pymoo
Pass
Audited by Gen Agent Trust Hub on Feb 16, 2026
Risk Level: LOW
Full Analysis
- SAFE (SAFE): No malicious patterns identified. The skill is entirely focused on mathematical optimization and documentation for the 'pymoo' library.
- EXTERNAL_DOWNLOADS (INFO): Uses standard scientific Python libraries including 'pymoo', 'numpy', and 'matplotlib'. These are well-established packages in the research and data science community.
- DATA_EXFILTRATION (SAFE): No network operations or access to sensitive local file paths (e.g., credentials or SSH keys) were found. All file operations are limited to standard visualization exports in documentation examples.
- INDIRECT_PROMPT_INJECTION (SAFE): The skill does not define any logic for ingesting untrusted external data at runtime. It serves as a static reference for developers and agents using the optimization framework.
Audit Metadata