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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-preflight

Installs into whichever agent you are using.

About this skill
📄

SKILL.md

Installable skill definition

Quality Score

87/100

Supported Platforms

Universal

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.

Substance
26/30
Structure
16/20
Description
15/15
Adoption
15/20
Freshness
15/15

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.

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dicom-series-preflight (this skill)by NVIDIA873.4k5d agoSKILL.md
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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.

name: 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 are preflight_json.

Instructions

  • Read skill_manifest.yaml before changing arguments, side effects, or validation gates.
  • Run scripts/preflight_series.py through the documented command below; keep outputs under a caller-provided run directory.
  • If a host agent exposes run_script, use run_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.

Related Skills

View on GitHub
GitHub Stars3.4k
CategoryContent
Updated5d ago
Forks412

Languages

Python

Trust signals

100/100

From repository metadata: license, adoption, age and documentation. Not a code audit — see the Safety scan above for what the skill file itself contains.

No cautions