Agent Skills: 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.

UncategorizedID: tmonk/mcp-stata/stata-data-audit

Repository

tmonkLicense: AGPL-3.0
7516

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pnpm dlx add-skill https://github.com/tmonk/mcp-stata/tree/HEAD/plugin/skills/stata-data-audit

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plugin/skills/stata-data-audit/SKILL.md

Skill Metadata

Name
stata-data-audit
Description
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.

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.