Does this skill require an AnomalyArmor account?

Yes, you need an AnomalyArmor API key configured in your environment or config file to perform these simulations and access historical data.

What is the primary benefit of the armor-test skill?

It allows you to simulate how monitoring rules would have behaved in the past, helping you set thresholds that catch real issues without causing alert fatigue.

How does the freshness dry-run work?

It analyzes your table's historical data to predict how often a specific threshold, such as a 4-hour staleness limit, would have fired over a set lookback period.

Can I test schema drift settings before enabling them?

Yes, the skill includes a specific dry-run feature for schema changes that displays what historical modifications would have triggered alerts.

AnomalyArmor Alert Preview

Name: AnomalyArmor Alert Preview
Author: anomalyarmor

byanomalyarmor

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分析与监控

Simulates and previews data monitoring configurations to prevent alert fatigue and ensure threshold accuracy before deployment.

The AnomalyArmor Alert Preview skill provides data engineers and developers with a powerful sandbox to test data observability rules before they go live. By leveraging historical data, the skill allows you to dry-run freshness thresholds, schema drift detection, and metric alerts to see exactly how often they would have fired in the past. This proactive approach helps fine-tune sensitivity levels, ensuring that monitoring is robust enough to catch real issues while remaining quiet enough to avoid overwhelming teams with false positives. It is an essential tool for maintaining high-quality data pipelines with production-grade reliability.

主要功能

01Dry-run freshness thresholds against historical data patterns

02Simulate alert rule matches to evaluate notification frequency

03Receive automated recommendations for threshold adjustments

04Analyze current data age and status before enabling monitors

05Preview schema drift detection impact over custom lookback periods

061 GitHub stars

使用场景

01Calibrating freshness alerts for production tables to minimize noise

02Assessing the frequency of schema changes in dynamic database environments

03Refining alert severity filters to reduce on-call fatigue

What are Skills?·How to Install

Install with 🐟 Skill.Fish

npx skillfish add anomalyarmor/agents test

For use in Claude.ai and ChatGPT

Download Skill