tensorrt-llm
Optimizes LLM inference with NVIDIA TensorRT for maximum throughput and lowest latency. Use for production deployment on NVIDIA GPUs (A100/H100), when you need 10-100x faster inference than PyTorch, or for serving models with quantization (FP8/INT4), in-flight batching, and multi-GPU scaling.
70
86%
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Low
Low-risk findings worth noting
Low
Low-risk findings.
1 low severity finding. Worth noting, but not necessarily harmful.
W011: Third-party content exposure detected (indirect prompt injection risk).
What this means
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.
Why it was flagged
The required workflow shown (e.g., using `trtllm-serve`/OpenAI-compatible chat completions) accepts user-provided `messages[].content` over HTTP and feeds that request text into the model context for generation, which is outsider-authored when the caller is not the operating user.
- Repository
- synthetic-sciences/openscience
- Commit
52845c3
- Audited
- Security analysis
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