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 Lambenthan · Claude Skill · ★ 77
Last updated: · Indexed by AgentSkillsHub · Auto-synced every 8h
🔒 Is empiricalwiki safe to install? View the security audit →
EmpiricalWiki Karpathy's LLM-Wiki, Specialized for Empirical Research 经管实证研究的 AI 知识库 — 从文献阅读到 Stata 执行，一条流水线串到底 From paper ingestion to Stata script — your empirical knowledge compounds, never decays. English | 中文 What's New 2026-06 — Claude Code in the browser, preset content, Stata templates, demo branch, agent-native onboarding Talk to Claude Code inside the local site. now ships a chat panel in the right sidebar (design follows Claudian): run any skill, answer Claude's questions by clicking, switch model / thinking / permission — all without touching a terminal. Pages written during a chat turn hot-sync into the site. Local-only (), powered by your own Claude Code login. The wiki is no longer empty out of the box. 14 preset schema cards now ship with the repo: 9 cards (CSMAR, Wind, CNRDS, 华证 ESG, DIB, iFinD, WinGo, CCER, patent source
| Stars | 77 |
| Forks | 16 |
| Language | Python |
| Category | Claude Skill |
| License | MIT |
| Quality Score | 64.149797462486/100 |
| Last Updated | 2026-06-13 |
| Created | 2026-05-09 |
| Platforms | claude-code, python |
| Est. Tokens | ~13k |
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empiricalwiki is 经管实证研究的 AI 知识库 — 从文献阅读到 Stata 执行，一条流水线串到底。基于 Karpathy 的 LLM-Wiki 理念，按实证研究 10 类实体（变量 / 数据集 / 模型 / 机制 / 假设 / 识别策略 / 稳健性 / 异质性 / 表格 / 论文）定制. It is categorized as a Claude Skill with 77 GitHub stars.
empiricalwiki is primarily written in Python. It covers topics such as accounting, chinese, claude-code.
You can find installation instructions and usage details in the empiricalwiki GitHub repository at github.com/Lambenthan/empiricalwiki. The project has 77 stars and 16 forks, indicating an active community.
empiricalwiki is released under the MIT license, making it free to use and modify according to the license terms.
The top alternatives to empiricalwiki on Agent Skills Hub include llm-wiki, mcp-for-stata, stata-cli. Each offers a different approach to the same problem space — compare them side-by-side by stars, quality score, and community activity.
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: