skill) and upload via Settings > Capabilities > Skills > + | Re-download and re-upload |
+| **OpenClaw** | `clawhub install last30days-official` | `clawhub update last30days-official` |
+
+### Claude Code (recommended)
+
+```
+/plugin marketplace add mvanhorn/last30days-skill
+```
+
+Recommended because the Claude Code marketplace handles updates for you — the plugin cache is versioned and auto-refreshes when a new release publishes. Run `claude plugin update last30days@last30days-skill` to force a check.
+
+If you'd rather use the agent-skills install path on Claude Code, that's also supported:
+
+```
+npx skills add mvanhorn/last30days-skill -g -a claude-code
+```
+
+The native plugin and the `npx skills` install can coexist; Claude Code dedupes the slash command.
+
+### Codex, Cursor, Copilot, Gemini CLI, and other Agent Skills hosts
+
+Install via the open [Agent Skills](https://agentskills.io) CLI — supports 50+ harnesses including `codex`, `cursor`, `github-copilot`, `gemini-cli`, `claude-code`, `windsurf`, `cline`, `continue`, `roo`, `aider-desk`, `opencode`, `goose`, and more (full list on the [vercel-labs/skills repo](https://github.com/vercel-labs/skills)).
+
+```bash
+npx skills add mvanhorn/last30days-skill -g
+```
+
+The `-g` (global) flag installs to your user directory so the skill is available across all projects. Without `-g`, `npx skills` installs project-locally into `./.skills/` (committed with the repo). For a research-the-world tool, global is what you want.
+
+By default this installs for whichever harness `npx skills` detects. To target a specific one (or multiple):
+
+```bash
+npx skills add mvanhorn/last30days-skill -g -a codex
+npx skills add mvanhorn/last30days-skill -g -a cursor
+npx skills add mvanhorn/last30days-skill -g -a gemini-cli
+npx skills add mvanhorn/last30days-skill -g -a codex -a cursor
+```
+
+Update later with:
+
+```bash
+npx skills update last30days -g
+```
+
+Or update everything you've installed globally via `npx skills`:
+
+```bash
+npx skills update -g
+```
+
+List and remove with `npx skills list -g` and `npx skills remove last30days -g`.

 ### claude.ai (web)

@@ -181,15 +227,7 @@ Say "eli5 on" after any research run. The synthesis rewrites in plain language.
 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
-
-```
-/plugin marketplace add mvanhorn/last30days-skill
-```
-
-Update later with `claude plugin update last30days@last30days-skill`.
+Enable "Code execution and file creation" under Capabilities first — skills won't run without it.

 ### OpenClaw

@@ -197,22 +235,14 @@ Update later with `claude plugin update last30days@last30days-skill`.
 clawhub install last30days-official
 ```

-### 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
+git clone https://github.com/mvanhorn/last30days-skill.git
+ln -s "$(pwd)/last30days-skill/skills/last30days" ~/.claude/skills/last30days
 ```

-Or build the claude.ai `.skill` file from source: `bash skills/last30days/scripts/build-skill.sh` produces `dist/last30days.skill`.
+The symlink keeps the install in sync with your working tree as you edit — no re-copy needed. For `claude.ai`, build the `.skill` file from source: `bash skills/last30days/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.

@@ -1,12 +1,10 @@
 [project]
 name = "last30days-skill"
-version = "3.2.0"
+version = "3.2.3"
 description = "Multi-source last-30-days research skill"
 readme = "README.md"
 requires-python = ">=3.12"
-dependencies = [
-  "requests>=2.32,<3",
-]
+dependencies = []

 [dependency-groups]
 dev = [
@@ -1,6 +1,6 @@
 ---
 name: last30days
-version: "3.2.0"
+version: "3.2.3"
 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
@@ -60,23 +60,32 @@ metadata:
      - clawhub
 ---

-# STEP 0: CANONICAL PATH SELF-CHECK — RUN BEFORE READING BELOW
+# STEP 0: STALE-CLONE SELF-CHECK — RUN BEFORE READING BELOW

-Before reading anything else in this file, verify that the SKILL.md you just loaded is the versioned cache copy, not a stale marketplace clone:
+Before reading anything else in this file, check whether you loaded SKILL.md from the one known stale-clone location: Claude Code's marketplaces directory.
+
+**Run this check:**

 ```bash
-CANONICAL_ROOT="$HOME/.claude/plugins/cache/last30days-skill/last30days"
-CANONICAL_LATEST=$(ls -d "$CANONICAL_ROOT"/*/ 2>/dev/null | sort -V | tail -1)
-CANONICAL_LATEST="${CANONICAL_LATEST%/}"
+CLAUDE_CACHE_LATEST=$(find "$HOME/.claude/plugins/cache/last30days-skill/last30days" -mindepth 1 -maxdepth 1 -type d 2>/dev/null | sort -V | tail -1)
+# Two cache layouts ship in the wild — nested ({version}/skills/last30days/SKILL.md)
+# and flat ({version}/SKILL.md). Resolve to whichever shape actually exists.
+CLAUDE_CACHE_SKILL_MD=""
+if [ -n "$CLAUDE_CACHE_LATEST" ]; then
+  if [ -f "$CLAUDE_CACHE_LATEST/skills/last30days/SKILL.md" ]; then
+    CLAUDE_CACHE_SKILL_MD="$CLAUDE_CACHE_LATEST/skills/last30days/SKILL.md"
+  elif [ -f "$CLAUDE_CACHE_LATEST/SKILL.md" ]; then
+    CLAUDE_CACHE_SKILL_MD="$CLAUDE_CACHE_LATEST/SKILL.md"
+  fi
+fi
+echo "CLAUDE_CACHE_SKILL_MD=$CLAUDE_CACHE_SKILL_MD"
 ```

-If the SKILL.md file you just read is NOT under `$CANONICAL_LATEST/`, STOP and re-read `$CANONICAL_LATEST/SKILL.md` before proceeding. Do not run `--help`, do not plan, do not invoke the engine against any other path.
+If the SKILL.md path you just Read contains `/.claude/plugins/marketplaces/` AND `$CLAUDE_CACHE_SKILL_MD` is non-empty, STOP and re-read `$CLAUDE_CACHE_SKILL_MD` before proceeding. Otherwise the SKILL.md you have is fine — continue.

-**Why:** `~/.claude/plugins/marketplaces/last30days-skill/` is a git clone Claude Code auto-restores to `origin/main` on session start. It can lag the versioned cache by one or more releases. Three 2026-04-22 test runs (Linear, Coinbase) loaded SKILL.md from `marketplaces/`, ran `--help` from the same stale path, did not see the `--competitors` flag that existed in the cache, and fell back to a manual comparison plan. Result: 2 of 3 windows never invoked the feature they were asked to test.
+**Why this specific check:** `~/.claude/plugins/marketplaces/last30days-skill/` is a git clone Claude Code auto-restores to `origin/main` on session start. It can lag the versioned cache by one or more releases. Three 2026-04-22 test runs (Linear, Coinbase) loaded SKILL.md from `marketplaces/`, ran `--help` from the same stale path, did not see the `--competitors` flag that existed in the cache, and fell back to a manual comparison plan. Result: 2 of 3 windows never invoked the feature they were asked to test. STEP 0 defends against that one Claude Code-specific bug.

-**How to self-check:** the file path you used in your last Read tool call should match `$CANONICAL_LATEST/SKILL.md`. If it contains `marketplaces/` or any other prefix, that is the stale-path failure mode. Re-read from `$CANONICAL_LATEST/SKILL.md` and restart this contract from the top.
-
-The same pinned resolver appears later in Step 1 for the engine Bash invocation. That guard is necessary but insufficient — by the time you reach Step 1, you may have already internalized an out-of-date flag list from the stale SKILL.md above it. This STEP 0 runs first so the CONTRACT itself is read from the right file.
+**Other install paths are fine:** `~/.codex/skills/`, `~/.agents/skills/`, an `npx skills add` install dir, or a repo checkout are all valid load points - the resolver in Step 1 picks them up. Do NOT abort or hop on those paths.

 ---

@@ -88,7 +97,7 @@ You are inside the `/last30days` SKILL. This is a specific research tool with a

 **How v3.0.7 fixes it:** three structural anchors.
 1. **The MANDATORY first-line badge** (`🌐 last30days v{VERSION} · synced {YYYY-MM-DD}`) at the top of every response is the LAW 2 / LAW 4 enforcement anchor. See "BADGE (MANDATORY, FIRST LINE OF OUTPUT)" in the synthesis section.
-2. **The pinned SKILL_ROOT resolution** in the engine Bash calls always points to the public plugin cache, never `~/.openclaw/` or other stale copies.
+2. **The SKILL_ROOT resolver** in the engine Bash calls walks a precedence list of known install locations and picks the highest-versioned freshest copy, never `~/.openclaw/` or other stale copies.
 3. **This preface** tells you plainly: do NOT improvise. Follow SKILL.md top to bottom.

 If you catch yourself about to write a `##` section header in a GENERAL-query body, a custom title line, a `Sources:` bullet list, a `for dir in ...` path-discovery loop, or a bare `python3 scripts/last30days.py "{TOPIC}"` engine call with no pre-flight flags — stop. Those are the exact failure modes the LAWs and this contract exist to prevent. The 10/10 beta validation from 2026-04-18 and the 0/8 public v3.0.6 regression from the same day had THE SAME MODEL and SIMILAR SKILL.md CONTENT; the delta is the three anchors this release restores. Read SKILL.md top to bottom before emitting your first response.
@@ -105,7 +114,7 @@ These anchors used to live at line 1094 of this file. Three independent Opus 4.7
 🌐 last30days v{VERSION} · synced {YYYY-MM-DD}
 ```

-Replace `{VERSION}` with the installed plugin version (`jq -r '.version' "$SKILL_ROOT/../../.codex-plugin/plugin.json" 2>/dev/null || jq -r '.version' "$SKILL_ROOT/.claude-plugin/plugin.json"`) and `{YYYY-MM-DD}` with today's date. No other text on this line. One blank line after, then the synthesis begins.
+Replace `{VERSION}` with the installed plugin version (`jq -r '.version' "$SKILL_ROOT/../../.claude-plugin/plugin.json" 2>/dev/null || awk '/^version:/{gsub(/"/,"",$2); print $2; exit}' "$SKILL_ROOT/SKILL.md"`) and `{YYYY-MM-DD}` with today's date. No other text on this line. One blank line after, then the synthesis begins.

 **Why the badge is MANDATORY:** it is the structural anchor for the canonical output shape. Without it the model drifts into blog-post narrative format with `##` section headers and invented titles, violating LAW 2 and LAW 4. The 2026-04-18 public v3.0.6 0/8 regression produced outputs with section headers like "The headline", "Why he is everywhere", "1. gstack dominates", "The 'Homecoming' peak". Direct cause: this anchor was absent. Do NOT skip the badge. Do NOT describe it. Do NOT paraphrase it. Emit it verbatim as line 1.

@@ -177,13 +186,13 @@ The self-evolving loop is the sticky use case. Every 15 tool calls Hermes pauses
 Cron-scheduled autonomous briefings are the most-cited concrete workflow. r/TunisiaTech's "Use cases of OpenClaw, Hermes Agent" thread says it plainly: "Currently I have daily cron jobs for news briefing, but I know there's much more I can do."
 ```

