numpy-low-level
Pass
Audited by Gen Agent Trust Hub on Sep 16, 2026
Risk Level: SAFE
Full Analysis
- [SAFE]: The skill focuses on legitimate NumPy performance optimization techniques such as stride manipulation, structured arrays, and memory mapping.
- [DYNAMIC_EXECUTION]: Mentions the use of
ctypesandas_stridedfor low-level memory access and C-interoperability. These are standard NumPy tools for performance optimization, and the skill includes explicit warnings about the memory corruption risks associated with their misuse, following technical best practices. - [DATA_EXPOSURE]: Uses
np.memmapand memory interface pointers, which are standard for handling large datasets and interfacing with external libraries. No sensitive system paths or network exfiltration patterns were found.
Audit Metadata