last30days-skill
A Python-based “AI agent skill” that researches a topic from multiple public web sources (e.g., Reddit, X, Bluesky, YouTube, TikTok, Instagram, Hacker News, Polymarket, and the general web) over the last ~30 days, then synthesizes grounded summaries and/or tool-specific prompt guidance with citations. It is distributed as a Claude Code plugin/skill and also appears to support other clients (e.g., Gemini CLI extensions, OpenAI Codex CLI, and an “open variant” for watchlists/briefings with local SQLite storage).
Score Breakdown
⚙ Agent Friendliness
🔒 Security
Security posture is only partially inferable from README. HTTPS/TLS is not explicitly stated, but API access implies TLS in practice. Auth is handled via environment variables (good baseline) and cookie values for X (higher risk if mishandled). No explicit mention of secret redaction/logging behavior, encryption at rest, or scoped permissions (no OAuth scopes described). Dependency hygiene and vulnerability status are not provided.
⚡ Reliability
Best When
You want recent community signals and citations across multiple social/news platforms, and you’re comfortable operating via Claude Code/Codex-style skill commands and providing platform API credentials where required.
Avoid When
You need strict uptime guarantees, standardized API endpoints (OpenAPI), fine-grained rate limit guarantees, or strongly documented security/compliance properties for enterprise/regulated environments.
Use Cases
- • Prompt engineering/research (e.g., what works for a given target tool)
- • Trend discovery over a recent time window (culture, news, products, viral content)
- • Tool best-practices research (how people use specific tools/workflows)
- • Product/feature research based on recent community discussion
- • Always-on competitor/topic watchlists with scheduled re-research and searchable history (open variant)
Not For
- • Real-time or minute-level monitoring (described as last-30-days research and may take minutes)
- • Highly sensitive or private data ingestion (no explicit support described)
- • Auditing/verification where strong guarantees are required (it aggregates from multiple sources; verification quality not specified)
- • Applications requiring a stable, formal REST/GraphQL API contract (primary interface appears to be skill/CLI integration)
Interface
Authentication
Authentication is primarily via environment variables and (for X) cookie values; there is no OAuth flow described in the README. Cookie-based handling implies additional operational/security considerations for agents and local environments.
Pricing
README mentions third-party services (ScrapeCreators, Brave free tier, etc.) but does not provide an overall pricing plan for the skill itself.
Agent Metadata
Known Gotchas
- ⚠ Primary interaction model appears to be command/skill invocation (Claude Code/Codex/OpenClaw), not a stable programmatic HTTP API. Agents may need to execute CLI steps and manage environment variables.
- ⚠ X search requires AUTH_TOKEN/CT0 cookie values or an alternative XAI backend key; cookie auth can break when cookies expire or environment differs.
- ⚠ Run time is described as 2–8 minutes depending on topic/niche; long-running agent tasks may hit orchestrator timeouts.
- ⚠ Multiple third-party integrations (ScrapeCreators, optional web search providers, Bluesky, Polymarket, etc.) increase the chance of partial failures depending on provider availability/quotas.
Alternatives
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Scores are editorial opinions as of 2026-03-29.