llama-cpp

Pass

Audited by Gen Agent Trust Hub on Sep 8, 2026

Risk Level: SAFECOMMAND_EXECUTIONEXTERNAL_DOWNLOADSPRIVILEGE_ESCALATION
Full Analysis
  • [COMMAND_EXECUTION]: The skill includes Python scripts that use subprocess.run to call nvidia-smi for hardware profiling, specifically to calculate available VRAM for GPU layer offloading.
  • [EXTERNAL_DOWNLOADS]: The instructions guide the user to download source code from the official llama.cpp GitHub repository (github.com/ggml-org/llama.cpp) and models from the Hugging Face Hub (huggingface.co). These are well-known and trusted services for AI development.
  • [PRIVILEGE_ESCALATION]: The troubleshooting guide mentions using sudo apt install to install the NVIDIA CUDA toolkit, which is a standard administrative task for setting up GPU-accelerated computing environments.
Audit Metadata
Risk Level
SAFE
Analyzed
Sep 8, 2026, 07:01 PM
Security Audit — agent-trust-hub — llama-cpp