What is the AnomalyArmor Data Quality skill?

It is a specialized capability for Claude Code that enables users to define, manage, and monitor data quality metrics and validation rules via the AnomalyArmor platform.

What metrics can I track with this skill?

You can track various quantitative measurements including row_count, null_rate, distinct_count, and data freshness.

Does this skill support custom validation logic?

Yes, beyond standard checks like UNIQUE and NOT_NULL, you can implement custom SQL expressions and REGEX patterns for specialized validation.

Can I check data status in real-time?

Yes, the skill includes commands to trigger immediate data captures and validity checks to see the current status of your assets.

What are the prerequisites for using this skill?

You need an AnomalyArmor API key configured in your environment and the AnomalyArmor Python SDK installed.

AnomalyArmor Data Quality

Name: AnomalyArmor Data Quality
Author: anomalyarmor

byanomalyarmor

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分析与监控

Implements automated data quality checks, metrics, and validity rules to maintain data integrity and observability.

The AnomalyArmor Data Quality skill empowers Claude to proactively manage and monitor data health by setting up automated metrics and validation rules. It allows developers and data engineers to define row counts, null rates, and uniqueness checks, as well as enforce complex validity rules using REGEX or custom SQL. By integrating directly with the AnomalyArmor API, this skill provides real-time visibility into data asset status, helping users detect anomalies early and ensure the reliability of their data pipelines.

主要功能

01Quantitative metric tracking for row counts, null rates, and distinct counts

02Pre-defined validity rules including NOT_NULL, UNIQUE, and ACCEPTED_VALUES

03Automated data freshness monitoring to detect pipeline delays

04Real-time data quality status reporting and metrics summaries

05Support for custom SQL expressions and REGEX validation patterns

061 GitHub stars

使用场景

01Enforcing uniqueness and null constraints on critical database columns

02Monitoring data volume trends and freshness for warehouse tables

03Generating immediate data health audits during development or debugging

What are Skills?·How to Install

Install with 🐟 Skill.Fish

npx skillfish add anomalyarmor/agents quality

For use in Claude.ai and ChatGPT

Download Skill