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keylimesoda

Last30Days Community Intelligence for OpenClaw

by Ric Lewis · GitHub ↗ · v1.0.0-openclaw.1
cross-platform ⚠ suspicious
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Install in OpenClaw
/install last30days-openclaw
Description
OpenClaw adaptation of @mvanhorn's last30days skill. Research any topic from the last 30 days across Reddit, X, YouTube, TikTok, Instagram, Hacker News, Poly...
README (SKILL.md)

last30days-openclaw

Attribution: This skill is an OpenClaw adaptation of @mvanhorn's MIT-licensed project: \x3Chttps://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.
Usage Guidance
This repository implements the advertised multi-source research engine, but before installing or running it you should: - Review the scripts yourself (especially scripts/lib/vendor/bird-search and scripts/setup_openclaw_env.sh) to confirm you accept cookie access and file-write behavior. - Be aware the Bird client can read browser cookies on macOS (it may prompt for Keychain access); if you don't want that, avoid using the Bird path and provide service API keys instead or run with mocking (--mock). - Expect to supply sensitive API keys (ScrapeCreators, OpenAI, xAI, Brave/Parallel/OpenRouter) if you want native scraping/search; store them securely (the code expects a .env-like secrets file) and set file permissions (chmod 600). - Note the skill writes persistent data (SQLite DB, briefs, logs) into ~/.openclaw/workspace (and upstream docs mention saving to ~/Documents/Last30Days/) — if you don't want persistent archives, run with --no-store or inspect/modify scripts to change save locations. - Because the skill metadata does not enumerate its environment/credential needs, do not rely solely on registry metadata — the code itself expects many env vars. If you want to reduce risk, run the skill in a sandbox/container or test with --mock to avoid network/cookie access. If these behaviors (cookie reading, multiple API keys, persistent storage) are acceptable for your threat model and you reviewed the code, the skill is coherent with its purpose. If not, do not install or run it until you either remove the vendored cookie path or run it in an isolated environment.
Capability Analysis
Type: OpenClaw Skill Name: last30days-openclaw Version: 1.0.0-openclaw.1 The skill includes a vendored Node.js component (bird-search) and associated library (scripts/lib/bird_x.py) that programmatically extracts authentication cookies (auth_token, ct0) from Safari, Chrome, and Firefox browsers on macOS. While this is documented as a feature to enable X (Twitter) search without an API key, the automated extraction of sensitive browser data is a high-risk capability typically associated with credential theft. The skill also requires broad file system access to manage secrets and a SQLite database, and it explicitly encourages the creation of cron jobs for persistence (scripts/openclaw_watchlist_run.sh). Although the behavior appears aligned with the stated research purpose, the combination of browser data access and automated scheduling warrants a suspicious classification.
Capability Assessment
✓ Purpose & Capability
The code and docs match the name/description: connectors for Reddit, X, YouTube, TikTok, Instagram, Hacker News, Polymarket and web search are present and used by the Python engine. The vendored Bird client for X (twitter/x) is included which fits the stated X support.
⚠ Instruction Scope
Runtime instructions and the shipped scripts instruct the agent/operator to run Python/Node scripts that will perform network scraping and persist results locally. The vendored Bird client reads browser cookies on macOS (explicitly documented). The code also creates and reads a secrets file (~/.openclaw/workspace/.secrets/last30days.env), writes DB and briefing files under ~/.openclaw/workspace/data, and the upstream README mentions auto-saving to ~/Documents/Last30Days/. These I/O and cookie-access actions involve sensitive local data and persistent storage beyond ephemeral runtime output.
✓ Install Mechanism
No remote install spec or download URLs are present (instruction-only packaging + included source). The vendored bird-search client is included in the repository. Node 22+ is required for the vendored bird client but there is no remote fetch of arbitrary code at install time.
⚠ Credentials
The project uses multiple sensitive environment variables (SCRAPECREATORS_API_KEY, OPENAI_API_KEY, XAI_API_KEY, AUTH_TOKEN/CT0 fallback for X, PARALLEL_API_KEY/BRAVE_API_KEY/OPENROUTER_API_KEY, etc.) which are reasonable for the declared data sources, but the skill metadata declares no required env vars or primary credential. The omission of declared required secrets in the skill metadata is an inconsistency and an information-gap the user should notice. Additionally, the documented ability to read browser cookies (and prompt for Keychain access on macOS) is sensitive and should be considered before running.
ℹ Persistence & Privilege
The skill writes local SQLite DBs, briefings, logs, and a secrets file under the user's OpenClaw workspace (persistent storage). always:false (no forced always-on). The upstream docs mention an optional auto-save to ~/Documents/Last30Days/ (persistent user documents) — that behavior is potentially surprising and should be confirmed before use. The skill does not request system-wide privileges or modify other skills in the repository.
How to Use
  1. Make sure OpenClaw is installed (local or Docker)
  2. Run the install command in chat: /install last30days-openclaw
  3. After installation, invoke the skill by name or use /last30days-openclaw
  4. Provide required inputs per the skill's parameter spec and get structured output
Version History
v1.0.0-openclaw.1
OpenClaw adaptation of mvanhorn/last30days-skill. Real-time community research across 8 platforms: Reddit, X, YouTube, TikTok, Instagram, HN, Polymarket, web. Includes watchlist automation, prompt generation, and cron integration. Full attribution to original author.
Metadata
Slug last30days-openclaw
Version 1.0.0-openclaw.1
License —
All-time Installs 5
Active Installs 5
Total Versions 1
Frequently Asked Questions

What is 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... It is an AI Agent Skill for Claude Code / OpenClaw, with 1090 downloads so far.

How do I install Last30Days Community Intelligence for OpenClaw?

Run "/install last30days-openclaw" in the OpenClaw or Claude Code chat to install it in one step — no extra setup required.

Is Last30Days Community Intelligence for OpenClaw free?

Yes, Last30Days Community Intelligence for OpenClaw is completely free (open-source). You can download, install and use it at no cost.

Which platforms does Last30Days Community Intelligence for OpenClaw support?

Last30Days Community Intelligence for OpenClaw is cross-platform and runs anywhere OpenClaw / Claude Code is available (cross-platform).

Who created Last30Days Community Intelligence for OpenClaw?

It is built and maintained by Ric Lewis (@keylimesoda); the current version is v1.0.0-openclaw.1.

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