Can I generate tests for existing Python files?

Yes, you can use the generate-test utility to create new test files based on a source file path and a specific description of what needs to be tested.

Can I get machine-readable output from test runs?

Absolutely. The skill provides test execution results in a structured JSON format, making it easy to integrate with other automation tools.

Does this skill support complex pytest features like fixtures?

Yes, the Pytest Test Framework skill fully supports advanced pytest capabilities including fixtures, parametrization, and mocking/monkeypatching.

How does this skill help with debugging?

It integrates with debugging workflows by detecting existing tests, generating new failing tests to reproduce bugs, and verifying fixes through re-execution.

Pytest Test Framework

Name: Pytest Test Framework
Author: FortiumPartners

byFortiumPartners

보안 및 테스팅

Generates and executes robust pytest suites for Python projects with support for fixtures, mocking, and structured output.

소개

The Pytest Test Framework skill streamlines the Python testing lifecycle within AI-augmented development workflows by automating test generation and execution. It enables Claude to create high-quality test files from source code templates, supporting advanced pytest features like fixtures, parametrization, and monkeypatching. By providing structured JSON feedback for test results, it facilitates seamless integration with debugging tools, allowing developers to identify failures quickly, validate bug fixes, and maintain high code coverage with minimal manual intervention.

주요 기능

Comprehensive support for pytest fixtures and parametrized tests
Structured JSON reporting for test pass/fail results and error details
Built-in mocking and monkeypatching for isolated unit testing
Automated test file generation from unit and integration templates
0 GitHub stars
Seamless integration with deep-debugging and test-detection workflows

사용 사례

Automatically generating unit tests for newly developed Python modules
Validating bug fixes by creating reproduction tests and verifying their resolution
Integrating automated test execution into Claude-managed CI/CD or debugging loops

소개

주요 기능

Comprehensive support for pytest fixtures and parametrized tests
Structured JSON reporting for test pass/fail results and error details
Built-in mocking and monkeypatching for isolated unit testing
Automated test file generation from unit and integration templates
0 GitHub stars
Seamless integration with deep-debugging and test-detection workflows

사용 사례

Automatically generating unit tests for newly developed Python modules
Validating bug fixes by creating reproduction tests and verifying their resolution
Integrating automated test execution into Claude-managed CI/CD or debugging loops