rig-a-model

A tool that adds a digital skeleton and movement data to a static GLB 3D model. GLB is a file format commonly used for 3D models.

In plain words
What is it for?
Use it to prepare an existing humanoid GLB for posing and animation, then open the result in a browser-based pose studio.
Why use it?
It turns a roughly human-shaped model into one that can be posed and animated, instead of remaining a rigid object.

Skill for Claude CodeCodex

Install

Getting it into your agent

One page per mod, every tool's command on it. A separate URL per tool would split the same page into five that compete with each other.

agentmods
npx agentmods add skills/nirholas/three.ws/rig-a-model
Any agent
npx skills add nirholas/three.ws --skill rig-a-model
Clone the repo
git clone --depth 1 https://github.com/nirholas/three.ws

Made for: Claude Code, Codex.

Per session 107 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 1,269 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 1 finding. Scan, not verified.
Origin original No closer match found in the catalogue.
Token cost

What it costs to keep this loaded

Counted locally with the o200k_base tokenizer, which is exact for GPT models; Claude uses its own tokenizer and its counts differ. Treat this as one consistent yardstick across the catalogue rather than a bill. Prices are per million input tokens.

ModelPer sessionOnce invoked
Fable 5 $0.00107 $0.01269
Opus 5 $0.00053 $0.00634
Sonnet 5 $0.00021 $0.00254
Haiku 4.5 $0.00011 $0.00127

Measured 2d ago against content hash 4814f903b6e0, method: parsed. Prices are Anthropic first-party input rates as of 2026-08-30, from the pricing page.

Security

Grade A, and why

rig-a-model scanned grade A with 1 finding against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 2d ago.

A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.

Makes network callslowCapability

Not a fault in itself. Listed so you know the mod talks to something, and to what.

curl -s -X POST https://three.ws/api/mcp-studio \
.agents/skills/rig-a-model/SKILL.md · 112 lines

How it starts

The opening of the file, as written. The whole thing — 112 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Rig a 3D model

Turn a static GLB into an animation-ready one. The three.ws auto-rig pipeline (Make-It-Animatable) adds a humanoid skeleton and per-vertex skin weights, so the model can be posed and play animation clips.

The result is a riggedGlbUrl plus a pose-studio link that opens the rigged model in the browser, ready to pose.

When to use which tool

Goal Use
Add a skeleton to a GLB you already have this skill
A new static object / prop from text generate-3d-model
A new rigged character from text/image in one call create-3d-avatar

Rigging assumes a roughly humanoid figure (head, torso, two arms, two legs, standing). Props, furniture, and vehicles won't rig meaningfully.

Fastest path — the MCP tool

If the three.ws MCP server is connected, call the rig tool directly:

  • Tool: rig_mesh
  • Input: { "glb_url": "<https URL to the static GLB>" }
    • Any reachable GLB URL works — a glbUrl from generate-3d-model, a CDN link, or a model you host yourself.
  • Returns: riggedGlbUrl, sourceGlbUrl, poseStudioUrl, jobId, creationId, durationMs.

Portable path — the hosted HTTP endpoint

No MCP client needed. rig_mesh is exposed free on the hosted studio JSON-RPC endpoint at https://three.ws/api/mcp-studio (no key, no account):

curl -s -X POST https://three.ws/api/mcp-studio \
  -H 'content-type: application/json' \
  -d '{
    "jsonrpc": "2.0",
    "id": 1,
    "method": "tools/call",
    "params": {
      "name": "rig_mesh",
      "arguments": { "glb_url": "https://three.ws/avatars/cesium-man.glb" }
    }
  }'

structuredContent returns the rigged model:

{
  "ok": true,
  "riggedGlbUrl": "https://three.ws/cdn/creations/def456/rigged.glb",
  "sourceGlbUrl": "https://three.ws/avatars/cesium-man.glb",
  "poseStudioUrl": "https://three.ws/pose?src=https%3A%2F%2Fthree.ws%2F...",
  "jobId": "r9k2m7x4",
  "durationMs": 48000
}

Raw REST pipeline

Read the full file on GitHub · 112 lines

Changes

What this file has done since we first saw it

Hashed on every crawl. A supply-chain change to an agent config is a question of when, not whether, so the history is kept rather than the latest state alone.

  1. 2d ago First seen · 112 lines · 107 tokens per session scan A 4814f903b6e0

Subscribe to this mod's changes

rig-a-model is a skill published in the GitHub repository nirholas/three.ws (107 stars, last pushed 3d ago), licensed Apache-2.0. It adds 107 tokens to every session and 1,269 once invoked, about $0.0005 per session on Opus 5. A static security scan graded it A with 1 finding (makes network calls). No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-30.

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