alterlab-scikit-survival
Pass
Audited by Gen Agent Trust Hub on Sep 25, 2026
Risk Level: SAFE
Full Analysis
- [SAFE]: The skill consists of technical documentation and code examples for survival analysis. All identified patterns, including package dependencies and external links, are consistent with the stated purpose of the skill and the author's academic suite.
- [SAFE]: No prompt injection, data exfiltration, or obfuscation techniques were found in the instructions, metadata, or reference files. Analysis for hidden URLs or steganography yielded no results.
- [SAFE]: Dependencies such as scikit-survival, scikit-learn, and pandas are standard in the Python data science ecosystem. No remote code execution patterns, persistence mechanisms, or privilege escalation attempts were detected.
- [SAFE]: The skill's data ingestion surface involves processing structured numerical and categorical survival data. No patterns of unsafe prompt interpolation or text interpreting from external files were found, mitigating risks of indirect prompt injection.
Audit Metadata