Agent Skills

dicom-series-preflight

researchnvidia1.9K installs

Used for header-only preflight of one DICOM series folder before conversion or inference. Not for de-identification or clinical clearance.

Install

npx skills add https://github.com/nvidia/skills --skill dicom-series-preflight
SKILL.md

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

researchmattpocock575KInvestigate a question against high-trust primary sources and capture the findings as a Markdown file in the repo. Use when the user wants a topic researched, docs or API facts gathered, or reading legwork delegated to a background agent.paper-context-resolverlllllllama451KRigor Paper Context helper for README-first deep learning repo reproduction. Use only when the README and repository files leave a narrow reproduction-critical gap and the task is to resolve a specific paper detail such as dataset split, preprocessing, evaluation protocol, checkpoint mapping, or runtime assumption from primary paper sources while recording conflicts. Do not use for general paper summary, repo scanning, environment setup, command execution, title-only paper lookup, or replacing Renv-and-assets-bootstraplllllllama450KRigor Setup skill for README-first deep learning repo reproduction. Use when the task is specifically to prepare a conservative conda-first environment, checkpoint and dataset path assumptions, cache location hints, and setup notes before any run on a README-documented repository. Do not use for repo scanning, full orchestration, paper interpretation, final run reporting, or generic environment setup that is not tied to a specific reproduction target.ai-research-explorelllllllama311KRigor Explore compatible skill slug for meaningful and potentially novel deep learning research candidates. Use when the researcher has chosen the task family, dataset, benchmark, evaluation method, provided SOTA references, and wants candidate-only exploration on top of `current_research` with auditable repo understanding, idea gating, fair comparison, and governed experiments written to `explore_outputs/`. Do not use for README-first trusted reproduction, open-ended direction finding, narrow c

Search skills and MCP servers

Fuzzy search across 23,137 skills and servers