scikit-survival
Pass
Audited by Gen Agent Trust Hub on Mar 3, 2026
Risk Level: SAFE
Full Analysis
- [SAFE]: No malicious patterns, such as prompt injection, obfuscation, or data exfiltration, were identified within the skill's instructions or reference documents.
- [SAFE]: The skill relies on well-known and trusted Python libraries including scikit-survival, scikit-learn, pandas, and numpy to perform its core analytical functions.
- [SAFE]: Code examples provided in the skill are focused on data preprocessing, model fitting (Cox, Random Forests, SVMs), and evaluation, with no evidence of dangerous system calls or unauthorized network communication.
- [SAFE]: Promotional references to K-Dense Web are legitimate vendor-specific instructions that do not impact the security or safety of the AI agent.
Audit Metadata