Every cited source — X handles, subreddits, publications, YouTube channels,
Polymarket markets — now renders as a blue CMD-clickable markdown link in the
terminal. Raw URL strings remain forbidden everywhere in the output.
The old rule "NEVER paste raw URLs" blocked both raw URLs and links. Claude
Code renders CommonMark [text](url) as hyperlinks (URL hidden), so the new
rule is: "every link must be [text](url), never a raw URL string". Plain text
is the fallback only when the raw research dump has no URL for a source.
Changes:
- SKILL.md: invert URL formatting rule; update narrative / KEY PATTERNS /
RECOMMENDATIONS / stats-block templates; retire the "I have all the links...
Just ask." closer (it's now inline); add two new PRE-PRESENT SELF-CHECK
items (no raw http/https strings, no broken empty links).
- README.md: note the clickable-links capability in the "How it works" list.
- release-notes.md: 2026-04-20 entry crediting @jay_k and @photomatt.
No Python changes — the raw research dump already carries URLs per item;
this is synthesis-side formatting only. No breaking changes to the engine,
the schema, or the CLI flags.
Co-Authored-By: Claude Opus 4.7 (1M context) <noreply@anthropic.com>
* feat(normalize): pass YouTube top_comments through with Reddit-compatible shape
_normalize_youtube silently dropped top_comments after enrich_with_comments
populated them, so the downstream signals/render/entity layers never saw
YouTube comments. Map likes->score and text->excerpt so the existing
Reddit-compatible readers Just Work.
Shared _remap_comments helper will be reused for TikTok in a later commit.
* feat(tiktok): fetch top comments via ScrapeCreators when opted in
Mirrors the youtube_comments pattern: new env.is_tiktok_comments_available
gate (requires SCRAPECREATORS_API_KEY + tiktok_comments in INCLUDE_SOURCES),
tiktok.enrich_with_comments ranks posts and fetches via
GET /v1/tiktok/video/comments. Vote field is digg_count; text and user.nickname
come across verbatim. Pipeline calls the enricher right after TikTok search
when the gate is open.
Comment-fetch errors never crash the pipeline — the enricher returns an
empty list on 4xx/5xx.
* feat(normalize): pass TikTok top_comments through with digg_count->score mapping
Instagram uses the same shortform normalizer and has no comment fetcher
today, so the key is harmlessly absent there — no Instagram regression.
* feat(signals): add YouTube + TikTok top-comment score to engagement formula
Mirrors Reddit's 10% top-comment slot. Without top_comments present, the
formula reduces to views-dominant weighting; with a high-signal comment,
the item gets a meaningful bump (log1p(10k) ~ 9.2, weighted 0.10 = ~0.92
on the engagement score).
Updated the existing dominant-weight and missing-fields tests to the new
weights (0.45/0.32/0.13 for YT, 0.45/0.27/0.18 for TT). Views still dominate.
* feat(render): source-aware thresholds and vote labels for top comments
10 upvotes on Reddit signals community interest; 10 likes on a viral
TikTok is noise. Introduce per-source minimums (reddit 10, youtube 50,
tiktok 500) and native vote labels ('upvotes' for Reddit, 'likes' for
YT/TT). First-pass numbers — tune after live observation.
* docs: generalize top-comment quoting to YouTube + TikTok, add tiktok_comments opt-in
Synthesis instructions previously called out Reddit top comments only.
Now cover Reddit/YouTube/TikTok uniformly with source-appropriate vote
labels (upvotes vs likes), and explicitly frame YT transcript highlights
and comments as complementary signals. README and setup-wizard copy
document the new tiktok_comments INCLUDE_SOURCES token.
