ai-rag-patterns
Pass
Audited by Gen Agent Trust Hub on Jun 13, 2026
Risk Level: SAFE
Full Analysis
- [SAFE]: The skill provides detailed educational content and architectural decision trees for designing production-grade RAG systems without any malicious instructions.
- [SAFE]: Python code examples provided for indexing and retrieval utilize standard libraries (e.g.,
beautifulsoup4,numpy,scipy) and well-known AI SDKs (e.g.,openai,transformers) in a manner consistent with their intended documentation. - [SAFE]: The document ingestion logic (
FileLoader) is designed to parse standard file types (PDF, Markdown, HTML) for the purpose of creating a vector index and does not attempt to access sensitive system directories or hidden configuration files. - [SAFE]: Prompts used for context assembly include structural delimiters and clear boundary markers to isolate retrieved data, which is a standard security practice to reduce the risk of indirect prompt injection.
- [SAFE]: No signs of obfuscation, hidden URLs, privilege escalation, or persistence mechanisms were found across the skill's instructions or its eleven reference files.
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