python-performance-optimization
Pass
Audited by Gen Agent Trust Hub on Apr 27, 2026
Risk Level: SAFE
Full Analysis
- [SAFE]: No evidence of prompt injection, data exfiltration, or malicious persistence mechanisms was found across any of the analyzed files.
- [EXTERNAL_DOWNLOADS]: The skill mentions and provides code examples for established Python libraries such as NumPy, Numba, and Cython, which are trusted industry standards for numerical computing and performance.
- [COMMAND_EXECUTION]: Instructions for using standard profiling tools like cProfile, line-profiler, and memory-profiler are provided appropriately for the intended purpose of the skill.
Audit Metadata