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data-quality-auditorby Alireza RezvaniDevelopmentGitHub stars: 27.2k

Data Quality Auditor plugin: what it installs and how to add it

Audits datasets for completeness, consistency, accuracy and validity with profiling, missing-value analysis and outlier detection.

From the Marketplace: claude-code-skills marketplace

Install

> /plugin marketplace add alirezarezvani/claude-skills> /plugin install data-quality-auditor@claude-code-skills

Run both lines inside Claude Code: the first adds the marketplace, the second installs the plugin.

What is inside

  • 1skill

About this plugin

The plugin provides a data-quality audit workflow for examining datasets. It includes a data profiler with DQS scoring, a missing-value analyser that classifies patterns as MCAR, MAR or MNAR, and an outlier detector that compares multiple detection methods.

The tools are written in Python using only the standard library, so the skill can be used without additional package dependencies. Reach for it when you need to assess dataset quality before analysis, modelling or downstream processing.

What's inside

  • 1 skill: data-quality-auditor

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