pyopenms-mass-spectrometry

Pass

Audited by Gen Agent Trust Hub on Apr 30, 2026

Risk Level: SAFE
Full Analysis
  • [SAFE]: The skill implements standard mass spectrometry analysis workflows using the PyOpenMS library. All file operations involve processing scientific data formats (mzML, FASTA, idXML) and exporting results to structured files like CSV. The dependencies specified (pyopenms, numpy, pandas, matplotlib) are well-known, established packages within the scientific and data science communities. External documentation links point to official OpenMS project resources, and no patterns related to exfiltration, obfuscation, or unauthorized command execution were found.
Audit Metadata
Risk Level
SAFE
Analyzed
Apr 30, 2026, 04:04 AM
Security Audit — agent-trust-hub — pyopenms-mass-spectrometry