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.

Use it to prepare an existing humanoid GLB for posing and animation, then open the result in a browser-based pose studio.

It turns a roughly human-shaped model into one that can be posed and animated, instead of remaining a rigid object.

How nirholas/three.ws configures Claude Code

Reuse

Borrowing it

Nothing to install: this file belongs to nirholas/three.ws. Take a copy, put it at the same path in your own repository, and replace the rules that are about this project with yours.

Copy the file

curl -O https://raw.githubusercontent.com/nirholas/three.ws/main/.agents/skills/rig-a-model/SKILL.md

Clone the repo

git clone --depth 1 https://github.com/nirholas/three.ws

Made for: Claude Code.

Or install three-ws-core, the plugin that ships this one along with the rest of its 49 skills.

Wrote this? Show the measurements

A badge with what this costs and how it scanned, read live from this page, so it follows the numbers instead of freezing them. Markdown for a README, HTML for a documentation site or a project page.

README.md

[![agentmods](https://agentmods.dev/badge/skills/nirholas/three.ws/rig-a-model/github.svg)](https://agentmods.dev/skills/nirholas/three.ws/rig-a-model)

Your own site

<a href="https://agentmods.dev/skills/nirholas/three.ws/rig-a-model"><img src="https://agentmods.dev/badge/skills/nirholas/three.ws/rig-a-model/github.svg" alt="Measured on agentmods" height="20"></a>

Or the 80×15 button, for a site that already has a row of RSS and ATOM ones. Only the verdict fits; the numbers stay here.

Your own site · 80×15

<a href="https://agentmods.dev/skills/nirholas/three.ws/rig-a-model"><img src="https://agentmods.dev/badge/skills/nirholas/three.ws/rig-a-model.svg" alt="Reviewed on agentmods" width="80" height="20"></a>

Per session 109 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.

When invoked 1,267 The whole file, excluding the scripts and references it only reads on demand.

Security scan A 1 finding. A grade says what 26 rules found in the file — not that it is safe. Third-party audits

NVIDIA SkillSpector warn 7 Sept 2026

SkillSpector: 1 finding, up to medium

These are SkillSpector’s own severities. On a checked sample its high-severity flags on skills were ~96% false positives — a documented command, a public API, a “never do X” rule — so we show them as a caution to read, not a verdict. Why →

medium Data Exfiltration · line 49
Data is being sent to an external URL. This could be legitimate telemetry or data exfiltration. Manual review is recommended.

Fix: Verify the destination URL is trusted and necessary. Remove or replace with documented APIs. Ensure no secrets, tokens, or PII are transmitted.

How audits are shown

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.

Model	Per session	Once invoked
Fable 5.1	$0.00109	$0.01267
Opus 5.5	$0.00044	$0.00507
Sonnet 5.5	$0.00022	$0.00253
Haiku 4.5	$0.00011	$0.00127

Measured 14d ago against content hash e092d3a45dcb, method: parsed. Prices are Anthropic first-party input rates as of 2026-10-07, 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 14d 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.

14d ago Changed e092d3a45dcb
20d ago Changed · +2 tokens per session 6b5eb4fc712f
2mo 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 (269 stars, last pushed yesterday), licensed Apache-2.0. It adds 109 tokens to every session and 1,267 once invoked, about $0.0004 per session on Opus 5.5. 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.

Creative and media Game development LLM animation avatar glTF mcp webgl

rig-a-model next to 6 skills from other repositories
Mod	Type	Stars	Last push	Licence	Scan	Tokens	Works with
rig-a-modelnirholas/three.ws	Skill	269	yesterday	Apache-2.0	A	109	Claude Code
threejs-docspledgeandgrow/pledge-skills	Skill	10	3mo ago	MIT	A	112	Claude Code, Codex
blender-mcpraphaelmansuy/edgecrab	Skill	93	3mo ago	none	A	53	Claude Code, Codex
pixel-artNousResearch/hermes-agent	Skill	261k	yesterday	MIT	A	20	Claude Code, Codex
physics-matterphaserjs/phaser	Skill	41k	2mo ago	MIT	A	57	Claude Code, Codex
audio-and-soundphaserjs/phaser	Skill	41k	2mo ago	MIT	A	56	Claude Code, Codex
events-systemphaserjs/phaser	Skill	41k	2mo ago	MIT	A	52	Claude Code, Codex

three.ws: Skill for Claude Code