dataset-quality-audit

name	dataset-quality-audit
description	Run comprehensive quality checks on tabular data (CSV/Excel/TSV/JSON), detecting missing values, duplicates, outliers, format issues, and type inconsistencies to produce an overall score, grade, and actionable suggestions. Triggered when users ask to check data quality, find missing or duplicate values, detect outliers, validate formats, profile data, or clean data.
license	MIT

dataset-quality-audit

A data quality auditing tool that runs 12-dimension quality checks on tabular data, producing per-dimension scores (0–100), an overall grade, and actionable fix suggestions.

Capabilities

Dimension	Description
Missing Values	Count and percentage of null/NaN values per column
Duplicate Rows	Number and percentage of fully duplicated rows
Type Consistency	Mixed types within a single column (e.g., numbers mixed with text)
Value Range / Outliers	Outlier detection using the IQR method
Format Compliance	Consistency of date, email, phone number, and other formatted fields
Uniqueness Constraints	Whether ID-type columns contain duplicates
Whitespace Issues	Leading/trailing spaces, empty strings, whitespace-only values
Constant Columns	Columns with only a single unique value (zero information)
Distribution Skewness	Whether numeric columns have excessive skewness