cobrapy
Pass
Audited by Gen Agent Trust Hub on Mar 31, 2026
Risk Level: SAFE
Full Analysis
- [SAFE]: No security concerns were identified. The skill serves as an educational and functional guide for using the legitimate
cobrapylibrary for metabolic analysis. - [SAFE]: Python code examples utilize standard scientific computing libraries including
pandas,matplotlib,seaborn, andnumpyfor data processing and visualization. - [SAFE]: File system interactions are restricted to loading metabolic models (SBML, JSON, YAML) and saving analysis results (CSV, PNG), which aligns with the intended use case for bioinformatics research.
- [SAFE]: No evidence of prompt injection, data exfiltration, obfuscation, or unauthorized command execution was found across the provided files.
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