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SKILL verified Apache-2.0 Self-run

Dicom Preflight Quality V1

skill-nvidia-medtech-medical-ai-skills-dicom-preflight-quality-v1 · by NVIDIA-Medtech

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

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Install

$ agentstack add skill-nvidia-medtech-medical-ai-skills-dicom-preflight-quality-v1

✓ scanned · ✓ verified, works with Claude Code, Cursor, and more.

Security review

✓ Passed

No issues found. Passed automated security review. · v0.1.0 How review works →

  • ✓ Prompt-injection patterns
  • ✓ Secret / credential exfiltration
  • ✓ Dangerous shell & filesystem operations
  • ✓ Untrusted network calls
  • ✓ Known-malicious package signatures

What it can access

  • ✓ Network access No
  • ✓ Filesystem access No
  • ✓ Shell / process execution No
  • ✓ Environment & secrets No
  • ✓ Dynamic code execution No

From automated source analysis of v0.1.0. “Used” means the capability is present in the source — more access means more to trust, not that it’s unsafe.

View the full security report →

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Reliability & compatibility

✓ Security review passed
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Declared compatibility

Claude CodeClaude Desktop

Compatibility is declared by the source manifest. End-to-end runtime verification is coming, see below.

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About

dicompreflightquality_v1

Purpose

  • Audits dicom_series_preflight evidence packs for explicit pass/warn/fail preflight findings.
  • Use this after the preflight wrapper has inspected a DICOM series and written an evidence pack. Engineering verification only.
  • Manifest I/O: inputs are dicom_series_preflight_evidence_pack; outputs are dicom_preflight_quality_report.

Instructions

  • Run scripts/grade.py on the preflight evidence-pack directory.
  • If a host agent exposes run_script, use run_script("scripts/grade.py", args=["RUNS/PREFLIGHT_PACK"]).
  • Prefer the eval-engine command when you need a verifier evidence pack; use the direct Python command for quick local inspection.

Available Scripts

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

Prerequisites

  • The target pack must contain output.json and validation_summary.json.
  • The source preflight run should have completed before this verifier is called.

Limitations

  • This verifier audits recorded preflight findings; it does not re-read every DICOM instance.
  • Not for clinical de-identification, PHI clearance, or regulatory sign-off.

Troubleshooting

| Error | Cause | Fix | |---|---|---| | Missing pack JSON | The fixture path is not a completed evidence pack. | Point to the source preflight run directory. | | Unexpected fail verdict | The source preflight pack recorded fail-level findings. | Inspect preflight_gate.findings in the verifier output. | | No findings | The source wrapper did not emit preflight details. | Re-run the source skill and preserve output.json. |

Paired verifier for skills/dicom-series-preflight.

python verifiers/dicom_preflight_quality_v1/scripts/grade.py runs/preflight_trusted
make run-trusted SKILL=dicom_series_preflight \
  FIXTURE=skills/dicom-series-preflight/fixtures/clean_no_phi \
  OUT=runs/preflight_trusted

Reads the target pack's output.json and validation_summary.json. Emits overall of pass, warn, or fail plus a preflight_gate.findings list.

Not for clinical de-identification or regulatory clearance.

Source & license

This open-source skill is cataloged on AgentStack and links to its original source — we do not rehost the code.

Install and usage instructions live in the source repository linked above.

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Versions

  • v0.1.0 Imported from the upstream source.

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