tensorrt-llm

Pass

Audited by Gen Agent Trust Hub on Sep 9, 2026

Risk Level: SAFE
Full Analysis
  • [SAFE]: The skill documents the use of official NVIDIA tools and libraries for LLM optimization.\n- [EXTERNAL_DOWNLOADS]: Fetches official Docker images from NVIDIA's repository (nvidia/tensorrt_llm).\n- [EXTERNAL_DOWNLOADS]: Installs the tensorrt_llm package from the official Python package registry.\n- [EXTERNAL_DOWNLOADS]: References and downloads LLM models from Meta's official HuggingFace repository (meta-llama/Meta-Llama-3-8B).\n- [COMMAND_EXECUTION]: Provides standard command-line examples for starting inference servers and running benchmarks using the trtllm-serve utility and standard Python scripts.\n- [CREDENTIALS_UNSAFE]: References API key authentication for production serving but correctly uses environment variable placeholders ($API_KEY) instead of hardcoded secrets.
Audit Metadata
Risk Level
SAFE
Analyzed
Sep 9, 2026, 07:07 PM
Security Audit — agent-trust-hub — tensorrt-llm