Open source alternatives to pytest-coverage
24 open source AI Skills apps to use instead, best rated first.
Top picks
- G
github-ops
Launchgithub-ops is an agent skill from the ECC collection by affaan-m, listed on skills.sh. It manages a GitHub repository with a focus on community health, CI reliability and the experience of contributors. It covers triaging issues by classify
Open source
- O
opensource-pipeline
Launchopensource-pipeline is an agent skill from the ECC collection by affaan-m, listed on skills.sh. It prepares a private project for safe public release through a three-stage pipeline. The fork stage strips secrets from a copy. The sanitise st
Open source
- A
andrej-karpathy-skills
Launchandrej-karpathy-skills is a single CLAUDE.md file from the multica-ai project that is meant to improve how Claude Code behaves on coding tasks. It is derived from Andrej Karpathy's public observations about LLM coding pitfalls. The file dis
Open source
- M
microsoft/markitdown
Launchmarkitdown-mcp is the MCP server package for MarkItDown, Microsoft's tool for converting many file formats to Markdown for language models. It is a lightweight server that runs over stdio, Streamable HTTP or SSE, and exposes one tool, conve
Open source
- O
od-contribute
Launchod-contribute is an agent skill in the OpenDesign project that provides a guided, one-click contribution flow to the OpenDesign repository, written so that people without a coding background can send a real pull request. It is locked to the
Open source
- G
github-deep-research
Launchgithub-deep-research is an agent skill from the DeerFlow project that researches a single GitHub repository in several rounds and writes a report in Markdown. It is for requests that need more than a README summary, such as a comprehensive
Open source
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About pytest-coverage
pytest-coverage
Run pytest with coverage reporting to identify and eliminate untested code lines
pytest-coverage is an agent skill from the github/awesome-copilot collection that runs pytest with coverage reporting, to find the lines of code that no test reaches and then to write the tests that close the gap. It generates an annotated report with pytest's coverage tool, writing one annotated source file per module into a cov_annotate folder, where lines that are not covered carry an exclamation mark marker. A file with full coverage needs no review. The skill can check a specific module with a coverage option that names it, and it can run only a chosen test file, which keeps the feedback loop short while a module is being tested. The target it works toward is complete coverage of the lines, and it reviews each file that falls short by reading its annotated version and writing tests for the missing paths. It is useful for Python teams who want to see which parts of their code are untested and need an orderly way to add tests. Coverage shows that a line ran, not that it behaves correctly, so the tests should assert the right results and not only exercise the code, and a target of 100 percent should not be pursued at the expense of tests that check real behavior. The skill is installed with the skills CLI from the github/awesome-copilot repository. Its skills.sh page showed about 12.8K installs and passing results from three security audits at the time of the scan.
- Price
- Free
- Made by
- github
- Category
- AI Skills
- Website
- github.com/github/awesome-copilot/pytest-coverage