omicverse-bulk-metabol-multivariate
Pass
Audited by Gen Agent Trust Hub on Aug 6, 2026
Risk Level: SAFE
Full Analysis
- [SAFE]: The skill provides technical instructions and code examples for using the 'omicverse' library to perform statistical modeling on metabolomics data. All operations described are consistent with the skill's stated purpose.
- [SAFE]: No evidence of prompt injection, obfuscation, or attempts to bypass agent safety guidelines was found in any of the skill files.
- [SAFE]: The skill uses well-known and standard Python libraries for data analysis and visualization, including 'omicverse', 'scikit-learn', and 'matplotlib'. No suspicious or unverifiable dependencies are referenced.
- [SAFE]: Data ingestion is limited to reading local files (e.g., 'human_cachexia.csv') for analysis, with no indicators of unauthorized file access, sensitive credential exposure, or data exfiltration to external domains.
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