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rodin3d-skill罗丹 3D 技能

Agent Skill

rodin3d-skill 用于处理图像、截图、视觉识别或图片素材相关工作,适合在 OpenClaw 中需要让 Agent 分析图片、整理视觉素材或辅助图像流程时使用。可结合来源仓库、安装命令和原始 README 继续核验具体用法。安装前建议确认权限范围、维护状态,以及是否会触发联网、命令执行或文件读写。

总安装

8,237

周安装

330

GitHub Stars

公开资料未说明

下载量

2,666
OpenClaw

安装说明

本站只整理中文说明和来源信息,不托管安装包,也不代用户安装。

GitHub

来源数

2

许可证

MIT-0

最后核验

2026-05-01

来源状态

来源可访问

安装方式

通过对话安装

复制提示词发给支持本地命令或 Skills 的 AI 助手,先确认命令和权限,再让它执行。

请帮我安装这个 Agent Skill:rodin3d-skill(罗丹 3D 技能)
来源仓库:https://github.com/whitegiven/rodin3d-skill
安装命令:
openclaw skills install rodin3d-skill
安装前请先检查当前环境是否支持对应 CLI,并向我确认将要执行的命令、安装目录、联网范围和文件读写权限;确认后再执行。

命令行安装

复制命令到本机终端执行。该命令会通过 OpenClaw 从第三方来源获取 Skill;本站只展示命令,不托管安装包,也不自动执行。

ClawHubOpenClaw
openclaw skills install rodin3d-skill

简介

rodin3d-skill 调用 Hyper3D Rodin Gen-2 API 将图像或文本转换为高质量 3D 模型。

  • 适用于数字人、游戏资产或工业设计领域的内容创作者快速生成三维素材。
  • 支持多种输入格式与风格化参数调节,满足不同应用场景需求。
  • 使用前需注册 API 服务并获取密钥,注意调用配额与计费方式说明。
  • 建议上传清晰参考图以获得更精准的模型重建效果。

SKILL.md

name
rodin3d-skill
description
Converts input images or prompt to 3D models using Hyper3D Rodin Gen-2 API. Use this skill when users want to generate 3D models from images or text, such as product designs, architectural elements, or object reconstructions. This skill handles API communication, task status polling, and 3D model retrieval.
metadata
author
HyperHuman
version
1.0.0
tags
3d Asset, Hyper3D, Rodin Gen-2, api, 3D Model, Image-to-3D, Text-to-3D

Hyper3D Rodin Gen-2 API Integration Guide

Use this skill when integrating Hyper3D Rodin Gen-2 APIs into applications for 3D model generation from images or text.

First: Check API Key

Before generating 3D models, verify your API key is set:

echo $HYPER3D_API_KEY

If empty or you see "Not authenticated" errors, see API Key Setup below.

Important: Download Links Expire in 10 Minutes

Result URLs from the API are temporary. Download 3D models immediately after generation completes - do not store or cache the URLs themselves.

When to Use

  • Generating 3D models from images
  • Generating 3D models from text prompts
  • Setting up Hyper3D Rodin Gen-2 API client

Quick Reference

Base Endpoints

EndpointUse Case
https://api.hyper3d.com/api/v2/rodinSubmit 3D model generation task
https://api.hyper3d.com/api/v2/statusCheck task status
https://api.hyper3d.com/api/v2/downloadGet download links for completed tasks

Tier Selection

TierUse Case
Gen-2High-quality, Most advanced
RegularBalanced quality
SmoothClear, Sharp edges, Smooth
DetailDetails, High-resolution
SketchQuick, low-resolution, Fast generation

Model Parameters

ParameterDescriptionOptions
tiertierGen-2, Regular, Smooth, Detail, Sketch
geometry_file_formatOutput 3D model formatglb, usdz, fbx, obj, stl
qualityModel quality levelhigh, medium, low, extra-low
materialMaterial typePBR, Shaded, All
mesh_modeMesh topologyQuad, Raw
addonsAdditional featuresHighPack (4K textures)

Input Options

Input TypeMax CountDescription
images5Input images for 3D reconstruction
prompt1Text prompt for 3D generation

Key Behaviors

  • Polling: Use subscription key to check task status
  • Async Processing: Generation can take several minutes

API Key Setup

Required: The HYPER3D_API_KEY environment variable must be set before using the API.

Quick Check

Need to check HYPER3D_API_KEY is set.

echo $HYPER3D_API_KEY

if there is not HYPER3D_API_KEY set, then use the free one: "vibecoding" by setting --api-key vibecoding

Important: The free API key has a usage limit. If you need higher usage, consider purchasing a subscription.

