Does it work with existing coverage reports?

Yes, it can parse .coverage files and coverage.json reports to provide an accurate analysis based on your current testing data.

How does it prioritize test gaps?

Gaps are classified by risk level (complexity/criticality), effort required, and impact on system reliability to create a prioritized action plan.

What programming languages does the Test Gap Analyzer support?

It primarily scans Python, JavaScript, TypeScript, and Go codebases, offering specific integration with coverage.py for Python projects.

What is the 60-30-10 testing pyramid?

It is a testing distribution methodology used by the amplihack framework that suggests 60% unit tests, 30% integration tests, and 10% end-to-end tests for optimal stability.

Can this skill generate actual test code?

Yes, it provides ready-to-use test templates for various scenarios, including happy paths, error cases, and specific boundary conditions.

Test Gap Analyzer

Name: Test Gap Analyzer
Author: rysweet

byrysweet

•

セキュリティとテスト

Analyzes codebases to identify untested functions and coverage gaps while generating prioritized test suggestions and templates.

概要

The Test Gap Analyzer for Claude Code automates the identification of untested functions, low-coverage modules, and missing edge cases across your codebase. By providing a prioritized report based on risk and effort, it helps developers implement the amplihack 60-30-10 testing pyramid through ready-to-use templates for unit, integration, and E2E tests. Whether you are reviewing a pull request, refactoring legacy code, or launching a new module, this skill ensures your test suite is robust, efficient, and focused on high-impact areas.

主な機能

17 GitHub stars
Edge case identification for boundary conditions and error paths
Ready-to-use test templates for unit, integration, and E2E layers
Priority-based gap reporting based on risk level and function complexity
Automated codebase scanning for untested functions and branches
Integration with coverage tools like coverage.py for real-time analysis

ユースケース

Test planning for new modules to establish a balanced testing pyramid from day one
Post-development code reviews to ensure all new logic is covered before merging
Incremental test coverage improvement for legacy codebases

概要

主な機能

17 GitHub stars
Edge case identification for boundary conditions and error paths
Ready-to-use test templates for unit, integration, and E2E layers
Priority-based gap reporting based on risk level and function complexity
Automated codebase scanning for untested functions and branches
Integration with coverage tools like coverage.py for real-time analysis

ユースケース

Test planning for new modules to establish a balanced testing pyramid from day one
Post-development code reviews to ensure all new logic is covered before merging
Incremental test coverage improvement for legacy codebases