← Back to Skills Marketplace
187
Downloads
1
Stars
0
Active Installs
2
Versions
Install in OpenClaw
/install meshy-3d-agent
Description
Generate 3D models, textures, images, rig characters, animate them, and prepare for 3D printing using the Meshy AI API. Handles API key detection, task creat...
Usage Guidance
This skill is internally consistent: it only needs an API key for Meshy, Python + requests, and curl to call the Meshy REST API and save outputs locally. Before installing: (1) confirm what the platform's 'uv' installer will run (ensure it is just installing the requests package), (2) be cautious about persisting MESHY_API_KEY to a .env file — only do so if you understand the project-level secret storage risk and add .env to .gitignore, and (3) verify you trust https://api.meshy.ai because any requests to that endpoint will include your API key. If you prefer not to persist the key, keep it set only in the session environment. If you want more assurance, request the exact install steps that will run for the 'uv' installer and proof that no other network endpoints are contacted.
Capability Analysis
Type: OpenClaw Skill
Name: meshy-3d-agent
Version: 0.1.1
The meshy-3d-agent bundle provides a legitimate and well-documented integration with the Meshy AI API for 3D model generation, rigging, and printing. It includes structured Python templates for handling asynchronous API tasks, local file organization in a dedicated output folder, and geometric transformations for 3D printing (SKILL.md). The bundle demonstrates security-conscious design by explicitly instructing the agent to limit environment variable and file system access to the current working directory and ensuring sensitive files like .env are added to .gitignore. No evidence of malicious intent, data exfiltration, or unauthorized execution was found.
Capability Assessment
Purpose & Capability
Name/description (3D generation, text/image→3D, rigging, printing) align with the declared requirements: python3 + curl, a single service API key (MESHY_API_KEY), and the requests library. No unrelated cloud creds, system config paths, or unusual binaries are requested.
Instruction Scope
SKILL.md explicitly limits environment/file access to the current session env and a .env in the current working directory, plus files the user explicitly provides. It documents network endpoints (api.meshy.ai) and describes create→poll→download flows. The only scope caveat is that persisting the API key to .env (allowed only when the user requests it) will store secrets on disk — the skill documents this and recommends adding .env to .gitignore.
Install Mechanism
Install spec lists a single dependency (requests). This is proportionate. The installer kind is shown as 'uv' which is uncommon/ambiguous in the metadata — likely intended to ensure requests is available (pip install requests), but you should confirm what the platform's 'uv' install step will actually execute before allowing installation.
Credentials
Only one credential (MESHY_API_KEY) is required and declared as the primary credential. The SKILL.md explains how the key is used (Authorization header) and restricts where it will be read/written (current working directory .env only). This is proportionate to the skill's purpose. Note: writing the key to .env is optional but would persist the secret on disk — follow the guidance to add .env to .gitignore if you persist it.
Persistence & Privilege
Skill is not always-enabled and uses normal autonomous-invocation defaults. It does not request system-wide config changes, other skills' configs, or access to system-protected paths. It will create a meshy_output/ directory in the current working directory to store outputs, which is reasonable for this functionality.
How to Use
- Make sure OpenClaw is installed (local or Docker)
- Run the install command in chat:
/install meshy-3d-agent - After installation, invoke the skill by name or use
/meshy-3d-agent - Provide required inputs per the skill's parameter spec and get structured output
Version History
v0.1.1
- Expand 3D printing slicer integration
- Add model post-processing for 3D printing
- Support any user-specified slicer software (Bambu Studio, OrcaSlicer, Creality Print, PrusaSlicer, Cura, etc.)
v0.1.0
Meshy 3D Agent initial release — generate, refine, rig, animate, and prepare 3D models for printing using the Meshy AI API.
- Supports full 3D asset pipeline: model generation, texturing, rigging, animation, and Bambu Studio 3D print prep.
- Handles API key detection/setup, including secure storage and verification.
- Enforces organized file structure in `meshy_output/` directory; maintains per-project and global history.
- Provides detailed session notices and upfront credit usage summaries before actions.
- Compatible with Python 3, OpenClaw, and standard POSIX shell tools.
- Secure API usage: environment variable and `.env` detection only in current directory; never leaks credentials.
Metadata
Frequently Asked Questions
What is Meshy 3D Agent?
Generate 3D models, textures, images, rig characters, animate them, and prepare for 3D printing using the Meshy AI API. Handles API key detection, task creat... It is an AI Agent Skill for Claude Code / OpenClaw, with 187 downloads so far.
How do I install Meshy 3D Agent?
Run "/install meshy-3d-agent" in the OpenClaw or Claude Code chat to install it in one step — no extra setup required.
Is Meshy 3D Agent free?
Yes, Meshy 3D Agent is completely free, licensed under MIT-0. You can download, install and use it at no cost.
Which platforms does Meshy 3D Agent support?
Meshy 3D Agent is cross-platform and runs anywhere OpenClaw / Claude Code is available (cross-platform).
Who created Meshy 3D Agent?
It is built and maintained by Arlieeee (@arlieeee); the current version is v0.1.1.
More Skills