OpenAgentSkill Registry Manifest
Skill: Auto Empirical Research Skills
Slug: brycewang-stanford-auto-empirical-research-skills
Category: agent-skills
Description: 🔬 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。-- Maintained by CoPaper.AI from Stanford REAP.

Agent fit:
- Decision: 100/100 Production-ready
- Primary fit: RAG and knowledge
- Role: Primary pick

Supply profile:
- Track: Research and knowledge work
- Scenario: RAG and knowledge
- Applicable agents: Claude Code, CLI, Codex, Cursor, Stata
- Maintenance: 18d since push
- Risk: Safe to try

Trust:
- Trust score: 88/100 Production candidate
- Audit: 92/100 Safe to try

Attribution:
- Status: Community indexed
- Source: GitHub star discovery
- Creator: brycewang-stanford
- Claim URL: https://www.openagentskill.com/skills/brycewang-stanford-auto-empirical-research-skills#claim-this-skill

Install:
npx skills add brycewang-stanford/Auto-Empirical-Research-Skills

URLs:
- Web: https://www.openagentskill.com/skills/brycewang-stanford-auto-empirical-research-skills
- API: https://www.openagentskill.com/api/agent/skills/brycewang-stanford-auto-empirical-research-skills
- Install API: https://www.openagentskill.com/api/skills/brycewang-stanford-auto-empirical-research-skills/install
- Repository: https://github.com/brycewang-stanford/Auto-Empirical-Research-Skills