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>
Root cause of empty TikTok results: Apify required monthly subscription.
ScrapeCreators is PAYG with 100 free credits and no subscription.
Key fix: ScrapeCreators nests items under aweme_info wrapper
(search_item_list[].aweme_info.{fields}), which the previous
implementation missed, causing all fields to be empty.
Changes:
- Rewrite tiktok.py to use ScrapeCreators REST API
- Add aweme_info unwrapping for correct field extraction
- Add transcript fetching via /video/transcript endpoint
- Add SCRAPECREATORS_API_KEY to env.py config
- Update last30days.py to use env.get_tiktok_token()
- Delete apify_client_wrapper.py (no longer needed)
- Update tests for new date field format (create_time)
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>
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>
Only print debug log lines when running in an interactive terminal.
In Claude Code (non-TTY), the spinner system handles progress display,
so these raw log lines just add noise.
Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
Pass logger=None to Apify .call() to prevent the SDK from streaming
raw actor run logs (status messages, crawler stats, warnings) that
drown out the clean spinner UI in Claude Code.
Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
Remove quiet=True from YouTube and TikTok spinners so they display
the same colored emoji progress lines as Reddit and X in non-TTY mode.
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>
The websearch module import was dropped when the tiktok import was added,
causing the script to crash during the rendering phase after all data
was successfully collected.
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>
Inspired by PR #26 (wkbaran), whose early work on HN/YouTube sources helped
shape what we built in v2.5. Cherry-picks the source-filtering concept as a
clean implementation against our existing architecture.
--search=SOURCES accepts comma-separated: reddit, x, hn, youtube, polymarket, web
Example: --search reddit,hn (run only Reddit + Hacker News)
Also:
- bird_x: add noise words (trending, viral, plugin, skills) + last-chance retry
- render: show xAI tip for reddit-only mode regardless of missing_keys value
- tests: new test_bird_x.py (5 tests)
Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
Cherry-picked from PR #24 (el-analista). Adds trending/viral/plugin/skill/tool
noise words to _extract_core_subject, and a last-chance retry that falls back
to the longest non-noise token when 2-word retry also returns 0 results.
cache.py and render.py env overrides were already on main.
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>
- .gitignore: protect docs/comparison-results/ and other private
benchmark artifacts from accidental upstream push
- docs/plans: add plan for PR #37 Codex auth finalization
Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
The test was picking up the real OPENAI_API_KEY from the shell
environment, causing it to fail on any machine with that key set.
Added @patch.dict(os.environ, {}, clear=True) so the test runs in
a clean env and exercises the file_env path as intended.
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>
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>
The Gamma API only searches event titles/slugs, missing markets where the
topic is an outcome (e.g., "Arizona" in NCAA Tournament Winner). This adds:
- All-word query expansion (not just first word): "Arizona Basketball" now
searches "Arizona", "Basketball" independently
- Tag-based domain expansion: extracts category tags (e.g., "NCAA") from
first-pass results and searches those as a second pass
- Neg-risk binary market synthesis: shows team names from market questions
instead of generic Yes/No outcomes
- Question shortening: extracts "Arizona" from "Will Arizona win the NCAA
Tournament?" for clean display
- Increased depth (3 pages) and result caps (15) for more coverage
Live results: "Arizona Basketball" now finds NCAA Tournament Winner (12%),
#1 Seed (88%), Big 12 Champion (69%). "Iran War" returns 15 markets (up
from 9) with no regression.
Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
- Add CROSS to sync targets with sed-patched name/version/description
- Switch cp to rsync to handle identical file edge case on APFS
- CROSS SKILL.md gets last30daysCROSS skill root injected into search path
Co-Authored-By: Claude Opus 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>
Polymarket results now rank by text similarity, volume, liquidity, price
movement, and competitive score instead of API return position. Also fixes
pagination (DEPTH_CONFIG now controls page count, not a no-op limit param)
and caps results after re-ranking.
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>
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>
The resolved handle dedup was wrong: if entity_extract found @thedorbrothers
(from @mentions in Phase 1 results), the resolved handle search was skipped
entirely. But entity-extracted handles are searched WITH topic keywords
(from:handle topic), while resolved handles need UNFILTERED search
(from:handle) to find posts that don't mention the topic string.
Example: Dor Brothers' viral tweet (5.5K likes) says "We made a $300M movie
starring @LoganPaul" - no mention of "dor brothers" anywhere. The topic-
filtered entity search missed it. The unfiltered resolved search finds it.
Before: 30 X posts, 161+ likes (entity search only)
After: 40 X posts, 5549+ likes (resolved handle adds viral tweet)
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>
YouTube videos now get real relevance scores based on token overlap
between the search query and video title (was hardcoded at 0.7).
Uses ratio overlap with stopword removal, floored at 0.1.
Cross-source linking annotates items that discuss the same story
across different platforms (e.g., Reddit + HN + X). Items get
bidirectional cross_refs displayed as [xref: R3, HN5] in compact
output so Claude can triangulate multi-platform coverage.
Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
Reddit and X are the star of the show. In Claude Code (non-TTY),
suppress ⏳ start messages for HN and YouTube so Reddit/X are the
first visible lines. HN/YouTube still show ✓ completion messages.
Also suppress [HN] debug logs in non-TTY to reduce output clutter.
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>
The Reddit search uses OpenAI's Responses API with web_search, which
frequently returns 429 rate limit errors. The previous retry logic used
linear backoff (1s, 2s, 3s) which is too aggressive for OpenAI's rate
limiter (often needs 10-60s waits).
Changes:
- Increase max retries from 3 to 5
- Switch from linear to exponential backoff (2s, 5s, 9s, 17s, 33s)
- Parse and respect Retry-After header from OpenAI 429 responses
- Fall back to cheaper models (gpt-4.1 → gpt-4o) on 429s, not just
on 400/403 access errors
- Remove gpt-4o-mini from fallback chain — it doesn't support
web_search with the filters parameter
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>
When X posts return engagement: null, dict.get("engagement", {})
returns None (key exists with null value), causing AttributeError.
Use `or {}` idiom to coalesce None to empty dict.
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>
OpenAI Responses API web_search takes 60-90s but the generic
future timeout was killing it at 30s (quick) / 60s (default).
Added reddit_future key to TIMEOUT_PROFILES (60/90/120s).
Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
mark-c4r