add-sgl-kernel
Pass
Audited by Gen Agent Trust Hub on Apr 28, 2026
Risk Level: SAFE
Full Analysis
- [SAFE]: The skill serves as a technical tutorial for developers, providing clear and standard instructions for extending the sgl-kernel library with new CUDA operations.
- [SAFE]: Code snippets provided (CUDA, C++, and Python) are typical for high-performance computing and do not contain any obfuscated or malicious logic.
- [SAFE]: The development workflow described, including the use of CMake, PyTorch extensions, and standard testing tools like pytest, adheres to established software engineering best practices.
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