cuda-interop
Pass
Audited by Gen Agent Trust Hub on Sep 1, 2026
Risk Level: SAFE
Full Analysis
- [SAFE]: The skill provides technical guidelines for CUDA buffer allocation, pitch alignment, and synchronization patterns using the
ovstreamSDK. The instructions are consistent with standard GPU programming practices. - [EXTERNAL_DOWNLOADS]: The documentation references well-known and reputable external libraries including CuPy (cupy.dev), PyCUDA, and NVIDIA Warp (developer.nvidia.com) as high-level alternatives for GPU buffer management. These references point to official project sites.
- [DYNAMIC_EXECUTION]: The skill describes using
ctypesto load bundled native libraries (cudart64_*.dllorlibcudart.so) found via SDK-specific discovery methods. This is a standard and expected pattern for Python-based SDKs interfacing with native high-performance components.
Audit Metadata