Public skill
data-quality-auditor
Audit datasets for completeness, consistency, accuracy, and validity. Profile data distributions, detect anomalies and outliers, surface structural issues, and produce an actionable remediation plan. Use when the user asks to check data quality, profile a dataset, hunt outliers or missing values, or validate data before analysis or model training.
Package contents
Manifest
Audit datasets for completeness, consistency, accuracy, and validity. Profile data distributions, detect anomalies and outliers, surface structural issues, and produce an actionable remediation plan. Use when the user asks to check data quality, profile a dataset, hunt outliers or missing values, or validate data before analysis or model training.
Manifest SHA-256
81cfc069d6b7571e2b301879ea52be83d953bd11db1473c0eb2a7f10e0f7e604- SKILL.md9,130 bytes
- references/data-quality-concepts.md5,607 bytes
- scripts/data_profiler.py9,418 bytes
- scripts/missing_value_analyzer.py8,989 bytes
- scripts/outlier_detector.py9,419 bytes
Release history