How do I install the Mr Synthesis Quality V1 skill?

Run npx skillmds@latest add nvidia-medtech/mr-synthesis-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 Mr Synthesis 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 Mr Synthesis 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 Mr Synthesis Quality V1 free to use?

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

Who published Mr Synthesis Quality V1?

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

Mr Synthesis Quality V1 by nvidia-medtech

Name: Mr Synthesis Quality V1
Rating: 4.2 (5 reviews)
Author: NVIDIA-Medtech

Mr Synthesis Quality V1

Used to verify nv-generate-mr and nv-generate-mr-brain evidence packs by re-reading generated MR NIfTI images and checking geometry, finite nonconstant nonnegative intensities, runtime identity, and scope disclosure.

File contents

MR Synthesis Quality Verifier

Purpose

Used for deterministic second-pass review of nv-generate-mr and nv-generate-mr-brain evidence packs.
Re-reads generated image artifacts and checks source-pack success, upstream entrypoint identity, model inventory, modality/version identity, shape and spacing consistency, finite nonconstant nonnegative voxel values, aggregate-flag honesty, runtime identity, and scope disclosure.
Manifest I/O: inputs are nv_generate_mr_evidence_pack; outputs are mr_synthesis_quality_report.

Instructions

Use this verifier only on evidence packs produced by skills/nv-generate-mr or skills/nv-generate-mr-brain.
Run it through eval_engine/run.py when producing verifier evidence.
The verifier entrypoint is scripts/grade.py; do not replace it with prompt-only review.
Treat a pass as an engineering floor only, not as validation of anatomical realism, diagnostic utility, or training-data suitability.

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, and output.json from a supported MR generation evidence pack.
Referenced generated image artifacts must be available for NIfTI header/data checks.

Limitations

Does not validate anatomical realism, radiologic image quality, diagnosis, regulatory claims, or production training-data suitability.
Basic numeric checks catch empty/corrupt outputs, not subtle model failures.
Does not re-run the upstream diffusion model.

Troubleshooting

Error	Cause	Fix
`target_skill_matches` fails	The fixture is not an `nv-generate-mr` or `nv-generate-mr-brain` evidence pack.	Re-run the verifier against a supported source pack.
`image_artifacts_readable` fails	A generated NIfTI path is missing, moved, or unreadable.	Regenerate or restore the source evidence pack artifacts.
`image_values_nonconstant` fails	The generated image is constant or nearly empty.	Inspect upstream logs and regenerate evidence after fixing runtime/input issues.
`aggregate_flags_match_recomputed` fails	Source output flags disagree with verifier recomputation.	Fix the wrapper summary logic and regenerate the source pack.

Example

python eval_engine/run.py verifiers/mr_synthesis_quality_v1 \
  --fixture runs/nv_generate_mr_demo \
  --out runs/mr_synthesis_quality

python verifiers/mr_synthesis_quality_v1/scripts/grade.py \
  runs/nv_generate_mr_demo

---name: mr-synthesis-quality-v1description: Used to verify nv-generate-mr and nv-generate-mr-brain evidence packs by re-reading generated MR NIfTI images and checking geometry, finite nonconstant nonnegative intensities, runtime identity, and scope disclosure.license: Apache-2.0---# MR Synthesis Quality Verifier## Purpose- Used for deterministic second-pass review of `nv-generate-mr` and `nv-generate-mr-brain` evidence packs.- Re-reads generated image artifacts and checks source-pack success, upstream entrypoint identity, model inventory, modality/version identity, shape and spacing consistency, finite nonconstant nonnegative voxel values, aggregate-flag honesty, runtime identity, and scope disclosure.- Manifest I/O: inputs are `nv_generate_mr_evidence_pack`; outputs are `mr_synthesis_quality_report`.## Instructions- Use this verifier only on evidence packs produced by `skills/nv-generate-mr` or `skills/nv-generate-mr-brain`.- Run it through `eval_engine/run.py` when producing verifier evidence.- The verifier entrypoint is `scripts/grade.py`; do not replace it with prompt-only review.- Treat a pass as an engineering floor only, not as validation of anatomical realism, diagnostic utility, or training-data suitability.## 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`, and `output.json` from a supported MR generation evidence pack.- Referenced generated image artifacts must be available for NIfTI header/data checks.## Limitations- Does not validate anatomical realism, radiologic image quality, diagnosis, regulatory claims, or production training-data suitability.- Basic numeric checks catch empty/corrupt outputs, not subtle model failures.- Does not re-run the upstream diffusion model.## Troubleshooting| Error | Cause | Fix ||---|---|---|| `target_skill_matches` fails | The fixture is not an `nv-generate-mr` or `nv-generate-mr-brain` evidence pack. | Re-run the verifier against a supported source pack. || `image_artifacts_readable` fails | A generated NIfTI path is missing, moved, or unreadable. | Regenerate or restore the source evidence pack artifacts. || `image_values_nonconstant` fails | The generated image is constant or nearly empty. | Inspect upstream logs and regenerate evidence after fixing runtime/input issues. || `aggregate_flags_match_recomputed` fails | Source output flags disagree with verifier recomputation. | Fix the wrapper summary logic and regenerate the source pack. |## Example```bashpython eval_engine/run.py verifiers/mr_synthesis_quality_v1 \ --fixture runs/nv_generate_mr_demo \ --out runs/mr_synthesis_qualitypython verifiers/mr_synthesis_quality_v1/scripts/grade.py \ runs/nv_generate_mr_demo```

Frequently asked questions