data-quality-auditor

Audits datasets for missing values, anomalies, and structural problems and returns a quality assessment with prioritized fixes.

When to use it

Use to check dataset quality, investigate missing values or outliers, or validate data before analysis or model training.

Give it a dataset and an audit request; it returns a quality report, targeted findings, or a prioritized remediation plan.