# Data quality audit (/data--data-quality-audit)

/data--data-quality-audit is a Claude Code skill in the Data section. Audits tables or pipeline output for nulls, duplicates, invalid values, orphaned keys and drift, with runnable SQL and a ranked findings report.

- Web version: https://skills.sgomez.dev/en/s/data--data-quality-audit
- Section: [Data](https://skills.sgomez.dev/en/data.md)
- Author: Santiago Gómez de la Torre
- License: MIT
- Source: https://github.com/sgomez-dev/claude-skills/blob/main/skills/data/data-quality-audit.md
- Updated 10 Jul 2026

## How to ask for it

- `/data--data-quality-audit audit the data quality of my customers table`
- `/data--data-quality-audit find null values and duplicates in this dataset`
- `/data--data-quality-audit check my pipeline for broken references`

## Install

macOS · Linux:

```
curl -fsSL https://raw.githubusercontent.com/sgomez-dev/claude-skills/main/install.sh | bash
```

Windows:

```
irm https://raw.githubusercontent.com/sgomez-dev/claude-skills/main/install.ps1 | iex
```

Claude Code plugin:

```
/plugin marketplace add sgomez-dev/claude-skills
/plugin install data-skills@claude-skills-collection
```

## Permissions

- Reads: `**/*.sql`, `**/models/**`, `**/migrations/**`, `**/*.yml`, `**/schema*`, `**/*.csv`, `**/*.py`
- Writes: `data_quality_audit_*.sql`, `data_quality_audit_*.md`
- Runs: —
- Network: No
- Destructive: No

## Author's description

Audit a dataset or pipeline for nulls, duplicates, drift, and broken references

- [How we review this](https://skills.sgomez.dev/en/methodology.md)