Does it provide a historical view of test coverage?

Yes, it tracks coverage trends over time and by sprint, allowing you to see if your testing quality is improving or declining as the codebase grows.

Can it tell me exactly which lines of code are not tested?

Yes, it identifies specific line ranges and logic branches that are not executed by your test suite, helping you target your testing efforts precisely.

Which coverage report formats does this skill support?

The skill supports multiple standard formats including lcov, Cobertura, Istanbul (nyc), Jest, coverage.py, Jacoco, and Go test output.

How does the skill prioritize which tests I should write first?

It uses a priority calculation based on code complexity, recent change frequency, and whether the code resides in a business-critical path like auth or payments.

Test Coverage Analyst

Name: Test Coverage Analyst
Author: jmagly

byjmagly

•

Security & Testing

Analyzes codebase test coverage, identifies critical gaps, and provides prioritized recommendations for improving software quality.

About

The Test Coverage Analyst skill automates the evaluation of test suite effectiveness by parsing various coverage report formats such as lcov, Cobertura, and Istanbul. It goes beyond simple percentages by mapping coverage to business requirements, identifying high-risk untested paths, and tracking coverage trends over time. This skill is essential for developers who need to maintain high quality standards, as it provides actionable insights into exactly where tests are missing and how to improve them with the least amount of effort for the highest impact.

Key Features

Detailed analysis of line, branch, and function-level coverage metrics
Automated test recommendations with estimated effort and coverage gain
Multi-format report parsing including lcov, Cobertura, and Istanbul
Requirement traceability mapping to ensure feature-complete testing
67 GitHub stars
Priority-based gap identification for high-risk and high-change files

Use Cases

Automating coverage audits during code reviews or before releases
Identifying specific logic branches missed by existing unit and integration tests
Creating a strategic roadmap to reduce testing debt in legacy codebases

About

Key Features

Detailed analysis of line, branch, and function-level coverage metrics
Automated test recommendations with estimated effort and coverage gain
Multi-format report parsing including lcov, Cobertura, and Istanbul
Requirement traceability mapping to ensure feature-complete testing
67 GitHub stars
Priority-based gap identification for high-risk and high-change files

Use Cases

Automating coverage audits during code reviews or before releases
Identifying specific logic branches missed by existing unit and integration tests
Creating a strategic roadmap to reduce testing debt in legacy codebases