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well-formed-target-skill

Sterne6

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Aktualisiert30. Mai 2026 um 13:01

Minimal positive fixture for skill-completeness-v1 with required files and fields present.

Installation

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Quelle

NVIDIA-Medtech

NVIDIA-Medtech/medical-AI-skills

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Verwandte BerufeSOC

Basierend auf der SOC-Berufsklassifikation

SoftwareentwicklerInformatik- und Mathematikberufe·SOC 15-1252

Datei-Explorer

4 Dateien

SKILL.md

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name	well-formed-target-skill
description	Minimal positive fixture for skill-completeness-v1 with required files and fields present.

well_formed_target_skill

Small positive fixture for skill_completeness_v1. It is not an example medical skill; use skills/dicom-metadata-extract/ as the real template.

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gleiches Repository

skill-completeness-v1

NVIDIA-Medtech/medical-AI-skills

Grades a skill or verifier directory for required files, valid manifest structure, side-effect declarations, validation gates, paired-verifier resolution, fixtures, and authoring hygiene. Engineering verification only.

2026-07-086

ct-segmentation-finetune-quality-v1

NVIDIA-Medtech/medical-AI-skills

Deterministic verifier for nv_segment_ct_finetune evidence packs. Audits the finetuned checkpoint, training trajectory, and dataset audit signals already recorded by the wrapper. Engineering verification only.

2026-05-316

ct-segmentation-quality-v1

NVIDIA-Medtech/medical-AI-skills

Audits nv_segment_ct evidence packs for label-map readability, anatomy plausibility (organ volume bounds, fragmentation, bilateral symmetry, liver-larger-than-spleen), and optional per-class Dice/IoU against a referenced ground-truth label map. Engineering verification only.

2026-05-316

ct-synthesis-quality-v1

NVIDIA-Medtech/medical-AI-skills

Deterministic paired verifier for nv_generate_ct_rflow evidence packs. Audits per-sample image/mask geometry, CT-HU plausibility, mask label-set sanity, declared output-label coverage, and lung-lobe HU plausibility. CPU-only; does not re-run synthesis.

2026-05-316

dicom-metadata-quality-v1

NVIDIA-Medtech/medical-AI-skills

Used to verify dicom-metadata-extract evidence packs for source gate success, header fact completeness, PHI-flag consistency, and scope disclosure. Not for de-identification.

2026-05-316

dicom-preflight-quality-v1

NVIDIA-Medtech/medical-AI-skills

Audits dicom_series_preflight evidence packs for pass/warn/fail preflight verdicts with explicit corruption, orientation, PHI, and consistency findings.

2026-05-316

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