How do I install the Dicom Volume Quality V1 skill?

Run npx skillmds@latest add nvidia-medtech/dicom-volume-quality-v1 in your terminal (requires Node.js), paste this page's agent-chat prompt into Claude, Cursor, or any MCP-connected agent, or download the SKILL.md file and copy it into your agent's skills directory.

Is Dicom Volume Quality V1 safe to use?

This skill has not completed SkillMD's automated safety review yet. Independent scanners report: SkillSpector: PASS, Skill Scanner: PASS. Capability flags: executes scripts. SkillMD never runs a skill's scripts for you; review the SKILL.md before installing.

Which AI agents work with Dicom Volume Quality V1?

This skill is tagged as working with Claude Code, Claude.ai, OpenAI Codex. SKILL.md is an open format, so most agents that read a skills directory can load it too.

Is Dicom Volume Quality V1 free to use?

Yes. Installing skills from SkillMD is free. This skill is licensed under Apache-2.

Who published Dicom Volume Quality V1?

NVIDIA-Medtech (@nvidia-medtech) published this skill. Their other Agent Skills are listed on their SkillMD profile.

Dicom Volume Quality V1 by nvidia-medtech

Name: Dicom Volume Quality V1
Rating: 4.2 (5 reviews)
Author: NVIDIA-Medtech

File contents

DICOM Volume Quality Verifier

Purpose

Used for deterministic second-pass review of a dicom-series-to-volume evidence pack.
Checks that the source pack passed and that the declared NIfTI artifact matches reported shape, spacing, affine orientation, and voxel range evidence.
Manifest I/O: inputs are dicom_series_to_volume_evidence_pack; outputs are dicom_volume_quality_report.

Instructions

Use this verifier only on an evidence pack directory produced by skills/dicom-series-to-volume.
Run it through eval_engine/run.py when producing verifier evidence.
The verifier entrypoint is scripts/grade.py; do not reimplement its checks in an agent prompt.
Do not treat a pass as clinical validation of conversion quality.

Available Scripts

Script	Purpose	Arguments
`scripts/grade.py`	Primary verifier entrypoint declared by `skill_manifest.yaml`.	`EVIDENCE_PACK_DIR`

Prerequisites

Runtime requirements: Python packages listed in runtime.side_effects.pip_packages.
The input directory must contain manifest.json, validation_summary.json, output.json, and the NIfTI file declared by output.path.

Limitations

Audits the emitted NIfTI and JSON evidence; it does not re-read DICOM inputs.
Does not prove clinical correctness of orientation or HU scaling.
Does not repair non-canonical orientation, spacing, or voxel metadata.

Troubleshooting

Error	Cause	Fix
`target_skill_matches` fails	The fixture is not a `dicom-series-to-volume` evidence pack.	Re-run the verifier against the source skill pack directory.
`output_artifact_exists` fails	The source pack declares a missing or moved NIfTI path.	Keep the NIfTI inside the pack or use a repo-relative path that resolves from the repository root.
`shape_matches_nifti` fails	The JSON output no longer matches the saved NIfTI artifact.	Inspect the source pack and regenerate the evidence after fixing the converter.

Example

python verifiers/dicom_volume_quality_v1/scripts/grade.py \
  examples/evidence_packs/dicom_series_to_volume_pass

python eval_engine/run.py verifiers/dicom_volume_quality_v1 \
  --fixture examples/evidence_packs/dicom_series_to_volume_pass \
  --out runs/dicom_volume_quality

---name: dicom-volume-quality-v1description: Used to verify dicom-series-to-volume evidence packs by comparing JSON geometry evidence with the emitted NIfTI artifact. Not for clinical validation.license: Apache-2.0---# DICOM Volume Quality Verifier## Purpose- Used for deterministic second-pass review of a `dicom-series-to-volume` evidence pack.- Checks that the source pack passed and that the declared NIfTI artifact matches reported shape, spacing, affine orientation, and voxel range evidence.- Manifest I/O: inputs are `dicom_series_to_volume_evidence_pack`; outputs are `dicom_volume_quality_report`.## Instructions- Use this verifier only on an evidence pack directory produced by `skills/dicom-series-to-volume`.- Run it through `eval_engine/run.py` when producing verifier evidence.- The verifier entrypoint is `scripts/grade.py`; do not reimplement its checks in an agent prompt.- Do not treat a pass as clinical validation of conversion quality.## Available Scripts| Script | Purpose | Arguments ||---|---|---|| `scripts/grade.py` | Primary verifier entrypoint declared by `skill_manifest.yaml`. | `EVIDENCE_PACK_DIR` |## Prerequisites- Runtime requirements: Python packages listed in `runtime.side_effects.pip_packages`.- The input directory must contain `manifest.json`, `validation_summary.json`, `output.json`, and the NIfTI file declared by `output.path`.## Limitations- Audits the emitted NIfTI and JSON evidence; it does not re-read DICOM inputs.- Does not prove clinical correctness of orientation or HU scaling.- Does not repair non-canonical orientation, spacing, or voxel metadata.## Troubleshooting| Error | Cause | Fix ||---|---|---|| `target_skill_matches` fails | The fixture is not a `dicom-series-to-volume` evidence pack. | Re-run the verifier against the source skill pack directory. || `output_artifact_exists` fails | The source pack declares a missing or moved NIfTI path. | Keep the NIfTI inside the pack or use a repo-relative path that resolves from the repository root. || `shape_matches_nifti` fails | The JSON output no longer matches the saved NIfTI artifact. | Inspect the source pack and regenerate the evidence after fixing the converter. |## Example```bashpython verifiers/dicom_volume_quality_v1/scripts/grade.py \ examples/evidence_packs/dicom_series_to_volume_passpython eval_engine/run.py verifiers/dicom_volume_quality_v1 \ --fixture examples/evidence_packs/dicom_series_to_volume_pass \ --out runs/dicom_volume_quality```

Frequently asked questions

Dicom Volume Quality V1