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Validate Vst3

Organization
iPlug3
validate-vst3

Validate VST3 plugins (.vst3 bundles) using Steinberg's official validator tool. Use when user says "run VST3 validator", "validate VST3", "test the .vst3", or needs Steinberg-specific test suites. Prefer this over pluginval for multi-bus VST3 plugins.

Overview

PublisheriPlug3
Repositoryaudio-plugin-dev-skills
Skill namevalidate-vst3
Stars
100
Forks
4
Bundled files
Instructions only
LicenseMIT
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.

  • Self-contained

    Everything the model needs lives in the instructions — no extra files to sync.

  • Open source

    Published by iPlug3 on GitHub. Read the source before you install it.

Installation

Install the Validate Vst3 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/iPlug3/audio-plugin-dev-skills/tree/main/plugins/audio-plugin-validators/skills/validate-vst3
  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/iPlug3/audio-plugin-dev-skills.git /tmp/audio-plugin-dev-skills
mkdir -p .claude/skills
cp -r /tmp/audio-plugin-dev-skills/plugins/audio-plugin-validators/skills/validate-vst3 .claude/skills/validate-vst3
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Validate Vst3 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 Validate Vst3 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 Validate Vst3 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.

VST3 Validator

Plugin Install Locations

The validator accepts a direct path, but validator -list only scans standard locations.

PlatformUser LocationSystem Location
macOS~/Library/Audio/Plug-Ins/VST3//Library/Audio/Plug-Ins/VST3/
Windows%LOCALAPPDATA%\Programs\Common\VST3\C:\Program Files\Common Files\VST3\
Linux~/.vst3//usr/lib/vst3/ or /usr/local/lib/vst3/

Instructions

  1. Locate the built .vst3 bundle (in your build output directory or one of the standard locations above)
  2. Locate the validator binary (see Common Binary Locations below)
  3. Run: validator /path/to/plugin.vst3
  4. For thorough testing add -e: validator -e /path/to/plugin.vst3
  5. Check output for FAILED lines — see Common Issues below for fixes

Basic Usage

bash
# Validate a VST3 plugin (validator location depends on your VST3 SDK build)
validator /path/to/plugin.vst3

Common Binary Locations

PlatformPath
macOS<vst3sdk>/build/bin/Release/validator or /usr/local/bin/validator
Windows<vst3sdk>\build\bin\Release\validator.exe
Linux<vst3sdk>/build/bin/Release/validator

Options

bash
# Run extensive tests (takes longer but more thorough)
validator -e /path/to/plugin.vst3

# Quiet mode - only print errors
validator -q /path/to/plugin.vst3

# Run only a specific test suite
validator -suite "General Tests" /path/to/plugin.vst3

# Test only a specific processor class ID
validator -cid "ABCD1234..." /path/to/plugin.vst3

# Use local instance per test (isolates tests)
validator -l /path/to/plugin.vst3

Listing Plugins

bash
# List all installed VST3 plugins
validator -list

# List snapshots from all installed plugins
validator -snapshots

Test Suites

SuiteDescription
General TestsBasic plugin loading and info
Single Precision32-bit audio processing
Double Precision64-bit audio processing
Bus ActivationBus enable/disable handling
Bus ArrangementChannel configuration
ParametersParameter handling and automation
StatePreset save/restore
EditorUI creation/destruction
Process ContextTransport and tempo handling

Building the Validator

Clone the VST3 SDK if you don't have it, then build:

bash
cd <vst3sdk>
cmake -B build -G Ninja -DCMAKE_BUILD_TYPE=Release
cmake --build build --target validator

Common Issues

Plugin Not Loading

  • Check the binary architecture matches (arm64 vs x86_64 on macOS, x64 vs x86 on Windows)
  • Verify all dependencies are bundled or available
  • Check logs: Console.app (macOS), Event Viewer (Windows), or stderr (Linux)

Test Failures

  • State tests: Ensure getState/setState are implemented correctly
  • Parameter tests: Check parameter IDs are stable and unique
  • Bus tests: Verify channel configurations are valid

Extensive Test Failures

The -e flag runs stress tests that may reveal:

  • Memory leaks
  • Thread safety issues
  • Edge cases in parameter handling

Frequently asked questions

What does the Validate Vst3 AI skill do?

Validate VST3 plugins (.vst3 bundles) using Steinberg's official validator tool. Use when user says "run VST3 validator", "validate VST3", "test the .vst3", or needs Steinberg-specific test suites. Prefer this over pluginval for multi-bus VST3 plugins.

Why use Validate Vst3 on TypingMind?

Because you install it once and use it with any model. Validate Vst3 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 Validate Vst3 in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/iPlug3/audio-plugin-dev-skills/tree/main/plugins/audio-plugin-validators/skills/validate-vst3. TypingMind reads its SKILL.md and installs it as a skill you can enable per chat.

Which AI models can use Validate Vst3?

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 Validate Vst3?

As many as you like. As long as a model supports skills, you can use Validate Vst3 with it — GPT, Claude, Gemini, Grok, DeepSeek, Mistral, Llama and more — all on TypingMind with your own API keys.

Is the Validate Vst3 AI skill free?

Yes. It is published on GitHub by iPlug3 under the MIT 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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