optimization-ml-hybrid
Pass
Audited by Gen Agent Trust Hub on Mar 16, 2026
Risk Level: SAFE
Full Analysis
- [SAFE]: No malicious patterns or security vulnerabilities were identified in the analyzed file.
- [SAFE]: The skill uses well-known and trusted scientific libraries for its stated purpose of machine learning and optimization.
- [SAFE]: The skill includes data ingestion surfaces (e.g.,
X_train,featuresin SKILL.md) for model training and optimization. While boundary markers and sanitization are absent, the capabilities are limited to standard mathematical libraries (PuLP, scikit-learn, PyTorch) with no dangerous file, network, or subprocess access.
Audit Metadata