Does this skill include code coverage configuration?

Yes, it provides a comprehensive coverage configuration that enforces quality thresholds, identifies missing tests, and excludes boilerplate code from reports.

Is it compatible with CI/CD pipelines?

Absolutely. It includes patterns for GitHub Actions integration and standardized test commands to ensure your testing suite runs automatically during the development lifecycle.

How does this skill help reduce testing duplication?

It provides standardized templates for configuration files and shared conftest patterns, allowing you to reuse the same testing logic across multiple different plugins or projects.

Can I use this for testing Git-specific workflows?

Yes, the skill includes specialized Git testing fixtures and a helper class designed to simulate and validate repository interactions safely.

Standardized Pytest Configuration

Name: Standardized Pytest Configuration
Author: athola

byathola

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Seguridad y Pruebas

Standardizes pytest configurations and testing patterns to ensure consistent quality and coverage across Python-based plugins.

Acerca de

This skill provides a unified framework for implementing pytest configurations, significantly reducing boilerplate and duplication across Claude Code plugin ecosystems. It offers production-grade templates for pyproject.toml settings, reusable conftest fixtures, and specialized helpers for testing complex Git-based workflows. By enforcing consistent test markers, strict coverage thresholds, and automated CI/CD patterns, it enables developers to maintain high testing standards while streamlining the setup of new testing environments.

Características Principales

Specialized Git testing fixtures for repository-based workflow validation
Pre-configured mock fixtures for Bash and Claude Code internal tools
Integrated CI/CD patterns for GitHub Actions and automated testing
Reusable conftest.py patterns and directory structure templates
Standardized pyproject.toml templates for pytest and coverage reporting
10 GitHub stars

Casos de Uso

Establishing consistent testing infrastructure for a suite of Python-based Claude Code plugins
Enforcing strict code coverage thresholds and quality gates across multiple repositories
Testing complex Git operations and terminal tool interactions using specialized mock helpers

Acerca de

Características Principales

Specialized Git testing fixtures for repository-based workflow validation
Pre-configured mock fixtures for Bash and Claude Code internal tools
Integrated CI/CD patterns for GitHub Actions and automated testing
Reusable conftest.py patterns and directory structure templates
Standardized pyproject.toml templates for pytest and coverage reporting
10 GitHub stars

Casos de Uso

Establishing consistent testing infrastructure for a suite of Python-based Claude Code plugins
Enforcing strict code coverage thresholds and quality gates across multiple repositories
Testing complex Git operations and terminal tool interactions using specialized mock helpers