-**LAW 7 - YOU ARE THE PLANNER. `--plan` IS MANDATORY ON NAMED-ENTITY TOPICS.** If you are the reasoning model hosting this skill (Claude Code, Codex, Hermes, Gemini, or any agent runtime that invoked `/last30days`), YOU generate the JSON query plan. You do not need an API key, "LLM provider" credentials, or an external planning service - you ARE the LLM. The `--plan` flag exists precisely so a reasoning model generates its own plan upstream and passes it to the engine. The engine's internal planner and deterministic fallback are headless/cron paths only; on any reasoning-model path, bypass them by passing `--plan '$JSON'`.
+**LAW 7 - YOU ARE THE PLANNER. `--plan` IS MANDATORY ON NAMED-ENTITY TOPICS.** If you are the reasoning model hosting this skill (Claude Code, Codex, Hermes, Gemini, or any agent runtime that invoked `/last30days`), YOU generate the JSON query plan. You do not need an API key, "LLM provider" credentials, or an external planning service - you ARE the LLM. The `--plan` flag exists precisely so a reasoning model generates its own plan upstream and passes it to the engine. The engine's internal planner and deterministic fallback are headless/cron paths only; on any reasoning-model path, bypass them by passing `--plan "$QUERY_PLAN_FILE"` (the path to a tmpfile you wrote via heredoc — see Step 1 for the pattern; never inline `--plan '$JSON'`, apostrophes in search/ranking strings break shell parsing).

-Named-entity topics (capitalized proper nouns, product names, person names, project names, or any topic that would benefit from handle resolution in Step 0.55) REQUIRE `--plan`. Your invocation of `scripts/last30days.py` MUST contain `--plan '$JSON'`. A bare `python3 scripts/last30days.py "$TOPIC" --emit=compact` on a named-entity topic is a LAW 7 violation. Before you invoke Bash, self-check: does my command contain `--plan`? If no, STOP and generate a plan first (see Step 0.75 for the schema).
+Named-entity topics (capitalized proper nouns, product names, person names, project names, or any topic that would benefit from handle resolution in Step 0.55) REQUIRE `--plan`. Your invocation of `scripts/last30days.py` MUST contain `--plan "$QUERY_PLAN_FILE"` (or any path the engine can read). A bare `python3 scripts/last30days.py "$TOPIC" --emit=compact` on a named-entity topic is a LAW 7 violation. Before you invoke Bash, self-check: does my command contain `--plan`? If no, STOP and generate a plan first (see Step 0.75 for the schema).

 **Observed LAW 7 violation (2026-04-19, Hermes Agent Use Cases Run 1):** the model called the engine bare with no `--plan`, no pre-flight handle resolution. The engine emitted a stderr warning ("No --plan and no LLM provider configured. Using deterministic fallback...") which the model read as a capability constraint ("I don't have a key, I can't do LLM stuff") instead of as what it actually was: a reminder that the reasoning model skipped its own planning step. The misread came from the word "provider" - the engine uses "provider" to mean "the key for the engine's INTERNAL planner," but the model parsed it as "I need a provider to plan at all." You do not. You ARE the provider. Run 2 of the same topic (2026-04-19, framed as "best workflows") with the same model and same cache generated the plan itself via `--plan` and produced clean results - the delta was this step.

-**Self-check before Bash:** re-read your pending `scripts/last30days.py` command. Does it contain `--plan '$JSON'`? If no, and the topic is a named entity, STOP. Return to Step 0.75 and generate the plan. Do not interpret the word "provider" in any engine message as "you need credentials" - you are the provider.
+**Self-check before Bash:** re-read your pending `scripts/last30days.py` command. Does it contain `--plan "$QUERY_PLAN_FILE"` (or another path the engine can read)? If no, and the topic is a named entity, STOP. Return to Step 0.75 and generate the plan, then write it to a tmpfile per the Step 1 pattern. Do not interpret the word "provider" in any engine message as "you need credentials" - you are the provider.

 **LAW 8 - EVERY CITATION IN THE NARRATIVE IS AN INLINE MARKDOWN LINK `[name](url)`. NEVER A RAW URL STRING. NEVER A PLAIN NAME WHEN A URL IS AVAILABLE.** Applies to every query type. In the "What I learned:" narrative, in KEY PATTERNS, and in the COMPARISON body sections, every cited @handle, r/subreddit, publication, YouTube channel, TikTok creator, Instagram creator, and Polymarket market is wrapped as `[name](url)` at first mention. The URL comes from the raw research dump — every engine item carries a URL; WebSearch supplements carry URLs in their own output. Claude Code renders `[text](url)` as blue CMD-clickable text; the URL is hidden in the rendering, only the link text shows. The stats footer (emoji-tree block) is engine-emitted per LAW 5 and passes through verbatim — do NOT reformat its links yourself.

@@ -234,7 +243,7 @@ If your Bash call to `last30days.py` does NOT include the FULL pre-flight checkl

 ---

-# last30days v3.2.0: Research Any Topic from the Last 30 Days
+# last30days v3.2.3: Research Any Topic from the Last 30 Days

 > **Permissions overview:** Reads public web/platform data and optionally saves research briefings to `LAST30DAYS_MEMORY_DIR` (defaults 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.

@@ -318,7 +327,7 @@ Common patterns:

 - Always active: Reddit, Hacker News, Polymarket
 - If gh CLI is installed (check `which gh`): add GitHub
- If digg-pp-cli is installed (check `which digg-pp-cli`): add Digg AI 1000
+- If digg-pp-cli is installed (check `which digg-pp-cli`): add Digg
 - If AUTH_TOKEN/CT0 or XAI_API_KEY or FROM_BROWSER is set, or xurl CLI is installed and authenticated: add X
 - If yt-dlp is installed (check `which yt-dlp`): add YouTube
 - If SCRAPECREATORS_API_KEY is set and INCLUDE_SOURCES contains tiktok: add TikTok
@@ -583,18 +592,56 @@ When the user asks "X vs Y" (or "X vs Y vs Z"), the engine fans out N full `pipe

 **Invocation:**
 ```bash
+# Comparison mode skips Step 1, so resolve SKILL_ROOT inline here (same precedence
+# walk as Step 1 — keep the two in sync if you edit either).
+SKILL_ROOT=""
+CLAUDE_PLUGIN_ROOT="$(find "$HOME/.claude/plugins/cache/last30days-skill/last30days" -mindepth 1 -maxdepth 1 -type d 2>/dev/null | sort -V | tail -1)"
+if [ -n "$CLAUDE_PLUGIN_ROOT" ]; then
+  if [ -f "$CLAUDE_PLUGIN_ROOT/skills/last30days/scripts/last30days.py" ]; then
+    SKILL_ROOT="$CLAUDE_PLUGIN_ROOT/skills/last30days"
+  elif [ -f "$CLAUDE_PLUGIN_ROOT/scripts/last30days.py" ]; then
+    SKILL_ROOT="$CLAUDE_PLUGIN_ROOT"
+  fi
+fi
+if [ -z "$SKILL_ROOT" ] || [ ! -f "$SKILL_ROOT/scripts/last30days.py" ]; then
+  for dir in \
+      "$HOME/.codex/skills/last30days" \
+      "$HOME/.agents/skills/last30days" \
+      "./skills/last30days" \
+      "./.skills/last30days" \
+      "." \
+      "${GEMINI_EXTENSION_DIR:-}"; do
+    [ -n "$dir" ] && [ -f "$dir/scripts/last30days.py" ] && SKILL_ROOT="$dir" && break
+  done
+fi
+
+# Write the per-entity plan to a tmpfile and pass the path to the engine.
+# The engine's parse_competitors_plan() reads file paths transparently. This
+# avoids the inline-single-quoted-JSON apostrophe trap (resolved context
+# strings like "people's choice" or "McDonald's" otherwise close the outer
+# single-quote and break shell parsing before the engine is even invoked).
+# Trailing XXXXXX (no .json suffix) so BSD/macOS mktemp works the same as
+# GNU; BSD only substitutes X's at the end of the template.
+COMPETITORS_PLAN_FILE=$(mktemp "${TMPDIR:-/tmp}/last30days-competitors.XXXXXX")
+trap 'rm -f "$COMPETITORS_PLAN_FILE"' EXIT
+cat > "$COMPETITORS_PLAN_FILE" <<'PLAN_EOF'
+{
+  "{TOPIC_B}": {"x_handle":"{TOPIC_B_HANDLE}","subreddits":["{TOPIC_B_SUB_1}","{TOPIC_B_SUB_2}"],"github_user":"{TOPIC_B_GH}","context":"{TOPIC_B_CONTEXT}"},
+  "{TOPIC_C}": {"x_handle":"{TOPIC_C_HANDLE}","subreddits":["{TOPIC_C_SUB_1}"],"github_user":"{TOPIC_C_GH}","context":"{TOPIC_C_CONTEXT}"}
+}
+PLAN_EOF
+
 "${LAST30DAYS_PYTHON}" "${SKILL_ROOT}/scripts/last30days.py" "{TOPIC_A} vs {TOPIC_B} vs {TOPIC_C}" \
  --emit=compact \
  --save-dir="${LAST30DAYS_MEMORY_DIR}" \
  --save-suffix=v3 \
  --x-handle={TOPIC_A_HANDLE} \
  --subreddits={TOPIC_A_SUBS} \
-  --competitors-plan '{
-    "{TOPIC_B}": {"x_handle":"{TOPIC_B_HANDLE}","subreddits":["{TOPIC_B_SUB_1}","{TOPIC_B_SUB_2}"],"github_user":"{TOPIC_B_GH}","context":"{TOPIC_B_CONTEXT}"},
-    "{TOPIC_C}": {"x_handle":"{TOPIC_C_HANDLE}","subreddits":["{TOPIC_C_SUB_1}"],"github_user":"{TOPIC_C_GH}","context":"{TOPIC_C_CONTEXT}"}
-  }'
+  --competitors-plan "$COMPETITORS_PLAN_FILE"
 ```

+**The quoted heredoc marker `'PLAN_EOF'` is load-bearing** — quoting suppresses shell interpolation so apostrophes, `$`, backticks, etc. pass through verbatim. If you ever switch to an unquoted `<<PLAN_EOF`, every variable reference and apostrophe inside the JSON becomes a parse hazard.
+
 Topic A (the main topic, first in the vs-string) uses outer `--x-handle`, `--x-related`, `--subreddits`, `--github-user`, `--github-repo`, `--tiktok-*`, `--ig-creators` as usual. Topics B and C get their targeting from `--competitors-plan` entries (keyed by entity name, case-insensitive).

