{"skill":{"slug":"data-quality-validator","displayName":"Data Quality Validator","summary":"Validate data quality in pipelines by checking completeness, consistency, freshness, accuracy, and distribution anomalies. Define expectations, profile data...","tags":{"latest":"1.0.0"},"stats":{"comments":0,"downloads":21,"installsAllTime":1,"installsCurrent":1,"stars":0,"versions":1},"createdAt":1777592923482,"updatedAt":1777594618359},"latestVersion":{"version":"1.0.0","createdAt":1777592923482,"changelog":"Initial release of Data Quality Validator.\n\n- Validates data quality in pipelines for completeness, consistency, freshness, accuracy, and distribution anomalies.\n- Profiles data sources, detects schema drift, and identifies outliers.\n- Generates comprehensive quality reports with actionable expectations.\n- Audits pipeline data by reading source code, schema files, and sample data.\n- Supports common data quality tasks: anomaly detection, completeness checks, freshness reviews, and distribution profiling.","license":"MIT-0"},"metadata":null,"owner":{"handle":"charlie-morrison","userId":"s17cttbdxry5kkyafjw983mq8s83p4y3","displayName":"charlie-morrison","image":"https://avatars.githubusercontent.com/u/271589886?v=4"},"moderation":{"isSuspicious":true,"isMalwareBlocked":false,"verdict":"suspicious","reasonCodes":["suspicious.llm_suspicious"],"summary":"Detected: suspicious.llm_suspicious","engineVersion":"v2.4.22","updatedAt":1777594618359}}