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 cobrapy library for metabolic analysis.
  • [SAFE]: Python code examples utilize standard scientific computing libraries including pandas, matplotlib, seaborn, and numpy for 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.
Audit Metadata
Risk Level
SAFE
Analyzed
Mar 31, 2026, 08:21 AM
Security Audit — agent-trust-hub — cobrapy