 **Step 0.55 for N entities.** The same pre-research protocol that applies to a single-entity topic applies to EACH entity in a vs-run. For N=3, that means 3 WebSearches for X handles, 3 for subreddits, 3 for GitHub, 3 for news context — or equivalent batched queries. A `## Resolved Entities` block with dashes for any entity means you skipped Step 0.55 for that one. Re-run with a corrected plan.
@@ -826,7 +873,7 @@ Only show lines for platforms where something was resolved. Skip empty lines. On
 - For how_to: prioritize YouTube (tutorials) and Reddit (guides)
 - Primary subquery weight = 1.0, secondary = 0.6-0.8, peripheral = 0.3-0.5

-**Available sources (include ALL in primary subquery):** reddit, x, youtube, tiktok, instagram, hackernews, polymarket. Optional: bluesky, truthsocial, threads, pinterest, grounding (web search - only if user has Brave/Exa/Serper key), digg (Digg AI 1000 clusters - only if `digg-pp-cli` is on PATH)
+**Available sources (include ALL in primary subquery):** reddit, x, youtube, tiktok, instagram, hackernews, polymarket. Optional: bluesky, truthsocial, threads, pinterest, grounding (web search - only if user has Brave/Exa/Serper key), digg (Digg clusters - only if `digg-pp-cli` is on PATH)

 **Intent → freshness_mode mapping:**
 - breaking_news, prediction → `strict_recent`
@@ -869,44 +916,65 @@ Store your plan as `QUERY_PLAN_JSON` - you'll pass it to the script in the next
 **IMPORTANT: Include `--x-handle={RESOLVED_HANDLE}` in the command. For comparison mode: Pass `--x-handle={TOPIC_A_HANDLE}` to the first pass, `--x-handle={TOPIC_B_HANDLE}` to the second pass, and both to the head-to-head pass. Also include `--subreddits={RESOLVED_SUBREDDITS}`, `--tiktok-hashtags={RESOLVED_HASHTAGS}`, `--tiktok-creators={RESOLVED_TIKTOK_CREATORS}`, and `--ig-creators={RESOLVED_IG_CREATORS}` from Step 0.55. Omit any flag where the value was not resolved (empty).**

 ```bash
-# PIN SKILL_ROOT to an installed plugin cache first (highest-version dir wins on upgrade).
-# Prefer Codex's skill package path when installed as a Codex plugin. Keep the Claude
-# plugin-root fallback for other hosts, then fall back to a repo checkout.
-SKILL_ROOT="$(ls -d "$HOME/.codex/plugins/cache/"*/last30days/*/skills/last30days/ 2>/dev/null | sort -V | tail -1)"
-SKILL_ROOT="${SKILL_ROOT%/}"
+# Resolve SKILL_ROOT by walking a precedence list of known install locations.
+# Claude Code plugin cache wins when present (highest version dir picked on upgrade),
+# then common per-harness skill dirs, then a repo checkout.
+SKILL_ROOT=""

-# Fallback for Claude plugin cache.
-if [ -z "$SKILL_ROOT" ] || [ ! -f "$SKILL_ROOT/scripts/last30days.py" ]; then
-  CLAUDE_PLUGIN_ROOT="$(ls -d "$HOME/.claude/plugins/cache/last30days-skill/last30days/"*/ 2>/dev/null | sort -V | tail -1)"
-  CLAUDE_PLUGIN_ROOT="${CLAUDE_PLUGIN_ROOT%/}"
-  if [ -n "$CLAUDE_PLUGIN_ROOT" ]; then
-    if [ -f "$CLAUDE_PLUGIN_ROOT/skills/last30days/scripts/last30days.py" ]; then
-      SKILL_ROOT="$CLAUDE_PLUGIN_ROOT/skills/last30days"
-    elif [ -f "$CLAUDE_PLUGIN_ROOT/scripts/last30days.py" ]; then
-      SKILL_ROOT="$CLAUDE_PLUGIN_ROOT"
-    fi
+# 1. Claude Code plugin cache (versioned, sort -V picks freshest). Two cache layouts ship in the wild:
+#    nested ({cache}/{version}/skills/last30days/scripts/...) and flat ({cache}/{version}/scripts/...).
+# `find` (not `ls + glob`) because zsh errors on globs that match nothing, leaking
+# noisy "no matches found" stderr in Codex/zsh sessions even with 2>/dev/null.
+CLAUDE_PLUGIN_ROOT="$(find "$HOME/.claude/plugins/cache/last30days-skill/last30days" -mindepth 1 -maxdepth 1 -type d 2>/dev/null | sort -V | tail -1)"
+if [ -n "$CLAUDE_PLUGIN_ROOT" ]; then
+  if [ -f "$CLAUDE_PLUGIN_ROOT/skills/last30days/scripts/last30days.py" ]; then
+    SKILL_ROOT="$CLAUDE_PLUGIN_ROOT/skills/last30days"
+  elif [ -f "$CLAUDE_PLUGIN_ROOT/scripts/last30days.py" ]; then
+    SKILL_ROOT="$CLAUDE_PLUGIN_ROOT"
  fi
 fi

-# Fallback for repo checkout / Gemini / local development hosts where the plugin cache does not exist.
+# 2. Common per-harness skill dirs and repo checkout (npx skills, Codex, Agents, Gemini, etc).
 if [ -z "$SKILL_ROOT" ] || [ ! -f "$SKILL_ROOT/scripts/last30days.py" ]; then
-  for dir in "." "./skills/last30days" "${CLAUDE_PLUGIN_ROOT:-}" "${GEMINI_EXTENSION_DIR:-}"; do
+  for dir in \
+      "$HOME/.codex/skills/last30days" \
+      "$HOME/.agents/skills/last30days" \
+      "./skills/last30days" \
+      "./.skills/last30days" \
+      "." \
+      "${GEMINI_EXTENSION_DIR:-}"; do
    [ -n "$dir" ] && [ -f "$dir/scripts/last30days.py" ] && SKILL_ROOT="$dir" && break
  done
 fi

 if [ -z "${SKILL_ROOT:-}" ] || [ ! -f "$SKILL_ROOT/scripts/last30days.py" ]; then
-  echo "ERROR: Could not find scripts/last30days.py in Codex/Claude plugin cache or repo checkout" >&2
-  echo "Expected Codex: $HOME/.codex/plugins/cache/{MARKETPLACE}/last30days/{VERSION}/skills/last30days/scripts/last30days.py" >&2
-  echo "Expected Claude: $HOME/.claude/plugins/cache/last30days-skill/last30days/{VERSION}/skills/last30days/scripts/last30days.py" >&2
+  echo "ERROR: Could not find scripts/last30days.py in any known install location" >&2
+  echo "Searched: ~/.claude/plugins/cache/, ~/.codex/skills/, ~/.agents/skills/, ./skills/last30days, ./.skills/last30days, ." >&2
  exit 1
 fi

 "${LAST30DAYS_PYTHON}" "${SKILL_ROOT}/scripts/last30days.py" $ARGUMENTS --emit=compact --save-dir="${LAST30DAYS_MEMORY_DIR}" --save-suffix=v3
 ```

-**If you ran Steps 0.55 and 0.75 (agent planning), add these flags:**
- `--plan 'QUERY_PLAN_JSON'` (replace with actual JSON from Step 0.75)
+**If you ran Steps 0.55 and 0.75 (agent planning), pass the plan via a tmpfile and add the targeting flags:**
+
+```bash
+# Write QUERY_PLAN_JSON to a tmpfile before the engine invocation above.
+# parse_plan() reads file paths transparently; this avoids inline-JSON
+# shell-quoting hazards (apostrophes in search_query / ranking_query
+# strings break single-quoted command-line JSON). Trailing XXXXXX (no
+# .json suffix) for BSD/macOS portability — BSD mktemp only substitutes
+# X's at the end of the template.
+QUERY_PLAN_FILE=$(mktemp "${TMPDIR:-/tmp}/last30days-plan.XXXXXX")
+trap 'rm -f "$QUERY_PLAN_FILE"' EXIT
+cat > "$QUERY_PLAN_FILE" <<'PLAN_EOF'
+{QUERY_PLAN_JSON_FROM_STEP_0.75}
+PLAN_EOF
+```
+
+Then add to the engine command:
+
+- `--plan "$QUERY_PLAN_FILE"` (path to the file you just wrote)
 - `--x-handle={RESOLVED_HANDLE}` (from Step 0.5)
 - `--subreddits={RESOLVED_SUBREDDITS}` (from Step 0.55)
 - `--tiktok-hashtags={RESOLVED_HASHTAGS}` (from Step 0.55)
@@ -44,8 +44,9 @@ ENRICH_CONFIG = {
    "deep": 5,
 }

-# X posts pulled per enriched cluster.
-POSTS_PER_CLUSTER = 3
+# X posts pulled per enriched cluster. Matches the 5-comment cap used by
+# Reddit/HN/YouTube/TikTok/GitHub enrichment.
+POSTS_PER_CLUSTER = 5

 SEARCH_TIMEOUT = 30
 POSTS_TIMEOUT = 15
@@ -285,9 +286,9 @@ def parse_digg_response(
                "posts": [],
                "relevance": round(relevance, 2),
                "why_relevant": (
-                    f"Digg AI 1000 cluster (rank {rank}, {post_count} posts, {unique_authors} authors)"
+                    f"Digg cluster (rank {rank}, {post_count} posts, {unique_authors} authors)"
                    if rank is not None
-                    else f"Digg AI 1000 cluster ({post_count} posts, {unique_authors} authors)"
+                    else f"Digg cluster ({post_count} posts, {unique_authors} authors)"
                ),
            }
        )
@@ -12,11 +12,6 @@ import sys
 from datetime import datetime
 from typing import Any, Dict, List, Optional, Set

