llm-app-patterns
Pass
Audited by Gen Agent Trust Hub on Jul 28, 2026
Risk Level: SAFE
Full Analysis
- [PROMPT_INJECTION]: The skill documents patterns for Retrieval-Augmented Generation (RAG) and agents that ingest external data into prompts. It provides templates such as
RAG_PROMPT_TEMPLATEandREACT_PROMPTwhich interpolate context and tool observations. These patterns represent a standard attack surface for indirect prompt injection, and the skill includes basic instructional guardrails to mitigate this risk. - Ingestion points: The skill defines prompt templates in
SKILL.mdthat accept external data via{context}and{observation}placeholders. - Boundary markers: The provided RAG template includes specific instructions to the model to "Answer the user's question based ONLY on the following context."
- Capability inventory: The agent patterns describe the use of search and calculation tools.
- Sanitization: As an architectural guide, the snippets demonstrate structure rather than specific input validation or sanitization logic.
- [EXTERNAL_DOWNLOADS]: The skill includes references to industry-standard resources and documentation, including the Anthropic Cookbook, LangChain, LlamaIndex, and the Dify platform.
Audit Metadata