Data Quality Auditor
alirezarezvani/claude-skills/engineering/data-quality-auditor/skills/data-quality-auditorby alirezarezvani19392f7a0826No license27K starsListed Oct 8, 2026Updated Oct 8, 2026Repository updated 5 weeks ago
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.
Only the file list is public. File contents are available once the skill is installed in a workspace.
| Path | Size | Type |
|---|---|---|
| references/data-quality-concepts.md | 5.5 KB | text/markdown |
| scripts/data_profiler.py | 9.2 KB | text/plain |
| scripts/missing_value_analyzer.py | 8.8 KB | text/plain |
| scripts/outlier_detector.py | 9.2 KB | text/plain |
| SKILL.md | 8.9 KB | text/markdown |
Source and attribution
Source:alirezarezvani/claude-skillsinengineering/data-quality-auditor/skills/data-quality-auditorat commit19392f7
License: No license
Content belongs to its original authors. SourceWeft indexes it from a public repository.
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