-try:
-    import requests as _requests
-except ImportError:
-    _requests = None
-
 from . import dates, http, log

 SCRAPECREATORS_BASE = "https://api.scrapecreators.com"
@@ -236,30 +231,17 @@ def _user_reels(
    """
    _log(f"User reels: @{handle}")
    reels_url = f"{SCRAPECREATORS_BASE}/v1/instagram/user/reels"
-    if not _requests:
-        try:
-            from urllib.parse import urlencode
-            params = urlencode({"handle": handle})
-            url = f"{reels_url}?{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 e:
-            _log(f"User reels error (urllib) for @{handle}: {e}")
-            return []
-    else:
-        try:
-            resp = _requests.get(
-                reels_url,
-                params={"handle": handle},
-                headers=http.scrapecreators_headers(token),
-                timeout=30,
-            )
-            resp.raise_for_status()
-            data = resp.json()
-        except Exception as e:
-            _log(f"User reels error for @{handle}: {e}")
-            return []
+    try:
+        data = http.get(
+            reels_url,
+            params={"handle": handle},
+            headers=http.scrapecreators_headers(token),
+            timeout=30,
+            retries=2,
+        )
+    except Exception as e:
+        _log(f"User reels error for @{handle}: {e}")
+        return []

    raw_items = data.get("items") or data.get("reels") or data.get("data") or []
    _log(f"  -> {len(raw_items)} reels from @{handle}")
@@ -293,31 +275,17 @@ def search_instagram(

    _log(f"Searching Instagram for '{core_topic}' (depth={depth}, count={config['results_per_page']})")

-    if not _requests:
-        _log("requests library not installed, falling back to urllib")
-        try:
-            from urllib.parse import urlencode
-            params = urlencode({"query": core_topic})
-            url = f"{SCRAPECREATORS_BASE}/v2/instagram/reels/search?{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 e:
-            _log(f"ScrapeCreators error (urllib): {e}")
-            return {"items": [], "error": f"{type(e).__name__}: {e}"}
-    else:
-        try:
-            resp = _requests.get(
-                f"{SCRAPECREATORS_BASE}/v2/instagram/reels/search",
-                params={"query": core_topic},
-                headers=http.scrapecreators_headers(token),
-                timeout=30,
-            )
-            resp.raise_for_status()
-            data = resp.json()
-        except Exception as e:
-            _log(f"ScrapeCreators error: {e}")
-            return {"items": [], "error": f"{type(e).__name__}: {e}"}
+    try:
+        data = http.get(
+            f"{SCRAPECREATORS_BASE}/v2/instagram/reels/search",
+            params={"query": core_topic},
+            headers=http.scrapecreators_headers(token),
+            timeout=30,
+            retries=2,
+        )
+    except Exception as e:
+        _log(f"ScrapeCreators error: {e}")
+        return {"items": [], "error": f"{type(e).__name__}: {e}"}

    # Items are in the 'reels' array (ScrapeCreators v2 response)
    raw_items = data.get("reels") or data.get("items") or data.get("data") or []
@@ -367,7 +335,7 @@ def fetch_captions(
    config = DEPTH_CONFIG.get(depth, DEPTH_CONFIG["default"])
    max_captions = config["max_captions"]

-    if not video_items or not token or not _requests:
+    if not video_items or not token:
        return {}

    top_items = video_items[:max_captions]
@@ -392,26 +360,24 @@ def fetch_captions(
        if not url:
            continue
        try:
-            resp = _requests.get(
+            data = http.get(
                f"{SCRAPECREATORS_BASE}/v2/instagram/media/transcript",
                params={"url": url},
                headers=http.scrapecreators_headers(token),
                timeout=15,
+                retries=1,
            )
-            if resp.status_code == 200:
-                data = resp.json()
-                transcripts = data.get("transcripts") or []
-                if transcripts and isinstance(transcripts, list):
-                    # Combine all transcript segments
-                    transcript_text = " ".join(
-                        t.get("text", "") for t in transcripts
-                        if isinstance(t, dict) and t.get("text")
-                    )
-                    if transcript_text:
-                        words = transcript_text.split()
-                        if len(words) > CAPTION_MAX_WORDS:
-                            transcript_text = ' '.join(words[:CAPTION_MAX_WORDS]) + '...'
-                        captions[vid] = transcript_text
+            transcripts = data.get("transcripts") or []
+            if transcripts and isinstance(transcripts, list):
+                transcript_text = " ".join(
+                    t.get("text", "") for t in transcripts
+                    if isinstance(t, dict) and t.get("text")
+                )
+                if transcript_text:
+                    words = transcript_text.split()
+                    if len(words) > CAPTION_MAX_WORDS:
+                        transcript_text = ' '.join(words[:CAPTION_MAX_WORDS]) + '...'
+                    captions[vid] = transcript_text
        except Exception as e:
            _log(f"Transcript fetch failed for {vid}: {e}")

@@ -412,7 +412,7 @@ def _normalize_digg(
    Each cluster is one item. The TLDR carries the most useful body for
    rerank and synthesis. Top-ranked X posts attached at search time are
    passed through under metadata['posts'] so render can emit them as
-    inline 'via Digg AI 1000' quotes.
+    inline 'via Digg' quotes.
    """
    title = str(item.get("title") or "").strip()
    tldr = str(item.get("tldr") or "").strip()
@@ -428,7 +428,7 @@ def _normalize_digg(
        body=body,
        url=str(item.get("url") or f"https://di.gg/ai/{cluster_url_id}"),
        author="",
-        container="Digg AI 1000",
+        container="Digg",
        published_at=item.get("date"),
        date_confidence=_date_confidence(item, from_date, to_date, default="high"),
        engagement=item.get("engagement") or {},
@@ -11,11 +11,6 @@ import re
 import sys
 from typing import Any, Dict, List, Optional, Set

-try:
-    import requests as _requests
-except ImportError:
-    _requests = None
-
 from . import dates, http, log

 SCRAPECREATORS_BASE = "https://api.scrapecreators.com/v1/pinterest"
@@ -140,31 +135,17 @@ def search_pinterest(

    _log(f"Searching Pinterest for '{core_topic}' (depth={depth}, count={config['results_per_page']})")

-    if not _requests:
-        _log("requests library not installed, falling back to urllib")
-        try:
-            from urllib.parse import urlencode
-            params = urlencode({"keyword": core_topic})
-            url = f"{SCRAPECREATORS_BASE}/search?{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 e:
-            _log(f"ScrapeCreators error (urllib): {e}")
-            return {"items": [], "error": f"{type(e).__name__}: {e}"}
-    else:
-        try:
-            resp = _requests.get(
-                f"{SCRAPECREATORS_BASE}/search",
-                params={"keyword": core_topic},
-                headers=http.scrapecreators_headers(token),
-                timeout=30,
-            )
-            resp.raise_for_status()
-            data = resp.json()
-        except Exception as e:
-            _log(f"ScrapeCreators error: {e}")
-            return {"items": [], "error": f"{type(e).__name__}: {e}"}
+    try:
+        data = http.get(
+            f"{SCRAPECREATORS_BASE}/search",
+            params={"keyword": core_topic},
+            headers=http.scrapecreators_headers(token),
+            timeout=30,
+            retries=2,
+        )
+    except Exception as e:
+        _log(f"ScrapeCreators error: {e}")
+        return {"items": [], "error": f"{type(e).__name__}: {e}"}

    # Extract items from response - try common SC response shapes
    raw_items = data.get("pins") or data.get("results") or data.get("data") or data.get("items") or []
@@ -538,7 +538,7 @@ def _finalize_items_by_source(
        if source == "digg" and items:
            # Pull top-ranked X posts only for the survivors that will appear
            # in the brief. Spending the enrichment budget here (rather than
-            # at retrieval time) keeps the inline 'via Digg AI 1000' quotes
+            # at retrieval time) keeps the inline 'via Digg' quotes
            # paired with the clusters dedupe actually kept.
            digg.enrich_source_items(items, top_k=3)
        finalized[source] = items
@@ -1078,7 +1078,7 @@ def _mock_stream_results(source: str, subquery: schema.SubQuery) -> tuple[list[d
        "digg": [
            {
                "id": "mock1abc",
-                "title": f"Digg AI 1000 cluster about {subquery.search_query}",
+                "title": f"Digg cluster about {subquery.search_query}",
                "url": "https://di.gg/ai/mock1abc",
                "tldr": f"Curated cluster summarizing recent {subquery.search_query} discussion across the AI 1000.",
                "author": "",
@@ -4,6 +4,7 @@ from __future__ import annotations

 import json
 import pathlib
+import re
 from collections import Counter
 from datetime import date
 from urllib.parse import urlparse
@@ -11,22 +12,47 @@ from urllib.parse import urlparse
 from . import dates, schema


-def _skill_version() -> str:
-    """Read plugin version from a plugin manifest if available.
+_VERSION_RE = re.compile(
+    r'''^version:\s*(?:"([^"]+)"|'([^']+)'|(\S+))\s*$''',
+    re.MULTILINE,
+)

-    Tries nearest plugin.json by walking up from render.py's own location.
-    Falls back to "?" if not found. This keeps the badge emission from
-    crashing on non-plugin-cache installs (repo checkout, Gemini, Codex).
+
+def _skill_version() -> str:
+    """Read plugin version from .claude-plugin/plugin.json, falling back to SKILL.md frontmatter.
+
+    Per-harness skill install dirs (`~/.claude/skills`, `~/.codex/skills`, `~/.agents/skills`,
+    Hermes, etc.) do not always carry `.claude-plugin/plugin.json` — that file ships with
+    plugin-cache installs but not with per-harness skill installs. SKILL.md frontmatter is
+    the fallback that keeps the badge from emitting v? on those installs. Returns "?" only
+    if both sources are missing.
+
+    A corrupt manifest at one ancestor does not shadow a valid manifest at a deeper one
+    (continue, not break). YAML frontmatter accepts double-quoted, single-quoted, or
+    unquoted version scalars.
    """
    here = pathlib.Path(__file__).resolve()
-    for parent in [here.parent, *here.parents]:
-        for manifest_dir in (".codex-plugin", ".claude-plugin"):
-            candidate = parent / manifest_dir / "plugin.json"
-            if candidate.is_file():
-                try:
-                    return json.loads(candidate.read_text()).get("version", "?")
-                except (json.JSONDecodeError, OSError):
-                    return "?"
+    for parent in here.parents:
+        manifest = parent / ".claude-plugin" / "plugin.json"
+        if manifest.is_file():
+            try:
+                version = json.loads(manifest.read_text()).get("version")
+            except (json.JSONDecodeError, OSError):
+                continue
+            if version:
+                return version
+
+    # No usable manifest found at any ancestor — fall back to SKILL.md frontmatter.
+    for parent in here.parents:
+        skill_md = parent / "SKILL.md"
+        if skill_md.is_file():
+            try:
+                match = _VERSION_RE.search(skill_md.read_text())
+            except (OSError, UnicodeDecodeError):
+                break
+            if match:
+                return next(g for g in match.groups() if g is not None)
+            break
    return "?"


