What languages does Test Gap Analyzer support?

It currently supports scanning and analysis for Python, JavaScript, TypeScript, and Go codebases.

Does it integrate with existing coverage tools?

Yes, it can parse .coverage files for Python and coverage.json reports to provide precise gap analysis based on real execution data.

What is the 'Testing Pyramid' mentioned in the skill?

It follows the Amplihack standard: 60% unit tests, 30% integration tests, and 10% end-to-end (E2E) tests to ensure a fast, stable, and maintainable test suite.

How does it prioritize which tests to write first?

It ranks gaps based on risk level, function complexity, and criticality to system reliability, allowing you to focus on the most important functions first.

Can it generate actual test code?

Absolutely. It provides ready-to-use templates for happy paths, error scenarios, and boundary conditions that you can adapt and paste directly into your project.

Test Gap Analyzer

Name: Test Gap Analyzer
Author: rysweet

byrysweet

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보안 및 테스팅

Identifies untested code paths and generates comprehensive test templates to achieve high-quality coverage following the testing pyramid.

소개

The Test Gap Analyzer is a specialized skill for Claude Code that systematically identifies coverage holes, untested edge cases, and high-risk functions within your codebase. By analyzing source files and existing coverage reports, it provides prioritized, actionable test suggestions and ready-to-use templates for unit, integration, and E2E tests. This skill ensures your testing strategy remains balanced and effective, helping teams transition from low-confidence legacy code to robust, 85%+ coverage environments with minimal manual effort.

주요 기능

Deep analysis of edge cases including null checks and boundary conditions
17 GitHub stars
Automated coverage gap identification across Python, JS, TS, and Go
Ready-to-use test templates for unit, integration, and E2E layers
Strategic testing pyramid alignment (60% unit, 30% integration, 10% E2E)
Risk-based prioritization of untested functions and critical code paths

사용 사례

Systematically improving legacy codebase reliability by targeting low-coverage modules
Automating the generation of complex edge-case test scenarios during active development
Ensuring new features have adequate test coverage during pre-merge code reviews

소개

주요 기능

Deep analysis of edge cases including null checks and boundary conditions
17 GitHub stars
Automated coverage gap identification across Python, JS, TS, and Go
Ready-to-use test templates for unit, integration, and E2E layers
Strategic testing pyramid alignment (60% unit, 30% integration, 10% E2E)
Risk-based prioritization of untested functions and critical code paths

사용 사례

Systematically improving legacy codebase reliability by targeting low-coverage modules
Automating the generation of complex edge-case test scenarios during active development
Ensuring new features have adequate test coverage during pre-merge code reviews