How do I install the Last30days Openclaw skill?

Run npx skillmds@latest add dvcrn/last30days-openclaw in your terminal (requires Node.js), paste this page's agent-chat prompt into Claude, Cursor, or any MCP-connected agent, or download the SKILL.md file and copy it into your agent's skills directory.

Is Last30days Openclaw safe to use?

This skill has not completed SkillMD's automated safety review yet. Independent scanners report: SkillSpector: CAUTION, Skill Scanner: PASS. Capability flags: executes scripts, makes network calls, reads secrets. SkillMD never runs a skill's scripts for you; review the SKILL.md before installing.

Which AI agents work with Last30days Openclaw?

This skill is tagged as working with Claude Code, Claude.ai, OpenAI Codex. SKILL.md is an open format, so most agents that read a skills directory can load it too.

Is Last30days Openclaw free to use?

Yes. Installing skills from SkillMD is free, and the skill stays under its author's original license.

Who published Last30days Openclaw?

dvcrn (@dvcrn) published this skill. Their other Agent Skills are listed on their SkillMD profile.

Last30days Openclaw by dvcrn — Agent Skill

Name: Last30days Openclaw
Rating: 4.2 (5 reviews)
Author: dvcrn

Last30days Openclaw

OpenClaw adaptation of @mvanhorn's last30days skill. Research any topic from the last 30 days across Reddit, X, YouTube, TikTok, Instagram, Hacker News, Polymarket, and web. Includes watchlists, briefing generation, and historical query mode.

dvcrn Updated Sep 8, 2026 32 repo stars

File contents

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.

---name: last30days-openclawdescription: OpenClaw adaptation of @mvanhorn's last30days skill. Research any topic from the last 30 days across Reddit, X, YouTube, TikTok, Instagram, Hacker News, Polymarket, and web. Includes watchlists, briefing generation, and historical query mode.---# 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```bashcd ~/.openclaw/workspace/skills/last30days-openclaw./scripts/setup_openclaw_env.shpython3 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:```bashnode scripts/lib/vendor/bird-search/bird-search.mjs --whoami```If that fails, set `AUTH_TOKEN` + `CT0` in the secrets file.## Command routingUse 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`:```bashcd ~/.openclaw/workspace/skills/last30days-openclawpython3 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```bashpython3 scripts/watchlist.py add "TOPIC"python3 scripts/watchlist.py listpython3 scripts/watchlist.py run-one "TOPIC"python3 scripts/watchlist.py run-all```### OpenClaw cron integrationUse this wrapper in a scheduled exec/cron job:```bash~/.openclaw/workspace/skills/last30days-openclaw/scripts/openclaw_watchlist_run.sh```This writes logs to:`~/.openclaw/workspace/logs/last30days-watchlist.log`## Briefing mode```bashpython3 scripts/briefing.py generatepython3 scripts/briefing.py generate --weeklypython3 scripts/briefing.py show --date YYYY-MM-DD```## History mode```bashpython3 scripts/store.py query "TOPIC" --since 7dpython3 scripts/store.py search "QUERY"python3 scripts/store.py trendingpython3 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.

Frequently asked questions