Quality Monitor

Data quality monitoring analyzes validation logs from your pipeline to identify errors, assess pass rates, and flag issues by data type and severity. This Skill connects to MySQL via credentials, groups findings, and generates reports showing which validations failed and why.

Yes. This Skill generates daily and weekly quality reports from your validation log entries, grouping results by data type, severity, and issue type, then writes formatted reports to a reports directory for trend analysis and actionable insights.

You need MySQL database access with credentials stored in a .env.local file, validation logs in your data_quality_log table, and the dependencies mysql-connector-python, rich, and python-dotenv installed in your environment.

By analyzing patterns across validation log entries grouped by data type, severity, and issue type, the Skill identifies recurring failures and computes pass rates to surface which validations consistently fail and need investigation.

Yes. The Skill performs real-time quality assessments on recent validation logs, letting you quickly check the current data quality status and spot active validation errors without running a full report.