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Stata data provenance

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

Track dataset lineage, transformation steps, merge logic, and reproducibility risks in Stata workflows. Use when the user needs to explain where data came from, how it changed, or why a pipeline can be trusted.From its SKILL.md

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

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

0.6 KB, 72 tokens by cl100k_base, as published. Nobody here has run it

Data Provenance

Use this skill when lineage and reproducibility matter.

  1. Map the sequence of source files and transformations.
  2. Flag untracked merges, overwrites, and silent sample restrictions.
  3. Produce a concise provenance narrative a coauthor can audit.

Read references/lineage.md for the provenance checklist.

What ships with it: 3 files

1.2 KB alongside SKILL.md

agents/

references/

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