pyopenms
Pass
Audited by Gen Agent Trust Hub on Oct 1, 2026
Risk Level: SAFE
Full Analysis
- [SAFE]: The skill consists of parameterized Python scripts and reference documentation for proteomics and metabolomics workflows. The implementation is consistent with standard scientific data processing practices.
- [SAFE]: No evidence of prompt injection or instructions to bypass safety guidelines were found in the instructions or the Agent Operating Procedure.
- [SAFE]: Data handling is restricted to reading and writing mass spectrometry file formats (mzML, featureXML, etc.) and exporting quantitative tables to CSV. No unauthorized network operations or credential exfiltration patterns were detected.
- [SAFE]: External URL references are limited to the official pyOpenMS documentation (readthedocs) and the OpenMS project's GitHub repository for the purpose of fetching necessary configuration data (HMDB mapping files).
- [SAFE]: The skill follows established pyOpenMS 3.5.0 API patterns and includes defensive coding practices, such as verifying the existence of input files and resolving bundled data paths through the library's built-in methods.
Audit Metadata