multi-agent-patterns
Pass
Audited by Gen Agent Trust Hub on Apr 7, 2026
Risk Level: SAFE
Full Analysis
- [SAFE]: No malicious patterns or security vulnerabilities detected. The skill provides architectural guidance and standard implementation patterns for multi-agent systems.
- [EXTERNAL_DOWNLOADS]: The skill references documentation and research papers from well-known and trusted sources, including LangGraph (LangChain AI), AutoGen (Microsoft), CrewAI, and arXiv. These references are used for educational purposes and do not involve untrusted code execution.
- [COMMAND_EXECUTION]: No instances of arbitrary command execution, subprocess spawning, or dangerous shell operations were found in the documentation or the provided Python scripts.
- [DATA_EXFILTRATION]: No patterns indicating sensitive file access or unauthorized network transmission of data were identified. The file system coordination example follows standard practices for agent scratchpad environments.
- [PROMPT_INJECTION]: The instructions do not contain patterns designed to bypass safety guidelines, override system prompts, or extract sensitive model information. The skill actually promotes security best practices, such as output validation between agents.
Audit Metadata