Serve MiniCPM5-1B via SGLang as an OpenAI-compatible HTTP server with RadixAttention prefix cache and built-in MiniCPM5 tool-call parsing. Use when the user asks for "SGLang", "RadixAttention", "prefix cache", batch evaluation, tool calling, or wants a high-concurrency NVIDIA-GPU server alternative to vLLM.
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Low
Low-risk findings worth noting
Low
Low-risk findings.
1 low severity finding. Worth noting, but not necessarily harmful.
The skill exposes the agent to untrusted, user-generated content from public third-party sources, creating a risk of indirect prompt injection. This includes browsing arbitrary URLs, reading social media posts or forum comments, and analyzing content from unknown websites.
The required workflow launches an OpenAI-compatible server and necessarily ingests user-supplied request bodies (e.g., the `/v1/chat/completions` `messages`/`tools` text) into the serving LLM context at runtime; since that text is provided by whoever calls the endpoint (an outsider relative to the skill author), this is an indirect prompt-injection exposure path.
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