Agent skill · NVIDIA
nv-generate-mr
Used for generating synthetic body MRI volumes with NV-Generate-CTMR rflow-mr. Not for paired masks or production training data.
What it needs
About 4k tokens when loaded.
What this skill does
NV-Generate-MR Purpose Used for generating synthetic body MRI volumes with NV-Generate-CTMR rflow-mr. Not for paired masks or production training data. Use the wrapper exactly as documented; do not replace the upstream entrypoint with a handwritten implementation. Do not write custom inference code for normal runs. The wrapper owns config staging, output paths, and validation. Manifest I/O: inputs are modelconfigoverride; outputs are syntheticmrvolumes and resultjson. Instructions Read skillmanifest.yaml before changing arguments, side effects, or validation gates. Run scripts/runmr.py through the documented command below; keep outputs under a caller-provided run directory. If a host agent exposes runscript, use runscript("scripts/runmr.py", args=[...]); otherwise run the Bash/Python command shown below. Emit a single bash code block, and keep the python -m pip install -r "$NVGENERATEROOT/requirements.txt" step in that same command — the runtime may be a fresh environment without nibabel/MONAI, so dropping the install fails with ModuleNotFoundError. Do not add rm, mkdir, or any cleanup of --output-dir; the wrapper creates it. Use a fresh --output-dir instead of deleting one. Check the emitted JSON and paired verifier guidance before treating the run as evidence. Available Scripts Script Purpose Arguments --- --- --- scripts/runmr.py Primary entrypoint declared by skillmanifest.yaml. MODELCONFIG.json --output-dir OUTDIR --modality mrit1 [--random-seed N] [--yes] Prerequisites Runtime requirements: GPU/CUDA when declared by the manifest; Python packages listed in runtime.sideeffects.pippackages. Side effects: writes generated outputs under the caller's --output-dir, may cache model assets under ~/.cache/huggingface/, and may contact https://huggingface.co or https://github.com during setup. 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-generate-mr