rag-architect
Pass
Audited by Gen Agent Trust Hub on Jul 29, 2026
Risk Level: SAFE
Full Analysis
- [SAFE]: The skill provides educational and architectural guidance for building RAG systems. It uses industry-standard Python libraries including
langchain,qdrant-client,openai,cohere,rank_bm25, andragas. - [SAFE]: Code examples demonstrate best practices such as idempotent ingestion, hybrid search, and evaluation metrics.
- [DATA_EXFILTRATION]: Contains placeholders for API keys (e.g.,
cohere.Client("YOUR_API_KEY")) and local connections (qdrant_client.QdrantClient("localhost", port=6333)), which are safe and expected for development templates. - [EXTERNAL_DOWNLOADS]: The documentation link points to
jeffallan.github.io, which is the author's official documentation site and is used for providing further guidance.
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