network-flow-optimization
Pass
Audited by Gen Agent Trust Hub on Mar 16, 2026
Risk Level: SAFE
Full Analysis
- [SAFE]: The skill provides legitimate educational and functional content for network optimization, including formulations for Min-Cost Flow, Max Flow, and Multi-Commodity Flow problems.
- [EXTERNAL_DOWNLOADS]: The skill references well-known and trusted Python libraries, including
networkx,matplotlib,pulp, andnumpy. These are standard tools for optimization and data visualization. - [COMMAND_EXECUTION]: The included Python code blocks are designed for mathematical calculations and local plotting. They do not contain any calls to
os.system,subprocess, or other functions that would allow for unauthorized system-level command execution.
Audit Metadata