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coverage-reporter

Generate and analyze test coverage reports for Python and TypeScript codebases.

Updated Aug 27, 2026
Search Tags:#typescript#testing#quality assurance#code coverage#python#gap analysis
One-click install
npx skills add https://github.com/Euda1mon1a/Autonomous-Assignment-Program-Manager --skill coverage-reporter
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: coverage-reporter
Source: https://github.com/Euda1mon1a/Autonomous-Assignment-Program-Manager/tree/main/.claude/archive/skills/coverage-reporter
Command: npx skills add https://github.com/Euda1mon1a/Autonomous-Assignment-Program-Manager --skill coverage-reporter

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes references (resource) components.

What problem does it solve?

This Skill helps identify and address gaps in your test coverage, ensuring that critical parts of your codebase are adequately tested and improving overall software quality.

Core Features & Use Cases

  • Coverage Collection: Gathers test coverage data for both Python and TypeScript projects.
  • Gap Analysis: Pinpoints untested lines, functions, and branches, prioritizing them by risk.
  • Reporting: Generates clear, concise coverage reports with trends and recommendations.
  • Use Case: After a new feature is developed, use this Skill to automatically check if all new code paths are covered by tests and report any deficiencies.

Quick Start

Run the coverage reporter skill to analyze the test coverage for the backend Python application.

Frequently Asked Questions about coverage-reporter

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

FAQPage Schema
How do I identify untested code in my Python and TypeScript projects?▼

To identify untested code, you can collect test coverage data for Python and TypeScript projects. The tool pinpoints untested lines, functions, and branches, prioritizing them by risk to help you address coverage gaps.

Can I track code coverage trends and validate against quality thresholds?▼

Yes, you can track code coverage trends and validate them against quality thresholds. It generates clear, concise coverage reports with trend tracking and recommendations to ensure critical code paths are adequately tested.

Do I need pytest and npm to collect test coverage data?▼

Yes, you need pytest for Python and npm for TypeScript to collect coverage data. These dependencies are required to gather test coverage information and analyze gaps in your codebase effectively.

What is the best way to perform gap analysis on test coverage?▼

The best way to perform gap analysis on test coverage is to gather data for both Python and TypeScript projects, pinpoint untested lines and branches, and prioritize them by risk to improve overall software quality.

When should I run code coverage analysis in my development workflow?▼

You should run code coverage analysis after a new feature is developed. This automatically checks if all new code paths are covered by tests and reports any deficiencies to ensure critical parts are adequately tested.

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