pytest-coverage

Generate pytest coverage reports with annotated source files.

Updated Apr 19, 2026

Search Tags:#code quality #test automation #pytest #test coverage #Python

Ready to run

npx skills add https://github.com/vathymut/copilot-skills --skill pytest-coverage-vathymut

💬 Prompt for ChatGPT / Claude Chat▼

Please help me install this Agent Skill.
Skill: pytest-coverage
Source: https://github.com/vathymut/copilot-skills/tree/main/.github/skills/pytest-coverage
Command: npx skills add https://github.com/vathymut/copilot-skills --skill pytest-coverage-vathymut

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill requires pytest, pytest-cov, and includes scripts (resource) components.

What problem does it solve?

This Skill streamlines the process of testing Python code using pytest with coverage analysis, pinpointing lines that need attention to achieve full coverage.

Core Features & Use Cases

Coverage Report Generation: Automates the generation of coverage reports to identify untested lines of code.
Interactive Review: Facilitates an easy review process by highlighting code lines that are not covered by tests.
Incremental Improvement: Encourages developers to add tests progressively, enhancing the quality and completeness of their tests.
Use Case: Suppose you have a Python application with a mix of tested and untested modules. Using this skill will help you quickly identify the modules with gaps in test coverage.

Quick Start

Execute the pytest-coverage skill to analyze coverage and uncover untested code in your Python application.

Frequently Asked Questions about pytest-coverage

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

FAQPage Schema

How do I generate a pytest coverage report to find untested Python code?▼

To generate a pytest coverage report, you execute the skill to coordinate test execution and coverage reporting with pytest-cov. It pinpoints lines that need attention and provides annotated source files for easy review of untested code.

What is the best way to identify untested lines in my Python application?▼

The best way to identify untested lines is to run automated test coverage analysis using pytest. The skill highlights code lines not covered by tests, allowing you to quickly identify modules with gaps and incrementally improve test completeness.

Do I need pytest-cov installed to analyze Python test coverage?▼

Yes, you need both pytest and pytest-cov installed to analyze Python test coverage. The skill coordinates test execution and coverage reporting using these dependencies to generate reports and provide annotated source files.

Can I review annotated source files directly after running pytest coverage?▼

Yes, you can review annotated source files directly after running pytest coverage. The skill facilitates an interactive review process by highlighting specific code lines that are not covered by your existing tests.

How does test coverage reporting work with pytest for Python applications?▼

Test coverage reporting works by coordinating pytest test execution with pytest-cov to trace executed code paths. It generates a coverage report and provides annotated source files, highlighting untested lines to enhance code test coverage.