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data-quality-auditor

v2.9.0

Audit datasets for completeness, consistency, accuracy, and validity. 3 stdlib-only Python tools: data profiler with DQS scoring, missing value analyzer with MCAR/MAR/MNAR classification, and multi-method outlier detector.

Claude Code1 Skill

By Alireza RezvaniLicense: MIT26k GitHub starsUpdated 3 weeks ago

Directory evidence

Runtimes
Claude Code
Parsed components
1 skill or MCP entry
Source updated
Aug 30, 2026
Manifest status
Canonical path parsed

The directory validates manifest shape and source location. It does not execute the plugin or provide a security endorsement. Review the indexing methodology →

Install data-quality-auditor for Claude Code

Installs for the current user
claude plugin marketplace add IchenDEV/agent-plugin-mkt
claude plugin marketplace update agent-plugin-marketplace
claude plugin install data-quality-auditor@agent-plugin-marketplace

Paste and run these commands in a terminal with Claude Code. They add and refresh the PluginsMP catalog, then install this plugin.

The installer fetches third-party code from the source repository shown on this page. This directory validates manifest structure and source location, but does not perform a security audit; review the manifest, components, and source before installing.

Get the source manually
git clone https://github.com/alirezarezvani/claude-skills

Clone the source repository, then follow its setup instructions to add the plugin to a compatible client. The plugin root is engineering/data-quality-auditor/.

Plugin files

engineering/data-quality-auditor/
├── .claude-plugin/plugin.json
└── skills/data-quality-auditor/SKILL.md

Included Skills1

data-quality-auditorskills/data-quality-auditor/SKILL.md

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.

Plugin manifests1

engineering/data-quality-auditor/.claude-plugin/plugin.json
{
  "name": "data-quality-auditor",
  "description": "Audit datasets for completeness, consistency, accuracy, and validity. 3 stdlib-only Python tools: data profiler with DQS scoring, missing value analyzer with MCAR/MAR/MNAR classification, and multi-method outlier detector.",
  "version": "2.9.0",
  "author": {
    "name": "Alireza Rezvani",
    "url": "https://alirezarezvani.com"
  },
  "homepage": "https://github.com/alirezarezvani/claude-skills/tree/main/engineering/data-quality-auditor",
  "repository": "https://github.com/alirezarezvani/claude-skills",
  "license": "MIT",
  "skills": [
    "./skills"
  ]
}

For maintainers

If you maintain this plugin, link to this source-backed listing from your README so users can review its manifest and indexed components.

[data-quality-auditor on Agent Plugins Marketplace](https://pluginsmp.com/plugins/data-quality-auditor)