Testing

pytest-coverage - Claude MCP Skill

Run pytest tests with coverage, discover lines missing coverage, and increase coverage to 100%.

SEO Guide: Enhance your AI agent with the pytest-coverage tool. This Model Context Protocol (MCP) server allows Claude Desktop and other LLMs to run pytest tests with coverage, discover lines missing coverage, and increase coverage to 100%.... Download and configure this skill to unlock new capabilities for your AI workflow.

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Documentation

SKILL.md
The goal is for the tests to cover all lines of code.

Generate a coverage report with:

pytest --cov --cov-report=annotate:cov_annotate

If you are checking for coverage of a specific module, you can specify it like this:

pytest --cov=your_module_name --cov-report=annotate:cov_annotate

You can also specify specific tests to run, for example:

pytest tests/test_your_module.py --cov=your_module_name --cov-report=annotate:cov_annotate

Open the cov_annotate directory to view the annotated source code.
There will be one file per source file. If a file has 100% source coverage, it means all lines are covered by tests, so you do not need to open the file.

For each file that has less than 100% test coverage, find the matching file in cov_annotate and review the file.

If a line starts with a ! (exclamation mark), it means that the line is not covered by tests.
Add tests to cover the missing lines.

Keep running the tests and improving coverage until all lines are covered.

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Information

Repository
github/awesome-copilot
Author
github
Last Sync
3/13/2026
Repo Updated
3/13/2026
Created
2/25/2026

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