Individual skill
nv-generate-mr
Used for generating synthetic body MRI volumes with NV-Generate-CTMR rflow-mr. Not for paired masks or production training data.
skills/nv-generate-mr/SKILL.md
Source commit 25340619336e89bcc40365c28bfe9e790430468e
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- License
- Apache-2.0
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- agent-skills Repository topic
- agentic-ai Repository topic
- ai-agents Repository topic
- claude-code Repository topic
- codex Repository topic
- coding-agents Repository topic
- cuda Repository topic
- developer-tools Repository topic
- llm Repository topic
- omniverse Repository topic
- medtech Declared skill tag
- mri Declared skill tag
- generation Declared skill tag
- data Derived category
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BENCHMARK.mddoc · 3,987 bytesSKILL.mdcore · 8,037 bytesSKILL.mdcore · 8,037 bytesSKILL.mdcore · 8,037 bytesSKILL.mdcore · 8,037 bytesSKILL.mdcore · 8,037 bytesSKILL.mdcore · 8,037 bytesevals/evals.jsonasset · 1,156 bytesfixtures/README.mddoc · 925 bytesfixtures/default_mri_t1.jsonasset · 313 bytesfixtures/mri_flair.jsonasset · 233 bytesfixtures/mri_t2.jsonasset · 227 bytesreferences/fov-and-downloads.mddoc · 1,011 bytesscripts/run_mr.pyruns · 25,983 bytesskill-card.mddoc · 4,161 bytesskill.oms.sigasset · 6,697 bytesskill_manifest.yamlasset · 7,517 bytestests/test_run_mr.pyruns · 6,486 bytesvalidators/output_schema.jsonasset · 5,646 bytes
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# NV-Generate-MR
## Purpose
- Used for generating synthetic body MRI volumes with NV-Generate-CTMR rflow-mr. Not for paired masks or production training data.
- 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, and validation.
- Manifest I/O: inputs are `model_config_override`; outputs are `synthetic_mr_volumes` and `result_json`.
## Instructions
- Read `skill_manifest.yaml` before changing arguments, side effects, or validation gates.
- Run `scripts/run_mr.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_mr.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.