Agent skill · Testing & QA

pytest-coverage

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

GitHub68,948★ · +463/wk · 2 repos on radarProfile →
copilotMIT
Install
npx skills add github/awesome-copilot --skill pytest-coverage --agent copilot

Same command for any agent — swap --agent for claude-code, codex, cursor.

Facts
Files in the skill folder: 1
SKILL.md size: 1 KB
Bundled scripts: none
Path: skills/pytest-coverage/SKILL.md
Open the folder on GitHub →
Where it comes from
Stars: 37,432 · +281 this week
Language: Python

Weekly change comes from our own snapshots, not the repository page — it measures attention, not adoption.

From the 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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About this skill
What does the pytest-coverage skill do?

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

How do I install it?

Run `npx skills add github/awesome-copilot --skill pytest-coverage --agent claude-code` — it drops the skill into your project so the agent can pick it up. Swap the --agent value for codex, cursor or copilot if you use one of those.

Where does this skill come from?

From github/awesome-copilot, a repository with 37,432 stars. We read it straight from the repository tree rather than a submitted listing, so what you see here is what is actually published.

Is a popular skill a good skill?

Not necessarily. Stars measure attention, not adoption — a repository can trend for a week and be abandoned. That is why we show the weekly change from our own snapshots next to the total, instead of a single flattering number.

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