pyopenms
Pass
Audited by Gen Agent Trust Hub on Jun 30, 2026
Risk Level: SAFE
Full Analysis
- [SAFE]: The skill provides legitimate documentation and code examples for the pyopenms library, a well-known tool for computational mass spectrometry.
- [SAFE]: Dependencies listed (pyopenms, pandas, numpy, matplotlib) are standard, well-maintained packages in the scientific Python ecosystem.
- [SAFE]: No suspicious network activity, data exfiltration, or unauthorized file access was detected.
- [SAFE]: No prompt injection or obfuscation attempts were found in the instructions or code snippets.
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