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).

Evaluated Mar 29, 2026 (0d ago)
Repo ↗ Ai Ml ai-ml ai-skill web-search social-media research recency claude-code codex twitter reddit hackernews youtube polymarket bluesky
⚙ Agent Friendliness
43
/ 100
Can an agent use this?
🔒 Security
47
/ 100
Is it safe for agents?
⚡ Reliability
31
/ 100
Does it work consistently?

Score Breakdown

⚙ Agent Friendliness

MCP Quality
0
Documentation
78
Error Messages
0
Auth Simplicity
55
Rate Limits
25

🔒 Security

TLS Enforcement
60
Auth Strength
55
Scope Granularity
30
Dep. Hygiene
40
Secret Handling
45

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

Uptime/SLA
0
Version Stability
55
Breaking Changes
45
Error Recovery
25
AF Security 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

REST API
No
GraphQL
No
gRPC
No
MCP Server
No
SDK
No
Webhooks
No

Authentication

Methods: Environment variable API keys for third-party data sources (e.g., SCRAPECREATORS_API_KEY, OPENAI_API_KEY if not using Codex login, PARALLEL_API_KEY/BRAVE_API_KEY/OPENROUTER_API_KEY for optional web search backends). X search cookie-based auth via AUTH_TOKEN and CT0 (copied from x.com cookies). XAI_API_KEY fallback for X search backend. Bluesky app password auth via BSKY_HANDLE and BSKY_APP_PASSWORD. Codex/Codex login-based auth for using Codex credentials for the OpenAI Responses API (per README).
OAuth: No Scopes: No

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

Free tier: No
Requires CC: No

README mentions third-party services (ScrapeCreators, Brave free tier, etc.) but does not provide an overall pricing plan for the skill itself.

Agent Metadata

Pagination
none
Idempotent
False
Retry Guidance
Not documented

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.

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Scores are editorial opinions as of 2026-03-29.

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Packages Evaluated
21056
Need Evaluation
586
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