Anomaly Detection
Pass
Audited by Gen Agent Trust Hub on Oct 27, 2026
Risk Level: SAFE
Full Analysis
- [SAFE]: The skill contains educational content and example implementations of anomaly detection techniques including Z-score, Isolation Forest, and Local Outlier Factor.
- [SAFE]: Python code implementations use standard, well-known scientific computing libraries (pandas, numpy, scikit-learn, scipy) and operate on synthetically generated data.
- [SAFE]: No network operations, sensitive file system access, or suspicious command executions were identified in the instructions or scripts.
- [SAFE]: The project scaffolding script and notebook templates are benign tools for organizing data analysis projects.
Audit Metadata