by brycewang-stanford · Agent Tool · ★ 4.9k
Last updated: · Indexed by AgentSkillsHub · Auto-synced every 8h
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.
One of 36 tools we ran end to end on the same task for our Claude Code Skills page (2026-10-11).
Result: 1,024 distinct skills · 97% meet the format · installed whole, most skills are listed by name only
| Stars | 4,888 |
| Forks | 566 |
| Language | Stata |
| Category | Agent Tool |
| Quality Score | 56/100 |
| Last Updated | 2026-11-02 |
| Created | 2026-04-03 |
| Est. Tokens | ~28k |
Auto-Empirical Research Skills (AERS) 🌐 Language / 语言: English | 中文 Stanford REAP × CoPaper.AI · An academic-industrial AI toolkit for empirical research Crafted by Stanford's empirical methodology team — covering the full pipeline from data cleaning to top-journal submission [![Maintained by CoPaper.AI from Stanford...
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A ready-to-fork Claude Code template for academic research — papers, data analysis (R, Stata, Python), slides
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一个先接住情绪、再分析关系并给出可执行策略的 Codex 恋爱军师，内置心理、法律、社会、人文、哲学、婚姻家庭与性学知识库，支持多元关系。
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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: