meshy-auto-rig

meshy-auto-rig is a skill for Claude Code, Codex from fullstacktard/claude-workflow. It costs 64 tokens per session (2,226 once invoked), scanned B, original, MIT.

A skill that sends a static 3D character model to the Meshy AI service and prepares it for animation. It adds a skeleton and generates walk and run animations for GLB or FBX humanoid models.

In plain words
What is it for?
Use it to prepare 3D characters for animation workflows, including projects built with Three.js or React Three Fiber.
Why use it?
It removes the manual work of setting up a character’s bones and creating basic movement cycles.

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/fullstacktard/claude-workflow/meshy-auto-rig
Any agent
npx skills add fullstacktard/claude-workflow --skill meshy-auto-rig
Clone the repo
git clone --depth 1 https://github.com/fullstacktard/claude-workflow

Made for: Claude Code, Codex.

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.

agentmods badge for meshy-auto-rig

README.md
[![agentmods](https://agentmods.dev/badge/skills/fullstacktard/claude-workflow/meshy-auto-rig.svg)](https://agentmods.dev/skills/fullstacktard/claude-workflow/meshy-auto-rig)
Your own site
<a href="https://agentmods.dev/skills/fullstacktard/claude-workflow/meshy-auto-rig"><img src="https://agentmods.dev/badge/skills/fullstacktard/claude-workflow/meshy-auto-rig.svg" alt="Measured on agentmods" height="20"></a>
Per session 64 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 2,226 The whole file, excluding the scripts and references it only reads on demand.
Security scan B 2 findings. 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 $0.00064 $0.02226
Opus 5 $0.00032 $0.01113
Sonnet 5 $0.00013 $0.00445
Haiku 4.5 $0.00006 $0.00223

Measured 4d ago against content hash c1e215f03d0f, method: parsed. Prices are Anthropic first-party input rates as of 2026-08-30, from the pricing page.

Security

Grade B, and why

meshy-auto-rig scanned grade B with 2 findings 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 4d 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.

Sends data to an external URLmediumData exfiltration

A POST to an outside endpoint may be telemetry or may be exfiltration; either way the mod talks to somewhere, and you should know where.

const response = await fetch("https://api.meshy.ai/openapi/v1/rigging", { method: "POST",

Makes network callslowCapability

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

const riggedRes = await fetch(status.result.rigged_character_glb_url);
all/skills/meshy-auto-rig/SKILL.md · 303 lines

How it starts

The opening of the file, as written. The whole thing — 303 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Meshy Auto-Rigging Skill

Auto-rig 3D character models using the Meshy AI API. Converts static GLB/FBX models into rigged characters with walk and run animations.

When to Use This Skill

  • Converting static 3D models to animated characters
  • Adding skeletal rigging to humanoid models
  • Generating walk/run animation cycles
  • Preparing models for Three.js/React Three Fiber animation
  • Batch processing multiple character models

Prerequisites

  • Meshy API Key: Get one at https://www.meshy.ai/api (free tier available)
  • Input model: GLB or FBX format, ideally a humanoid character in T-pose

Environment Setup

Set your API key before running:

export MESHY_API_KEY="your_key_here"

API Reference

Base URL

https://api.meshy.ai/openapi/v1

Create Rigging Task

Endpoint: POST /rigging

const response = await fetch("https://api.meshy.ai/openapi/v1/rigging", {
  method: "POST",
  headers: {
    Authorization: `Bearer ${MESHY_API_KEY}`,
    "Content-Type": "application/json",
  },
  body: JSON.stringify({
    model_url: modelUrl,  // URL or base64 data URI
    height_meters: 1.7,   // Normalize height (important for consistent scaling)
  }),
});

const { result: taskId } = await response.json();

Parameters:

Parameter Type Required Description
model_url string Yes URL to model or base64 data URI
height_meters number No Target height in meters (normalizes scale)

Poll for Completion

Endpoint: GET /rigging/{taskId}

const status = await fetch(`https://api.meshy.ai/openapi/v1/rigging/${taskId}`, {
  headers: { Authorization: `Bearer ${MESHY_API_KEY}` },
}).then(r => r.json());

Response Fields:

Field Type Description
status string PENDING, IN_PROGRESS, SUCCEEDED, FAILED, EXPIRED
progress number 0-100 completion percentage
result object Contains output URLs on success

Read the full file on GitHub · 303 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. 4d ago First seen · 303 lines · 64 tokens per session scan B c1e215f03d0f

Subscribe to this mod's changes

meshy-auto-rig is a skill published in the GitHub repository fullstacktard/claude-workflow (14 stars, last pushed 5mo ago), licensed MIT. It adds 64 tokens to every session and 2,226 once invoked, about $0.0003 per session on Opus 5. A static security scan graded it B with 2 findings (sends data to an external url, makes network calls). No closer match exists in the catalogue, so it is treated as the original; first seen 2026-09-01.

Related

Other skills, from other repositories

gameobject-component-destroy

Destroy one or more Components from a target GameObject. Missing (null) components are skipped — they cannot be destroyed. Use 'gameobject-find' and 'gameobject-component-get' to identify the components first.

IvanMurzak/Unity-MCP · 49 tokens

unity-version-split

Split a C# file into Unity 6.5+ and pre-Unity 6.5 variants. Use when a file needs different implementations for different Unity versions due to API changes (e.g., EntityId vs int, GetEntityId vs GetInstanceID).

IvanMurzak/Unity-MCP · 59 tokens

unity-addressables

Manage Addressables groups, entries, profiles and content builds (com.unity.addressables, reflection-based).

Besty0728/Unity-Skills · 25 tokens

playtest-report

Generates a structured playtest report template or analyzes existing playtest notes into a structured format. Use this to standardize playtest feedback collection and analysis.

Donchitos/Claude-Code-Game-Studios · 35 tokens

unity-manual-component

Manually add, configure, reorder, and copy components on GameObjects using Unity Editor UI. For one-off Inspector workflows that do not need REST automation.

Besty0728/Unity-Skills · 36 tokens

godot-signals-groups

Build event-driven, decoupled Godot 4.7 gameplay with signals and node groups: declare and emit custom signals, connect with Callables (incl. bind/one-shot), and broadcast to many nodes via groups and callgroup. Use when wiring node communication in a Godot project, replacing tight references with signals…

gamedev-skills/awesome-gamedev-agent-skills · 95 tokens