Pytest Testing

What it does

This skill enables AI agents to execute Pytest test suites directly within the Python runtime environment. It allows for automated verification of code logic, regression testing, and validation of software components using the industry-standard Pytest framework.

When to use it

• Validating new feature implementations before merging code into a production branch.
• Running regression tests after modifying shared utility functions or libraries.
• Automating quality assurance pipelines in CI/CD workflows for Python applications.
• Verifying that recent dependency updates do not break existing functionality.

Key capabilities

• Executes .py test files containing standard pytest markers and fixtures.
• Generates detailed output reports showing passed, failed, and skipped tests.
• Integrates seamlessly with the Python interpreter to run isolated test environments.
• Supports assertion-based testing for validating expected outputs against actual results.

Example prompts

• "Run the full test suite in the tests/ directory and summarize any failures."
• "Execute only the unit tests marked with @pytest.mark.integration."
• "Generate a report of failed tests after I updated the database connection module."

Tips & gotchas

Ensure your project has Pytest installed via pip install pytest before invoking this skill, as it relies on the framework's command-line interface. Limit execution to specific test files or markers if running the entire suite takes too long for real-time feedback loops.