perf-torch-cuda-graphs
Pass
Audited by Gen Agent Trust Hub on May 17, 2026
Risk Level: SAFE
Full Analysis
- [COMMAND_EXECUTION]: The
scripts/verify_workload.pyscript executes local Python workloads usingsubprocess.runto verify correctness and performance gains. This behavior is consistent with the skill's primary purpose and is used to automate the comparison of original and optimized code. - [EXTERNAL_DOWNLOADS]: The documentation and references point to official NVIDIA and PyTorch domains (e.g., nvidia.com, pytorch.org), which are trusted sources for deep learning and GPU computing documentation.
- [PROMPT_INJECTION]: No prompt injection or safety bypass patterns were identified in the instructions or metadata. The content is technical and strictly focused on performance optimization.
- [CREDENTIALS_UNSAFE]: No hardcoded credentials, secrets, or sensitive file paths were found. The skill follows best practices by instructing users to configure their environment using standard platform flags and environment variables.
Audit Metadata