---------
Co-authored-by: Matt Van Horn <455140+mvanhorn@users.noreply.github.com>
- install matrix now leads with claude.ai (widest audience, one-click path)
- direct download link to GitHub release's 'latest' asset URL
- 3-step UI walkthrough with link to Settings > Capabilities > Skills
- Claude Code / OpenClaw / Gemini / manual paths still documented, collapsed
- removes the bash scripts/build-skill.sh requirement from end-user flow
Two SKILL.md files declared `name: last30days` with `user-invocable: true`,
which caused strict marketplace validators to reject the plugin with "Some
plugins in this marketplace have validation errors":
- ./SKILL.md (canonical, also reachable via skills/last30days-nux/ symlink)
- ./skills/last30days/SKILL.md (v3 architecture spec, real file)
In v2.9.6, skills/last30days/SKILL.md was a symlink to ../../SKILL.md so
only one skill existed. Commit 0a9ff16 (v3.0.0) added a new real file at
skills/last30days-v3/SKILL.md, and commit 9be0780 then renamed that
directory to skills/last30days/, replacing the original symlink with a
different real file. The collision has been live since v3.0.0 shipped.
This change:
- Renames skills/last30days/SKILL.md to name: last30days-v3-spec and sets
user-invocable: false. The file stays in place as internal architecture
documentation, but it no longer competes with the canonical skill.
- Fixes README.md link that pointed to the deleted skills/last30days-v3/
path (left over from the rename).
- Removes a stale variants/open/SKILL.md reference (variants/open was
deleted in v3.0.0).
After the change, only one canonical name=last30days user-invocable=true
skill exists (the root SKILL.md, also reachable via the
skills/last30days-nux/ symlink, same inode).
Closes#204.
This contribution was developed with AI assistance (Codex).
Co-authored-by: Matt Van Horn <455140+mvanhorn@users.noreply.github.com>
Update README, launch copy, and UI guidance to prefer popup-free AUTH_TOKEN/CT0 configuration, and keep X backend selection on the verified Bird or xAI paths.
Validation: uv run python -m unittest tests.test_env_project
Mastodon-compatible API at truthsocial.com/api/v2/search.
Opt-in via TRUTHSOCIAL_TOKEN env var (bearer token from browser).
Silent when unconfigured. Full pipeline: search, parse, normalize,
score, dedupe, render across all 10 pipeline files.
27 new tests, 440 total passing.
Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
- Fix plugin.json hooks field from invalid array to empty object
- Add Claude Code plugin install above ClawHub badge
- Version bump to v2.9.5 with new features block (Bluesky, comparative
mode, ScrapeCreators X, per-project env, expanded tests)
- Add Bluesky to all source list references
- Document BSKY_HANDLE/BSKY_APP_PASSWORD env vars in install + optional sections
Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
Update .claude-plugin/marketplace.json and plugin.json to v2.9.5 with
full metadata. Add plugin install instructions to README as the
recommended install method. The repo root serves as both the marketplace
and the plugin - skills/last30days/SKILL.md (symlink) is discovered
automatically.
Users can now install with:
/plugin marketplace add mvanhorn/last30days-skill
/plugin install last30days@last30days-skill
Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
Add gemini-extension.json manifest with correct array-format settings,
symlink skills/last30days/SKILL.md to root SKILL.md for Gemini skill
discovery, add Gemini install paths to bash for-loop in both main and
open variant, and add Gemini CLI install instructions to README.
Incorporates the good parts of PR #53 (manifest, paths, README) while
avoiding duplicate SKILL.md, tool name scattering, and allowed-tools
pollution that would have created maintenance issues.
Closes#45
Co-Authored-By: Alex Ferrari <alex@thealexferrari.com>
Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
Sync from public repo. Every run now saves the complete briefing as a
topic-named .md file to ~/Documents/Last30Days/. Credit @devin_explores.
Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
Add Instagram Reels as the 8th research source via ScrapeCreators API.
One API key (SCRAPECREATORS_API_KEY) now covers both TikTok and Instagram.
