Imported from nvidia/skills (
skills/dicom-series-preflight/SKILL.md) via skills.sh. Install upstream withnpx skills add nvidia/skills --skill dicom-series-preflight. Copyright stays with the author (Apache-2.0).
DICOM Series Preflight
Purpose
- Used for header-only preflight of one DICOM series folder before conversion or inference. Not for de-identification or clinical clearance.
- Use the wrapper exactly as documented; do not replace the upstream entrypoint with a handwritten implementation.
- Manifest I/O: inputs are
dicom_dir; outputs arepreflight_json.
Instructions
- Read
skill_manifest.yamlbefore changing arguments, side effects, or validation gates. - Run
scripts/preflight_series.pythrough the documented command below; keep outputs under a caller-provided run directory. - If a host agent exposes
run_script, userun_script("scripts/preflight_series.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/preflight_series.py |
Primary entrypoint declared by skill_manifest.yaml. | PATH_TO_DICOM_DIR |
Prerequisites
- Runtime requirements: Python packages listed in
runtime.side_effects.pip_packages. - 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
- Header-only; does not decode pixel data or detect burnt-in PHI.
- Canonical orientation gate assumes LPS-derived CT axcodes L,P,S.
- Compressed transfer syntax and multi-frame instances are warned, not decoded.
- Single-directory scan; does not reconcile multiple studies in one tree.
- Not for clinical deployment, regulatory de-identification, autonomous diagnosis, production ingestion without a vetted converter.
Troubleshooting
| 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_DIRPair 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_demoFlagship 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_gateNot for de-identification, private-tag review, or clinical clearance.