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data-quality-audit

Skill by nimrodfisher · updated · ★ 493

Score 83

Comprehensive data quality assessment against business rules, schema constraints, and freshness expectations. Activate when validating data pipeline outputs before production use, auditing a dataset against defined business rules, or producing a quality scorecard for a data asset. data-quality-audit is published by nimrodfisher on GitHub.

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Works withClaude CodeClaude apps Antigravity CLI
Maintenance

Last commit 28 days ago

Licence

MIT: permissive, fine for commercial use

Quality

Clear description, installs from GitHub, 493 stars, original repository

Security

Not checked yet. What we check

Install data-quality-audit

Built from the published package, never by AI
git clone --depth 1 https://github.com/nimrodfisher/data-analytics-skills /tmp/data-analytics-skills && mkdir -p ~/.claude/skills && cp -r /tmp/data-analytics-skills/01-data-quality-validation/data-quality-audit ~/.claude/skills/data-quality-audit

Run in your terminal. Claude Code loads skills from ~/.claude/skills automatically.

Step-by-step: install data-quality-audit in Claude Code

Skills can run scripts on your machine. Some need an API key: check the README.

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data-quality-audit: common questions

How do I install data-quality-audit?

Run the command above to copy the skill into ~/.claude/skills/. Claude Code picks it up automatically.

Is data-quality-audit free?

The code is published under the MIT licence. The service it connects to may have its own pricing.

Is data-quality-audit safe to use?

It scores 83 of 100. Grades: maintenance A, licence A, quality B. The security check has not run for it yet. Review the code before you install. How grades work.

What are alternatives to data-quality-audit?

Similar skills: convert-documents-to-markdown, segment-cdp, korean-jangbu-for, designing-vizro-layouts.

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