@@ -53,7 +79,7 @@ SOURCE_LABELS = {
    "xiaohongshu": "Xiaohongshu",
    "x": "X",
    "github": "GitHub",
-    "digg": "Digg AI 1000",
+    "digg": "Digg",
    "perplexity": "Perplexity",
 }

@@ -853,7 +879,7 @@ def render_full(report: schema.Report) -> str:
                    tc_score = tc.get("score", "")
                    attribution = _comment_attribution(item.source, tc.get("author"))
                    lines.append(f"  Top comment {attribution} ({tc_score} {vote_label}): {excerpt}")
-            # Digg AI 1000: inline X-post quotes attached to the cluster.
+            # Digg: inline X-post quotes attached to the cluster.
            for post in _digg_posts_for(item, limit=3):
                lines.append(f"  > {_format_digg_quote(post)}")
            # Comment insights for Reddit
@@ -1229,7 +1255,7 @@ _FOOTER_SOURCES: list[tuple[str, str, str, str, list[tuple[str, str]]]] = [
    ("bluesky",     "🦋", "Bluesky",      "post",     [("likes", "likes"), ("reposts", "reposts")]),
    ("truthsocial", "🇺🇸", "Truth Social", "post",     [("likes", "likes"), ("reposts", "reposts")]),
    ("github",      "🐙", "GitHub",       "item",     [("reactions", "reactions"), ("comments", "comments")]),
-    ("digg",        "⛏️", "Digg AI 1000", "cluster",  [("postCount", "posts"), ("uniqueAuthors", "authors")]),
+    ("digg",        "⛏️", "Digg",         "cluster",  [("postCount", "posts"), ("uniqueAuthors", "authors")]),
 ]


@@ -1684,7 +1710,7 @@ def _comment_insight(item: schema.SourceItem | None) -> str | None:
    return str(insights[0]).strip() or None


-def _digg_posts_for(item: schema.SourceItem | None, limit: int = 2) -> list[dict]:
+def _digg_posts_for(item: schema.SourceItem | None, limit: int = 3) -> list[dict]:
    """Return up to `limit` parsed Digg posts attached as enrichment to a cluster.

    Returns an empty list for non-digg sources or clusters without enrichment.
@@ -1704,17 +1730,17 @@ def _digg_posts_for(item: schema.SourceItem | None, limit: int = 2) -> list[dict


 def _format_digg_quote(post: dict, body_limit: int = 200) -> str:
-    """Format a Digg-attached X post as an inline 'via Digg AI 1000' quote line."""
+    """Format a Digg-attached X post as an inline 'via Digg' quote line."""
    handle = post.get("username") or ""
    x_url = post.get("x_url") or ""
    body = (post.get("body") or "").replace("\n", " ").strip()
    if len(body) > body_limit:
        body = body[: body_limit - 1].rstrip() + "…"
    if x_url and handle:
-        return f"[@{handle}]({x_url}) via Digg AI 1000: {body}"
+        return f"[@{handle}]({x_url}) via Digg: {body}"
    if handle:
-        return f"@{handle} via Digg AI 1000: {body}"
-    return f"via Digg AI 1000: {body}"
+        return f"@{handle} via Digg: {body}"
+    return f"via Digg: {body}"


 def _transcript_highlights(item: schema.SourceItem | None) -> list[str]:
@@ -152,35 +152,16 @@ def search_threads(
    _log(f"Searching for '{core_topic}' (depth={depth}, limit={config['results']})")

    try:
-        import requests as _requests
-    except ImportError:
-        _requests = None
-
-    if not _requests:
-        _log("requests library not installed, falling back to urllib")
-        try:
-            from urllib.parse import urlencode
-            params = urlencode({"keyword": core_topic})
-            url = f"{SCRAPECREATORS_BASE}/search?{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 e:
-            _log(f"ScrapeCreators error (urllib): {e}")
-            return {"items": [], "error": f"{type(e).__name__}: {e}"}
-    else:
-        try:
-            resp = _requests.get(
-                f"{SCRAPECREATORS_BASE}/search",
-                params={"keyword": core_topic},
-                headers=http.scrapecreators_headers(token),
-                timeout=30,
-            )
-            resp.raise_for_status()
-            data = resp.json()
-        except Exception as e:
-            _log(f"ScrapeCreators error: {e}")
-            return {"items": [], "error": f"{type(e).__name__}: {e}"}
+        data = http.get(
+            f"{SCRAPECREATORS_BASE}/search",
+            params={"keyword": core_topic},
+            headers=http.scrapecreators_headers(token),
+            timeout=30,
+            retries=2,
+        )
+    except Exception as e:
+        _log(f"ScrapeCreators error: {e}")
+        return {"items": [], "error": f"{type(e).__name__}: {e}"}

    # Extract items from response (try common SC response shapes)
    raw_items = (
@@ -11,11 +11,6 @@ import re
 import sys
 from typing import Any, Dict, List, Optional, Set

-try:
-    import requests as _requests
-except ImportError:
-    _requests = None
-
 from . import dates, http, log

 SCRAPECREATORS_BASE = "https://api.scrapecreators.com/v1/tiktok"
@@ -214,30 +209,17 @@ def _hashtag_search(
        List of raw TikTok item dicts (aweme_info format).
    """
    _log(f"Hashtag search: #{hashtag}")
-    if not _requests:
-        try:
-            from urllib.parse import urlencode
-            params = urlencode({"hashtag": hashtag})
-            url = f"{SCRAPECREATORS_BASE}/search/hashtag?{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 e:
-            _log(f"Hashtag search error (urllib) for #{hashtag}: {e}")
-            return []
-    else:
-        try:
-            resp = _requests.get(
-                f"{SCRAPECREATORS_BASE}/search/hashtag",
-                params={"hashtag": hashtag},
-                headers=http.scrapecreators_headers(token),
-                timeout=30,
-            )
-            resp.raise_for_status()
-            data = resp.json()
-        except Exception as e:
-            _log(f"Hashtag search error for #{hashtag}: {e}")
-            return []
+    try:
+        data = http.get(
+            f"{SCRAPECREATORS_BASE}/search/hashtag",
+            params={"hashtag": hashtag},
+            headers=http.scrapecreators_headers(token),
+            timeout=30,
+            retries=2,
+        )
+    except Exception as e:
+        _log(f"Hashtag search error for #{hashtag}: {e}")
+        return []

    raw_items = data.get("aweme_list") or data.get("data") or []
    _log(f"  -> {len(raw_items)} results for #{hashtag}")
@@ -261,30 +243,17 @@ def _profile_videos(
    """
    _log(f"Profile videos: @{handle}")
    profile_url = "https://api.scrapecreators.com/v3/tiktok/profile/videos"
-    if not _requests:
-        try:
-            from urllib.parse import urlencode
-            params = urlencode({"handle": handle, "sort_by": "latest"})
-            url = f"{profile_url}?{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 e:
-            _log(f"Profile videos error (urllib) for @{handle}: {e}")
-            return []
-    else:
-        try:
-            resp = _requests.get(
-                profile_url,
-                params={"handle": handle, "sort_by": "latest"},
-                headers=http.scrapecreators_headers(token),
-                timeout=30,
-            )
-            resp.raise_for_status()
-            data = resp.json()
-        except Exception as e:
-            _log(f"Profile videos error for @{handle}: {e}")
-            return []
+    try:
+        data = http.get(
+            profile_url,
+            params={"handle": handle, "sort_by": "latest"},
+            headers=http.scrapecreators_headers(token),
+            timeout=30,
+            retries=2,
+        )
+    except Exception as e:
+        _log(f"Profile videos error for @{handle}: {e}")
+        return []

    raw_items = data.get("aweme_list") or data.get("data") or []
    _log(f"  -> {len(raw_items)} videos from @{handle}")
@@ -318,31 +287,17 @@ def search_tiktok(

    _log(f"Searching TikTok for '{core_topic}' (depth={depth}, count={config['results_per_page']})")

-    if not _requests:
-        _log("requests library not installed, falling back to urllib")
-        try:
-            from urllib.parse import urlencode
-            params = urlencode({"query": core_topic, "sort_by": "relevance"})
-            url = f"{SCRAPECREATORS_BASE}/search/keyword?{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 e:
-            _log(f"ScrapeCreators error (urllib): {e}")
-            return {"items": [], "error": f"{type(e).__name__}: {e}"}
-    else:
-        try:
-            resp = _requests.get(
-                f"{SCRAPECREATORS_BASE}/search/keyword",
-                params={"query": core_topic, "sort_by": "relevance"},
-                headers=http.scrapecreators_headers(token),
-                timeout=30,
-            )
-            resp.raise_for_status()
-            data = resp.json()
-        except Exception as e:
-            _log(f"ScrapeCreators error: {e}")
-            return {"items": [], "error": f"{type(e).__name__}: {e}"}
+    try:
+        data = http.get(
+            f"{SCRAPECREATORS_BASE}/search/keyword",
+            params={"query": core_topic, "sort_by": "relevance"},
+            headers=http.scrapecreators_headers(token),
+            timeout=30,
+            retries=2,
+        )
+    except Exception as e:
+        _log(f"ScrapeCreators error: {e}")
+        return {"items": [], "error": f"{type(e).__name__}: {e}"}

    # Items are nested under aweme_info
    raw_entries = data.get("search_item_list") or data.get("data") or []
@@ -397,7 +352,7 @@ def fetch_captions(
    config = DEPTH_CONFIG.get(depth, DEPTH_CONFIG["default"])
    max_captions = config["max_captions"]

