langchain-langgraph-streaming
Pass
Audited by Gen Agent Trust Hub on Sep 9, 2026
Risk Level: SAFEINDIRECT_PROMPT_INJECTION
Full Analysis
- [INDIRECT_PROMPT_INJECTION]: The skill facilitates the creation of API and WebSocket endpoints that ingest untrusted user data for processing by an LLM graph.\n
- Ingestion points: The
qquery parameter inSKILL.md(Step 3) andreferences/astream-events-filtering.md, and theuser_messageJSON field in the WebSocket handler inSKILL.md(Step 5) andreferences/websocket-and-reconnect.md.\n - Boundary markers: The provided code snippets wrap user input in
HumanMessage(user_input)before passing it to the LangGraphastreammethod.\n - Capability inventory: The skill is intended for use in environments with
Read,Write,Edit, andBash(python:*)tool access, which determines the scope of potential impact from a successful injection attack.\n - Sanitization: The implementation templates do not include input validation, sanitization, or safety filtering for the user-provided text.
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