Stata Audit
SepineTam/mcp-for-stata
Inspect, validate, summarize, and render local Stata-MCP audit evidence under .statamcp.
Show mcp-stata identity, connected tools, and status. An agent skill from brycewang-stanford/Auto-Empirical-Research-Skills.
$ npx skills add brycewang-stanford/Auto-Empirical-Research-Skills --skill stata -a claude-codeProject install by default; add -g for ~/.claude/skills/.
$ gh skill install brycewang-stanford/Auto-Empirical-Research-Skills stata --agent claude-codeProject scope by default; add --scope user for a personal install. Needs GitHub CLI 2.90.0 or later (public preview).
$ git clone --depth 1 https://github.com/brycewang-stanford/Auto-Empirical-Research-Skills.git skills-src && mkdir -p .claude/skills && cp -r skills-src/skills/64-tmonk-mcp-stata/skills/stata .claude/skills/stata && rm -rf skills-srcUse ~/.claude/skills/ instead of .claude/skills for a personal install. The folder must contain SKILL.md.
Claude Code skills documentation · loads skills from .claude/skills/
Install the "stata" agent skill from https://github.com/brycewang-stanford/Auto-Empirical-Research-Skills/tree/main/skills/64-tmonk-mcp-stata/skills/stata into .claude/skills/stata/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "stata", then confirm the skill loads.Claude Code copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$skill-installer install https://github.com/brycewang-stanford/Auto-Empirical-Research-Skills/tree/main/skills/64-tmonk-mcp-stata/skills/stataType this inside Codex. $skill-installer <name> installs a curated skill from openai/skills. The installer writes to $CODEX_HOME/skills (default ~/.codex/skills). Restart Codex if the skill does not show up.
$ npx skills add brycewang-stanford/Auto-Empirical-Research-Skills --skill stata -a codexProject install goes to .agents/skills/; add -g for ~/.codex/skills/.
$ gh skill install brycewang-stanford/Auto-Empirical-Research-Skills stata --agent codexProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/brycewang-stanford/Auto-Empirical-Research-Skills.git skills-src && mkdir -p .agents/skills && cp -r skills-src/skills/64-tmonk-mcp-stata/skills/stata .agents/skills/stata && rm -rf skills-srcUse ~/.agents/skills/ instead of .agents/skills for a personal install.
Codex skills documentation · loads skills from .agents/skills/
Install the "stata" agent skill from https://github.com/brycewang-stanford/Auto-Empirical-Research-Skills/tree/main/skills/64-tmonk-mcp-stata/skills/stata into .agents/skills/stata/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "stata", then confirm the skill loads.Codex copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ npx skills add brycewang-stanford/Auto-Empirical-Research-Skills --skill stata -a cursorProject install goes to .agents/skills/; add -g for ~/.cursor/skills/.
$ gh skill install brycewang-stanford/Auto-Empirical-Research-Skills stata --agent cursorProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/brycewang-stanford/Auto-Empirical-Research-Skills.git skills-src && mkdir -p .cursor/skills && cp -r skills-src/skills/64-tmonk-mcp-stata/skills/stata .cursor/skills/stata && rm -rf skills-srcUse ~/.cursor/skills/ instead of .cursor/skills for a personal install.
Cursor skills documentation · loads skills from .cursor/skills/, .agents/skills/, .claude/skills/, .codex/skills/
Install the "stata" agent skill from https://github.com/brycewang-stanford/Auto-Empirical-Research-Skills/tree/main/skills/64-tmonk-mcp-stata/skills/stata into .cursor/skills/stata/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "stata", then confirm the skill loads.Cursor copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ gemini skills install https://github.com/brycewang-stanford/Auto-Empirical-Research-Skills.git --path skills/64-tmonk-mcp-stata/skills/stata--scope user (default) or --scope workspace; --path is the subfolder of the repo that holds the skill; --consent skips the security confirmation prompt.
$ npx skills add brycewang-stanford/Auto-Empirical-Research-Skills --skill stata -a gemini-cliProject install goes to .agents/skills/; add -g for ~/.gemini/skills/.
$ gh skill install brycewang-stanford/Auto-Empirical-Research-Skills stata --agent gemini-cliProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/brycewang-stanford/Auto-Empirical-Research-Skills.git skills-src && mkdir -p .gemini/skills && cp -r skills-src/skills/64-tmonk-mcp-stata/skills/stata .gemini/skills/stata && rm -rf skills-srcUse ~/.gemini/skills/ instead of .gemini/skills for a personal install, then run /skills reload.
Gemini CLI skills documentation · loads skills from .gemini/skills/, .agents/skills/
Install the "stata" agent skill from https://github.com/brycewang-stanford/Auto-Empirical-Research-Skills/tree/main/skills/64-tmonk-mcp-stata/skills/stata into .gemini/skills/stata/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "stata", then confirm the skill loads.Gemini CLI copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ gh skill install brycewang-stanford/Auto-Empirical-Research-Skills stataInstalls for Copilot at project scope by default; add --scope user for a personal install. Preview a skill first with gh skill preview. Needs GitHub CLI 2.90.0 or later (public preview).
