Run pytest with coverage reporting to identify and eliminate untested code lines.
Works with
Generates annotated source files in cov_annotate/ directory, with ! markers indicating uncovered lines
Supports module-specific coverage checks via --cov=module_name and targeted test runs on specific test files
Workflow: run coverage, review annotated files for uncovered lines, write tests to cover gaps, repeat until 100% coverage achieved
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AI-first code editor with Composer
Before installing skills in Cursor, ensure your development environment meets these requirements:
node --versionpytest-coverageExecute the skills CLI command in your project's root directory to begin installation:
Fetches pytest-coverage from github/awesome-copilot and configures it for Cursor.
The CLI shows a list of agents. Use arrow keys and space to select Cursor:
Confirm successful installation by checking the skill directory location:
Restart Cursor to activate pytest-coverage. Access via /pytest-coverage in your agent's command palette.
We perform automated surface-level scans (Gen AI Scanner, Socket, Snyk) during installation. These checks detect common vulnerabilities but do not guarantee complete security. Always review skill source code and verify the publisher's reputation before production use.
Skills execute code in your environment. Always review source, verify the publisher, and test in isolation before production.
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Automate repetitive workflows and reduce manual effort
Example
Generate reports, summarize documents, draft communications
Save 3-5 hours per week on routine tasks
Learn new skills, understand complex topics, get expert guidance
Example
Explain concepts, provide examples, suggest learning resources
Accelerate learning and skill development by 2x
Enhance output quality through reviews, suggestions, and refinements
Example
Review drafts, suggest improvements, catch errors
Improve work quality by 30-40% with less effort
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Prerequisites
Time Estimate
15-45 minutes depending on use case complexity
Steps
Common Pitfalls
✓ Do
✗ Don't
💡 Pro Tips
✓ Use when
Use when skill capabilities match your task, clear ROI on time saved, and you can validate outputs. Best for repetitive tasks, learning, and quality improvement.
✗ Avoid when
Avoid when task requires deep expertise you can't validate, involves sensitive decisions, or when learning process is more valuable than speed of completion.
github/awesome-copilot
github/awesome-copilot
github/awesome-copilot
github/awesome-copilot
github/awesome-copilot
github/awesome-copilot
pytest-coverage is among the better-maintained entries we tried; worth keeping pinned for repeat workflows.
I recommend pytest-coverage for anyone iterating fast on agent tooling; clear intent and a small, reviewable surface area.
Useful defaults in pytest-coverage — fewer surprises than typical one-off scripts, and it plays nicely with `npx skills` flows.
Registry listing for pytest-coverage matched our evaluation — installs cleanly and behaves as described in the markdown.
Solid pick for teams standardizing on skills: pytest-coverage is focused, and the summary matches what you get after install.
pytest-coverage has been reliable in day-to-day use. Documentation quality is above average for community skills.
Keeps context tight: pytest-coverage is the kind of skill you can hand to a new teammate without a long onboarding doc.
We added pytest-coverage from the explainx registry; install was straightforward and the SKILL.md answered most questions upfront.
pytest-coverage is among the better-maintained entries we tried; worth keeping pinned for repeat workflows.
pytest-coverage reduced setup friction for our internal harness; good balance of opinion and flexibility.
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