Agent skill · NVIDIA
nv-segment-ct
Used for running NV-Segment-CT VISTA3D on CT NIfTI volumes and recording label-map evidence.
What it needs
About 4k tokens when loaded.
What this skill does
NV-Segment-CT Purpose Used for running NV-Segment-CT VISTA3D on CT NIfTI volumes and recording label-map evidence. Not for clinical interpretation. Use the wrapper exactly as documented; do not replace the upstream entrypoint with a handwritten implementation. Manifest I/O: inputs are ctvolume; outputs are labelmap and resultjson. Instructions Read skillmanifest.yaml before changing arguments, side effects, or validation gates. Run scripts/runvista3d.py through the documented command below; keep outputs under a caller-provided run directory. If a host agent exposes runscript, use runscript("scripts/runvista3d.py", args=[...]); otherwise run the Bash/Python command shown below. Create the documented Python 3.10 virtual environment and invoke its binaries directly; do not install model dependencies into the caller's active environment. Check the emitted JSON and paired verifier guidance before treating the run as evidence. Available Scripts Script Purpose Arguments --- --- --- scripts/runvista3d.py Primary entrypoint declared by skillmanifest.yaml. PATHTOCT.nii.gz [--output-dir OUTDIR] [--label-prompts IDS] Prerequisites Runtime requirements: Python 3.10 with venv support and GPU/CUDA when declared by the manifest. Model packages come from the pinned upstream requirements file; only wrapper-specific packages are added locally. Side effects: creates an isolated environment under ~/.cache/nvidia-skills/venvs/nv-segment-ct-f9f5f51/, writes the downloaded bundle under skills/nv-segment-ct/bundle/, may cache model assets under ~/.cache/huggingface/, and may contact https://huggingface.co and https://raw.githubusercontent.com during first setup; the optional spleen fixture fetcher downloads MSD09 from https://msd-for-monai.s3-us-west-2.amazonaws.com. Run commands from the repository root unless an existing section below says otherwise. Limitations This is a thin wrapper. …
How to use it
Reference it in AdaL, Claude Code, Cursor or any coding agent — nothing to install:
@skills NVIDIA/nv-segment-ct