-    if not video_items or not token or not _requests:
+    if not video_items or not token:
        return {}

    top_items = video_items[:max_captions]
@@ -422,24 +377,23 @@ def fetch_captions(
        if not url:
            continue
        try:
-            resp = _requests.get(
+            data = http.get(
                f"{SCRAPECREATORS_BASE}/video/transcript",
                params={"url": url},
                headers=http.scrapecreators_headers(token),
                timeout=15,
+                retries=1,
            )
-            if resp.status_code == 200:
-                data = resp.json()
-                transcript = data.get("transcript")
+            transcript = data.get("transcript")
+            if transcript:
+                if isinstance(transcript, list):
+                    transcript = " ".join(str(s) for s in transcript)
+                transcript = _clean_webvtt(transcript)
                if transcript:
-                    if isinstance(transcript, list):
-                        transcript = " ".join(str(s) for s in transcript)
-                    transcript = _clean_webvtt(transcript)
-                    if transcript:
-                        words = transcript.split()
-                        if len(words) > CAPTION_MAX_WORDS:
-                            transcript = ' '.join(words[:CAPTION_MAX_WORDS]) + '...'
-                        captions[vid] = transcript
+                    words = transcript.split()
+                    if len(words) > CAPTION_MAX_WORDS:
+                        transcript = ' '.join(words[:CAPTION_MAX_WORDS]) + '...'
+                    captions[vid] = transcript
        except Exception as e:
            _log(f"Transcript fetch failed for {vid}: {e}")

@@ -620,30 +574,17 @@ def _fetch_post_comments(
        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 []
+    try:
+        data = http.get(
+            f"{SCRAPECREATORS_BASE}/video/comments",
+            params={"url": post_url, "trim": "true"},
+            headers=http.scrapecreators_headers(token),
+            timeout=30,
+            retries=2,
+        )
+    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.
@@ -617,11 +617,6 @@ def parse_youtube_response(response: Dict[str, Any]) -> List[Dict[str, Any]]:

 SCRAPECREATORS_YT_BASE = "https://api.scrapecreators.com/v1/youtube"

-try:
-    import requests as _requests
-except ImportError:
-    _requests = None
-

 def _total_engagement(item: Dict[str, Any]) -> int:
    """Combined engagement score for ranking which videos to enrich."""
@@ -701,30 +696,17 @@ def _fetch_video_comments(
        List of comment dicts with author, text, likes, date.
    """
    video_url = f"https://www.youtube.com/watch?v={video_id}"
-    if not _requests:
-        try:
-            from urllib.parse import urlencode
-            params = urlencode({"url": video_url})
-            url = f"{SCRAPECREATORS_YT_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 {video_id}: {exc}")
-            return []
-    else:
-        try:
-            resp = _requests.get(
-                f"{SCRAPECREATORS_YT_BASE}/video/comments",
-                params={"url": video_url},
-                headers=http.scrapecreators_headers(token),
-                timeout=30,
-            )
-            resp.raise_for_status()
-            data = resp.json()
-        except Exception as exc:
-            _log(f"Comment fetch error for {video_id}: {exc}")
-            return []
+    try:
+        data = http.get(
+            f"{SCRAPECREATORS_YT_BASE}/video/comments",
+            params={"url": video_url},
+            headers=http.scrapecreators_headers(token),
+            timeout=30,
+            retries=2,
+        )
+    except Exception as exc:
+        _log(f"Comment fetch error for {video_id}: {exc}")
+        return []

    raw_comments = data.get("comments", data.get("data", []))
    comments = []
@@ -883,28 +865,14 @@ def _sc_youtube_search(keyword: str, token: str) -> List[Dict[str, Any]]:
    Returns:
        List of raw video dicts from the API.
    """
-    if not _requests:
-        try:
-            from urllib.parse import urlencode
-            params = urlencode({"keyword": keyword})
-            url = f"{SCRAPECREATORS_YT_BASE}/search?{params}"
-            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", [])))
-        except Exception as exc:
-            _log(f"SC YouTube search error (urllib): {exc}")
-            return []
-
    try:
-        resp = _requests.get(
+        data = http.get(
            f"{SCRAPECREATORS_YT_BASE}/search",
            params={"keyword": keyword},
            headers=http.scrapecreators_headers(token),
            timeout=30,
+            retries=2,
        )
-        resp.raise_for_status()
-        data = resp.json()
        return data.get("videos", data.get("data", data.get("items", [])))
    except Exception as exc:
        _log(f"SC YouTube search error: {exc}")
@@ -922,32 +890,17 @@ def _sc_fetch_transcript(video_id: str, token: str) -> Optional[str]:
        Plaintext transcript string, or None if unavailable.
    """
    video_url = f"https://www.youtube.com/watch?v={video_id}"
-    if not _requests:
-        try:
-            from urllib.parse import urlencode
-            params = urlencode({"url": video_url})
-            url = f"{SCRAPECREATORS_YT_BASE}/video/transcript?{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"SC transcript error (urllib) for {video_id}: {exc}")
-            return None
-    else:
-        try:
-            resp = _requests.get(
-                f"{SCRAPECREATORS_YT_BASE}/video/transcript",
-                params={"url": video_url},
-                headers=http.scrapecreators_headers(token),
-                timeout=30,
-            )
-            if resp.status_code != 200:
-                _log(f"SC transcript returned {resp.status_code} for {video_id}")
-                return None
-            data = resp.json()
-        except Exception as exc:
-            _log(f"SC transcript error for {video_id}: {exc}")
-            return None
+    try:
+        data = http.get(
+            f"{SCRAPECREATORS_YT_BASE}/video/transcript",
+            params={"url": video_url},
+            headers=http.scrapecreators_headers(token),
+            timeout=30,
+            retries=1,
+        )
+    except Exception as exc:
+        _log(f"SC transcript error for {video_id}: {exc}")
+        return None

    transcript = data.get("transcript")
    if not transcript:
@@ -1,123 +0,0 @@
-#!/usr/bin/env bash
-# sync.sh - Deploy last30days skill to all host locations
-# Usage: bash skills/last30days/scripts/sync.sh  (run from repo root)
-set -euo pipefail
-
-SRC="$(cd "$(dirname "$0")/.." && pwd)"
-echo "Source: $SRC"
-
-COMMON_TARGETS=(
-  # Claude Code plugin cache: marketplace installs overwrite on update,
-  # but local development needs the cache kept in sync with the repo.
-  # Do NOT add ~/.claude/skills/last30days - it creates a duplicate
-  # /last30days-3 in the slash command menu alongside the plugin version.
-  "$HOME/.claude/plugins/cache/last30days-skill-private/last30days-3/3.2.0"
-  "$HOME/.claude/plugins/cache/last30days-skill-private/last30days-3-nogem/3.0.0-nogem"
-  "$HOME/.agents/skills/last30days"
-  "$HOME/.codex/skills/last30days"
-)
-OPENCLAW_TARGET="$HOME/.openclaw/skills/last30days"
-
-sync_target() {
-  local target="$1"
-  local skill_md="$2"
-
-  echo ""
-  echo "--- Syncing to $target ---"
-  mkdir -p "$target/scripts/lib"
-
-  cp "$skill_md" "$target/SKILL.md"
-
-  rsync -a \
-    "$SRC/scripts/last30days.py" \
-    "$SRC/scripts/watchlist.py" \
-    "$SRC/scripts/briefing.py" \
-    "$SRC/scripts/store.py" \
-    "$target/scripts/"
-  rsync -a "$SRC/scripts/lib/"*.py "$target/scripts/lib/"
-
-  # The OpenClaw variant lives in the private repo only. Skip cleanly when
-  # running this script from the public repo where variants/open does not exist.
-  if [ -d "$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/"
-  fi
-
-  if [ -d "$SRC/fixtures" ]; then
-    mkdir -p "$target/fixtures"
-    rsync -a "$SRC/fixtures/" "$target/fixtures/"
-  fi
-
-  mod_count=$(ls "$target/scripts/lib/"*.py 2>/dev/null | wc -l | tr -d ' ')
-  echo "  Copied $mod_count modules"
-
-  if (
-    cd "$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
-}
-
-for t in "${COMMON_TARGETS[@]}"; do
-  sync_target "$t" "$SRC/SKILL.md"
-done
-
-# Hermes sync: deploy to Hermes skills directory if it exists
-HERMES_TARGET="$HOME/.hermes/skills/research/last30days"
-if [ -d "$HOME/.hermes/skills/research" ]; then
-  echo ""
-  echo "--- Syncing to Hermes ---"
-  mkdir -p "$HERMES_TARGET/scripts/lib"
-  
-  cp "$SRC/SKILL.md" "$HERMES_TARGET/SKILL.md"
-  
-  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."
@@ -10,16 +10,11 @@ import sys
 import time
 from pathlib import Path

-try:
-    import requests
-except ImportError:
-    requests = None
-
 SCRIPT_DIR = Path(__file__).parent.resolve()
 sys.path.insert(0, str(SCRIPT_DIR))

 import store
-from lib import schema
+from lib import http, schema


 # --- Webhook Delivery Functions ---
@@ -58,34 +53,21 @@ def _format_delivery_message(topic: str, counts: dict, mode: str) -> str:

 def _send_slack_webhook(url: str, text: str) -> None:
    """POST to Slack incoming webhook."""
-    if not requests:
-        raise RuntimeError("requests library not available for webhook delivery")
-    
-    response = requests.post(
-        url,
-        json={"text": text},
-        headers={"Content-Type": "application/json"},
-        timeout=10,
-    )
-    response.raise_for_status()
+    http.post(url, json_data={"text": text}, timeout=10, retries=1)


 def _send_generic_webhook(url: str, text: str) -> None:
    """POST JSON payload to generic webhook."""
-    if not requests:
-        raise RuntimeError("requests library not available for webhook delivery")
-    
-    response = requests.post(
+    http.post(
        url,
-        json={
+        json_data={
            "message": text,
            "source": "last30days",
            "timestamp": time.time(),
        },
-        headers={"Content-Type": "application/json"},
        timeout=10,
+        retries=1,
    )
-    response.raise_for_status()


