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anomaly-detection

Compare current test run metrics against historical baselines to flag anomalies.

1|Updated Mar 7, 2026
Search Tags:#testing#monitoring#CI/CD#metrics#regression#anomaly detection
One-click install
npx skills add https://github.com/jimmymalhan/codereview-pilot --skill anomaly-detection-jimmymalhan
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: anomaly-detection
Source: https://github.com/jimmymalhan/codereview-pilot/tree/main/.claude/skills/anomaly-detection
Command: npx skills add https://github.com/jimmymalhan/codereview-pilot --skill anomaly-detection-jimmymalhan

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes references (resource) components.

What problem does it solve?

This Skill automatically identifies when key metrics from a process deviate significantly from their established baselines, alerting users to potential issues.

Core Features & Use Cases

  • Metric Comparison: Compares current test counts, durations, and coverage percentages against historical benchmarks.
  • Threshold Alerts: Flags deviations exceeding predefined percentage thresholds for metrics like test count and coverage.
  • Failure Blocking: Prevents progression if new test failures are detected.
  • Use Case: Ensure your CI/CD pipeline's test suite performance remains consistent by automatically flagging unexpected increases in test duration or decreases in test count.

Quick Start

Use the anomaly-detection skill to check if the current test run metrics deviate from the baseline.

Frequently Asked Questions about anomaly-detection

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

FAQPage Schema
How do I detect metric anomalies in my CI/CD pipeline?▼

To detect metric anomalies in your CI/CD pipeline, compare current run statistics like test count, duration, and coverage against documented historical baselines using predefined deviation thresholds to trigger alerts.

What is metric anomaly detection for software testing?▼

Metric anomaly detection for software testing is the process of comparing current run statistics against historical baselines to automatically identify and flag significant deviations in test duration, coverage, and pass rates.

How do I block CI/CD progression when new test failures are detected?▼

You can block CI/CD progression when new test failures are detected by applying predefined deviation thresholds to current test run statistics, automatically flagging the failures to prevent pipeline progression.

Can I flag test duration regressions against historical benchmarks?▼

Yes, you can flag test duration regressions by comparing current test run durations against historical benchmarks and triggering alerts when the deviations exceed your predefined percentage thresholds.

Do I need predefined thresholds to flag metric deviations?▼

Yes, you need predefined deviation thresholds and documented historical baselines to successfully flag metric deviations and determine when to trigger alerts or block pipeline progression.

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