pymoo
Pass
Audited by Gen Agent Trust Hub on Jul 13, 2026
Risk Level: SAFE
Full Analysis
- [SAFE]: The skill integrates the reputable 'pymoo' library for scientific optimization, with all code examples and references following standard and documented library usage.
- [SAFE]: Dependencies such as numpy, scipy, and matplotlib are well-established and trusted packages in the scientific Python ecosystem.
- [SAFE]: No malicious patterns, obfuscation techniques, or unauthorized data exfiltration attempts were identified in the instructions or example scripts.
- [SAFE]: The skill's primary purpose is to offer a reference and tools for multi-objective optimization, and it does not request excessive system privileges or perform suspicious network operations.
Audit Metadata