Individual skill

nv-reason-ct

Run NV-Reason-CT inference on user-provided 3D NIfTI chest or abdominal CT volumes for engineering and research workflows. Not for diagnosis, treatment, or clinical reporting.

skills/nv-reason-ct/SKILL.md

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Repository stars (not skill ratings): 3,911
Repository last updated: Nov 6, 2026
License: Apache-2.0

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medtech Declared skill tag
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BENCHMARK.mddoc · 9,274 bytes
EXAMPLES.mddoc · 6,559 bytes
LICENSEasset · 11,309 bytes
SKILL.mdcore · 18,236 bytes
SKILL.mdcore · 18,236 bytes
SKILL.mdcore · 18,236 bytes
SKILL.mdcore · 18,236 bytes
evals/evals.jsonasset · 9,185 bytes
fixtures/example_request.jsonasset · 193 bytes
scripts/run_nv_reason_ct.pyruns · 31,225 bytes
skill-card.mddoc · 4,329 bytes
skill.oms.sigasset · 6,677 bytes
skill_manifest.yamlasset · 9,343 bytes
tests/conftest.pyruns · 3,535 bytes
tests/test_nv_reason_ct.pyruns · 33,348 bytes
tests/test_upstream_examples.pyruns · 6,478 bytes
validators/output_schema.jsonasset · 4,959 bytes

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# NV-Reason-CT

## Purpose

- Runs the documented `nvidia/NV-Reason-CT` Hugging Face Transformers path on one user-provided 3D NIfTI CT volume and text prompt.
- Emits `result_json` with input geometry and hash, anatomy-region selection, response text, runtime identity, dependency versions, and limitations.
- Manifest I/O: inputs are `ct_request_or_fixture` and optional direct `ct_volume`; output is `result_json` on stdout.
- Not for diagnosis, treatment, triage, patient-facing output, or clinical reporting.

## Instructions

1. Read `skill_manifest.yaml` before changing arguments, dependencies, side effects, or validation gates.
2. Run `scripts/run_nv_reason_ct.py`; do not write replacement inference code or use the Gradio demo for normal runs. Before inference, explain that the selected model and processor contain custom Python code running with the caller's permissions. Review the selected Hub revision or local export and obtain the caller's explicit authorization to load that code; ask if it has not already been granted. Only then pass `--trust-model-code`. Do not infer this consent from a CT request file, environment setting, cached files, or a successful setup check.
3. After that authorization, hosts exposing a helper may use `run_script("scripts/run_nv_reason_ct.py", args=["PATH_TO_CT.nii.gz", "--trust-model-code", "--anatomy-region", "chest", "--prompt", "PROMPT", "--out-dir", "OUT_DIR"])`.