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SKILL verified Apache-2.0 Self-run

Nv Reason Cxr Quality V1

skill-nvidia-medtech-medical-ai-skills-nv-reason-cxr-quality-v1 · by NVIDIA-Medtech

Used to verify nv-reason-cxr evidence packs for source-pack success, fixture/image hash binding, NV-Reason-CXR runtime identity, response shape, scope disclosure, and conservative forbidden overreach phrases.

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Install

$ agentstack add skill-nvidia-medtech-medical-ai-skills-nv-reason-cxr-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.

Preview Execution monitoring

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About

NV Reason CXR Quality Verifier

Purpose

  • Used for deterministic second-pass review of an nv-reason-cxr evidence pack.
  • Checks source-pack success, fixture case/prompt binding, image readability and hash, model/runtime identity, output response shape, limitation disclosure, and forbidden overreach phrases.
  • Manifest I/O: inputs are nv_reason_cxr_evidence_pack; outputs are nv_reason_cxr_quality_report.

Instructions

  • Use this verifier only on an evidence pack directory produced by skills/nv-reason-cxr.
  • 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 engineering evidence only, not as validation of clinical correctness or model quality.

Available Scripts

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

Prerequisites

  • Runtime requirements: Python standard library only.
  • The input directory must contain manifest.json, validation_summary.json, and output.json from an nv-reason-cxr evidence pack.
  • The recorded fixture path and image artifact must be available for full fixture/image binding.

Limitations

  • Does not validate chest X-ray interpretation, model correctness, report completeness, or medical actionability.
  • Forbidden-phrase checks are regex-based and can miss paraphrases.
  • Mock-mode packs prove wrapper and gate wiring; they do not prove live NV-Reason-CXR-3B model behavior.

Troubleshooting

| Error | Cause | Fix | |---|---|---| | target_skill_matches fails | The fixture is not an nv-reason-cxr evidence pack. | Re-run the verifier against the source skill pack directory. | | fixture_loaded fails | The source pack references a fixture that is unavailable in this checkout. | Regenerate the source pack with a committed synthetic fixture. | | image_sha256_matches fails | The recorded image artifact changed or is unavailable. | Regenerate the source pack or inspect artifact provenance. | | forbidden_phrases_absent fails | Output contains treatment, regulatory, patient-directed, or absolute-certainty language. | Fix the source skill prompt/runtime guard and regenerate evidence. |

Example

MOCK_NV_REASON_CXR=1 python eval_engine/run.py skills/nv-reason-cxr \
  --fixture skills/nv-reason-cxr/fixtures/synthetic_cxr_input.json \
  --out runs/nv_reason_cxr_demo

python eval_engine/run.py verifiers/nv_reason_cxr_quality_v1 \
  --fixture runs/nv_reason_cxr_demo \
  --out runs/nv_reason_cxr_quality

python verifiers/nv_reason_cxr_quality_v1/scripts/grade.py \
  runs/nv_reason_cxr_demo

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.