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6e6e6e

AI 3D generation

by 6e6e6e · GitHub ↗ · v1.0.0 · MIT-0
linuxdarwinwin32 ✓ Security Clean
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Install in OpenClaw
/install ai-3d-generation
Description
Create, convert, and download AI-generated 3D models using Neural4D APIs. Optimized for commercial pipelines.
README (SKILL.md)

Setup

On first use, ensure the NEURAL4D_API_TOKEN environment variable is set. All API requests must include the header: Authorization: Bearer \x3CYOUR_TOKEN>.

When to Use

Use this skill when generating 3D models from text prompts or images using DreamTech's Neural4D engine. This is particularly suited for creating assets where precise format conversions (like .stl, .obj, .fbx) and physical dimensions are required for manufacturing workflows.

Core Rules & Cost Guardrails

1. Point Consumption Awareness

Always track API point costs before executing bulk runs:

  • Text to 3D: 20 points per operation.
  • Image to 3D: 20 points per operation.
  • Chibi-style Generation: 30 points per operation.
  • Format Conversion: 10 points per operation.
  • You can query the remaining balance at /api/queryPointsInfo.

2. Asynchronous Polling Contract

Model generation is asynchronous. You must poll for completion:

  • Query /api/retrieveModel using the uuid.
  • Check codeStatus:
    • 0: Generation complete.
    • 1: Generating (Wait and poll again).
    • -3: Generation failed.

Workflow Pipelines

Pipeline A: Text to 3D

  1. Request: POST https://alb.neural4d.com:3000/api/generateModelWithText.
    • Payload: {"prompt": "...", "modelCount": 4, "disablePbr": 0}.
  2. Retrieve: Extract uuids from the response.
  3. Poll: Call /api/retrieveModel with the uuid until codeStatus is 0.
  4. Download: Extract modelUrl and download the .glb asset.

Pipeline B: Image to 3D (Strict 3-Step Process)

  1. Matting: Submit the image (JPG/PNG, \x3C10MB, 256x256 to 6048x8064) via multipart/form-data to /api/mattingImage. Extract the requestId.
  2. Get Matting Result: Send the requestId to /api/getMattedResult. Extract a preferred fileKey from the response.
  3. Generate: Send the fileKey to /api/generateModelWithImage to start generation and receive uuids.
  4. Poll: Use /api/retrieveModel to poll status and get the modelUrl.

Pipeline C: Format Conversion for Manufacturing

For physical prototyping, default exports must be converted from .glb.

  1. Request: POST https://alb.neural4d.com:3000/api/convertToFormat.
  2. Payload: Provide the uuid, desired modelType (e.g., stl, fbx, obj), and modelSize in millimeters (must be > 1).
  3. Poll Status: Check statusType:
    • 0: Complete, use modelUrl to download.
    • 1: Converting (Wait and retry).
    • -1: Failed or bad parameters.

External Endpoints Reference

All requests route through the base URL: https://alb.neural4d.com:3000/api.

Action Endpoint Auth Purpose
Text to 3D /generateModelWithText Bearer Token Generate from text prompt
Retrieve /retrieveModel Bearer Token Poll status and get model URL
Matting /mattingImage Bearer Token Pre-process image
Matting Result /getMattedResult Bearer Token Retrieve file keys for image generation
Image to 3D /generateModelWithImage Bearer Token Generate from matted fileKey
Convert Format /convertToFormat Bearer Token Convert to stl/fbx/obj with physical size
Job Progress /queryJobProgress Bearer Token Check percentage progress
Usage Guidance
This skill is instruction-only and appears to do what it says: call Neural4D endpoints to generate and convert 3D assets. Before installing, confirm the API host (https://alb.neural4d.com:3000) is the legitimate service you expect, and avoid putting a high-privilege/shared token in a global environment variable — prefer a dedicated API token with limited quota. Expect the skill to upload images and download model files to the configured ~/neural4d-3d-generation/ directory; ensure you are comfortable with that directory being used. Monitor API usage (the skill warns about point costs) and test with a small/limited token or sandbox account first. If you need stronger assurance, ask the publisher for a homepage or documentation and verify the domain and service ownership.
Capability Analysis
Type: OpenClaw Skill Name: ai-3d-generation Version: 1.0.0 The skill bundle provides legitimate instructions for interacting with the Neural4D API to generate and convert 3D models. It uses standard API patterns (Bearer tokens, polling, and multipart uploads) and does not contain any evidence of data exfiltration, malicious execution, or prompt injection attacks. All external communication is directed to a specific domain (alb.neural4d.com:3000) consistent with the skill's stated purpose.
Capability Assessment
Purpose & Capability
Name/description (AI 3D generation via Neural4D) align with the SKILL.md: endpoints, async polling, matting and conversion pipelines, and downloading model URLs. Required binaries (curl, jq) are reasonable for an instruction-only HTTP-based integration. The declared config path (~/neural4d-3d-generation/) is plausible for storing model artifacts. Minor note: the registry metadata lists no required env vars but the SKILL.md expects an optional NEURAL4D_API_TOKEN; this is a small metadata/optional-credential mismatch, not functional incoherence.
Instruction Scope
The instructions confine operations to calling Neural4D endpoints, polling job status, uploading images for matting, and downloading model files. They do not instruct the agent to read unrelated files, search system state, or send data to unexpected endpoints. All external network activity is targeted at the documented base URL.
Install Mechanism
No install spec or code files — instruction-only — so nothing will be written or executed on disk by an installer. This is the lowest-risk install model.
Credentials
The only credential mentioned is NEURAL4D_API_TOKEN (documented in SKILL.md as required for API calls and marked optional in metadata). That single API token is proportional to making authenticated requests. The skill requests a configuration directory for storing artifacts; this is reasonable but means filesystem write/read permissions will be used in that path. There are no unrelated secrets or multiple credentials requested.
Persistence & Privilege
The skill does not request always:true and is user-invocable. It does not claim to modify other skills or system-wide settings. No persistent installation steps are defined.
How to Use
  1. Make sure OpenClaw is installed (local or Docker)
  2. Run the install command in chat: /install ai-3d-generation
  3. After installation, invoke the skill by name or use /ai-3d-generation
  4. Provide required inputs per the skill's parameter spec and get structured output
Version History
v1.0.0
Initial release of AI 3D Generation. - Generate 3D models from text prompts or images using Neural4D APIs. - Supports image matting and image-to-3D workflow. - Enable format conversion to STL, FBX, GLB, OBJ or USDZ for manufacturing pipelines. - Includes point consumption tracking and asynchronous polling for job completion.
Metadata
Slug ai-3d-generation
Version 1.0.0
License MIT-0
All-time Installs 2
Active Installs 2
Total Versions 1
Frequently Asked Questions

What is AI 3D generation?

Create, convert, and download AI-generated 3D models using Neural4D APIs. Optimized for commercial pipelines. It is an AI Agent Skill for Claude Code / OpenClaw, with 476 downloads so far.

How do I install AI 3D generation?

Run "/install ai-3d-generation" in the OpenClaw or Claude Code chat to install it in one step — no extra setup required.

Is AI 3D generation free?

Yes, AI 3D generation is completely free, licensed under MIT-0. You can download, install and use it at no cost.

Which platforms does AI 3D generation support?

AI 3D generation is cross-platform and runs anywhere OpenClaw / Claude Code is available (linux, darwin, win32).

Who created AI 3D generation?

It is built and maintained by 6e6e6e (@6e6e6e); the current version is v1.0.0.

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