armor-test

Test and preview monitoring configurations for data assets.

1|Updated Jan 31, 2026
One-click install
npx skills add https://github.com/anomalyarmor/agents --skill armor-test
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: armor-test
Source: https://github.com/anomalyarmor/agents/tree/main/skills/test
Command: npx skills add https://github.com/anomalyarmor/agents --skill armor-test

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill requires anomalyarmor, and includes scripts (resource) components.

What problem does it solve?

This Skill prevents alert fatigue and ensures effective monitoring by allowing users to test and preview proposed configurations before they are fully enabled.

Core Features & Use Cases

  • Dry-Run Freshness Thresholds: Predict how often alerts would fire for data freshness based on historical data.
  • Preview Alert Rules: See which historical events would have triggered specific alert rules.
  • Test Metric Thresholds: Evaluate the impact of proposed metric-based anomaly detection rules.
  • Use Case: Before setting a new freshness alert for a critical table, use this Skill to simulate the alert under a proposed 4-hour threshold, ensuring it doesn't trigger too frequently or too rarely.

Quick Start

Use the armor-test skill to dry-run a freshness threshold of 4 hours for the public.orders table.

Frequently Asked Questions about armor-test

High-intent search queries and answers about installing and using this skill.

FAQPage Schema
How can I test monitoring configurations before deploying them?

You can test monitoring configurations by running a dry run against historical data to preview alert frequency and evaluate the impact of proposed rule changes before enabling them.

What is a dry run for data freshness thresholds?

A dry run for data freshness thresholds simulates how often alerts would fire based on historical data, allowing you to validate proposed thresholds without triggering actual alerts.

How do I prevent alert fatigue from data quality monitoring?

Prevent alert fatigue by previewing alert rules and testing metric-based anomaly detection thresholds on historical events to ensure they do not trigger excessively before full deployment.

Can I preview which historical events would trigger specific alert rules?

Yes, you can preview alert rules by simulating the proposed configurations against historical data to see exactly which past events would have triggered an alert.

Does anomalyarmor work with metric-based anomaly detection rules?

Yes, anomalyarmor supports testing metric-based anomaly detection rules by allowing you to evaluate the impact of proposed thresholds on historical data prior to activation.