route-optimization
Pass
Audited by Gen Agent Trust Hub on Sep 20, 2026
Risk Level: SAFE
Full Analysis
- [SAFE]: The Python code implementations use standard algorithms for transportation optimization (e.g., Mixed-Integer Programming, Nearest Neighbor, Clarke-Wright Savings, Sweep, and Simulated Annealing).
- [SAFE]: The skill utilizes well-known and reputable third-party libraries for scientific computing and optimization, including NumPy, SciPy, Matplotlib, PuLP, and Google OR-Tools.
- [SAFE]: No instances of prompt injection, data exfiltration, obfuscation, or persistence mechanisms were found in the skill content or instructions.
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