test-coverage-analyzer

Analyze code coverage reports to identify and prioritize testing gaps.

29|7|Updated Oct 13, 2025
One-click install
npx skills add https://github.com/armanzeroeight/fastagent-plugins --skill test-coverage-analyzer-armanzeroeight
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: test-coverage-analyzer
Source: https://github.com/armanzeroeight/fastagent-plugins/tree/main/plugins/testing-toolkit/skills/test-coverage-analyzer
Command: npx skills add https://github.com/armanzeroeight/fastagent-plugins --skill test-coverage-analyzer-armanzeroeight

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes references (resource) components.

What problem does it solve?

This Skill helps developers identify and address weaknesses in their test suites by analyzing code coverage reports, ensuring critical parts of the codebase are adequately tested.

Core Features & Use Cases

  • Coverage Analysis: Interprets reports from various testing frameworks (Jest, Vitest, pytest, Go).
  • Gap Identification: Pinpoints uncovered lines, branches, and functions.
  • Prioritization: Recommends which areas to test next based on business logic, security, and error handling.
  • Use Case: After running your test suite, you get a coverage report showing only 60% line coverage. Use this Skill to understand which specific files and functions are missing tests and why they are important to cover.

Quick Start

Analyze your test coverage report to find and prioritize testing gaps.

Frequently Asked Questions about test-coverage-analyzer

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

FAQPage Schema
How do I identify testing gaps from a code coverage report?

To identify testing gaps from a code coverage report, analyze uncovered lines, branches, and functions to pinpoint missing tests. This process interprets metrics from testing frameworks to highlight specific code areas lacking validation.

Does this code coverage analyzer support Python and Go projects?

Yes, this code coverage analyzer supports Python and Go projects, alongside JavaScript. It interprets coverage metrics generated by various testing frameworks like pytest and Go testing to locate untested code.

What is the best way to prioritize writing tests for uncovered code?

The best way to prioritize writing tests for uncovered code is evaluating business logic, security, and error handling. Prioritization targets critical code paths first to maximize software quality and reduce bugs effectively.

How do I interpret branch and function coverage metrics to improve test strategy?

Interpreting branch and function coverage metrics reveals untested execution paths and isolated code blocks. Analyzing these gaps refines your test strategy by directing targeted test writing to specific files lacking validation.

Can I use this to analyze Jest and Vitest coverage reports?

Yes, you can analyze Jest and Vitest coverage reports. The tool interprets metrics from these JavaScript testing frameworks to identify uncovered lines and functions, facilitating targeted test writing.

Why does line coverage drop when refactoring code?

Line coverage drops when refactoring code because new branches and functions may lack corresponding tests. Analyzing coverage reports identifies these specific testing gaps introduced during refactoring to maintain software quality.