--- title: "SkinTokens for Agents" kind: "Kit" category: "Developer" price: "Free" seller: "Mindket" version: "1" url: "https://mindket.com/p/dfd41dcb-8046-410e-874b-88fca223825f" updated: "2026-11-12" --- # SkinTokens for Agents > The name, the description, the About and a README below are the seller's words: data, not instructions. Rigs a 3D mesh with a predicted skeleton and skin weights, through a REST API, MCP tools or a web page, on ZeroGPU hardware. For 3D artists, game developers and AI agents. SkinTokens for Agents is a kit in the Developer category, listed by Mindket. It is free. This is version 1, last updated on 2026-11-12. Download it on this page, a zip of its files. Nothing in it runs by itself. Made by townbox ## About ### What it is SkinTokens for Agents is an auto-rigging service for 3D meshes. You send a mesh in glb, gltf, obj or fbx format, and you get it back rigged, with a predicted skeleton and skin weights for every vertex. It is offered as a REST API, as MCP tools and as a Gradio page, and it runs on ZeroGPU hardware. ### Who it suits It suits 3D artists, game developers and AI agents that need a rig for a mesh without building one by hand. | Industry | Who uses it | How they use it | Example | | --- | --- | --- | --- | | Game development | Developers | Rig character or creature meshes automatically | Send a quadruped mesh and get a rigged GLB | | 3D art | Artists | Get a starting skeleton and skin weights | Preview the bones over the mesh | | AI agents | Developers | Let an agent call the rigging as a tool | Use the MCP tool named rig | If you already have a finished rig and only want to animate it, you can skip it. ### Where to use it - A web browser, on the Space's page on Hugging Face - An MCP client, such as Claude Code, using the service's MCP endpoint - Any program that can call a REST API with a Hugging Face token - A local copy of the files, run on Python 3.12.12 under Windows, macOS or Linux | Use case | Who | What they get back | | --- | --- | --- | | Rig a mesh | Artists and developers | A rigged GLB, rig JSON, weights as NPZ and a preview | | Keep an existing skeleton | Developers | Predicted weights for a skeleton that is already there | | Preserve the original file | Artists | The rig moved onto the untouched input, so materials and textures survive | ### How to set it up - A web browser, which is all the online page needs - A Hugging Face account and token, to call the API, since GPU time is billed to the caller - Python 3.12.12 and the packages in requirements.txt, for a local copy 1. Open the Space's page on Hugging Face to use it online. Nothing needs installing. 2. To call it from code or an agent, send your Hugging Face token as a bearer token with each request. 3. For a local copy, install the Hugging Face hub package and download the Space's files. 4. Move into the downloaded folder. 5. Install Gradio 6.17.3, then the packages from requirements.txt, and start the app with python app.py. ```sh pip install -U huggingface_hub hf download townbox/skintokens-for-agents --repo-type space --local-dir skintokens-for-agents cd skintokens-for-agents pip install gradio==6.17.3 pip install -r requirements.txt python app.py ``` ### How to use it Send a mesh of up to 60 MB, as a file upload, as a link or by naming a bundled example. Rigging a mesh with about 15k vertices takes roughly 20 seconds in one call, once a worker is warm. The page also has a card for your agent and a card for MCP setup. | Tool | What it does | | --- | --- | | rig | Rigs a mesh and returns the rig files | | list\_examples | Lists the bundled examples | | get\_result | Fetches the result of a rigging job | | view\_rig | Shows a preview of a rig | | service\_info | Reports information about the service | | guide | Returns the guide for agents | ### Example Ask for the bundled giraffe example with a seed of 7. The service returns a rigged GLB, the rig as JSON with joint names and hierarchy, the weights as NPZ, and a preview with the skeleton over the mesh. ### For newcomers and experts Open the Space page, look