NYC

autonomous-agent-gaming

Pass

Audited by Gen Agent Trust Hub on Feb 15, 2026

Risk Level: LOW
Full Analysis
  • [SAFE] (SAFE): The provided code consists of standard algorithmic implementations for game AI and benchmarking. No malicious intent or suspicious patterns were identified in any of the 10 files.
  • [REMOTE_CODE_EXECUTION] (SAFE): No dynamic code execution (eval, exec) or unsafe deserialization (pickle) is used. The Q-Learning agent uses the safe json library for state persistence.
  • [DATA_EXFILTRATION] (SAFE): There are no network requests, external data transfers, or access to sensitive local file paths (e.g., SSH keys or credentials).
  • [COMMAND_EXECUTION] (SAFE): The skill does not perform any shell command execution or subprocess spawning for system-level operations.
  • [INDIRECT_PROMPT_INJECTION] (SAFE): While the agents process external game states, they do so using structured algorithmic logic (mathematical evaluation) rather than natural language processing via an LLM, eliminating the injection attack surface.
Audit Metadata
Risk Level
LOW
Analyzed
Feb 15, 2026, 10:28 PM