How does this skill help with pytest file structure?

The skill maps source files to specific test paths (e.g., source/pkg/module.py to tests/pkg/test_pkg_module.py) ensuring a clean, mirrored directory structure.

Does this skill support testing public APIs?

Yes, it specifically includes patterns for exporting public interfaces in an api.py file and verifying them through dedicated test_api.py scripts.

What is the recommended code coverage goal?

This strategy targets a 95%+ coverage goal for all implementation files to ensure high reliability and production-grade software.

How do I find the correct location for a new test file?

You can use the integrated shai-py test-path command which automatically determines the correct test file path based on your source file location.

Python Testing Strategy

Name: Python Testing Strategy
Author: MacHu-GWU

byMacHu-GWU

セキュリティとテスト

Standardizes Python testing workflows using pytest with structured file naming, coverage goals, and API-first testing patterns.

概要

This Claude Code skill provides a comprehensive framework for implementing high-quality Python tests within your development workflow. It enforces a strict directory structure that mirrors source code, ensures high test coverage with a target of 95% or higher, and prioritizes testing public APIs. By utilizing specialized commands to resolve test paths and standardizing pytest patterns, it helps developers maintain consistent, robust, and maintainable test suites for any Python module, class, or function.

主な機能

Standardized pytest file naming and directory structure mapping
0 GitHub stars
Dedicated public API interface testing patterns via api.py
Streamlined test execution commands for individual files, packages, or full suites
Automated test path resolution for any source file using naming conventions
Pre-configured 95%+ code coverage strategy for implementation files

ユースケース

Ensuring public-facing API interfaces are correctly tested and exported for library consumers
Generating unit tests for a new Python module with correct file placement
Auditing and improving code coverage for an existing Python project to meet high-quality benchmarks

概要

主な機能

Standardized pytest file naming and directory structure mapping
0 GitHub stars
Dedicated public API interface testing patterns via api.py
Streamlined test execution commands for individual files, packages, or full suites
Automated test path resolution for any source file using naming conventions
Pre-configured 95%+ code coverage strategy for implementation files

ユースケース

Ensuring public-facing API interfaces are correctly tested and exported for library consumers
Generating unit tests for a new Python module with correct file placement
Auditing and improving code coverage for an existing Python project to meet high-quality benchmarks