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test-skill

Automate validation testing for Claude plugins using Python tooling.

4|Updated Jan 23, 2026
Search Tags:#testing#python#validation#plugins#fixtures#validation-report
One-click install
npx skills add https://github.com/Emasoft/claude-plugins-validation --skill test-skill-emasoft
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: test-skill
Source: https://github.com/Emasoft/claude-plugins-validation/tree/main/tests/fixtures/valid_plugin/skills/test-skill
Command: npx skills add https://github.com/Emasoft/claude-plugins-validation --skill test-skill-emasoft

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

This skill makes it easy to perform repeated validation testing for Claude plugins, reducing manual setup and ensuring test coverage across fixtures.

Core Features & Use Cases

  • Guided test scenarios: Reproduces common validation flows and edge cases with minimal setup.
  • Fixture-driven checks: Validates fixtures against expected outcomes to surface regressions early.
  • CI-friendly reporting: Produces deterministic, easy-to-parse reports suitable for CI pipelines.

Quick Start

  1. Navigate to the skill directory tests/fixtures/valid_plugin/skills/test-skill.
  2. Run the sample validation using the repository tooling: uv run python scripts/validate_skill.py tests/fixtures/valid_plugin/skills/test-skill --verbose
  3. Review the ValidationReport output and adjust fixtures as needed.

Frequently Asked Questions about test-skill

High-intent search queries and answers about installing and using this skill.

FAQPage Schema
How do I automate validation testing for Claude plugins?▼

Automate Claude plugin validation testing by running Python scripts that evaluate configurations and fixtures against expected outcomes. This skill reproduces common validation flows and edge cases, minimizing manual setup and ensuring test coverage.

Do I need Python 3 to run validation reports on plugin fixtures?▼

Yes, Python 3 is required to execute the validation scripts and generate a ValidationReport. The skill leverages included Python tooling to validate fixtures and surface regressions early in the development lifecycle.

What's the best way to validate plugin configurations in a CI pipeline?▼

The best way to validate plugin configurations in CI is using fixture-driven validation scripts. This skill produces deterministic, easy-to-parse ValidationReport outputs suitable for automated CI pipelines and regression detection.

How does fixture-driven validation testing work for plugin error handling?▼

Fixture-driven validation testing works by evaluating plugin fixtures against expected error handling outcomes. The skill runs scenarios using repository tooling to check correctness and identify validation logic regressions.

Can I run validation checks on plugin configurations without complex setup?▼

Yes, you can run validation checks with minimal setup. Execute the sample validation script from the skill directory using Python tooling to review the ValidationReport output and adjust fixtures as needed.

What limitations exist when testing validation logic with Python scripts?▼

A key limitation is the strict requirement for a Python 3 environment. Additionally, validation logic testing is confined to the provided fixtures and scenarios, requiring manual fixture adjustments to cover new edge cases.

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