machine-learning-for-omics
Pass
Audited by Gen Agent Trust Hub on Jul 5, 2026
Risk Level: SAFECOMMAND_EXECUTIONPROMPT_INJECTION
Full Analysis
- [SAFE]: The skill is primarily instructional, outlining best practices for predictive modeling and biomarker discovery using local scientific tools.
- [COMMAND_EXECUTION]: Instructions provide standard CLI patterns for environment auditing, specifically checking the versions of installed Python modules (e.g.,
python -c "import <module>; print(<module>.__version__)"). These are benign and intended for compatibility verification. - [PROMPT_INJECTION]: Indirect Prompt Injection Surface. The skill involves processing external datasets, which constitutes an ingestion point for potentially untrusted data.
- Ingestion points: External feature matrices and labels ingested into the agent context (SKILL.md).
- Boundary markers: None explicitly defined to separate untrusted data from instructions.
- Capability inventory: The skill leverages Python execution environments and scientific modeling libraries (SKILL.md frontmatter).
- Sanitization: Standard data parsing via scientific libraries is expected; no specific instruction-filtering logic is provided.
Audit Metadata