Data Quality Auditor
Plugin Verified ActiveAudit 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.
To provide developers and data scientists with robust, specialized tools to systematically audit datasets, identify quality issues, and generate actionable remediation plans.
Features
- Dataset profiling with Data Quality Score (DQS)
- Missing value analysis (MCAR/MAR/MNAR)
- Multi-method outlier detection
- Command-line interface for targeted or full audits
- JSON output for integration with other systems
Use Cases
- Auditing new datasets before use in production systems
- Diagnosing data quality issues in existing pipelines
- Setting up automated data quality monitoring
- Assessing data readiness for machine learning models
Non-Goals
- Designing database schemas
- Building ETL pipelines
- Performing financial data analysis
- Validating financial model outputs
Installation
First, add the marketplace
/plugin marketplace add alirezarezvani/claude-skills/plugin install data-quality-auditor@claude-code-skillsQuality Score
VerifiedTrust Signals
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