DSH Plugins技能

Auto-Empirical-Research-Skills

brycewang-stanford/Auto-Empirical-Research-Skills

Auto-Empirical-Research-Skills is a tool for DeepSeek Harness. 🔬 A curated collection of 23,000+ agent skills for empirical research across 8 social science disciplines. | Curated library of 23,000+ AI Agent skills covering empirical research across 8 social science disciplines. CoPaper.AI completes a reproducible, standards-compliant empirical paper in 20 minutes, and supports user-uploaded Skills.-- Maintained by CoPaper.AI from Stanford REAP.

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brycewang-stanford/Auto-Empirical-Research-Skills Screenshot preview

Stars: 3.8k
Forks: 475
Issues: 1
Update: 9 days

REVIEW SCORECARD

评测成绩单

7.8/10Average

detail.dimSecurity6.0

detail.dimQuality9.0

detail.dimContent8.0

detail.dimDeps7.0

detail.dimMaintenance9.0

✓ 无Risky检出 · 自动化扫描结果仅供参考，非官方背书

AI DEEP REVIEW

AI 深度评测

8.0/10Recommended

A large, actively maintained empirical-research skill library with strong rigor tooling, CI validation, and clear instal

Code quality8

README shows a validate-catalog CI workflow, OpenSSF Scorecard badge, benchmark/eval-harness directories with 19 benchmark tasks and 42 eval scenarios, and a pip-installable aers-score scorer, indicating real engineering rigor.

Security7

README advertises a 'baseline 52/52 CLEAN' security audit and an OpenSSF Scorecard badge, but the license is NOASSERTION and no permission model is described, so risk is only partially evidenced.

Utility9

It targets a concrete, common pain point (reproducible empirical social-science research pipelines) with 1,096 skills across Stata/Python/R and a 9-stage workflow from data cleaning to journal submission.

Maintenance8

Last updated 2026-09-07, not archived, with active CI badges, a maintained catalog, and multi-language READMEs indicating ongoing upkeep.

Docs8

README provides 30-second install paths, plugin-marketplace and manual copy instructions, scope tables, usage examples, and links to INSTALL.md and extended docs, though the excerpt is truncated mid-sentence.

Generated by AI after reading the project README, as a decision aid; neutral scores are given when information is thin. Not an official endorsement.

PROJECT README项目说明展开Collapse

正在读取 GitHub README...

INSTALL REFERENCE

安装参考

待结构检查

claude plugin marketplace add brycewang-stanford/Auto-Empirical-Research-Skills

This command comes from an explicit install reference in the README and is provided for reference only — it is never auto-executed by a DSH host.

PROJECT TOPICS

项目标签

academic-research agent-skills ai-agent awesome-list communication copaper economics education empirical-research international-relations political-science psychology public-administration reproducible-research skills-library social-science sociology

VALIDATION LADDER

验证进度

待结构检查

01市场发现Passed

02归类识别Passed

03结构检查Pending

04实机验证Pending

FAQ

Frequently Asked Questions

What is Auto-Empirical-Research-Skills used for?

🔬 A curated collection of 23,000+ agent skills for empirical research across 8 social science disciplines. | Curated library of 23,000+ AI Agent skills covering empirical research across 8 social science disciplines. Co

How popular is Auto-Empirical-Research-Skills?

Auto-Empirical-Research-Skills has 3,769 stars and 475 forks on GitHub, last updated 2026-09-07.

Is Auto-Empirical-Research-Skills compatible with DeepSeek Harness?

Auto-Empirical-Research-Skills is listed in the DSH Universe directory as a tool for DeepSeek Harness. This plugin is listed in the DSH Universe directory and covered by its validation pipeline.

CLASSIFICATION EVIDENCE

/10类依据

项目类型技能

功能/10类DSH Plugins

规则置信度High

System reads GitHub Topics first, then compares against the in-site category dictionary and word-root rules. Current match:agent-skills、skills-library。