What does the 'test' skill actually validate?

It validates configuration files, skill frontmatter, template structures, internal links, and terminology consistency across the entire music production repository.

Does this skill require external dependencies?

The quick automated tests require Python 3 and the PyYAML library to be installed on the host system to run the underlying validation scripts.

How are test failures reported?

Each failure provides a description of the problem, the specific file and line number involved, and a concrete instruction on how to fix the issue.

Can I run tests for specific categories only?

Yes, you can specify arguments such as 'config', 'skills', 'templates', or 'workflow' to run targeted tests instead of the full suite.

Can this skill check for model-specific requirements?

Yes, it verifies that every skill in the repository uses a valid and supported Claude model reference in its frontmatter.

Plugin Integrity & Test Runner

Name: Plugin Integrity & Test Runner
Author: bitwize-music-studio

bybitwize-music-studio

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Security & Testing

Validates the integrity of the Bitwize Music Studio plugin through comprehensive automated and behavioral testing.

About

The Plugin Integrity & Test Runner is a specialized diagnostic skill designed to ensure the stability and correctness of the Bitwize music production workflow. It performs deep audits of configuration files, skill definitions, and markdown templates to identify missing fields, invalid YAML syntax, broken internal links, and deprecated terminology. By combining a high-speed Python test suite with methodical behavioral checks, it provides developers and users with actionable reports to maintain a production-ready human-AI collaborative environment.

Key Features

Deep configuration auditing for artist settings, path resolution, and required fields
3 GitHub stars
Automated Python-based validation for skill frontmatter and template structure
Comprehensive terminology auditing to identify and replace deprecated keywords
Standardized reporting format with specific fix instructions for every failed test
Internal link and markdown consistency verification across the entire repository

Use Cases

Auditing a music project repository for broken links and template inconsistencies
Validating the local environment configuration to ensure correct pathing for music assets
Verifying a newly created skill's metadata and tool permissions before use

About

Key Features

Deep configuration auditing for artist settings, path resolution, and required fields
3 GitHub stars
Automated Python-based validation for skill frontmatter and template structure
Comprehensive terminology auditing to identify and replace deprecated keywords
Standardized reporting format with specific fix instructions for every failed test
Internal link and markdown consistency verification across the entire repository

Use Cases

Auditing a music project repository for broken links and template inconsistencies
Validating the local environment configuration to ensure correct pathing for music assets
Verifying a newly created skill's metadata and tool permissions before use