Ai Intelligent 3d Model Generation
Security checks across static analysis, malware telemetry, and agentic risk
Overview
This skill is mostly a brief, instruction-only description, but users should verify the external GitHub code before running its setup commands.
This appears to be a simple descriptive skill rather than a complete reviewed implementation. Before installing, verify the referenced GitHub repository and run any Python commands in an isolated environment.
Static analysis
No static analysis findings were reported for this release.
VirusTotal
VirusTotal findings are pending for this skill version.
Risk analysis
Artifact-based informational review of SKILL.md, metadata, install specs, static scan signals, and capability signals. ClawScan does not execute the skill or run runtime probes.
If the user follows these setup commands, they may execute code and install dependencies that were not checked in this review.
The skill tells the user to fetch and run code from an external repository, but the reviewed artifact set contains only SKILL.md and skill.json, so the referenced requirements.txt and app.py were not available for review.
git clone https://github.com/openclaw-skills/ai-intelligent-3d-model-generation cd ai-intelligent-3d-model-generation pip install -r requirements.txt python app.py
Inspect the GitHub repository, requirements file, and app.py before running them; prefer pinned dependencies and a trusted source.
Running the setup may modify the local Python environment and execute the downloaded app.
The documented setup includes package installation and running a local Python application. This is expected for a Python/FastAPI 3D generation service, but it is still local code execution from files not included in the package.
pip install -r requirements.txt python app.py
Run it only in a controlled environment such as a virtual environment or container, and review the code first.