cognitive-architectures
Pass
Audited by Gen Agent Trust Hub on Oct 14, 2026
Risk Level: SAFE
Full Analysis
- [SAFE]: The skill is purely educational and architectural. It provides conceptual design patterns for agent cognitive cycles without performing any functional operations on the host system or network.
- [DATA_EXFILTRATION]: No network operations, credential access, or sensitive file paths were detected. The skill does not communicate with external services.
- [DYNAMIC_EXECUTION]: The provided Python code blocks are strictly for demonstration and conceptual purposes. They do not use unsafe functions such as eval() or exec(), nor do they process untrusted runtime input.
- [INDIRECT_PROMPT_INJECTION]: The skill does not present a vulnerability surface as it does not ingest external data. It specifically identifies potential injection risks in cognitive architectures (e.g., 'workspace contamination') and recommends sanitization techniques to mitigate them.
Audit Metadata