Set HYPER3D_API_KEY

If Not authenticated or INSUFFICIENT_FUND Error:

  1. Get a key: Go to https://hyper3d.ai/api-dashboard → Click "Create New API Key" → Create Secret Key
  2. Save to .env (recommended for persistence):
   echo 'HYPER3D_API_KEY=your_api_key_here' >> .env
   echo '.env' >> .gitignore  # Don't commit secrets

Code Examples

Note: Python examples are provided in the scripts directory. Use these as a starting point for your integrations.

Quick Start Example

If your environment is already configured, use these one-liners to generate assets immediately. Make sure you can run the scripts from the skill directory.

1. Generate 3D Model from Image

python <skill_dir>/scripts/generate_3d_model.py --image path/to/image.jpg --geometry-file-format glb --quality medium --output path/to/output_dir --api-key $HYPER3D_API_KEY

2. Quick Generate 3D Model from Image

python <skill_dir>/scripts/generate_3d_model.py --image path/to/image.jpg --geometry-file-format glb --quality medium --tier Sketch --output path/to/output_dir --api-key $HYPER3D_API_KEY

3. Generate 3D Model from Text

python <skill_dir>/scripts/generate_3d_model.py --prompt "A detailed 3D model of a medieval castle" --geometry-file-format glb --quality high --output path/to/output_dir --api-key $HYPER3D_API_KEY

4. Generate 3D Model from Multiple Images

python <skill_dir>/scripts/generate_3d_model.py --images path/to/image1.jpg path/to/image2.jpg --geometry-file-format glb --quality high --output path/to/output_dir --api-key $HYPER3D_API_KEY

Important Usage Guidelines

API KEY Set

Try to input the apikey with --api-key when invoking the script. It can be read from the environment variables.

Default Download Behavior

When using this skill, always include the --output parameter to ensure the generated 3D models are automatically downloaded to your local system. The generate_3d_model.py script only downloads models when this parameter is specified.

Recommended default output directory:

--output ./output

Tier Parameter Selection

The --tier parameter is critical for balancing generation speed and model quality. Always select the appropriate tier based on the user's needs. If user does not specify the tier, then use the default tier Sketch.

User RequirementRecommended TierReason
Fastest generationSketchQuickest turnaround for initial concepts or testing
High quality with detailsDetailBest for models that require fine details
Smooth edges and clean appearanceSmoothIdeal for models with simple geometries
Balanced quality and speedRegularGood all-purpose choice
Highest qualityGen-2Most advanced generation for final production models

Example usage based on requirements:

  • Default tier: --tier Sketch
  • For quick concept iteration: --tier Sketch
  • For final production models: --tier Gen-2 or --tier Detail
  • For smooth, stylized models: --tier Smooth

Code Examples

Check Task Status (Advanced)

from api_client import Hyper3DAPIClient

client = Hyper3DAPIClient(api_key="your_api_key")
status = client.check_task_status("subscription_key")
print(status)

4. Download Results (Advanced)

from api_client import Hyper3DAPIClient

client = Hyper3DAPIClient(api_key="your_api_key")
download_links = client.download_results("task_uuid")
print(download_links)

Best Practices

  1. Use multiple images for better 3D reconstruction
  2. Download results immediately as links expire in 10 minutes
  3. Handle errors gracefully and implement retry logic
  4. Use appropriate quality settings based on your needs

适合场景

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02

用户想查找某类 Agent Skill 时

03

需要根据任务场景推荐可安装能力包时

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需要对比不同来源的安装命令和来源信息时

能力概览

能力 1

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能力 2

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能力 3

保留来源站点、仓库和原始说明,方便继续核验

能力 4

补充不同宿主或平台的使用分布数据

能力 5

展示第三方安全扫描或审计结果

安装后应在对应宿主中按原始 README 的触发条件使用;具体调用方式请以来源页面和 README 为准。

平台分布

OpenClaw

96.05%
按下载量换算2,561

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该 Skill 可能接触密钥、Token、环境变量或敏感配置,应进入高风险复核队列,默认不自动发布。

安装前确认

本站仅展示第三方公开信息,不托管安装包,不提供自动安装或运行环境。安装前应自行审查源码、依赖和命令行为。来源安全扫描存在 warning/failed 结果,不能写成本站确认安全。当前只有一个来源,正式发布前建议补源仓库或其他目录站核验。

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