metabolomics
Pass
Audited by Gen Agent Trust Hub on Feb 26, 2026
Risk Level: SAFE
Full Analysis
- [SAFE]: The skill is entirely informational and provides domain-specific analysis strategies for metabolomics data.
- [SAFE]: Python code blocks serve as illustrative logic examples and do not involve remote code execution or package installation.
- [SAFE]: No evidence of prompt injection, data exfiltration, or persistence mechanisms was found.
- [SAFE]: Referenced external URLs are legitimate scientific databases (KEGG, BioCyc).
Audit Metadata