autonomous-agents
Pass
Audited by Gen Agent Trust Hub on Aug 8, 2026
Risk Level: SAFE
Full Analysis
- [SAFE]: The skill is primarily educational, providing reference implementations for agent patterns like ReAct, Plan-Execute, and Reflection. It does not contain executable malicious code or instructions to bypass security filters.
- [SAFE]: Code examples demonstrate secure practices for handling sensitive data, such as retrieving database connection strings from environment variables (
os.environ["POSTGRES_URL"]) rather than hardcoding credentials. - [SAFE]: The skill explicitly addresses and provides mitigations for common agent risks, including 'Dangerous Actions', 'API Cost Explosion', and 'Fabricated Data', recommending robust validation and confirmation steps.
- [SAFE]: All external libraries referenced (LangGraph, LangChain, Pydantic, Structlog, Tenacity) are well-established, legitimate tools within the AI development ecosystem.
- [SAFE]: Persistence mechanisms discussed (PostgresSaver for checkpointing) are standard functional requirements for maintaining state in long-running autonomous tasks and do not represent malicious persistence.
Audit Metadata