Python Testing
Helps with Python, testing as part of developing backend services and APIs workflows.
Install on your platform
We auto-selected Claude Code based on this skill’s supported platforms.
Run in terminal (recommended)
claude mcp add python-testing npx -- -y @trustedskills/python-testing
Or manually add to ~/.claude/settings.json
{
"mcpServers": {
"python-testing": {
"command": "npx",
"args": [
"-y",
"@trustedskills/python-testing"
]
}
}
}Requires Claude Code (claude CLI). Run claude --version to verify your install.
About This Skill
What it does
This skill enables AI agents to write, execute, and analyze Python unit tests using popular testing frameworks like unittest, pytest, and nose. It supports test automation, code coverage analysis, and debugging of failing tests.
When to use it
- You need to ensure the correctness of your Python functions or classes.
- You're working on a project that requires automated testing as part of the CI/CD pipeline.
- You want to identify untested parts of your codebase using coverage reports.
Key capabilities
- Writing test cases for Python functions and classes
- Running tests with
unittestorpytestframeworks - Generating code coverage reports
- Debugging failing tests by analyzing error logs
Example prompts
- "Write unit tests for the
calculate_sumfunction in my math module using pytest." - "Run all tests in the
tests/directory and generate a coverage report." - "Debug why the test for
validate_emailis failing with the input '[email protected]'."
Tips & gotchas
- Ensure your Python environment has the required testing libraries installed (e.g., pytest).
- Test files should be organized in a structure that matches the project's directory layout to avoid import errors.
Tags
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Security Audits
| Gen Agent Trust Hub | Pass |
| Socket | Pass |
| Snyk | Pass |
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