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Test

Organization
bitwize-music-studio
test

Runs automated tests to validate plugin integrity across 14 categories. Use before creating PRs, after making changes to skills or templates, or to verify plugin health.

Overview

Publisherbitwize-music-studio
Repositoryclaude-ai-music-skills
Skill nametest
Stars
546
Forks
130
Bundled files
1
LicenseCC0-1.0
Links
  • Markdown instructions

    A SKILL.md file the model loads on demand, so it only costs tokens when a request actually matches.

  • Works with any LLM

    AI skills are plain Markdown, not provider-specific code, so this works with GPT, Claude, Gemini, Grok, or a local model.

  • 1 bundled files

    Scripts, templates, and references the model can read while it works. Files are read-only and never executed.

  • Open source

    Published by bitwize-music-studio on GitHub. Read the source before you install it.

Installation

Install the Test AI skill in TypingMind to use it with any LLM, or drop it into another agent that reads SKILL.md.

1

Install in TypingMind

TypingMind installs a skill straight from its GitHub folder — it reads SKILL.md, bundles the resource files, and stores the result locally.

  1. Open the app and go to Plugins → Skills.
  2. Choose "Install from GitHub".
  3. Paste the skill folder URL below and confirm.
    https://github.com/bitwize-music-studio/claude-ai-music-skills/tree/main/skills/test
  4. Enable the skill in any chat where you want it available.
Plugins → Skills → Add skill → From GitHub URL, then paste the folder URL and press Continue.
2

Install in another agent

Any agent that reads the Agent Skills format can use this skill — copy the folder into that agent's skills directory.

Claude Code — .claude/skills
git clone --depth 1 https://github.com/bitwize-music-studio/claude-ai-music-skills.git /tmp/claude-ai-music-skills
mkdir -p .claude/skills
cp -r /tmp/claude-ai-music-skills/skills/test .claude/skills/test
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Test in any TypingMind chat and the model takes it from there. Its name and description sit in the system prompt, and the moment a request matches, the model loads the full instructions itself — you never invoke it by hand, and it costs no tokens until it is actually used.

The model loads Test on its own as soon as a request matches it.

Works with any AI model

AI skills are plain Markdown instructions rather than provider-specific code, so Test is not tied to the model it was written for. Install it once in TypingMind and use it with GPT-5, Claude, Gemini, Grok, DeepSeek, Mistral, Llama, or a local model you run yourself — all on your own API keys.

  • Loaded only when it is needed

    The system prompt carries just the name and description. The instructions are fetched on the first matching request, so an idle skill costs nothing.

  • Switch models mid-chat

    Because the skill is instructions rather than code, changing model does not break it — the next model reads the same SKILL.md.

Skill instructions

This is the SKILL.md content the model loads. Read it before installing — a skill is instructions your model will follow.

Your Task

Input: $ARGUMENTS

Run automated tests to validate plugin integrity. Execute each test methodically and report results clearly.

Default: Run all tests if no argument provided.


Plugin Test Suite

You are the plugin's automated test runner. Execute each test, track pass/fail, and report actionable results.

Quick Automated Tests (/test quick)

For fast automated validation, run the pytest suite. Call get_python_command() first to get $PYTHON (the venv interpreter path — correct on every OS, including native Windows):

bash
$PYTHON -m pytest ${CLAUDE_PLUGIN_ROOT}/tests/ -v

This covers:

  • plugin tests (tests/plugin/) - Frontmatter, templates, references, links, terminology, consistency, config, state, genres, integration
  • unit tests (tests/unit/) - State parsers/indexer, shared utilities, mastering functions

Run specific categories:

bash
$PYTHON -m pytest ${CLAUDE_PLUGIN_ROOT}/tests/plugin/test_skills.py -v       # Skills only
$PYTHON -m pytest ${CLAUDE_PLUGIN_ROOT}/tests/plugin/ -v                      # All plugin tests
$PYTHON -m pytest ${CLAUDE_PLUGIN_ROOT}/tests/unit/ -v                        # All unit tests
$PYTHON -m pytest ${CLAUDE_PLUGIN_ROOT}/tests/ -m "not slow" -v               # Skip slow tests

Pytest catches common issues fast. For deep behavioral tests, use the full test suite below.

Output Format

════════════════════════════════════════
CATEGORY: Test Category Name
════════════════════════════════════════

[PASS] Test name
[FAIL] Test name
       → Problem: what's wrong
       → File: path/to/file:line
       → Fix: specific fix instruction

────────────────────────────────────────
Category: X passed, Y failed
────────────────────────────────────────

At the end:

════════════════════════════════════════
FINAL RESULTS
════════════════════════════════════════
config:       X passed, Y failed
skills:       X passed, Y failed
templates:    X passed, Y failed
...
────────────────────────────────────────
TOTAL:        X passed, Y failed, Z skipped
════════════════════════════════════════

TEST CATEGORIES

All test definitions are in test-definitions.md.

