rag-retrieval

Pass

Audited by Gen Agent Trust Hub on May 17, 2026

Risk Level: SAFE
Full Analysis
  • [SAFE]: The skill is a legitimate technical reference for building RAG systems. It provides patterns for embeddings, reranking, and hybrid search.
  • [SAFE]: Network operations described in the code snippets target well-known and reputable service providers such as OpenAI, Pinecone, Anthropic, Cohere, and Tavily.
  • [SAFE]: Dependencies and libraries referenced (e.g., LangChain, SQLAlchemy, NumPy, PyMuPDF) are standard industry tools with no evidence of typosquatting or malicious packages.
  • [SAFE]: Security-sensitive operations, such as API key management, are handled using standard best practices like environment variables in the provided examples.
  • [SAFE]: No evidence of prompt injection or obfuscation was detected. Prompt instructions are consistently aimed at improving retrieval accuracy and preventing hallucinations.
Audit Metadata
Risk Level
SAFE
Analyzed
May 17, 2026, 09:01 AM
Security Audit — agent-trust-hub — rag-retrieval