nvidia/dicom-series-preflight
Used for header-only preflight of one DICOM series folder before conversion or inference. Not for de-identification or clinical clearance.
npx skills add https://github.com/NVIDIA/skills --skill dicom-series-preflight
dicom_dir; outputs are preflight_json.skill_manifest.yaml before changing arguments, side effects, or validation gates.scripts/preflight_series.py through the documented command below; keep outputs under a caller-provided run directory.run_script, use run_script("scripts/preflight_series.py", args=[...]); otherwise run the Bash/Python command shown below.| Script | Purpose | Arguments |
|---|---|---|
| scripts/preflight_series.py | Primary entrypoint declared by skill_manifest.yaml. | PATH_TO_DICOM_DIR |
runtime.side_effects.pip_packages.| Error | Cause | Fix |
|---|---|---|
| Missing dependency or import error | Runtime package drift from skill_manifest.yaml. | Install the packages declared in the manifest or use the documented setup command. |
| Empty or schema-invalid output | Wrong input path, unsupported modality, or upstream failure. | Re-run with a known fixture and inspect the wrapper JSON plus stderr. |
| Validation gate failure | Output violated a declared engineering invariant. | Keep the failed evidence pack and use the gate message to repair inputs or wrapper code. |
Scans a DICOM directory (one series per folder) without decoding pixels.
Emits JSON with inventory, orientation axcodes, PHI flags, findings, and a
preflight.verdict of pass, warn, or fail.
python scripts/preflight_series.py PATH_TO_DICOM_DIR
Pair with verifiers/dicom_preflight_quality_v1 for a trusted preflight pack:
make run-trusted SKILL=dicom_series_preflight \
FIXTURE=skills/dicom-series-preflight/fixtures/clean_no_phi \
OUT=runs/dicom_preflight_demo
Flagship workflow:
make run-workflow \
WORKFLOW=examples/workflows/dicom_preflight_gate.yaml \
WORKFLOW_INPUT=skills/dicom-series-preflight/fixtures/clean_no_phi \
WORKFLOW_OUT=runs/dicom_preflight_gate
Not for de-identification, private-tag review, or clinical clearance.
Take nvidia/dicom-series-preflight from the repository into ~/.claude/skills for personal
use, or into .claude/skills inside a project.
The agent identifies a skill by the name field in its header. Two skills with the
same name cannot sit side by side — one of them will be ignored.