stochastic-optimization
Pass
Audited by Gen Agent Trust Hub on Sep 20, 2026
Risk Level: SAFE
Full Analysis
- [SAFE]: The skill provides standard mathematical modeling examples for stochastic optimization using well-known libraries such as PuLP, SciPy, and NumPy. No suspicious activities or security risks were identified during the audit.
- [REMOTE_CODE_EXECUTION]: No remote code execution patterns or dangerous download-and-execute commands were found.
- [DATA_EXFILTRATION]: The skill does not perform any network operations or access sensitive file system paths.
- [CREDENTIALS_UNSAFE]: No hardcoded API keys, tokens, or private credentials were found in the skill or its code examples.
- [PROMPT_INJECTION]: The instructions focus entirely on optimization logic and do not contain attempts to bypass AI safety filters or override system instructions.
Audit Metadata