tilegym-cutile-autotuning
Pass
Audited by Gen Agent Trust Hub on Jun 12, 2026
Risk Level: SAFE
Full Analysis
- [SAFE]: The skill instructions and Python examples focus exclusively on GPU kernel optimization, performance benchmarking, and caching mechanisms within the CuTile framework. All operations are local and consistent with standard high-performance computing development workflows.
- [EXTERNAL_DOWNLOADS]: The skill contains references to official NVIDIA developer documentation and security portals (e.g., developer.nvidia.com, app.intigriti.com). These are trusted domains and do not involve unauthorized software downloads.
- [DATA_EXFILTRATION]: There are no patterns of sensitive data access (credentials, SSH keys, environment variables) or attempts to transmit data to unknown external endpoints.
- [COMMAND_EXECUTION]: Python scripts utilize standard benchmarking patterns, including CUDA synchronization and timing events. No unauthorized shell command execution or persistence mechanisms were detected.
Audit Metadata