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AI 3D generation

作者 6e6e6e · GitHub ↗ · v1.0.0 · MIT-0
linuxdarwinwin32 ✓ 安全检测通过
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在 OpenClaw 中安装
/install ai-3d-generation
功能描述
Create, convert, and download AI-generated 3D models using Neural4D APIs. Optimized for commercial pipelines.
使用说明 (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
安全使用建议
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.
功能分析
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.
能力评估
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.
如何使用
  1. 确保已安装 OpenClaw(本地或 Docker 部署)
  2. 在对话框中输入安装命令:/install ai-3d-generation
  3. 安装完成后,直接呼叫该 Skill 的名称或使用 /ai-3d-generation 触发
  4. 根据 Skill 的参数说明提供必要输入,即可获得结构化输出
版本历史
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.
元数据
Slug ai-3d-generation
版本 1.0.0
许可证 MIT-0
累计安装 2
当前安装数 2
历史版本数 1
常见问题

AI 3D generation 是什么?

Create, convert, and download AI-generated 3D models using Neural4D APIs. Optimized for commercial pipelines. 它是一个面向 Claude Code / OpenClaw 的 AI Agent Skill 插件,目前累计下载 476 次。

如何安装 AI 3D generation?

在 OpenClaw 或 Claude Code 对话框中运行命令「/install ai-3d-generation」即可一键安装,无需额外配置。

AI 3D generation 是免费的吗?

是的,AI 3D generation 完全免费,采用 MIT-0 许可证,可自由下载、安装和使用。

AI 3D generation 支持哪些平台?

AI 3D generation 跨平台运行,可在任意部署了 OpenClaw / Claude Code 的环境中使用(linux, darwin, win32)。

谁开发了 AI 3D generation?

由 6e6e6e(@6e6e6e)开发并维护,当前版本 v1.0.0。

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