numpy-numerics
Pass
Audited by Gen Agent Trust Hub on Apr 6, 2026
Risk Level: SAFE
Full Analysis
- [SAFE]: The skill provides legitimate technical documentation and examples for scientific computing in engineering.
- [PROMPT_INJECTION]: No behavioral overrides, safety bypass attempts, or system prompt extraction patterns were found.
- [DATA_EXFILTRATION]: No sensitive file path access (e.g., .ssh, .aws) or network operations to unauthorized domains were detected.
- [REMOTE_CODE_EXECUTION]: Dependencies are restricted to reputable scientific Python libraries (numpy, scipy, matplotlib) and no untrusted remote script execution was found.
- [COMMAND_EXECUTION]: The skill uses standard CLI commands for package installation (pip) and does not involve dangerous shell operations or privilege escalation attempts.
- [OBFUSCATION]: No encoded content, hidden characters, or homoglyph-based obfuscation was detected in the markdown or python files.
Audit Metadata