pymoo
Pass
Audited by Gen Agent Trust Hub on Jun 14, 2026
Risk Level: SAFE
Full Analysis
- [SAFE]: The skill serves as a technical resource for the pymoo library, a well-known and reputable framework for multi-objective optimization.
- [SAFE]: No malicious patterns such as prompt injection, obfuscation, or unauthorized data access were detected across the skill's instructions or script examples.
- [SAFE]: All identified dependencies (pymoo, NumPy, SciPy, Matplotlib, autograd) are standard, well-established packages in the Python scientific computing ecosystem.
- [SAFE]: The skill follows secure coding practices, such as recommending the use of .env files for secret management and emphasizing the use of safe problem formulation methods.
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