optimize-for-gpu
Pass
Audited by Gen Agent Trust Hub on Apr 16, 2026
Risk Level: SAFE
Full Analysis
- [SAFE]: The skill provides documentation and instructions for using legitimate NVIDIA libraries (such as CuPy, cuDF, and cuML) to accelerate Python workloads. All functionality is consistent with the stated goal of GPU optimization.
- [EXTERNAL_DOWNLOADS]: The skill recommends installing official NVIDIA packages from the official index
https://pypi.nvidia.com. These references are documented neutrally as standard installation procedures. - [COMMAND_EXECUTION]: The code examples provided demonstrate standard usage of the RAPIDS ecosystem for data processing, machine learning, and simulation. There is no evidence of arbitrary or unauthorized command execution.
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