langchain-architecture
Pass
Audited by Gen Agent Trust Hub on Aug 10, 2026
Risk Level: SAFE
Full Analysis
- [SAFE]: The skill serves as a technical reference guide for LangChain development. All code snippets provided are standard Python implementations of LangChain agents, chains, and memory systems.
- [DATA_EXPOSURE_AND_EXFILTRATION]: Code examples utilize generic local file paths (e.g., 'documents.txt') and standard class initializations. No hardcoded credentials, API keys, or suspicious network exfiltration patterns were found.
- [DYNAMIC_EXECUTION]: The skill documents the use of autonomous agents that dynamically select tools based on LLM reasoning (ReAct pattern). While this involves dynamic decision-making by an LLM, it is the primary intended functionality of the framework being taught and does not include unsafe evaluation of untrusted code strings.
- [INDIRECT_PROMPT_INJECTION]: The skill describes patterns for Retrieval Augmented Generation (RAG) and tool-using agents which are inherently susceptible to indirect prompt injection from processed data or tool outputs. However, the documentation includes a production checklist that explicitly recommends input validation and safety boundaries to mitigate these risks.
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