Auto-Empirical-Research-Skills — security grade SAFE, quality 56/100

Security audit verdict: SAFE · quality 56/100

No red flags found in any of the 11 categories — no credential harvesting, no data exfiltration, no curl-pipe-shell installer. Scanned against the SlowMist agent-security taxonomy, refreshed every 8 hours. Full audit →

by brycewang-stanford · Agent Tool · ★ 4.3k

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

🔒 Is Auto-Empirical-Research-Skills safe to install? View the security audit →

About Auto-Empirical-Research-Skills

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 REAP](https://img.shields.io/badge/Maintained%20by-CoPaper.AI%20from%20Stanford%20

academic-researchagent-skillsai-agentawesome-listcommunicationcopapereconomicseducationempirical-researchinternational-relations

Quick Facts

Stars4,315
Forks523
LanguageStata
CategoryAgent Tool
Quality Score55.7310998302321/100
Last Updated2026-09-21
Created2026-04-03
Est. Tokens~28k

Compatible Skills

These tools work well together with Auto-Empirical-Research-Skills for enhanced workflows:

  • stata-mcp — semantic(0.49)+complementary+rare_topics+similar_pop (61%)
  • mcp-for-stata — semantic(0.56)+complementary+rare_topics+similar_pop (59%)
  • academic-research-skills-codex — semantic(0.30)+complementary+rare_topics+similar_pop (50%)
  • paperbanana — semantic(0.23)+complementary+rare_topics+similar_pop (48%)
  • human-skill-tree — semantic(0.33)+complementary+rare_topics+similar_pop (46%)

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Frequently Asked Questions

What is Auto-Empirical-Research-Skills?

Auto-Empirical-Research-Skills is 🔬 A curated collection of 23,000+ agent skills for empirical research across 8 social science disciplines. | 精选 23,000+ AI Agent 技能库，覆盖8大社会科学学科的实证研究。CoPaper.AI 20分钟完成一篇可复现的规范实证论文，并支持用户上传 Skills。-- Ma. It is categorized as a Agent Tool with 4.3k GitHub stars.

What programming language is Auto-Empirical-Research-Skills written in?

Auto-Empirical-Research-Skills is primarily written in Stata. It covers topics such as academic-research, agent-skills, ai-agent.

How do I install or use Auto-Empirical-Research-Skills?

You can find installation instructions and usage details in the Auto-Empirical-Research-Skills GitHub repository at github.com/brycewang-stanford/Auto-Empirical-Research-Skills. The project has 4.3k stars and 523 forks, indicating an active community.

What are the best alternatives to Auto-Empirical-Research-Skills?

The top alternatives to Auto-Empirical-Research-Skills on Agent Skills Hub include awesome-agent-skills, goutoujunshi, goutoujunshi. Each offers a different approach to the same problem space — compare them side-by-side by stars, quality score, and community activity.

How this security grade is produced

Grades come from a rule-based scan built on the SlowMist agent-security taxonomy, covering 11 red-flag categories including credential harvesting, data exfiltration, and curl | sh installers. 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:

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