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>
Removes disable-model-invocation restriction so the skill can be called
by other agents via the Skill tool. Adds --agent flag for non-interactive
report output (skips intro, AskUserQuestion, wait pause, and invitation).
Fixes false security doc claiming autonomous invocation was blocked.
Co-Authored-By: Claude Sonnet 4.6 <noreply@anthropic.com>
- _compute_text_similarity() now checks outcome names with bidirectional
substring matching (0.85) and token overlap (0.7), not just event titles
- Collect outcomes from ALL active markets per event, filter to >1% price
- Reorder outcome_prices to surface topic-matching outcome before top-3 truncation
- Add SKILL.md "Prediction Markets" synthesis section with structural/long-term
market preference, domain examples, citation format, and narrative weaving
- Add Polymarket to citation priority list between HN and Web
- Update stats box template to show up to 5 market odds
- Fix render.py "vol24h" label to "volume"
- Add NCAA seed fixture event for outcome-only matching tests
- 82 polymarket tests pass (14 new)
Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
Make the "omit 0-result sources" instruction more emphatic (CRITICAL prefix,
enumerate all formats to suppress). Change Polymarket stats line to show
top 2-3 market odds instead of just top-1.
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>
Handle resolution was only triggering for "person/brand" topics. Products
and tools like "Nano Banana Pro" or "Seedance" can also have X accounts
(@nanobanana, @seedanceai) but were being skipped.
Changes:
- Broadened trigger: people, brands, products, tools, companies, communities
- Added parody/fan account verification guidance
- Added site:x.com to WebSearch query for better results
- Updated both SKILL.md and OpenClaw variant
Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
When a topic is a person/brand (e.g. "Dor Brothers", "Jason Calacanis"),
the agent now resolves their X handle via WebSearch before running the
script, then passes --x-handle to search their posts unfiltered (no
topic keywords required). This finds posts the entity made without
mentioning their own name.
- SKILL.md + OpenClaw variant: Step 0.5 handle resolution instructions
- last30days.py: --x-handle CLI arg, passed through to _run_supplemental()
- bird_x.search_handles(): topic is now Optional[str] for unfiltered mode
- schema.py: resolved_x_handle field on Report
- render.py: show resolved handle in stats output
Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
Ran 15-way blinded comparison (5 topics x 3 versions). CROSS won all 5 topics
(4.74/5.0 avg vs HN 4.10, Base 3.73). Then improved CROSS further:
- dedupe.py: hybrid similarity (token+trigram Jaccard) at 0.40 threshold,
cross-source links went from 3 to 13 items across 5 topics
- render.py: [xref: HN5, HN4] -> [also on: HN, Reddit] for human-readable tags
- youtube_yt.py: SYNONYMS dict so "hip hop" matches "rap" (0.33 -> 0.71 score)
- SKILL.md: instruction #7 tells Claude to lead with cross-platform signals
Validation: improved CROSS scores 4.38/5.0 vs original 3.98 (+0.40), wins 4/5
topics. Biggest gains in specificity (+0.8) and format compliance (+1.0).
Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
HN was appearing before YouTube in the stats block, sort tiebreaker,
and source status. Now consistently: Reddit > X > YouTube > HN > Web.
Also restored emoji + box-drawing chars in test skill SKILL.md.
Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
Add HN search via free Algolia API (no key needed). Two-phase approach:
search for stories, then enrich top ones with comments. Integrated into
the full pipeline (normalize, score, dedupe, render) running in parallel
with Reddit/X/YouTube. Source priority: Reddit > X > HN > YouTube > Web.
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>
Replace CLI-style promo banners with casual, conversational NUX message
that teaches users to say "last30" + natural language. Remove stale Bird
CLI npm install references and dead prompt_bird_install methods.
Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
- Remove 2>&1 from SKILL.md so stderr doesn't pollute model input
- Run script in foreground (not background) with 5min timeout
- Add explicit YouTube synthesis instruction for Claude
- Remove --flat-playlist which broke date filtering (all dates were None)
- Move date filtering to Python with soft fallback for evergreen topics
- Keep 'tips', 'tutorial', 'review', 'guide' in YouTube search queries
- Increase yt-dlp timeout from 60s to 120s for full metadata fetch
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>
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>
"Research typically takes 2-8 minutes (niche topics take longer)."
Shown right after parsed intent, before research starts.
Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
Replace generic "[topic]" and --days=7 with concrete examples that
show the range: prompting, news, recommendations.
Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
Every invitation now includes 2-3 specific examples based on what the
research actually found. PROMPTING mode explicitly offers to write prompts
with creative examples. NEWS suggests follow-up questions about the
biggest stories. GENERAL suggests specific deep-dives and applications.
Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
GENERAL mode said "write a prompt for it" which sounds weird for people/topics
("write a prompt for Kanye West"). Changed to "describe what you're working on
and I'll help." Added "I'm now an expert on {TOPIC}" prefix to all 4 modes.
Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
- Invitation adapts to QUERY_TYPE: NEWS gets "ask me anything",
PROMPTING gets "share your vision", RECOMMENDATIONS gets "compare options"
- Follow-up handler reads intent: questions get answers, not forced prompts
- Restored V1's "if they ask a question, answer it" context memory line
- URL formatting rule: "per Rolling Stone" not raw URLs
Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
- Add citation priority rule: @handles > r/subreddits > web sources
- Fix examples: "per @honest30bgfan_" instead of "per Rolling Stone"
- Add "lead with people, not publications" instruction
- Stats box: web now shows "(supplementary)" instead of domain list
- No changes to actual research — same quality, better attribution framing
Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
- Add .claude-plugin/marketplace.json and plugin.json manifests
- Use ${CLAUDE_PLUGIN_ROOT:-$HOME/.claude/skills/last30days} for script path
- Plugin install: uses CLAUDE_PLUGIN_ROOT when set
- Manual install: falls back to ~/.claude/skills/last30days (no breakage)
- SKILL.md stays at root, plugin.json points skills to "./"
Users can now install via:
claude plugin marketplace add mvanhorn/last30days-skill
claude plugin install last30days@last30days
Inspired by PR #1 (galligan) — lighter approach without repo restructure.
Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
User preferred V1's "I'll research X across Reddit, X, and the web..."
with explicit Parsed intent block over V2's emoji format.
Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
Feature audit found 11 things v2 dropped from v1. Restored the 7 that affect
output quality: quality checklist for prompts, anti-pattern examples, self-check
instruction, "don't re-search" context memory, prompt format anti-pattern,
multi-prompt guidance, and emoji footer with engagement counts.
Also adds visible query parsing display (🔍 **{TOPIC}** · {QUERY_TYPE}) and
the full v1-vs-v2 comparison test plan with all 17 test queries from README.
Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
Matt Van Horn