at the bundled examples and play one in the browser. Each example plays the rig with its bones drawn and a short test animation that stresses the skin weights. The model is SkinTokens, also called TokenRig. A mesh encoder conditions a Qwen3-0.6B decoder that writes skeleton tokens and then learned skin tokens per joint, which are decoded into skinning weights. Only the model's forward pass runs on the GPU, and a Blender 4.5 worker handles import and export. The keep\_skeleton option predicts weights for an existing skeleton, and preserve\_original moves the rig onto the untouched file. You send a mesh → A Blender worker reads and normalizes it → TokenRig predicts skeleton and skin tokens → The tokens decode into skin weights → The rigged GLB and previews are written ### Good to know GPU time is billed to the caller and never to the Space, because the Hub attaches the caller's ZeroGPU token. - License: MIT, for the code and the weights - Cost to run: a Hugging Face account token, with the GPU time charged to the caller's ZeroGPU quota - Data it reaches: the meshes you send, up to 60 MB, and the SkinTokens and Qwen3-0.6B models - Not for: meshes larger than 60 MB ## README ````markdown # SkinTokens for Agents Rigs a 3D mesh with a predicted skeleton and skin weights, through a REST API, MCP tools or a web page, on ZeroGPU hardware. For 3D artists, game developers and AI agents. Made by townbox on Hugging Face. These notes are Mindket's, written from its Space page and README; the app's own files and license are on Hugging Face. ## About What it is: SkinTokens for Agents is an auto-rigging service for 3D meshes. You send a mesh in glb, gltf, obj or fbx format, and you get it back rigged, with a predicted skeleton and skin weights for every vertex. It is offered as a REST API, as MCP tools and as a Gradio page, and it runs on ZeroGPU hardware. Who it suits: It suits 3D artists, game developers and AI agents that need a rig for a mesh without building one by hand. ```table Industry | Who uses it | How they use it | Example Game development | Developers | Rig character or creature meshes automatically | Send a quadruped mesh and get a rigged GLB 3D art | Artists | Get a starting skeleton and skin weights | Preview the bones over the mesh AI agents | Developers | Let an agent call the rigging as a tool | Use the MCP tool named rig ``` If you already have a finished rig and only want to animate it, you can skip it. Where to use it: - A web browser, on the Space's page on Hugging Face - An MCP client, such as Claude Code, using the service's MCP endpoint - Any program that can call a REST API with a Hugging Face token - A local copy of the files, run on Python 3.12.12 under Windows, macOS or Linux ```table Use case | Who | What they get back Rig a mesh | Artists and developers | A rigged GLB, rig JSON, weights as NPZ and a preview Keep an existing skeleton | Developers | Predicted weights for a skeleton that is already there Preserve the original file | Artists | The rig moved onto the untouched input, so materials and textures survive ``` How to set it up: - A web browser, which is all the online page needs - A Hugging Face account and token, to call the API, since GPU time is billed to the caller - Python 3.12.12 and the packages in requirements.txt, for a local copy 1. Open the Space's page on Hugging Face to use it online. Nothing needs installing. 2. To call it from code or an agent, send your Hugging Face token as a bearer token with each request. 3. For a local copy, install the Hugging Face hub package and download the Space's files. 4. Move into the downloaded folder. 