dicom-series-preflight
Used for header-only preflight of one DICOM series folder before conversion or inference. Not for de-identification or clinical clearance.
Install / Use
npx skills add NVIDIA/skills --skill dicom-series-preflightInstalls into whichever agent you are using.
SKILL.md
Installable skill definition
Quality Score
Category
Content & MediaSupported Platforms
Tags
Our assessment of dicom-series-preflight
dicom-series-preflight scores 87/100 on our quality scale, 350th of 770 Content & Media skills we index (top 46%).
Its SKILL.md is 3.4 KB long, split into 7 sections with 3 code examples: a solid amount of guidance for an agent.
With 3,421 GitHub stars, it is one of the more widely adopted skills in the catalogue.
Maintenance, license and trust
- The repository was last updated 5 days ago, so dicom-series-preflight is actively maintained.
- It is released under the Apache-2.0 license, a permissive license that allows use, modification and commercial use with attribution.
- Its trust signals score 100/100, with no cautions. These come from repository metadata, not a code audit — read the skill file before letting an agent act on it.
dicom-series-preflight compared with similar skills
All 4 of these similar skills score higher than dicom-series-preflight; compare them before choosing.
| Skill | Score | Stars | Updated | Format |
|---|---|---|---|---|
| dicom-series-preflight (this skill)by NVIDIA | 87 | 3.4k | 5d ago | SKILL.md |
| siyuanby siyuan-note | 100 | 46.5k | today | MCP Server |
| algorithmic-artby anthropics | 100 | 177.9k | 6d ago | SKILL.md |
| pptxby anthropics | 100 | 177.9k | 6d ago | SKILL.md |
| designby nextlevelbuilder | 100 | 130.2k | 7d ago | SKILL.md |
Frequently asked questions
- How do I install dicom-series-preflight?
- Run
npx skills add NVIDIA/skills --skill dicom-series-preflight. The install tabs above show the steps for each supported agent. - Which AI agents does dicom-series-preflight work with?
- It is written for Universal, as a SKILL.md file. Other agents that read the same format can often use it too.
- Is dicom-series-preflight safe to use?
- It is Apache-2.0-licensed and scores 100/100 on trust signals. Skills are instructions an agent will follow, so read the file before installing it and do not approve commands you do not understand.
- Is dicom-series-preflight still maintained?
- The repository was last updated 5 days ago, so dicom-series-preflight is actively maintained.
Skill content
View source on GitHubname: dicom-series-preflight description: Used for header-only preflight of one DICOM series folder before conversion or inference. Not for de-identification or clinical clearance. license: Apache-2.0 allowed-tools: Bash metadata: author: 'NVIDIA MedTech Team' tags: - MedTech - DICOM - preflight
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_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.
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Trust signals
From repository metadata: license, adoption, age and documentation. Not a code audit — see the Safety scan above for what the skill file itself contains.
