Pytest Coverage
OfficialThis skill generates pytest coverage reports to assess code test execution and identify gaps for improved reliability.
Install on your platform
Showing Claude Code. One command installs this skill into any of the agents below.
- 1
Run this in your project
terminal$ npx skills add github/awesome-copilot --skill pytest-coverage -a claude-code Uses the open-source
skillsCLI and needs Node.js. Add-gto install it for your user instead of this project.
What we know about this skill
Publisher
github
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Install target
Live repository
Not pinned. Installing fetches whatever the repository holds at the time you run the command.
Automated safety checks
This skill failed 1 of 6 checks. A failure is not proof of bad intent; it means something in the code needs a human to look at it before you run it.
Declares what it does: failed
No SKILL.md was found in the skill's directory.
SKILL.md exists, its frontmatter parses, and it declares a name and a description.
No undeclared network calls: passed
Makes no network calls.
Every host the skill dials — from its scripts, its config endpoints or the commands it tells the agent to run — is either well-known package and API infrastructure or declared in its own frontmatter. Links in documentation are not counted.
No obfuscated payloads: passed
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No credential access: passed
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Neither the code nor the SKILL.md instructions read SSH keys, cloud credentials, keychains, token stores, browser cookie databases or dotfiles that hold secrets.
No pipe-to-shell installers: passed
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No `curl … | sh` pattern, in the code or in the instructions, that runs code fetched at run time.
Pinned to a commit: passed
Scanned github/awesome-copilot at 6c4d33b9cf.
The exact upstream commit SHA that was scanned is recorded, so the result refers to specific bytes.
- Commit
- 6c4d33b9cf
- Manifest
- skills/pytest-coverage/SKILL.md
- Scanned
- 0 files
About this skill
What it does
The pytest-coverage skill integrates with Python's pytest testing framework to measure code coverage during test execution. It provides detailed reports on which parts of the codebase are exercised by tests, helping developers identify untested areas and improve test quality.
When to use it
- You want to ensure all critical sections of your Python code are tested after writing new features.
- You're working on a project with multiple contributors and need consistent coverage metrics across different branches or pull requests.
- Your team is following test-driven development (TDD) practices and needs real-time feedback on test completeness.
Key capabilities
- Generates code coverage reports in various formats like HTML, XML, and JSON.
- Integrates seamlessly with
pytestfor automated testing workflows. - Highlights lines of code that are not executed by tests, aiding in debugging and refactoring efforts.
Example prompts
- "Run pytest with coverage analysis on the test suite."
- "Generate an HTML coverage report after executing all unit tests."
- "Show me which functions in
utils.pyare not covered by tests."
Tips & gotchas
- Ensure that your project has
pytestandcoverage.pyinstalled before using this skill. - Some code, like conditionals inside functions that aren't triggered during testing, may appear as uncovered even if logically correct. Always review coverage reports in context.