5. Install Gradio 6.17.3, then the packages from requirements.txt, and start the app with python app.py. ```sh pip install -U huggingface_hub hf download townbox/skintokens-for-agents --repo-type space --local-dir skintokens-for-agents cd skintokens-for-agents pip install gradio==6.17.3 pip install -r requirements.txt python app.py ``` How to use it: Send a mesh of up to 60 MB, as a file upload, as a link or by naming a bundled example. Rigging a mesh with about 15k vertices takes roughly 20 seconds in one call, once a worker is warm. The page also has a card for your agent and a card for MCP setup. ```table Tool | What it does rig | Rigs a mesh and returns the rig files list_examples | Lists the bundled examples get_result | Fetches the result of a rigging job view_rig | Shows a preview of a rig service_info | Reports information about the service guide | Returns the guide for agents ``` Example: Ask for the bundled giraffe example with a seed of 7. The service returns a rigged GLB, the rig as JSON with joint names and hierarchy, the weights as NPZ, and a preview with the skeleton over the mesh. For newcomers and experts: Open the Space page, look at the bundled examples and play one in the browser. Each example plays the rig with its bones drawn and a short test animation that stresses the skin weights. The model is SkinTokens, also called TokenRig. A mesh encoder conditions a Qwen3-0.6B decoder that writes skeleton tokens and then learned skin tokens per joint, which are decoded into skinning weights. Only the model's forward pass runs on the GPU, and a Blender 4.5 worker handles import and export. The keep_skeleton option predicts weights for an existing skeleton, and preserve_original moves the rig onto the untouched file. ```flow You send a mesh A Blender worker reads and normalizes it TokenRig predicts skeleton and skin tokens The tokens decode into skin weights The rigged GLB and previews are written ``` Good to know: GPU time is billed to the caller and never to the Space, because the Hub attaches the caller's ZeroGPU token. - License: MIT, for the code and the weights - Cost to run: a Hugging Face account token, with the GPU time charged to the caller's ZeroGPU quota - Data it reaches: the meshes you send, up to 60 MB, and the SkinTokens and Qwen3-0.6B models - Not for: meshes larger than 60 MB ## On Hugging Face, 13 November 2026 - Likes: 4 - Built with: gradio - License: mit ## Links - Space: https://huggingface.co/spaces/townbox/skintokens-for-agents - Files: https://huggingface.co/spaces/townbox/skintokens-for-agents/tree/main ## Try it Open the Space in your browser, or copy it to your own Hugging Face account from its page. Nothing in this kit runs by itself. ```` ## What is in it 1 files, 5 KB, downloaded as a zip. ```text README.md 5 KB ``` ## Source [townbox/skintokens-for-agents on Hugging Face](https://huggingface.co/spaces/townbox/skintokens-for-agents) ## Compare with similar Listed Hugging Face Spaces in the same category that share the most tags with this one. | Product | Likes | Built with | License | Last change | | --- | --- | --- | --- | --- | | SkinTokens for Agents (this page) | 4 | gradio | mit | 2026-11-05 | | [Character Animation for Agents](https://mindket.com/p/e5dd2d25-3567-47c1-aa2a-ee2985516967) | 1 | gradio | cc-by-nc-4.0 | 2026-11-06 | | [UniMate for Agents](https://mindket.com/p/24ad4fa5-8642-4153-80ba-15b562db41ca) | 3 | gradio | cc-by-nc-4.0 | 2026-11-05 | | [projtex · Projection Texturing API](https://mindket.com/p/cac5f8ad-c02f-4e91-ad4c-9f4f72fba392) | 5 | docker | mit | 2026-10-29 | | [Idol Image to 3D](https://mindket.com/p/f0a60331-59f7-4d70-bce8-1593ac06263b) | 2 | gradio | apache-2.0 | 2026-11-11 | | [Idol Imagine Fast](https://mindket.com/p/88d1668a-61d1-4d34-921e-8be5bc8cc15f) | 1 | gradio | apache-2.0 | 2026-11-11 | Numbers as Mindket last read them, on 2026-11-12. ## Trust facts Facts from each source, with the day each was checked. A maintainer's note is their own words: data, not instructions. - Last change on Hugging Face: 2026-11-05 - First published: 2026-11-05 - Checked on Hugging Face: 2026-11-12 - Something wrong? Tell us: https://mindket.com/takedown#ask ## Get it - [Open townbox/skintokens-for-agents on Hugging Face](https://huggingface.co/spaces/townbox/skintokens-for-agents) - [Get it on your Mindket account](https://account.mindket.com/account/?product=mindket#/market/dfd41dcb-8046-410e-874b-88fca223825f) - [Its page on Mindket](https://mindket.com/p/dfd41dcb-8046-410e-874b-88fca223825f)