algo-net-influence
Pass
Audited by Gen Agent Trust Hub on Sep 18, 2026
Risk Level: SAFE
Full Analysis
- [SAFE]: The skill consists of technical documentation and Python implementations for graph algorithms. The code uses standard libraries (heapq, random, collections) for Monte Carlo simulations and greedy optimization.
- [SAFE]: No sensitive file access, hardcoded credentials, or network exfiltration patterns were detected. All code is self-contained and operates on provided graph data structures.
- [SAFE]: The instructions and examples are focused on algorithmic education and do not attempt to override agent safety guidelines or hide malicious commands via obfuscation.
Audit Metadata