# Stata Data Audit

> Stata Data Audit is an Agent Skill for documents published in the brycewang-stanford/Auto-Empirical-Research-Skills repository on GitHub: a SKILL.md instruction file an AI agent can load to do this task.

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.

- Skill name: `stata-data-audit`
- Category: [Documents](https://www.openparable.com/skill/documents/1)
- Source: https://github.com/brycewang-stanford/Auto-Empirical-Research-Skills/blob/HEAD/skills/64-tmonk-mcp-stata/skills/stata-data-audit/SKILL.md
- Repository: brycewang-stanford/Auto-Empirical-Research-Skills (2,866 GitHub stars when collected)

## SKILL.md

# 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.

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Source: https://www.openparable.com/skill/documents/stata-data-audit (OpenParable). Cite the canonical URL above.