agent-memory-systems
Pass
Audited by Gen Agent Trust Hub on May 3, 2026
Risk Level: SAFE
Full Analysis
- [SAFE]: The skill provides educational content and code patterns for implementing various types of agent memory systems (semantic, episodic, and procedural) using the CoALA framework.
- [SAFE]: Technical code examples demonstrate secure practices for managing sensitive configuration, such as using environment variables for API keys and connection strings (e.g., os.environ["PINECONE_API_KEY"]).
- [SAFE]: References to external frameworks and vector database providers (e.g., Anthropic, Pinecone, Qdrant, LangChain, and Weaviate) are informational and refer to well-known, reputable technology organizations.
- [SAFE]: The skill includes detailed documentation on "Sharp Edges" which provides helpful security and reliability advice for avoiding common pitfalls in retrieval-augmented systems, such as data leakage and context overflow.
- [SAFE]: No indicators of malicious intent, such as prompt injection, obfuscation, persistence mechanisms, or unauthorized network operations, were identified in the analyzed file.
Audit Metadata