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Stata run

Skill brycewang-stanford/Auto-Empirical-Research-Skills/skills/64-tmonk-mcp-stata/skills/stata-run

Run arbitrary Stata code or a .do file and display the result.From its SKILL.md

Install
npx -y skills add brycewang-stanford/Auto-Empirical-Research-Skills --skill stata-run

Assembled from the repository path, not quoted from the project. Check it against their README if it does not work.

One thing to look at

  • no licenseNo license file was found in the repository. Code published without one is not open source by default, so using it at work is a question for whoever answers licensing questions where you are.

SKILL.md

1.2 KB, 305 tokens by cl100k_base, as published. Nobody here has run it

The argument is the Stata code or absolute path to a .do file to execute.

  1. If the argument ends in .do or .ado, call:

    stata_run(code=<argument>, is_file=True, echo=True, as_json=True)

    Otherwise call:

    stata_run(code=<argument>, echo=True, as_json=True)

  2. If success is true, display the stdout output. Note the output is truncated to 5,000 chars; if the response includes a log_path, offer to tail the full log with /stata-log <log_path>.

  3. If success is false, display the error message and rc code. Suggest using /stata-lint <path> for syntax issues or /stata-help <command> for documentation.

  4. If the command produces graphs, note that /stata-graph can export them.

If using background mode (background=True): you may do other work or fire parallel tasks, but you MUST call stata_task_status(task_id=<id>, wait=True, timeout=<N>, tail_lines=<M>) for every task before returning to the user. Set timeout to match expected runtime; set tail_lines to how much output you want inline vs. reading separately via stata_read_log. Loop on timeout until status is 'done' or 'failed'.

What ships with it: 2 files

826 B alongside SKILL.md

agents/

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