scikit-survival-analysis
Pass
Audited by Gen Agent Trust Hub on Apr 28, 2026
Risk Level: SAFE
Full Analysis
- [SAFE]: The skill serves as a documentation and implementation guide for survival analysis. It uses standard scientific Python libraries (scikit-survival, scikit-learn, pandas, numpy, matplotlib) and follows established data science workflows.
- [SAFE]: Data handling is restricted to local file operations (reading CSV and ARFF files) and saving plot images. No unauthorized network operations, credential exposures, or command executions were identified.
- [SAFE]: The code snippets provided are benign and relate directly to the stated purpose of modeling time-to-event outcomes.
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