llm-torch-profiler-analysis
Pass
Audited by Gen Agent Trust Hub on May 16, 2026
Risk Level: SAFECOMMAND_EXECUTIONEXTERNAL_DOWNLOADS
Full Analysis
- [COMMAND_EXECUTION]: The skill includes several shell scripts (e.g.,
run_sglang_torch_profile_host.sh,run_vllm_torch_profile_host.sh) that usedocker runanddocker execto manage inference servers. These scripts interpolate variables into shell commands to automate the profiling workflow. - [COMMAND_EXECUTION]: The script
scripts/make_trtllm_py_executor_override.pydynamically patches Python source code (py_executor.py) to enable stack traces in the profiler. This modification is specific to the tool's diagnostic purpose and is applied to a local copy for use in a containerized environment. - [EXTERNAL_DOWNLOADS]: The automation scripts pull Docker container images from well-known registries (NVIDIA Container Registry and Docker Hub) and interact with the Hugging Face Hub to download models using user-provided authentication tokens.
Audit Metadata