Create and manage data quality metrics and validity rules via the AnomalyArmor API.
npx skills add https://github.com/anomalyarmor/agents --skill armor-quality
Please help me install this Agent Skill. Skill: armor-quality Source: https://github.com/anomalyarmor/agents/tree/main/skills/quality Command: npx skills add https://github.com/anomalyarmor/agents --skill armor-quality
This Skill automates the process of defining, implementing, and monitoring data quality checks and metrics, ensuring the reliability and accuracy of your data assets.
Use the armor quality skill to add a null check to the email column for the customers table.
High-intent search queries and answers about installing and using this skill.
Data quality checks for null values and row counts are configured by defining metrics and validity rules like NOT_NULL against specific table columns. This approach uses declarative validation to enforce constraints and quantitative tracking to monitor data characteristics.
Data integrity validity rules are declarative constraints such as UNIQUE, REGEX, NOT_NULL, and custom SQL expressions applied to data assets. You need them to ensure the reliability and accuracy of your tables by preventing invalid records from passing unnoticed.
Custom SQL expressions can be used to enforce data validation constraints alongside standard rules like NOT_NULL, UNIQUE, and REGEX. This allows you to implement complex data integrity checks tailored to specific asset requirements programmatically.
Automating data quality monitoring is achieved by creating quantitative metrics like null rates and distinct counts, then applying validity rules to your data assets. This automated enforcement ensures ongoing reliability and tracks data characteristics over time.
A Python SDK is required for programmatic interaction with the API to manage data quality metrics and validity rules. This dependency allows you to define, implement, and monitor data characteristics and integrity constraints within your data assets.
tharunramagiriFetch and register the Google Chat adapter for the agent platform.
pluginagentmarketplaceImplement Prometheus metrics, Grafana dashboards, structured logging, and alerting for data pipelines.
Tnemo65Evaluate streaming data quality for completeness, accuracy, timeliness, and consistency gaps.
clawpod-appProfile datasets to assess shape, quality, and patterns.
