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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.

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stata-data-audit

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Use stata-data-audit to audit the active Stata dataset [dataset] for structure, missingness, labels, suspicious values, duplicate identifiers, and documentation readiness; report concrete risks, clean areas, and items needing manual confirmation.

Required inputs

  • [dataset]

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SKILL.md

name: stata-data-auditdescription: 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.