cutile-autotuning
Pass
Audited by Gen Agent Trust Hub on May 17, 2026
Risk Level: SAFE
Full Analysis
- [SAFE]: No security threats or malicious patterns were identified. The skill's instructions and provided Python examples are strictly focused on performance tuning for GPU kernels.\n- [COMMAND_EXECUTION]: The skill uses standard JIT compilation and execution mechanisms for CUDA kernels. This is necessary for the autotuning process, where different kernel configurations are compiled and benchmarked at runtime to find the optimal version. All such operations are transparent and tied to the CuTile library functionality.
Audit Metadata