Last30Days Community Intelligence for OpenClaw

OpenClaw adaptation of @mvanhorn's last30days skill. Research any topic from the last 30 days across Reddit, X, YouTube, TikTok, Instagram, Hacker News, Poly...

last30days-openclaw

Attribution: This skill is an OpenClaw adaptation of @mvanhorn's MIT-licensed project: https://github.com/mvanhorn/last30days-skill.

What is original vs adapted

Original (from @mvanhorn)

• Core Python research engine (scripts/last30days.py + scripts/lib/*)
• Multi-source data collection and ranking logic
• Watchlist, briefing, and history database architecture
• Vendored bird-search X client and source connectors

OpenClaw adaptation (this folder)

• OpenClaw skill packaging (skill.json, this SKILL.md)
• OpenClaw-first storage paths under ~/.openclaw/workspace
• OpenClaw secrets file convention: ~/.openclaw/workspace/.secrets/last30days.env
• OpenClaw cron helper: scripts/openclaw_watchlist_run.sh
• Setup helper for secrets: scripts/setup_openclaw_env.sh

Runtime paths (OpenClaw defaults)

• Secrets: ~/.openclaw/workspace/.secrets/last30days.env
• DB: ~/.openclaw/workspace/data/last30days/research.db
• Briefings: ~/.openclaw/workspace/data/last30days/briefs/
• Output artifacts: ~/.openclaw/workspace/data/last30days/out/

Setup

cd ~/.openclaw/workspace/skills/last30days-openclaw
./scripts/setup_openclaw_env.sh
python3 scripts/last30days.py --diagnose

macOS X-cookie support (Bird)

The vendored Bird client reads browser cookies on macOS.

• Log into x.com in Safari/Chrome/Firefox
• Verify auth:

node scripts/lib/vendor/bird-search/bird-search.mjs --whoami

If that fails, set AUTH_TOKEN + CT0 in the secrets file.

Command routing

Use first token to route mode:

• watch ... → watchlist management
• briefing ... → briefing generation
• history ... → history/FTS queries
• anything else → one-shot research

One-shot research (default mode)

Run via OpenClaw exec:

cd ~/.openclaw/workspace/skills/last30days-openclaw
python3 scripts/openclaw_run.py "TOPIC"
# equivalent engine call:
# python3 scripts/last30days.py "TOPIC" --emit=compact --no-native-web

• Use --quick or --deep for depth.
• Use --store to persist findings.
• Use --search reddit,x,youtube,tiktok,instagram,hn,polymarket,web for source subsets.

Watchlist mode

python3 scripts/watchlist.py add "TOPIC"
python3 scripts/watchlist.py list
python3 scripts/watchlist.py run-one "TOPIC"
python3 scripts/watchlist.py run-all

OpenClaw cron integration

Use this wrapper in a scheduled exec/cron job:

~/.openclaw/workspace/skills/last30days-openclaw/scripts/openclaw_watchlist_run.sh

This writes logs to: ~/.openclaw/workspace/logs/last30days-watchlist.log

Briefing mode

python3 scripts/briefing.py generate
python3 scripts/briefing.py generate --weekly
python3 scripts/briefing.py show --date YYYY-MM-DD

History mode

python3 scripts/store.py query "TOPIC" --since 7d
python3 scripts/store.py search "QUERY"
python3 scripts/store.py trending
python3 scripts/store.py stats

Notes

• If native web keys are absent, run with --no-native-web and use OpenClaw's web_search tool for web supplementation.
• Preserve source weighting in synthesis: Reddit/X/YouTube/TikTok/Instagram/HN/Polymarket signals first, web second.
• Never remove attribution to @mvanhorn when republishing this adaptation.