 # --- Command Handlers ---
@@ -22,20 +22,17 @@ def _skill_version() -> str:


 class TestPluginContract(unittest.TestCase):
-    def test_codex_manifest_points_at_skills_tree(self) -> None:
-        manifest = _json(ROOT / ".codex-plugin" / "plugin.json")
-
-        self.assertEqual("last30days", manifest["name"])
-        self.assertEqual("./skills/", manifest["skills"])
-        self.assertTrue(SKILL_ROOT.joinpath("SKILL.md").is_file())
-        self.assertTrue(SKILL_ROOT.joinpath("scripts", "last30days.py").is_file())
+    def test_codex_plugin_scaffold_stays_removed(self) -> None:
+        # .codex-plugin/ was removed in the resolver-collapse refactor; Codex users
+        # install via `npx skills add` or `~/.codex/skills/`. A reintroduction would
+        # silently fork the install surface.
+        self.assertFalse((ROOT / ".codex-plugin").exists())

    def test_versions_match_across_manifests(self) -> None:
        pyproject = tomllib.loads((ROOT / "pyproject.toml").read_text(encoding="utf-8"))
        version = pyproject["project"]["version"]

        self.assertEqual(version, _skill_version())
-        self.assertEqual(version, _json(ROOT / ".codex-plugin" / "plugin.json")["version"])
        self.assertEqual(version, _json(ROOT / ".claude-plugin" / "plugin.json")["version"])

        marketplace = _json(ROOT / ".claude-plugin" / "marketplace.json")
@@ -0,0 +1,137 @@
+"""Unit tests for render._skill_version() fallback paths.
+
+The function reads version from .claude-plugin/plugin.json first, then falls back
+to SKILL.md frontmatter. These tests use monkeypatch to swap the render module's
+__file__ attribute, which controls where the walk starts.
+"""
+
+import sys
+import unittest
+from pathlib import Path
+from unittest.mock import patch
+
+sys.path.insert(0, str(Path(__file__).resolve().parents[1] / "skills" / "last30days" / "scripts"))
+
+from lib import render
+
+
+class SkillVersionFallbackTests(unittest.TestCase):
+    def setUp(self):
+        # tmp_path equivalent for unittest
+        import tempfile
+        self._tmp = tempfile.TemporaryDirectory()
+        self.tmp_path = Path(self._tmp.name)
+
+    def tearDown(self):
+        self._tmp.cleanup()
+
+    def _make_render_at(self, parent: Path) -> Path:
+        """Place a dummy render.py inside parent and return its path."""
+        parent.mkdir(parents=True, exist_ok=True)
+        fake_render = parent / "render.py"
+        fake_render.write_text("")
+        return fake_render
+
+    def _write_manifest(self, parent: Path, version: str | None) -> None:
+        """Write .claude-plugin/plugin.json under parent. version=None writes corrupt JSON."""
+        d = parent / ".claude-plugin"
+        d.mkdir(parents=True, exist_ok=True)
+        if version is None:
+            (d / "plugin.json").write_text("{not valid json")
+        else:
+            (d / "plugin.json").write_text(f'{{"version": "{version}"}}')
+
+    def _write_skill_md(self, parent: Path, frontmatter_version_line: str | None) -> None:
+        """Write SKILL.md with frontmatter. None writes a SKILL.md with no version line."""
+        if frontmatter_version_line is None:
+            body = "---\nname: test\n---\n# body\n"
+        else:
+            body = f"---\nname: test\n{frontmatter_version_line}\n---\n# body\n"
+        (parent / "SKILL.md").write_text(body)
+
+    def test_manifest_absent_falls_back_to_skill_md_frontmatter(self):
+        skill_dir = self.tmp_path / "skill_root"
+        fake_render = self._make_render_at(skill_dir)
+        self._write_skill_md(skill_dir, 'version: "9.9.9"')
+
+        with patch.object(render, "__file__", str(fake_render)):
+            self.assertEqual("9.9.9", render._skill_version())
+
+    def test_manifest_corrupt_falls_back_to_skill_md_frontmatter(self):
+        skill_dir = self.tmp_path / "skill_root"
+        fake_render = self._make_render_at(skill_dir)
+        self._write_manifest(skill_dir, version=None)  # corrupt
+        self._write_skill_md(skill_dir, 'version: "8.8.8"')
+
+        with patch.object(render, "__file__", str(fake_render)):
+            self.assertEqual("8.8.8", render._skill_version())
+
+    def test_manifest_missing_version_key_falls_back_to_skill_md_frontmatter(self):
+        # Valid JSON, but no "version" key. Old behavior returned "?" and never tried
+        # SKILL.md. Fix from greptile review: fall through to SKILL.md fallback.
+        skill_dir = self.tmp_path / "skill_root"
+        fake_render = self._make_render_at(skill_dir)
+        (skill_dir / ".claude-plugin").mkdir()
+        (skill_dir / ".claude-plugin" / "plugin.json").write_text('{"name": "x"}')
+        self._write_skill_md(skill_dir, 'version: "4.4.4"')
+
+        with patch.object(render, "__file__", str(fake_render)):
+            self.assertEqual("4.4.4", render._skill_version())
+
+    def test_manifest_empty_version_string_falls_back_to_skill_md_frontmatter(self):
+        # Manifest version present but empty — treat as missing so the badge
+        # doesn't emit a useless "🌐 last30days v · synced ..." line.
+        skill_dir = self.tmp_path / "skill_root"
+        fake_render = self._make_render_at(skill_dir)
+        (skill_dir / ".claude-plugin").mkdir()
+        (skill_dir / ".claude-plugin" / "plugin.json").write_text('{"version": ""}')
+        self._write_skill_md(skill_dir, 'version: "2.2.2"')
+
+        with patch.object(render, "__file__", str(fake_render)):
+            self.assertEqual("2.2.2", render._skill_version())
+
+    def test_corrupt_inner_manifest_does_not_shadow_valid_outer_manifest(self):
+        outer = self.tmp_path / "outer"
+        inner = outer / "skill_root"
+        fake_render = self._make_render_at(inner)
+        self._write_manifest(inner, version=None)  # corrupt at inner
+        self._write_manifest(outer, version="7.7.7")  # valid at outer
+
+        with patch.object(render, "__file__", str(fake_render)):
+            self.assertEqual("7.7.7", render._skill_version())
+
+    def test_neither_source_present_returns_question_mark(self):
+        skill_dir = self.tmp_path / "skill_root"
+        fake_render = self._make_render_at(skill_dir)
+        # No manifest, no SKILL.md anywhere under tmp_path
+
+        with patch.object(render, "__file__", str(fake_render)):
+            self.assertEqual("?", render._skill_version())
+
+    def test_skill_md_without_version_returns_question_mark(self):
+        skill_dir = self.tmp_path / "skill_root"
+        fake_render = self._make_render_at(skill_dir)
+        self._write_skill_md(skill_dir, frontmatter_version_line=None)
+
+        with patch.object(render, "__file__", str(fake_render)):
+            self.assertEqual("?", render._skill_version())
+
+    def test_unquoted_yaml_version_is_accepted(self):
+        skill_dir = self.tmp_path / "skill_root"
+        fake_render = self._make_render_at(skill_dir)
+        self._write_skill_md(skill_dir, "version: 6.6.6")
+
+        with patch.object(render, "__file__", str(fake_render)):
+            self.assertEqual("6.6.6", render._skill_version())
+
+    def test_single_quoted_yaml_version_is_accepted(self):
+        skill_dir = self.tmp_path / "skill_root"
+        fake_render = self._make_render_at(skill_dir)
+        self._write_skill_md(skill_dir, "version: '5.5.5'")
+
+        with patch.object(render, "__file__", str(fake_render)):
+            self.assertEqual("5.5.5", render._skill_version())
+
+
+if __name__ == "__main__":
+    unittest.main()
@@ -154,14 +154,7 @@ class TestTikTokEnrichWithComments(unittest.TestCase):
            "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()
+        with patch.object(tiktok.http, "get", return_value=fake_sc_response):
            out = tiktok._fetch_post_comments(
                "https://www.tiktok.com/@u/video/1",
                token="k",
@@ -192,14 +185,7 @@ class TestTikTokEnrichWithComments(unittest.TestCase):
            "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()
+        with patch.object(tiktok.http, "get", return_value=fake_sc_response):
            out = tiktok._fetch_post_comments(
                "https://www.tiktok.com/@u/video/1",
                token="k",
@@ -217,8 +203,7 @@ class TestTikTokEnrichWithComments(unittest.TestCase):
        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")
+        with patch.object(tiktok.http, "get", side_effect=Exception("429 rate limit")):
            out = tiktok._fetch_post_comments(
                "https://www.tiktok.com/@u/video/1",
                token="k",
@@ -21,11 +21,6 @@ class TestVersionConsistency(unittest.TestCase):
        version = _skill_version()
        self.assertIn(f"# last30days v{version}:", text)

-    def test_sync_cache_path_uses_skill_version(self) -> None:
-        sync_text = (SKILL_ROOT / "scripts" / "sync.sh").read_text(encoding="utf-8")
-        version = _skill_version()
-        self.assertIn(f'last30days-3/{version}"', sync_text)
-
    def test_memory_save_dir_uses_single_env_variable(self) -> None:
        skill_text = (SKILL_ROOT / "SKILL.md").read_text(encoding="utf-8")
        compare_text = (SKILL_ROOT / "scripts" / "compare.sh").read_text(encoding="utf-8")
@@ -2,13 +2,14 @@

 import sys
 from pathlib import Path
-from unittest.mock import Mock, patch
+from unittest.mock import patch

 import pytest

 sys.path.insert(0, str(Path(__file__).parent.parent / "skills" / "last30days" / "scripts"))

 import watchlist
+from lib.http import HTTPError


 # === Tests for _format_delivery_message() ===
@@ -18,7 +19,7 @@ def test_format_message_announce_mode():
    message = watchlist._format_delivery_message(
        "Test Topic", {"new": 5, "updated": 2}, "announce"
    )
-    
+
    assert "📰" in message
    assert "Test Topic" in message
    assert "5 new" in message
@@ -30,7 +31,7 @@ def test_format_message_silent_mode():
    message = watchlist._format_delivery_message(
        "Test Topic", {"new": 5, "updated": 2}, "silent"
    )
-    
+
    assert "📰" not in message
    assert "Test Topic" in message
    assert "5 new" in message
@@ -41,7 +42,7 @@ def test_format_message_default_mode():
    message = watchlist._format_delivery_message(
        "Test Topic", {"new": 5, "updated": 2}, "default"
    )
-    
+
    assert "complete" in message.lower()
    assert "Test Topic" in message

@@ -51,44 +52,35 @@ def test_format_message_handles_zero_counts():
    message = watchlist._format_delivery_message(
        "Test Topic", {"new": 0, "updated": 0}, "announce"
    )
-    
+
    assert "0 new" in message
    assert "0 updated" in message