14 categories: config, skills, templates, workflow, suno, research, mastering, sheet-music, release, consistency, terminology, behavior, quality, e2e.

Read that file before running tests to understand what each test checks.


RUNNING TESTS

Commands

CommandDescription
/test or /test allRun all tests
/test quickRun Python test runner (fast automated checks)
/test configConfiguration system tests
/test skillsSkill definitions and docs
/test templatesTemplate file tests
/test workflowAlbum workflow documentation
/test sunoSuno integration tests
/test researchResearch workflow tests
/test masteringMastering workflow tests
/test sheet-musicSheet music generation tests
/test releaseRelease workflow tests
/test consistencyCross-reference checks
/test terminologyConsistent language tests
/test behaviorScenario-based tests
/test qualityCode quality checks
/test e2eEnd-to-end integration test

Quick Tests via Pytest

For rapid validation during development, use pytest directly. Call get_python_command() first to get $PYTHON (the venv interpreter path — correct on every OS):

bash
# Run all tests
$PYTHON -m pytest ${CLAUDE_PLUGIN_ROOT}/tests/ -v

# Run specific test modules
$PYTHON -m pytest ${CLAUDE_PLUGIN_ROOT}/tests/plugin/test_skills.py ${CLAUDE_PLUGIN_ROOT}/tests/plugin/test_templates.py -v

# Verbose with short tracebacks
$PYTHON -m pytest ${CLAUDE_PLUGIN_ROOT}/tests/ -v --tb=short

# Quiet mode (for CI/logs)
$PYTHON -m pytest ${CLAUDE_PLUGIN_ROOT}/tests/ -q --tb=line

Test modules in tests/plugin/:

  • test_skills.py - Frontmatter, required fields, model validation
  • test_templates.py - Template existence and structure
  • test_references.py - Reference doc existence
  • test_links.py - Internal markdown links
  • test_terminology.py - Deprecated terms check
  • test_consistency.py - Version sync, skill counts
  • test_config.py - Config file validation
  • test_state.py - State cache tool validation
  • test_genres.py - Genre directory cross-reference
  • test_integration.py - Cross-skill prerequisite chains

Adding New Tests

When bugs are found:

  1. Identify which category the test belongs to
  2. Add a test that would have caught the bug
  3. Run /test [category] to verify test fails
  4. Fix the bug
  5. Run /test [category] to verify test passes
  6. Commit both the fix and the new test

Rule: Every bug fix should add a regression test.


EXECUTION TIPS

  • Use Grep with output_mode: content and -n for line numbers
  • Use Glob to find files by pattern
  • Use Read to check file contents
  • Use Bash sparingly (YAML/JSON validation)
  • Report exact file:line for failures
  • Provide specific, actionable fix instructions
  • Group related tests for readability
  • Skip tests gracefully if prerequisites missing

Bundled files

The model reads these on demand while the skill is loaded. They are exposed as readable files and are never executed.

Frequently asked questions

What does the Test AI skill do?

Runs automated tests to validate plugin integrity across 14 categories. Use before creating PRs, after making changes to skills or templates, or to verify plugin health.

Why use Test on TypingMind?

Because you install it once and use it with any model. Test is plain Markdown rather than provider-specific code, so the same skill runs on GPT-5, Claude, Gemini, Grok, or a local model — and you can switch model mid-chat without it breaking. TypingMind runs on your own API keys, so you pay providers directly instead of a per-seat subscription, and your skills and chats stay in your own storage.

How do I install Test in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/bitwize-music-studio/claude-ai-music-skills/tree/main/skills/test. TypingMind reads its SKILL.md and bundles its files and installs it as a skill you can enable per chat.

Which AI models can use Test?

Any model you connect in TypingMind. AI skills are plain Markdown instructions rather than provider-specific code, so GPT, Claude, Gemini, Grok, and local models can all load this skill when a request matches it.

How many AI models can I use with Test?

As many as you like. As long as a model supports skills, you can use Test with it — GPT, Claude, Gemini, Grok, DeepSeek, Mistral, Llama and more — all on TypingMind with your own API keys.

Is the Test AI skill free?

Yes. It is published on GitHub by bitwize-music-studio under the CC0-1.0 license. You only pay your own AI provider for the tokens you use.

What are AI skills?

An AI skill is a reusable instruction bundle that teaches an AI model how to do one specific task. It follows the open Agent Skills format: a SKILL.md file with a name and description, plus any scripts, templates or reference files the model may need. The model reads the instructions only when your request matches the skill, so an installed skill costs nothing until it is used.

How are AI skills different from plugins or MCP servers?

A plugin or MCP server gives a model new tools to call — code that runs somewhere and returns a result. An AI skill gives the model knowledge and process instead: how to approach a task, which steps to follow, what good output looks like. Skills are plain Markdown, so they need no server, no API key and no runtime, and they work with any model.

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