- Add scripts/lib/instagram.py: keyword search, transcript extraction,
relevance scoring, engagement metrics (views, likes, comments)
- Add InstagramItem to schema, normalization, scoring, dedup, rendering
- Add Instagram to orchestrator pipeline, watchlist, and UI spinners
- Update SKILL.md: stats template, citation priority, item format,
URL-to-name extraction rules, anti-Sources instruction
- Update README and CHANGELOG for v2.8
- Fix: Instagram/TikTok not running in --search= web-only path
- Fix: web stats line showing full URLs instead of domain names
- Replace APIFY_API_TOKEN with SCRAPECREATORS_API_KEY throughout
Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
Replace all Apify references with ScrapeCreators. Key points:
- No subscription required (was $5/mo with Apify)
- 100 free credits, pay-as-you-go after
- SCRAPECREATORS_API_KEY replaces APIFY_API_TOKEN
- Backwards compatible: APIFY_API_TOKEN still works as fallback
Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
Add TikTok as 7th source throughout README: new V2.7 banner, real
search examples (Iran Israel: 61.6M views, Leah Halton: 152.6M views),
APIFY_API_TOKEN in installation, Apify in security table, fix stale
"six sources" references to "seven sources".
Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
* chore: fix YAML error in argument-hint
* add codex auth support to responses API
* Use gpt-5.1-codex-mini as default model for Codex auth
Add CODEX_FALLBACK_MODELS chain (gpt-5.1-codex-mini → gpt-5.2) for
Codex endpoint which doesn't support standard OpenAI models like
gpt-4o-mini. Adds model fallback retry on 400 errors in the Codex
search path. Also adds test_codex_auth.py with 22 unit tests covering
JWT decoding, auth resolution, SSE parsing, and payload building.
* Pass .env credentials to Bird Node subprocesses for X auth
On platforms without browser cookie access (e.g. WSL2), Bird's
vendored Node.js module cannot read AUTH_TOKEN/CT0 from Firefox
or Chrome cookie stores. The .env config file already supports
these values, but they were only loaded into the Python config
dict — never exported to the environment of Node subprocesses.
- Add AUTH_TOKEN/CT0 to env.py config key loading
- Add set_credentials()/\_subprocess_env() to bird_x.py to inject
credentials into the env dict passed to subprocess.run/Popen
- Call set_credentials() in main() before Bird auth detection
---------
Co-authored-by: Justin Williams <jblwilliams@gmail.com>
Reorder v2.5 features: Polymarket prediction markets and HN lead as #1,
multi-signal quality-ranked relevance scoring as #2. Add Anthropic Odds
example showcasing 11 live markets from a two-word query. Add Anthropic
and OpenAI Polymarket transcripts to launch tweets.
Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
Search Polymarket's free Gamma API for relevant prediction markets on any
topic. Uses smart multi-query expansion to cast a wider net (e.g., "Arizona
Basketball" also searches "Arizona"), merges and dedupes by event ID, and
shows price movement context ("up 22.5% this week"). No API key required.
Also hides sources with zero results from the stats output (all sources).
54 new tests, all passing. Full pipeline integration with scoring, dedupe,
cross-source linking, and rendering.
Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
Shoutout to @ARJ999 (first HN submission, PR #12), @wkbaran
(PR #26, referenced in planning), and @gbessoni for endorsing
HN as the right addition.
Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
Reorganize the changelog to match the real story: smarter scoring,
cross-source linking, and handle resolution as one "dramatically
better results" narrative first, then HN, then handle resolution
details. Moves blinded comparison right after the results section
as proof.
Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
Add CHANGELOG.md (Keep a Changelog format) and release-notes.md
for the v2.1.0 GitHub Release. Also includes queued copy updates:
plugin.json version bump to 2.1.0, YouTube added to descriptions,
SKILL.md security/permissions section and ClawdBot metadata,
updated watchlist examples, and v2.1 launch post refinements.
Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
Watchlist schedules are metadata only — nothing triggers runs
automatically. Updated README to be honest that cron/launchd or an
always-on bot like Open Claw is required for automated scheduling.
Local Claude Code users can still use run-one and run-all manually.
Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
- Replace all em dashes with hyphens
- "Claude Code skill" -> "skill" in intro
- Ralph Wiggum -> Seedance 2.0 / Nano Banana Pro
- tweet/Tweet -> post/Post throughout
- "signal of a tweet" -> "signal of a single post"
Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
- Add agents/openai.yaml for Codex skill discovery
- Make SKILL.md script path portable (repo, Claude, Codex, agents dirs)
- Platform-neutral output text ("assistant" instead of "Claude")
- Sandbox-friendly cache/output dirs with env var overrides and tempdir fallback
- Add Codex installation docs to README
Inspired by PR #24 (el-analista) and PR #5 (jblwilliams).
