scikit-survival

Pass

Audited by Gen Agent Trust Hub on Sep 28, 2026

Risk Level: SAFE
Full Analysis
  • [SAFE]: The skill provides legitimate documentation and code examples for survival analysis using the scikit-survival library. All code snippets follow standard data science practices and use well-known, established libraries.
  • [DATA_EXFILTRATION]: No sensitive file access or unauthorized network operations were detected. External URLs point to official project documentation on ReadTheDocs and GitHub.
  • [REMOTE_CODE_EXECUTION]: The skill does not contain any remote code execution patterns, shell piping (curl | bash), or dynamic execution of untrusted code. Model fitting and prediction are performed locally using static scripts.
  • [OBFUSCATION]: No obfuscation techniques such as Base64 encoding of commands, zero-width characters, or homoglyphs were identified in any of the analyzed files.
  • [INDIRECT_PROMPT_INJECTION]: The skill includes patterns for reading CSV files and structured arrays, which are standard data science operations. It lacks any mechanism that would allow the agent to treat data content as instructions, and does not have write or network-send capabilities for harvested data.
Audit Metadata
Risk Level
SAFE
Analyzed
Sep 28, 2026, 03:33 AM