Auto-Empirical Research Skills

实证社科研究的 Agent 技能库 —— 全部 vendored、许可审计、安全扫描,并配备可执行的严谨性层: 数值恢复基准、方法陷阱评测、已发表论文复现 gold。
Vendored agent skills for empirical social science, with an executable rigor layer: numeric recovery benchmarks, behavioral evals, and published-replication golds.

🔎 Skill Search · 技能搜索

Full-text + facet search over every cataloged skill: method, stage, language, license, commercial use.

docs/search.html →

🧰 Tools Search · 工具搜索

Causal/econometrics libraries, autonomous research agents, MCP servers, causal discovery, datasets.

docs/tools-search.html →

🛡️ Rigor Coverage · 严谨性覆盖

16 method families, each closed by an eval scenario and a deterministic numeric benchmark.

docs/RIGOR_COVERAGE.md →

🪶 Benchmark Scoreboard · 公开基准榜

Reference vs naive baseline on every shared exam task — the rigor-layer gap, scored.

docs/BENCHMARK_SCOREBOARD.md →

⚖️ Grade Your Agent · 外部评分协议

Point any agent (or a human with Stata) at the benchmark tasks and get an apples-to-apples score.

docs/INTEROP.md →

📦 Repository · 仓库

README (中文默认 / English), install guide, plugin marketplace, releases.

github.com →

💬 Discussions · 社区

Q&A, show-and-tell, and skill submissions. New here? Start with the welcome thread.

discussions →