NV-Generate-CT (rflow-ct) Purpose Used for generating synthetic CT volumes and masks with NV-Generate-CTMR rflow-ct. Not for production training data without review. Use the wrapper exactly as documented; do not replace the upstream entrypoint with a handwritten implementation. Do not write custom inference code for normal runs. The wrapper owns config staging, output paths, label mapping evidence, and validation. Manifest I/O: inputs are config_infer_override ; outputs are synthetic_ct_volumes and result_json . Instructions Read skill_manifest.yaml before changing arguments, side effects, or validation gates. Run scripts/run_rflow_ct.py through the documented command below; keep outputs under a caller-provided run directory. If a host agent exposes run_script , use run_script("scripts/run_rflow_ct.py", args=[...]) ; otherwise run the Bash/Python command shown below. Emit a single bash code block, and keep the python -m pip install -r "$NV_GENERATE_ROOT/requirements.txt" step in that same command — the runtime may be a fresh environment without nibabel /MONAI, so dropping the install fails with ModuleNotFoundError . Do not add rm , mkdir , or any cleanup of --output-dir ; the wrapper creates it. Use a fresh --output-dir instead of deleting one. Check the emitted JSON and paired verifier guidance before treating the run as evidence. Show more Installs 537 Repository nvidia/skills GitHub Stars 1.3K First Seen May 31, 2026 Security Audits Gen Agent Trust Hub Pass Socket Pass Snyk Pass
nv-generate-ct-rflow
安装
npx skills add https://github.com/nvidia/skills --skill nv-generate-ct-rflow