scikit-survival

Pass

Audited by Gen Agent Trust Hub on Jun 14, 2026

Risk Level: SAFE
Full Analysis
  • [SAFE]: No security findings identified across any threat categories.
  • [SAFE]: The skill focuses on providing legitimate educational and technical content for survival analysis, utilizing standard data science libraries such as pandas, numpy, and scikit-survival.
  • [SAFE]: No evidence of prompt injection, data exfiltration, or obfuscation was found in the instructions or reference materials.
  • [SAFE]: Data ingestion patterns identified (reading CSV and ARFF files) are handled within the context of statistical modeling and do not expose the agent to indirect prompt injection vulnerabilities due to the absence of exploitable capabilities like shell execution or network requests based on that data.
Audit Metadata
Risk Level
SAFE
Analyzed
Jun 14, 2026, 09:23 AM
Security Audit — agent-trust-hub — scikit-survival