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>
Restore the rich synthesis output by closing three prompt-level loopholes
that let the model silently take a degraded path:
1. Research Execution precondition gate. Steps 0.55 (entity resolution)
and 0.75 (query planner) are now non-skippable on WebSearch platforms.
--emit md is banned as a primary user-facing flow; --emit=compact with
--plan is mandatory. OpenClaw --auto-resolve fallback preserved.
2. WebSearch "Sources:" mandate override. The WebSearch tool description
contains a CRITICAL/MUST mandate to append a Sources section. That is
explicitly superseded inside /last30days with matched-register
CRITICAL/MANDATORY override language and a BAD/GOOD example. The
existing web-source line is the citation; nothing appends below the
invitation.
3. Pre-present self-check. Before displaying, the model verifies bold
per-paragraph headlines, per-source emoji stats, quoted highlights,
Polymarket block, coverage footer, and (critically) no trailing
Sources block. One regeneration permitted if checks fail.
Also adds explicit MANDATORY language to the "What I learned" template
requiring bold headline phrases on every narrative paragraph.
Root cause: same-session A/B on 2026-04-15 between /last30days kanye
west (rich output, ran Steps 0.55 + 0.75, --emit=compact --plan) and
/last30days hermes ai (bland output, skipped both, --emit md) showed
the template was fine -- the model was lazily taking a shortcut SKILL.md
tolerated. No engine, render.py, or contributor PR was the cause.
Co-authored-by: Matt Van Horn <455140+mvanhorn@users.noreply.github.com>
Co-authored-by: Claude Opus 4.6 (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>
- description leads with imperative 'Research' + 'what people actually say' (strong trigger signal for community/social-research prompts)
- argument-hint shows 3 concrete user phrasings instead of marketing copy
- 176 chars, well under Anthropic's 200-char cap
- preserves all source coverage (Reddit, X, YouTube, TikTok, Hacker News, Polymarket, GitHub, web)
Per ecosystem research (April 2026), trigger description quality is the single
biggest lever separating 500-install skills from 350k-install skills.
Atomic bump across all four manifests:
- SKILL.md (root)
- skills/last30days/SKILL.md (internal spec)
- .claude-plugin/plugin.json
- gemini-extension.json
CHANGELOG entry documents the skill-upload packaging fix, vendor/ removal,
legacy plans/ removal, and the new scripts/build-skill.sh builder.
The SKILL.md prompt header still said v2.9.5 while pyproject.toml
and the rest of the codebase are on v3.0.0.
Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com>
* feat: INCLUDE_SOURCES config + TikTok/Instagram opt-in in NUX
- INCLUDE_SOURCES=tiktok,instagram in .env forces sources on for all
query types, bypassing the tier system
- NUX shows opt-in modal after ScrapeCreators key is saved: "Also
search TikTok and Instagram?" with honest call-usage warning
- Tier system preserved as default — override only when INCLUDE_SOURCES set
Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com>
* fix: neutral call-usage copy — works for free and paid tiers
---------
Co-authored-by: Matt Van Horn <mvanhorn@MacBook-Pro.local>
Co-authored-by: Claude Opus 4.6 (1M context) <noreply@anthropic.com>
Add extract_transcript_highlights() that scores sentences by specificity
(numbers, proper nouns, topic relevance) and filters YouTube filler
(subscribe, welcome back, etc). Top 5 highlights shown as structured
bullets in compact output. Full transcript moved to collapsible <details>
block so the LLM reads highlights first, full text on demand.
SKILL.md updated to instruct the judge agent to quote highlights
directly in synthesis, same as Reddit top comments.
Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
Updated frontmatter description to be more search-friendly for ClawHub.
Added 12 new tags: deep-research, twitter, bluesky, recency, news,
citations, multi-source, social-media, analysis, web-search, ai-skill,
clawhub. Also added 11 GitHub repo topics.
Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com>
The short alias /last30 only works on some platforms. Claude Code requires
the full /last30days name, so the follow-up suggestions after comparison
research were producing "Unknown skill: last30" errors.
Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com>
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>
searchPosts endpoint now returns 403 for unauthenticated requests.
Add session auth via createSession, gate on BSKY_HANDLE + BSKY_APP_PASSWORD
env vars. When unconfigured, Bluesky is completely invisible (no error).
Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
Add COMPARISON query type for "X vs Y" research with 3 parallel passes.
Add Bluesky stats line and update all source list references.
Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
- Remove double quotes around $ARGUMENTS so argparse can parse flags
like --deep, --store separately instead of as part of the topic string.
Fixes#61.
- Add ~/.claude/plugins/marketplaces/last30days-skill to the path
discovery loop so marketplace installs can find scripts/.
Fixes#54.
