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Compat Hunter

Organization
layoutit
compat-hunter

Use when hunting for OBJ/GLB/glTF/VOX parser compatibility issues by streaming candidate models, parsing each immediately, deleting clean files, and retaining only actionable failures, unknown warnings, or unexplained zero-polygon outputs. Especially useful in the polycss repo with scripts/compat-hunter.mjs.

Overview

Publisherlayoutit
Repositorypolycss
Skill namecompat-hunter
Stars
768
Forks
22
Bundled files
2
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.

  • 2 bundled files

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

  • Open source

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

Installation

Install the Compat Hunter 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/layoutit/polycss/tree/main/.agents/skills/compat-hunter
  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/layoutit/polycss.git /tmp/polycss
mkdir -p .claude/skills
cp -r /tmp/polycss/.agents/skills/compat-hunter .claude/skills/compat-hunter
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Compat Hunter 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 Compat Hunter 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 Compat Hunter 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.

Compat Hunter

Use this skill when the user wants to keep digging for parser compatibility issues without building a fixed local corpus.

Workflow

  1. In the repo, prefer the reusable script:

    bash
    pnpm compat-hunter -- --max-models 2000

    Equivalent explicit form:

    bash
    pnpm --filter @layoutit/polycss-core build
    node .agents/skills/compat-hunter/scripts/compat-hunter.mjs --max-models 2000
  2. Let the script stream remote OBJ/GLB/glTF/VOX candidates, parse each model, and discard clean files. Reports are written under bench/results/, which is ignored by git.

  3. Treat these as known non-actionable unless the user asks to support them:

    • glTF POINTS/LINES/LINE_LOOP/LINE_STRIP primitives.
    • Required Draco or meshopt compressed primitives skipped with a warning.
    • STL source-quality diagnostics that the parser already handles: degenerate triangles, repaired winding, component orientation, non-manifold/shared-edge topology, supplied-normal mismatches, malformed normals/facets, overdeclared binary triangle counts, trailing binary bytes, and ignored non-Magics binary attribute bytes.
    • Empty/corrupt STL containers with no complete triangle records or no valid ASCII facets.
  4. Stop and inspect anything classified as:

    • throw
    • unknown-warning
    • obj-zero-no-warning
    • glb-zero-no-warning
  5. If an actionable parser issue is found, keep the saved file under the report's interesting/ directory, add a focused parser test using that behavior, implement the smallest fix, and rerun the focused parser tests plus the hunter on the saved file or source class.

Useful Commands

Fresh Objaverse and expanded GitHub stream:

bash
pnpm compat-hunter -- --max-models 5000 --max-bytes 10mb --timeout-ms 30000

Objaverse only, later shards:

bash
pnpm compat-hunter -- --sources objaverse --objaverse-shards 120:220 --max-models 5000

GitHub only:

bash
pnpm compat-hunter -- --sources github --max-models 500

Poly Haven only:

bash
pnpm compat-hunter -- --sources polyhaven --polyhaven-limit 250 --max-models 200

VOX-heavy GitHub sources:

bash
pnpm compat-hunter -- --sources github --github-repos ephtracy/voxel-model@master:vox/,mikelovesrobots/mmmm@master:vox/ --max-models 1000

Local directory:

bash
pnpm compat-hunter -- --sources local --local-root /tmp/models --max-models 1000

Keep known-warning files too:

bash
pnpm compat-hunter -- --keep-known --max-models 500

For STL hunts, --keep-known keeps warning-only models under known/ and the report includes warningCategoriesByKind plus stlDiagnostics on retained rows. Unknown STL warning text, throws, zero-polygon outputs, and suspicious DOM collapses remain interesting/.

Avoid repeating the same shuffled queue:

bash
pnpm compat-hunter -- --sources thingi10k --exts stl --max-models 5000 --seed "$(date +%s)" --queue-offset 5000

Skip models already attempted by prior reports:

bash
pnpm compat-hunter -- --sources thingi10k --exts stl --max-models 5000 --skip-report bench/results/<previous-run>/report.json

Continue after interesting cases:

bash
pnpm compat-hunter -- --no-stop-on-interesting --max-models 2000

Reporting

Summarize the final report.json with:

bash
pnpm compat-hunter -- --report bench/results/<run>/report.json

In the final response, state the attempted/parsed counts, whether any interesting files were retained, and whether the findings are actionable. Do not imply a clean stream proves full compatibility; it only means this pass found no new actionable parser issue.

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 Compat Hunter AI skill do?

Use when hunting for OBJ/GLB/glTF/VOX parser compatibility issues by streaming candidate models, parsing each immediately, deleting clean files, and retaining only actionable failures, unknown warnings, or unexplained zero-polygon outputs. Especially useful in the polycss repo with scripts/compat-hunter.mjs.

Why use Compat Hunter on TypingMind?

Because you install it once and use it with any model. Compat Hunter 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 Compat Hunter in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/layoutit/polycss/tree/main/.agents/skills/compat-hunter. 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 Compat Hunter?

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 Compat Hunter?

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

Is the Compat Hunter AI skill free?

Yes. It is published on GitHub by layoutit 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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