optimize-for-gpu
Pass
Audited by Gen Agent Trust Hub on Sep 25, 2026
Risk Level: SAFEEXTERNAL_DOWNLOADSDYNAMIC_EXECUTIONINDIRECT_PROMPT_INJECTIONCREDENTIALS_UNSAFE
Full Analysis
- [EXTERNAL_DOWNLOADS]: The skill instructs the use of the
uvpackage manager to fetch libraries from official sources, including PyPI and the NVIDIA package registry at pypi.nvidia.com.\n- [DYNAMIC_EXECUTION]: The skill utilizes JIT (Just-In-Time) compilation through Numba CUDA, NVIDIA Warp, and CuPy to generate high-performance GPU kernels from Python code. This runtime compilation is the primary intended functionality for GPU optimization.\n- [INDIRECT_PROMPT_INJECTION]: The skill includes patterns for ingesting and processing external data from sources such as S3 buckets and HTTP endpoints.\n - Ingestion points: Data entering via
kvikio.RemoteFile.open_httpandcudf.read_parquet.\n - Boundary markers: None explicitly defined for the data being processed.\n
- Capability inventory: JIT kernel compilation via
numba.cuda.jitand file writing withkvikio.CuFile.write.\n - Sanitization: No specific sanitization or validation steps are mentioned for external data inputs.\n- [CREDENTIALS_UNSAFE]: The skill correctly advises users to manage sensitive credentials, such as AWS access keys for S3 access, through environment variables rather than hardcoding them in scripts.
Audit Metadata