last30days-skill: AI agent skill that researches any topic across Reddit, X, YouTube, HN, Polymarket, and the web

by mvanhorn · Codex Skill · ★ 66.8k

Last updated: · Indexed by AgentSkillsHub · Auto-synced every 8h

Featured in: Content Syndication

How to install last30days-skill

/plugin marketplace add mvanhorn/last30days-skill
/plugin install last30days@last30days-skill

Taken from the project's README on GitHub. Check the security audit before running it.

Security audit verdict: SAFE · quality 70/100

None of the 42 rules matched — no credential harvesting, no data exfiltration, no curl-pipe-shell installer. Scanned against 42 published rules built on the SlowMist agent-security taxonomy, refreshed every 8 hours. Full audit →

The quality score combines nine heuristic checks of the repo and its README: completeness, clarity, specificity, examples, structure, agent readiness, step-by-step content, instruction quality and security notes. It rates how well the project explains itself to an agent, not the code.

ai-promptsai-skillblueskyclaudeclaude-codeclawhubdeep-researchhackernewsinstagramopenclaw

Quick Facts

Stars66,816
Forks5,860
LanguagePython
CategoryCodex Skill
LicenseMIT
Quality Score70/100
Open Issues17
Last Updated2026-11-05
Created2026-01-23
Platformsbrowser, claude-code, python
Est. Tokens~25k

About last30days-skill

/last30days v2.9.1 The AI world reinvents itself every month. This skill keeps you current. /last30days researches your topic across Reddit, X, YouTube, TikTok, Instagram, Hacker News, Polymarket, and the web from the last 30 days, finds what the community is actually upvoting, sharing, betting on, and saying on camera, and writes you a grounded narrative with real citations.

Compatible Skills

These tools work well together with last30days-skill for enhanced workflows:

  • Agent-Reach — semantic(0.35)+complementary+same_lang+similar_pop+shared_platform (62%)
  • CoexistAI — semantic(0.31)+complementary+rare_topics+similar_pop+shared_platform (55%)
  • reddit-mcp — semantic(0.36)+complementary+rare_topics+same_lang+shared_platform (52%)
  • reddit-mcp-buddy — semantic(0.34)+complementary+rare_topics+similar_pop+shared_platform (51%)
  • claude-youtube — semantic(0.31)+complementary+rare_topics+same_lang+shared_platform (50%)

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How this security grade is produced

Grades come from a rule-based scan built on the SlowMist agent-security taxonomy: 42 published rules, covering credential harvesting, data exfiltration, curl | sh installers and more. It is a first-layer scan, not a manual audit — we say so rather than overstate it.

The scale of the problem is documented independently: Liu et al. (2026), in a study of 31,132 agent skills, report that 26.1% contain security vulnerabilities. Our own full-catalog census is published as a citable open dataset.

Sources & who's responsible:

View on GitHub → Browse Codex Skill tools