last30days-skill-cn: 给 AI Agent 的中文互联网研究 Skill:检索 8 大平台最近 30 天的讨论,追踪跨平台热点,生成附原始来源的报告

by Jesseovo · Codex Skill · ★ 1.9k

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

How to install last30days-skill-cn

npx skills add Jesseovo/last30days-skill-cn -g
git clone https://github.com/Jesseovo/last30days-skill-cn.git

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

Security audit verdict: SAFE · quality 67/100

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.

agent-skillsai-agentbilibilichineseclaude-codecodexdeep-researchdsh-pluginopenclawopenclaw-skills

Quick Facts

Stars1,928
Forks199
LanguagePython
CategoryCodex Skill
Quality Score67/100
Last Updated2026-10-21
Created2026-03-31
Platformsbrowser, claude-code, codex, python
Est. Tokens~16k

About last30days-skill-cn

📰 last30days-cn — 中国平台深度研究引擎 🚀 30 天的研究,30 秒的结果。8 大平台。零过时信息。 last30days-cn 是一个 AI Agent 技能(Skill),能够自动搜索中国互联网 8 大主流平台最近 30 天的内容,综合分析后生成有据可查的研究报告。 🔗 本项目基于 mvanhorn/last30days-skill 进行深度本土化改造,完全面向中国用户和中文互联网平台。 🕷️ v2.0 集成 MediaCrawler 爬虫引擎思路,大幅减少 API Key 依赖。v2.1 修复百度/小红书反爬问题,XHR 拦截替代 DOM 解析,Bing 兜底搜索,已移除无效的 ScrapeCreators 小红书集成。 当前版本: 👤 作者 / Author: Jesse (@Jesseovo) ✨ v3.0.0 升级内容 追平原版 v3 的...

Compatible Skills

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

  • kindly-web-search-mcp-server — semantic(0.33)+complementary+rare_topics+same_lang+similar_pop+shared_platform (66%)
  • last30days-skill — semantic(0.30)+complementary+rare_topics+same_lang+shared_platform (64%)
  • FreeRide — semantic(0.32)+complementary+same_lang+similar_pop+shared_platform (61%)
  • ask-search — semantic(0.30)+complementary+same_lang+similar_pop+shared_platform (61%)
  • Clawd-Code — semantic(0.24)+complementary+same_lang+similar_pop+shared_platform (59%)

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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