freight-optimization

Pass

Audited by Gen Agent Trust Hub on Jul 1, 2026

Risk Level: SAFE
Full Analysis
  • [SAFE]: Analysis of the Python implementations for mode selection, consolidation, and carrier management shows only benign logistics logic. The code uses standard libraries (pandas, numpy, scikit-learn) for data processing and does not perform any dangerous system operations or network requests.
  • [SAFE]: The metadata contains a standard installation command that fetches the skill's markdown file from its official GitHub repository. No remote code execution or suspicious download patterns were identified.
  • [SAFE]: No evidence of prompt injection, obfuscation, or sensitive data exposure was found in the instructions or code blocks.
Audit Metadata
Risk Level
SAFE
Analyzed
Jul 1, 2026, 01:37 PM
Security Audit — agent-trust-hub — freight-optimization