numpy
Pass
Audited by Gen Agent Trust Hub on Sep 15, 2026
Risk Level: SAFE
Full Analysis
- [SAFE]: The skill consists entirely of markdown documentation and Python code snippets intended for guidance on NumPy usage. It does not contain any executable scripts, shell commands, or automated configuration changes.
- [SAFE]: No network operations, data exfiltration patterns, or unauthorized file system access were identified. The code examples demonstrate standard NumPy functions for array manipulation, indexing, and I/O.
- [SAFE]: The skill does not use any obfuscation, dynamic execution of untrusted code, or persistence mechanisms. All discussed third-party libraries (e.g., pandas, PyTorch) are standard tools in the scientific computing ecosystem and are used in a safe, documented manner.
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