scikit-survival
Pass
Audited by Gen Agent Trust Hub on Feb 16, 2026
Risk Level: LOW
Full Analysis
- SAFE (SAFE): No security issues detected. The analyzed files contain legitimate technical documentation and Python code examples for survival analysis. All referenced libraries (scikit-survival, scikit-learn) are reputable, standard packages in the machine learning ecosystem. No instances of prompt injection, obfuscation, unauthorized data access, or malicious command execution were found. The examples operate on standard local datasets provided by the libraries.
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