llm
Pass
Audited by Gen Agent Trust Hub on Jun 28, 2026
Risk Level: SAFE
Full Analysis
- [INDIRECT_PROMPT_INJECTION]: The skill documents patterns for ingesting untrusted data (PDFs, images, and external search results) into LLM context across several recipes.
- Ingestion points: Document parsing in
references/recipes/document-processing.mdand RAG retrieval inreferences/recipes/rag-oss.md. - Boundary markers: No explicit prompt delimitation or "ignore instructions" markers are demonstrated in the example snippets.
- Capability inventory: The recipes describe systems that utilize file system access, network requests to cloud providers, and LLM tool execution.
- Sanitization: There is no discussion of input sanitization for extracted document text before it is processed by the model.
- [EXTERNAL_DOWNLOADS]: The documentation provides instructions for installing well-known and reputable industry-standard libraries such as
vllm,langchain,qdrant-client, andpdfplumberfor various LLM engineering tasks. - [COMMAND_EXECUTION]: The recipes include standard system setup commands (e.g.,
apt install tesseract-ocr-fra) and model serving commands (e.g.,python -m vllm.entrypoints.openai.api_server). These are documented as manual setup steps for the user and do not execute automatically.
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