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
✓ PassedNo 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.
Verified badge
Passed review? Show it. Paste this badge into your README, it links to the public security report.
Reliability & compatibility
Declared compatibility
Compatibility is declared by the source manifest. End-to-end runtime verification is coming, see below.
We're building live execution health for every listing: tool-call success rate, median latency, uptime, and last-checked timestamps, measured, not self-reported. It isn't live yet, so we don't show numbers we can't stand behind.
How agent discovery & health will work →About
NV Reason CXR Quality Verifier
Purpose
- Used for deterministic second-pass review of an
nv-reason-cxrevidence 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 arenv_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.pywhen 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, andoutput.jsonfrom annv-reason-cxrevidence 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.
- Author: NVIDIA-Medtech
- Source: NVIDIA-Medtech/medical-AI-skills
- License: Apache-2.0
Install and usage instructions live in the source repository linked above.
Reviews
No reviews yet, be the first.
Write a review
Versions
- v0.1.0 Imported from the upstream source.