Menu

Individual skill

nv-generate-ct-rflow

Used for generating synthetic CT volumes and masks with NV-Generate-CTMR rflow-ct. Not for production training data without review.

skills/nv-generate-ct-rflow/SKILL.md

Read pinned source

Source commit 25340619336e89bcc40365c28bfe9e790430468e

What was checked

Matches the observed repository HEAD
Yes
Scanner rules are current
Yes
Repository scan complete
No
Skill scan complete
No
Observed behavior
Network or broad shell
Last checked
Nov 2, 2026

These are observations at the recorded commit, not a guarantee of safety. Review the source before running it.

Install this skill

Choose an agent in your Stack or copy a command below. Commands fetch the pinned commit and copy only this skill directory. Existing destinations are refused. Copying a command does not install anything.

An install command is unavailable: current rules, complete repository and skill scans, an eligible behavior level and a permitted license are required.

Repository context

Repository stars (not skill ratings)
3,889
Repository last updated
Nov 6, 2026
License
Apache-2.0

Observed agent integration: No specific integration evidence. Standard SKILL.md installation does not imply verified compatibility.

Files and excerpt

File metadata and permitted, redacted excerpts come from the recorded scan. Source links are pinned to that commit.

Browse files
Read excerpt

# 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.