dataset-health-audit
CommunityAutomates 12-dimension data quality audits.
Authorhaomingz
Version1.0.0
Installs0
System Documentation
What problem does it solve?
Data quality issues in tabular datasets hinder reliable analysis and decision-making. This skill performs a comprehensive 12-dimension audit, producing an overall quality score, per-dimension details, remediation suggestions, and a structured JSON report to help users quickly identify and fix data problems before analysis.
Core Features & Use Cases
- 12-dimension data quality audit covering missing values, duplicates, type consistency, value ranges, format compliance, uniqueness, whitespace handling, constant columns, distribution skew, column naming, cardinality, and cross-column checks.
- Generates an overall quality score, a grade, and a detailed per-dimension report, plus top remediation suggestions.
- Compatible with CSV, Excel, TSV, and JSON inputs; supports sampling for large datasets and custom ID/date columns as needed.
Quick Start
Run the data quality checker on your dataset to generate a structured JSON report by executing python3 scripts/data_quality_checker.py data.csv.
Dependency Matrix
Required Modules
numpypandas
Components
Standard package💻 Claude Code Installation
Recommended: Let Claude install automatically. Simply copy and paste the text below to Claude Code.
Please help me install this Skill: Name: dataset-health-audit Download link: https://github.com/haomingz/kimi-skills/archive/main.zip#dataset-health-audit Please download this .zip file, extract it, and install it in the .claude/skills/ directory.
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