pyopenms
Pass
Audited by Gen Agent Trust Hub on May 4, 2026
Risk Level: SAFE
Full Analysis
- [SAFE]: The skill provides comprehensive documentation and code examples for the pyopenms library, a recognized and legitimate tool in the field of computational mass spectrometry.
- [SAFE]: Data handling is restricted to local mass spectrometry files (such as mzML, featureXML, and idXML) using the library's official API for processing and storage.
- [SAFE]: External URLs point exclusively to official documentation, project homepages, and repositories on trusted platforms such as GitHub and ReadTheDocs.
- [SAFE]: Python dependencies are limited to standard, well-known scientific computing libraries (numpy, pandas, scikit-learn) and visualization tools (matplotlib, seaborn).
- [SAFE]: The skill shows no evidence of prompt injection, data exfiltration, obfuscation, or unauthorized command execution.
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