Agent skill · NVIDIA
dicom-series-to-volume
Used for converting one CT DICOM series folder to a HU NIfTI volume with affine evidence. Not for multi-frame DICOM or clinical use.
What it needs
About 2k tokens when loaded.
What this skill does
dicomseriestovolume Purpose Used for converting one CT DICOM series folder to a HU NIfTI volume with affine evidence. Not for multi-frame DICOM or clinical use. Use the wrapper exactly as documented; do not replace the upstream entrypoint with a handwritten implementation. Manifest I/O: inputs are dicomdir; outputs are niftivolume and resultjson. Instructions Read skillmanifest.yaml before changing arguments, side effects, or validation gates. Run scripts/seriestovolume.py through the documented command below; keep outputs under a caller-provided run directory. If a host agent exposes runscript, use runscript("scripts/seriestovolume.py", args=[...]); otherwise run the Bash/Python command shown below. Check the emitted JSON and the paired dicomvolumequalityv1 verifier before treating the run as evidence. Available Scripts Script Purpose Arguments --- --- --- scripts/seriestovolume.py Primary entrypoint declared by skillmanifest.yaml. PATHTODICOMDIR [--output OUT.nii.gz] Prerequisites Runtime requirements: Python packages listed in runtime.sideeffects.pippackages. NiBabel 5.4 or newer is required so extreme-oblique axes remain labeled consistently across reorientation. Run commands from the repository root unless an existing section below says otherwise. Limitations Single-series only; multi-series input is rejected at preflight. Multi-frame DICOM (NumberOfFrames > 1 per file) not supported. Compressed transfer syntaxes (JPEG / JPEG2000 / RLE) not supported. No voxel reorientation. The affine is derived from DICOM headers and represented in NIfTI/RAS coordinates; a downstream gate (e.g. expectedaxcodes) is expected to assert orientation before this volume is fed to a segmentation model. Not for clinical deployment, autonomous diagnosis, regulatory submission, production inference (use a vetted converter such as dcm2niix for that). Troubleshooting Error Cause Fix --- --- --- Missing dependency or import error Runtime package drift from skillmanifest.yaml. …
How to use it
Reference it in AdaL, Claude Code, Cursor or any coding agent — nothing to install:
@skills NVIDIA/dicom-series-to-volume