 # === Tests for _send_slack_webhook() ===

-@patch('watchlist.requests')
-def test_send_slack_webhook_format(mock_requests):
+@patch('watchlist.http.post')
+def test_send_slack_webhook_format(mock_post):
    """Test that Slack webhook uses correct format."""
-    mock_response = Mock()
-    mock_response.status_code = 200
-    mock_requests.post.return_value = mock_response
-    
    watchlist._send_slack_webhook(
        "https://hooks.slack.com/services/TEST",
        "Test message"
    )
-    
-    # Verify POST was called with correct format
-    assert mock_requests.post.called
-    call_args = mock_requests.post.call_args
-    
+
+    assert mock_post.called
+    call_args = mock_post.call_args
+
    assert call_args[0][0] == "https://hooks.slack.com/services/TEST"
-    assert call_args[1]["json"] == {"text": "Test message"}
-    assert call_args[1]["headers"]["Content-Type"] == "application/json"
+    assert call_args[1]["json_data"] == {"text": "Test message"}
    assert call_args[1]["timeout"] == 10


-@patch('watchlist.requests')
-def test_send_slack_webhook_raises_on_error(mock_requests):
+@patch('watchlist.http.post')
+def test_send_slack_webhook_raises_on_error(mock_post):
    """Test that Slack webhook raises on HTTP error."""
-    mock_response = Mock()
-    mock_response.status_code = 400
-    mock_response.raise_for_status.side_effect = Exception("HTTP 400")
-    mock_requests.post.return_value = mock_response
-    
-    with pytest.raises(Exception, match="HTTP 400"):
+    mock_post.side_effect = HTTPError("HTTP 400", 400)
+
+    with pytest.raises(HTTPError, match="HTTP 400"):
        watchlist._send_slack_webhook(
            "https://hooks.slack.com/services/TEST",
            "Test message"
@@ -97,40 +89,32 @@ def test_send_slack_webhook_raises_on_error(mock_requests):

 # === Tests for _send_generic_webhook() ===

-@patch('watchlist.requests')
-def test_send_generic_webhook_format(mock_requests):
+@patch('watchlist.http.post')
+def test_send_generic_webhook_format(mock_post):
    """Test that generic webhook uses correct format."""
-    mock_response = Mock()
-    mock_response.status_code = 200
-    mock_requests.post.return_value = mock_response
-    
    watchlist._send_generic_webhook(
        "https://webhook.example.com/hook",
        "Test message"
    )
-    
-    # Verify POST was called with correct format
-    assert mock_requests.post.called
-    call_args = mock_requests.post.call_args
-    
+
+    assert mock_post.called
+    call_args = mock_post.call_args
+
    assert call_args[0][0] == "https://webhook.example.com/hook"
-    
-    json_data = call_args[1]["json"]
+
+    json_data = call_args[1]["json_data"]
    assert json_data["message"] == "Test message"
    assert json_data["source"] == "last30days"
    assert "timestamp" in json_data
    assert isinstance(json_data["timestamp"], float)


-@patch('watchlist.requests')
-def test_send_generic_webhook_raises_on_error(mock_requests):
+@patch('watchlist.http.post')
+def test_send_generic_webhook_raises_on_error(mock_post):
    """Test that generic webhook raises on HTTP error."""
-    mock_response = Mock()
-    mock_response.status_code = 500
-    mock_response.raise_for_status.side_effect = Exception("HTTP 500")
-    mock_requests.post.return_value = mock_response
-    
-    with pytest.raises(Exception, match="HTTP 500"):
+    mock_post.side_effect = HTTPError("HTTP 500", 500)
+
+    with pytest.raises(HTTPError, match="HTTP 500"):
        watchlist._send_generic_webhook(
            "https://webhook.example.com/hook",
            "Test message"
@@ -140,150 +124,120 @@ def test_send_generic_webhook_raises_on_error(mock_requests):
 # === Tests for _deliver_findings() ===

@patch('watchlist.store.get_setting')
-@patch('watchlist.requests')
-def test_deliver_findings_sends_when_new_greater_than_zero(mock_requests, mock_get_setting):
+@patch('watchlist.http.post')
+def test_deliver_findings_sends_when_new_greater_than_zero(mock_post, mock_get_setting):
    """Test that delivery fires when new > 0."""
    mock_get_setting.side_effect = lambda key, default="": {
        "delivery_channel": "https://webhook.example.com/test",
        "delivery_mode": "announce",
    }.get(key, default)
-    
-    mock_response = Mock()
-    mock_response.status_code = 200
-    mock_requests.post.return_value = mock_response
-    
+
    watchlist._deliver_findings("Test Topic", {"new": 5, "updated": 2})
-    
-    # Verify webhook was called
-    assert mock_requests.post.called
+
+    assert mock_post.called


@patch('watchlist.store.get_setting')
-@patch('watchlist.requests')
-def test_deliver_findings_skips_when_new_is_zero(mock_requests, mock_get_setting):
+@patch('watchlist.http.post')
+def test_deliver_findings_skips_when_new_is_zero(mock_post, mock_get_setting):
    """Test that delivery is skipped when new=0."""
    mock_get_setting.side_effect = lambda key, default="": {
        "delivery_channel": "https://webhook.example.com/test",
        "delivery_mode": "announce",
    }.get(key, default)
-    
+
    watchlist._deliver_findings("Test Topic", {"new": 0, "updated": 5})
-    
-    # Verify webhook was NOT called
-    assert not mock_requests.post.called
+
+    assert not mock_post.called


@patch('watchlist.store.get_setting')
-@patch('watchlist.requests')
-def test_deliver_findings_skips_when_channel_empty(mock_requests, mock_get_setting):
+@patch('watchlist.http.post')
+def test_deliver_findings_skips_when_channel_empty(mock_post, mock_get_setting):
    """Test that delivery is skipped when delivery_channel is empty."""
    mock_get_setting.side_effect = lambda key, default="": {
        "delivery_channel": "",
        "delivery_mode": "announce",
    }.get(key, default)
-    
+
    watchlist._deliver_findings("Test Topic", {"new": 5, "updated": 2})
-    
-    # Verify webhook was NOT called
-    assert not mock_requests.post.called
+
+    assert not mock_post.called


@patch('watchlist.store.get_setting')
-@patch('watchlist.requests')
-def test_deliver_findings_uses_slack_format_for_slack_urls(mock_requests, mock_get_setting):
+@patch('watchlist.http.post')
+def test_deliver_findings_uses_slack_format_for_slack_urls(mock_post, mock_get_setting):
    """Test that Slack URLs trigger Slack-specific format."""
    mock_get_setting.side_effect = lambda key, default="": {
        "delivery_channel": "https://hooks.slack.com/services/TEST",
        "delivery_mode": "announce",
    }.get(key, default)
-    
-    mock_response = Mock()
-    mock_response.status_code = 200
-    mock_requests.post.return_value = mock_response
-    
+
    watchlist._deliver_findings("Test Topic", {"new": 5, "updated": 2})
-    
-    # Verify Slack format was used
-    call_args = mock_requests.post.call_args
-    json_data = call_args[1]["json"]
+
+    json_data = mock_post.call_args[1]["json_data"]
    assert "text" in json_data
    assert "Test Topic" in json_data["text"]


@patch('watchlist.store.get_setting')
-@patch('watchlist.requests')
-def test_deliver_findings_uses_generic_format_for_other_urls(mock_requests, mock_get_setting):
+@patch('watchlist.http.post')
+def test_deliver_findings_uses_generic_format_for_other_urls(mock_post, mock_get_setting):
    """Test that non-Slack URLs trigger generic format."""
    mock_get_setting.side_effect = lambda key, default="": {
        "delivery_channel": "https://webhook.example.com/test",
        "delivery_mode": "announce",
    }.get(key, default)
-    
-    mock_response = Mock()
-    mock_response.status_code = 200
-    mock_requests.post.return_value = mock_response
-    
+
    watchlist._deliver_findings("Test Topic", {"new": 5, "updated": 2})
-    
-    # Verify generic format was used
-    call_args = mock_requests.post.call_args
-    json_data = call_args[1]["json"]
+
+    json_data = mock_post.call_args[1]["json_data"]
    assert "message" in json_data
    assert "source" in json_data
    assert "timestamp" in json_data


@patch('watchlist.store.get_setting')
-@patch('watchlist.requests')
-def test_deliver_findings_handles_failure_gracefully(mock_requests, mock_get_setting, capsys):
+@patch('watchlist.http.post')
+def test_deliver_findings_handles_failure_gracefully(mock_post, mock_get_setting, capsys):
    """Test that delivery failures don't crash the process."""
    mock_get_setting.side_effect = lambda key, default="": {
        "delivery_channel": "https://webhook.example.com/test",
        "delivery_mode": "announce",
    }.get(key, default)
-    
-    # Simulate HTTP error
-    mock_response = Mock()
-    mock_response.status_code = 500
-    mock_response.raise_for_status.side_effect = Exception("HTTP 500")
-    mock_requests.post.return_value = mock_response
-    
+
+    mock_post.side_effect = HTTPError("HTTP 500", 500)
+
    # Should not raise, just log to stderr
    watchlist._deliver_findings("Test Topic", {"new": 5, "updated": 2})
-    
-    # Verify error was logged
+
    captured = capsys.readouterr()
    assert "Delivery failed" in captured.err


@patch('watchlist.store.get_setting')
-@patch('watchlist.requests')
-def test_deliver_findings_respects_delivery_mode(mock_requests, mock_get_setting):
+@patch('watchlist.http.post')
+def test_deliver_findings_respects_delivery_mode(mock_post, mock_get_setting):
    """Test that different delivery modes produce different messages."""
-    mock_response = Mock()
-    mock_response.status_code = 200
-    mock_requests.post.return_value = mock_response
-    
-    # Test announce mode
    mock_get_setting.side_effect = lambda key, default="": {
        "delivery_channel": "https://webhook.example.com/test",
        "delivery_mode": "announce",
    }.get(key, default)
-    
+
    watchlist._deliver_findings("Test Topic", {"new": 5, "updated": 2})
-    
-    announce_message = mock_requests.post.call_args[1]["json"]["message"]
+
+    announce_message = mock_post.call_args[1]["json_data"]["message"]
    assert "📰" in announce_message
-    
-    # Test silent mode
+
    mock_get_setting.side_effect = lambda key, default="": {
        "delivery_channel": "https://webhook.example.com/test",
        "delivery_mode": "silent",
    }.get(key, default)
-    
+
    watchlist._deliver_findings("Test Topic", {"new": 5, "updated": 2})
-    
-    silent_message = mock_requests.post.call_args[1]["json"]["message"]
+
+    silent_message = mock_post.call_args[1]["json_data"]["message"]
    assert "📰" not in silent_message


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