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>
PR merges on March 7 (PR #48 Xiaohongshu, upstream merge) regressed
SKILL.md by re-introducing the "Save Research to Documents" section
that v2.9.4 removed. Those branches were forked before v2.9.4 and
brought the old content back via merge resolution.
Fixes: remove save section, restore --save-dir flag on bash command,
update agent mode line, add tool-call guard to STOP instruction.
Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
- Remove prompt-injection false positive ("you are now" → "treat yourself as")
- Declare AUTH_TOKEN and CT0 in frontmatter optionalEnv
- Clarify X token access language (no browser session access)
- Add permissions overview block near top of file
Zero functionality changes — metadata and prose only.
Co-Authored-By: Claude Sonnet 4.6 <noreply@anthropic.com>
Add --save-dir flag to last30days.py that saves raw research output
during the existing script run. Remove entire "Save Research to
Documents" section from SKILL.md (~45 lines). No more extra tool
calls, no (No output), no multi-minute cogitation after invitation.
Tested: --mock confirms file creation and duplicate date suffixing.
Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
CRITICAL: run_in_background callbacks caused model to re-engage after
save, hallucinate fake "Human:" messages, and generate unsolicited
multi-paragraph responses. Switch to foreground cat > heredoc which
executes sub-second with no callback.
Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
- Background Bash heredoc instead of Write tool
- Suppress response text on save completion
- 📎 footer line replaces verbose confirmation
Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
The Write tool displays "Wrote N lines..." after the invitation,
ruining the end-of-run experience. Now saves via background Bash
with a subtle 📎 footer line in the invitation text.
Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
The Write tool displays "Wrote N lines..." after the invitation,
ruining the end-of-run experience. Now saves via background Bash
with a subtle 📎 footer line in the invitation text.
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>
Bump version to 2.9.1, update changelog and release notes.
Credit @devin_explores for inspiring the feature.
Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
Every run now automatically saves the complete briefing (synthesis,
stats, follow-up suggestions) as a topic-named .md file in the user's
Documents folder. Agent mode also saves. No Python script changes -
this is purely a SKILL.md instruction addition.
Inspired by @devin_explores manually saving results to build a
personal research library.
Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
- New scripts/lib/reddit.py: multi-query expansion, global search,
subreddit discovery, targeted subreddit search, comment enrichment
- 68 results in 17s vs ~15 results in 60-90s (OpenAI)
- Cost: ~$0.02/search vs $0.03-0.10 (15-50x cheaper)
- Real engagement data (score, comments, dates) from API
- No more 429 rate limits on comment enrichment
- Falls back to OpenAI if SCRAPECREATORS_API_KEY missing
- Registered as last30daysbeta for parallel local testing
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>
Remove double quotes around $ARGUMENTS in SKILL.md so bash word-splits
the expansion, and change argparse topic from nargs="?" to nargs="*"
so multi-word topics still work. Also document --store, --include-web,
--diagnose, and --timeout flags in the Options section.
Closes#36
Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
When running in Claude Code, the assistant has a built-in WebSearch tool
that's free and higher quality than Parallel AI/Brave/OpenRouter. Adding
--no-native-web to the SKILL.md invocation defers web search to the
assistant, saving API credits. OpenClaw invocations don't pass this flag,
so they continue using native web backends.
Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
Add TikTok search, scoring, and rendering using the Apify platform
(clockworks/tiktok-scraper actor). Users bring their own APIFY_API_TOKEN
($5/month free credits, no CC required). The shared apify_client_wrapper
module is designed for reuse by future Facebook/Instagram sources.
- New modules: tiktok.py (search + caption extraction), apify_client_wrapper.py
- Schema: TikTokItem dataclass, shares field on Engagement, Report.tiktok
- Pipeline: normalize → filter → score → sort → dedupe → cross-link → render
- Scoring: 0.50*log1p(views) + 0.30*log1p(likes) + 0.20*log1p(comments)
- SKILL.md bumped to v2.7 with TikTok stats, citations, and security docs
- 26 unit tests covering relevance, normalize, score, dedupe, render, round-trip
Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
URLs in markdown links wrap badly in terminals (discovered after first
fix attempt). Change to plain names like "Newsweek, Sportskeeda, Medium"
on the Web: stats line. Update citation note to explain the reason.
Tested on Dor Brothers, Kanye West, Logan Paul - no trailing Sources:
block appeared in any of the three test runs.
Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
The WebSearch tool has a system-level mandate to append a Sources:
section at the end of every response. SKILL.md's old "DO NOT output
Sources: list" instruction was too weak to override it.
Fix: redirect citations into the stats block's Web: line as inline
links. The WebSearch citation requirement is satisfied there; an
explicit note after the stats block tells the model not to append
a separate trailing section.
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>
Matt Van Horn