rag-pipeline
Pass
Audited by Gen Agent Trust Hub on Jun 14, 2026
Risk Level: SAFEEXTERNAL_DOWNLOADS
Full Analysis
- [SAFE]: The skill is purely informational, providing best practices for RAG implementation, including chunking, embeddings, and evaluation. It contains no executable components or configuration that could be exploited.
- [EXTERNAL_DOWNLOADS]: The documentation includes a Python example referencing the
sentence-transformerslibrary and an MS-MARCO reranker model from Hugging Face. These are well-known resources in the AI community and are used here for educational demonstration purposes.
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