Data Quality Auditor
插件 已验证 活跃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.
To provide developers and data scientists with robust, specialized tools to systematically audit datasets, identify quality issues, and generate actionable remediation plans.
功能
- 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
使用场景
- 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
非目标
- Designing database schemas
- Building ETL pipelines
- Performing financial data analysis
- Validating financial model outputs
安装
请先添加 Marketplace
/plugin marketplace add alirezarezvani/claude-skills/plugin install data-quality-auditor@claude-code-skills质量评分
已验证类似扩展
HubSpot Admin Skills
99Complete HubSpot CRM administration toolkit — audit, clean, enrich, segment, automate, and maintain your database
Dotforge
100Node.js 20+ with Express/Fastify, TypeScript, and ESM module rules for Claude Code.
Review Agent Governance
99Require a human approval signal before an AI agent can post PR reviews, comments, merges, or writes to CI config. Cedar-gated, receipt-signed, designed for the Hermes-style failure mode where a review bot posts without oversight.
Xlsx Processing Openai
99Spreadsheet reading, creation, editing, and analysis with visual quality control