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calculate-coverage

Measure code coverage percentage and identify untested code paths with pytest.

18|5|Updated Nov 3, 2025
Search Tags:#code quality#testing#software development#gap analysis#test coverage
One-click install
npx skills add https://github.com/HomericIntelligence/ProjectOdyssey --skill calculate-coverage-homericintelligence
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: calculate-coverage
Source: https://github.com/HomericIntelligence/ProjectOdyssey/tree/main/.claude/skills/tier-2/calculate-coverage
Command: npx skills add https://github.com/HomericIntelligence/ProjectOdyssey --skill calculate-coverage-homericintelligence

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes references (resource) components.

What problem does it solve?

This Skill helps identify gaps in your test suite by measuring code coverage, ensuring that your software is thoroughly tested.

Core Features & Use Cases

  • Code Coverage Measurement: Calculates the percentage of code executed by your tests.
  • Gap Identification: Pinpoints specific lines and branches of code that are not covered by existing tests.
  • Use Case: Before releasing a new feature, use this Skill to verify that all new code paths have corresponding tests, meeting your team's quality standards.

Quick Start

Run the calculate-coverage skill to measure test coverage for the 'my_module' Python package.

Frequently Asked Questions about calculate-coverage

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

FAQPage Schema
How do I measure code coverage and identify untested paths in my Python project?▼

Code coverage measurement calculates the percentage of code executed by your tests and pinpoints specific untested lines and branches. It requires integrating with testing frameworks like pytest and dedicated coverage tools.

Why does my test suite pass but still leave untested code paths in my software?▼

Passing tests do not guarantee complete coverage because untested code paths may remain unexecuted. Gap identification pinpoints specific lines and branches lacking test cases, requiring additional test planning to achieve comprehensive testing.

Can I use pytest with coverage tools to check test completeness before a release?▼

Yes, you can use pytest with coverage tools to verify test completeness before releasing new features. This checks that all new code paths have corresponding tests to meet your software development quality standards.

What is the best way to perform gap analysis for untested code branches?▼

The best way to perform gap analysis for untested code branches is to calculate code coverage percentages and identify specific lines lacking test execution. This pinpoints exactly where additional test cases are needed.

Do I need a specific testing framework to calculate test coverage for my module?▼

Yes, calculating test coverage requires integration with testing frameworks like pytest and coverage tools. These frameworks execute your tests and track which lines and branches of your software are actually run.

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