$ npx skills add brycewang-stanford/Auto-Empirical-Research-Skills --skill stata -a github-copilotProject install goes to .agents/skills/; add -g for ~/.copilot/skills/.
$ git clone --depth 1 https://github.com/brycewang-stanford/Auto-Empirical-Research-Skills.git skills-src && mkdir -p .github/skills && cp -r skills-src/skills/64-tmonk-mcp-stata/skills/stata .github/skills/stata && rm -rf skills-srcUse ~/.copilot/skills/ instead of .github/skills for a personal install. Commit .github/skills so cloud agent and code review can use it.
GitHub Copilot skills documentation · loads skills from .github/skills/, .claude/skills/, .agents/skills/
Install the "stata" agent skill from https://github.com/brycewang-stanford/Auto-Empirical-Research-Skills/tree/main/skills/64-tmonk-mcp-stata/skills/stata into .github/skills/stata/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "stata", then confirm the skill loads.GitHub Copilot copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ npx skills add brycewang-stanford/Auto-Empirical-Research-Skills --skill stata -a opencodeOpenCode documents no install command of its own. Project install goes to .agents/skills/; add -g for ~/.config/opencode/skills/.
$ gh skill install brycewang-stanford/Auto-Empirical-Research-Skills stata --agent opencodeProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/brycewang-stanford/Auto-Empirical-Research-Skills.git skills-src && mkdir -p .opencode/skills && cp -r skills-src/skills/64-tmonk-mcp-stata/skills/stata .opencode/skills/stata && rm -rf skills-srcUse ~/.config/opencode/skills/ instead of .opencode/skills for a personal install.
OpenCode skills documentation · loads skills from .opencode/skills/, .claude/skills/, .agents/skills/
Install the "stata" agent skill from https://github.com/brycewang-stanford/Auto-Empirical-Research-Skills/tree/main/skills/64-tmonk-mcp-stata/skills/stata into .opencode/skills/stata/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "stata", then confirm the skill loads.OpenCode copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
stataShow mcp-stata identity, connected tools, and status. An agent skill from brycewang-stanford/Auto-Empirical-Research-Skills.
Stata is an agent skill from brycewang-stanford/Auto-Empirical-Research-Skills. Show mcp-stata identity, connected tools, and status. Use when the user asks if mcp-stata is available, asks about access to the toolkit, or asks what Stata tools are connected.
Its SKILL.md is about 520 tokens, which your agent loads only when the skill is triggered. The skill folder holds 3 other files (for example `agents/openai.yaml` and `manifest.json`).
It sits in Research & Science, covering Econometrics and empirical research. It works with Model Context Protocol. The repository describes itself as: 🔬 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…
Read from SKILL.md and the folder at commit 9fa87d8. It shows what the files ask for, not the result of running them.
Pre-approves nothing: there is no allowed-tools line, so your agent's usual permission prompts apply.
From allowed-tools in the SKILL.md frontmatter.
No scripts in the folder and no shell commands in SKILL.md.
From the folder's file list and the shell code blocks in SKILL.md.
No URLs in SKILL.md.
From URLs in SKILL.md, links to its own repository left out.
Names no API keys, tokens, secrets or passwords.
From names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.
Stata loads about 519 tokens when it runs. Until then it costs about 46 tokens; SKILL.md has 29 words of instructions outside code blocks.
Estimates: characters ÷ 4, the usual rule of thumb; real counts depend on the model's tokenizer. Scripts and assets cost tokens only if the agent reads them.
The automated check found no risky patterns in SKILL.md.
Automated static check — not a guarantee. Review scripts before installing. It scans the text of SKILL.md for risky patterns (piping downloads into a shell, reading credential files, hidden Unicode, destructive commands); files beside SKILL.md are not scanned.
Its licence (Custom licence) doesn't allow us to republish the file, so here is its outline and opening line. It has 29 words (~519 tokens).
SKILL.md and 2 other files in skills/64-tmonk-mcp-stata/skills/stata of brycewang-stanford/Auto-Empirical-Research-Skills.
Open the folder on GitHubat commit 9fa87d8
Stata next to the 5 skills that share the most tags, products or categories with it. Stars are the repository's; “used in” counts other GitHub owners with a copy.
| Skill | Stars | Used in | Tokens | Auto-check | Licence | Repo updated |
|---|---|---|---|---|---|---|
| Stata this skillbrycewang-stanford/Auto-Empirical-Research-Skills | 4.5k | — | ~519 | Automated safety check: Pass | Custom licence | |
| Stata AuditSepineTam/mcp-for-stata | 264 | — | ~1.2k | Automated safety check: Pass | AGPL-3.0 | |
| Diagnostic DofileSepineTam/mcp-for-stata | 264 | — | ~1.2k | Automated safety check: Pass | AGPL-3.0 | |
| Stata DiscoverSepineTam/mcp-for-stata | 264 | — | ~1.7k | Automated safety check: Pass | AGPL-3.0 | |
| Rfc Impl GeneratorSepineTam/mcp-for-stata | 264 | — | ~1.1k | Automated safety check: Pass | AGPL-3.0 | |
| Stata SkillSepineTam/mcp-for-stata | 264 | — | ~2.7k | Automated safety check: Pass | AGPL-3.0 |
SepineTam/mcp-for-stata
Inspect, validate, summarize, and render local Stata-MCP audit evidence under .statamcp.