Zero impact on existing Claude Code behavior.
Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
- Split V2.1 blurb into two clear bullets (YouTube + X search)
- Better X auth section with browser-specific notes and verify command
- Updated intro/tagline to mention YouTube as 4th source
- Added social post drafts and updated issue #19 response with YouTube
Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
YouTube search and transcript extraction runs automatically when yt-dlp
is installed. Searches for topic videos from the last N days, fetches
auto-generated transcripts for top results, and feeds them through the
same scoring pipeline (relevance + recency + engagement) as Reddit/X.
New files:
- youtube_yt.py: search, transcript extraction, VTT cleanup
Modified files:
- schema.py: YouTubeItem dataclass, updated Report
- normalize.py: normalize_youtube_items()
- score.py: YouTube engagement scoring (views-dominated)
- dedupe.py: YouTube deduplication
- render.py: YouTube section in compact output
- env.py: is_ytdlp_available() check
- ui.py: YouTube progress messages
- last30days.py: _search_youtube(), parallel execution with Reddit/X
- SKILL.md: YouTube in stats box, citation priority
- README.md: YouTube docs, yt-dlp requirement, Peter shoutout
Inspired by Peter Steinberger's yt-dlp + summarize toolchain approach.
Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
Vendor Bird's Twitter GraphQL search client directly into /last30days,
eliminating the dependency on `npm install -g @steipete/bird`. X search
now works out of the box with just Node.js 22+ and browser cookies.
- Add vendored bird-search.mjs wrapper (search-only subset of Bird v0.8.0)
- Vendor @steipete/sweet-cookie for browser cookie extraction
- Update bird_x.py to call vendored Node.js module instead of `bird` binary
- Update README.md and SKILL.md for v2.1 (remove Bird CLI install steps)
- Include Bird's MIT LICENSE in vendor directory
The fallback chain is: vendored search -> xAI API key -> web-only mode.
Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
Honest about 2-8 min research time vs V1's speed. Points users
to @mvanhorn / @slashlast30days for quick mode feedback.
Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
Demonstrates /last30days researching a tool that launched 2 days ago —
before blog roundups existed. Real-time X/Reddit reactions from
@Hartdrawss, @rezkhere, @Totinhiiio plus honest Chase Jarvis review.
Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
Real V2 output: 33 X posts (9.3K likes), @dekreationz viral post,
WSJ apology arc, BULLY album, Bianca Vanity Fair — demonstrates
/last30days as a news/culture research tool, not just prompting.
Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
New example uses fresh V2 research output showing JSON prompting
dominance, @handle citations, and the full research-to-prompt flow.
Removed the old iOS App Mockup example which used the same SwimMom
prompt/image but with stale V1 data.
Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
Lead with dramatically better X/Reddit search quality (smarter query
construction + Phase 2 supplemental), Bird CLI as secondary headline,
community contributions in their own section.
Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
- Add V2 to title
- Document Bird CLI installation (free X search)
- Add --days=N to options table
- Update Requirements to show Bird CLI as recommended free option
- Replace How It Works with two-phase search architecture
- Add What's New in V2 section with all new features
- Credit community contributors (@JosephOIbrahim, @levineam, @jonthebeef)
- Bump http.py USER_AGENT from 1.0 to 2.0
Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
- Refactor run_research() to use ThreadPoolExecutor for parallel execution
- Reddit timeout/crash no longer blocks X search from running
- Add catch for ConnectionResetError/OSError in http.py
- Per-item error handling in Reddit enrichment (one failure doesn't crash all)
- Increase API timeouts from 60/90/120 to 90/120/180 seconds
- Add ClawdBot setup example to README
Co-Authored-By: Claude Opus 4.5 <noreply@anthropic.com>
Matt Van Horn