Data Audit

SkillDatabases & data

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.

Use Data Audit in Claude, ChatGPT or Ahel Desktop

Free. Sign in, add Data Audit and connect your AI. About a minute.

Claude ChatGPT Ahel Desktop

Also: Claude Code · Cursor · Codex

Then ask your AI: use the Data Audit skill

Details

Instructions available. Your AI can read the instructions. Execution depends on the setup they require.

Account requirements not reviewed. Check the skill instructions before use; ahel provides instructions and does not run this skill.

No other account needed.

Add ahel to your AI once: Claude, ChatGPT, Cursor, Claude Code or Codex. Then ask it to use this.

Data AuditStart free

What this skill tells your AI

The instructions your AI receives, as published by brycewang-stanford/auto-empirical-research-skills in skills/64-tmonk-mcp-stata/skills/stata-data-audit/SKILL.md and read by ahel’s review.

Run a compact but explicit audit of the active dataset.

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

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

Signals

GitHub stars: 4k
Forks: 531
Last commit: Sep 2026

Advanced

Item type: skill
Key: stata-data-audit
Source: github.com/brycewang-stanford/auto-empirical-research-skills

github.com/brycewang-stanford/auto-empirical-research-skills

Data Audit

Use Data Audit in Claude, ChatGPT or Ahel Desktop

What this skill tells your AI

Signals

Related picks