SepineTam/mcp-for-stata
A skill your agent uses when the user needs to inspect, audit, or diagnose the safety of a Stata do-file.
SepineTam/mcp-for-stata
A skill your agent uses when you need to find Stata on the user's machine or configure stata-mcp to use it.
SepineTam/mcp-for-stata
Generate RFC and IMPL documents from a user-provided feature/fix description.
SepineTam/mcp-for-stata
A packaged Stata Runner skill via official MCP-for-Stata server including statado, adopackageinstall, help, readlog and getdatainfo tools.
csmar432/finai-research
根据REFINEDDESIGN.md中的变量定义,自动获取所需数据并生成可执行的回归分析脚本(Python/Stata)。
brycewang-stanford/Auto-Empirical-Research-Skills
A skill your agent uses when auditing a finished or near-finished AER, AER:Insights, or AEJ manuscript for internal consistency: headline numbers across abstract, introduction, results, and tables…
brycewang-stanford/Auto-Empirical-Research-Skills
English LaTeX academic paper assistant for existing .tex projects.
brycewang-stanford/Auto-Empirical-Research-Skills
Opinionated Bayesian modeling workflow with PyMC and ArviZ. An agent skill from brycewang-stanford/Auto-Empirical-Research-Skills.
brycewang-stanford/Auto-Empirical-Research-Skills
A skill your agent uses when the user asks to "generate daily paper", "search arXiv for EEG papers", "find EEG decoding papers", "review brain-computer interface papers", or wants to create paper…
brycewang-stanford/Auto-Empirical-Research-Skills
Deeply analyze any empirical economics PDF using the five-question framework (五问框架): research question, identification strategy, core estimand, robustness logic, and scholarly contribution.
brycewang-stanford/Auto-Empirical-Research-Skills
A skill your agent uses when a research task needs reproducible Kaggle discovery, metadata inspection, bounded public-data downloads, competition or kernel discovery, model discovery, or an…
Works with
Categories
Show mcp-stata identity, connected tools, and status. An agent skill from brycewang-stanford/Auto-Empirical-Research-Skills. Stata is an agent skill from brycewang-stanford/Auto-Empirical-Research-Skills. Show mcp-stata identity, connected tools, and status.
Stata fits situations like: the user asks if mcp-stata is available; asks about access to the toolkit; asks what Stata tools are connected.
Run `npx skills add brycewang-stanford/Auto-Empirical-Research-Skills --skill stata -a claude-code`. Or copy the skill folder (skills/64-tmonk-mcp-stata/skills/stata in brycewang-stanford/Auto-Empirical-Research-Skills) into .claude/skills/stata in your project. Claude Code loads it when a task matches its description.
Run `npx skills add brycewang-stanford/Auto-Empirical-Research-Skills --skill stata -a codex`. Or copy the skill folder (skills/64-tmonk-mcp-stata/skills/stata in brycewang-stanford/Auto-Empirical-Research-Skills) into .agents/skills/stata in your project. Codex loads it when a task matches its description.
Cursor, Gemini CLI, GitHub Copilot and OpenCode also load SKILL.md folders. With the skills CLI, run `npx skills add brycewang-stanford/Auto-Empirical-Research-Skills --skill stata -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/stata, .gemini/skills/stata, .github/skills/stata and .opencode/skills/stata in your project.
SKILL.md names no scripts, command-line tools or credentials: Stata is instructions for the agent only.
SKILL.md contains no URLs. Any network use would come from the scripts or tools the agent runs. This is read from the text; nothing was executed.
Our automated static check of SKILL.md found no risky patterns, such as piping downloads into a shell, reading credential files or hidden Unicode. It is not a guarantee. Review the folder before installing.
Stata has a licence file (the repository's licence) that doesn't match a standard licence. Read it on GitHub before reusing the skill.
About 519 tokens (SKILL.md is roughly 2.1k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full.
Skills that share tags, products or a category with Stata: Stata Audit (SepineTam/mcp-for-stata, 264 stars), Diagnostic Dofile (SepineTam/mcp-for-stata, 264 stars), Stata Discover (SepineTam/mcp-for-stata, 264 stars) and Rfc Impl Generator (SepineTam/mcp-for-stata, 264 stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.
brycewang-stanford (a GitHub user) maintains it in brycewang-stanford/Auto-Empirical-Research-Skills, which has 4,542 GitHub stars. The repository holds 383 skills in this directory. The repository was last updated on October 5, 2026.
Source: brycewang-stanford/Auto-Empirical-Research-Skills on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.