Agent skill · NVIDIA
nv-segment-ctmr
Used for running NV-Segment-CTMR on CT or MRI NIfTI volumes and recording label-map evidence. Not for clinical interpretation.
What it needs
About 4k tokens when loaded.
What this skill does
NV-Segment-CTMR Purpose Used for running NV-Segment-CTMR on CT or MRI 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 ctormrvolume; outputs are labelmap and resultjson. Instructions Read skillmanifest.yaml before changing arguments, side effects, or validation gates. Run scripts/runctmr.py through the documented command below; keep outputs under a caller-provided run directory. If a host agent exposes runscript, use runscript("scripts/runctmr.py", args=[...]); otherwise run the Bash/Python command shown below. Check the emitted JSON and paired verifier guidance before treating the run as evidence. Available Scripts Script Purpose Arguments --- --- --- scripts/runctmr.py Primary entrypoint declared by skillmanifest.yaml. PATHTOIMAGE.nii.gz --output-dir OUTDIR --modality CTBODY [--label-prompts IDS] Prerequisites Runtime requirements: GPU/CUDA when declared by the manifest; Python packages listed in runtime.sideeffects.pippackages. Optional environment variables: NVSEGMENTCTMRROOT selects the trusted upstream checkout; CUDAVISIBLEDEVICES restricts visible GPUs; MONAIDATADIRECTORY and PYTORCHCUDAALLOCCONF override the wrapper's output-local cache and allocator defaults when needed. Side effects: writes segmentation outputs under the caller's --output-dir, may cache model assets under ~/.cache/huggingface/, and may contact https://github.com or https://huggingface.co during setup. Run commands from the repository root unless an existing section below says otherwise. Limitations This is a thin wrapper. Inference, preprocessing, and postprocessing are delegated entirely to the upstream MONAI bundle under $NVSEGMENTCTMRROOT or the repo-local fallback at .workbenchdata/upstreams/NV-Segment-CTMR/NV-Segment-CTMR. …
How to use it
Reference it in AdaL, Claude Code, Cursor or any coding agent — nothing to install:
@skills NVIDIA/nv-segment-ctmr