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Stata data audit

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

Audit datasets for structure, missingness, labeling, suspicious values, duplicate identifiers, and documentation readiness. Use when a researcher asks for data QA, codebook review, sanity checks, or pre-analysis cleanup guidance.From its SKILL.md

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

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

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SKILL.md

0.7 KB, 96 tokens by cl100k_base, as published. Nobody here has run it

Data Audit

Run a compact but explicit audit of the active dataset.

  1. Start with stata_inspect_data(action="describe") and stata_inspect_data(action="summary").
  2. Use targeted codebook, search, and stata_run checks for key variables or suspicious patterns.
  3. Report concrete issues, not generic reassurance.

Read references/checklist.md for the full audit checklist and recommended output format.

What ships with it: 3 files

1.6 KB alongside SKILL.md

agents/

references/

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