I4h Workflow Finetune

What it does

When your agent uses it

• Do not use for inference-only Tasks
• Checkpoint rollout

Example prompts

• “/i4h-workflow-finetune”

Requirements

• Python 3

Workflow steps

4 steps, taken from the first numbered list in SKILL.md.

1. 1Resolve the base checkout, policy mode, and remote task.
2. 2Verify dataset compatibility and a train block.
3. 3Dry-run the exact configuration.
4. 4Train in the foreground and verify checkpoint artifacts.

What it can do on your machine

Read from SKILL.md and the folder at commit dfdd080. It shows what the files ask for, not the result of running them.

• Tool permissions

  Pre-approves nothing: there is no allowed-tools line, so your agent's usual permission prompts apply.

  From allowed-tools in the SKILL.md frontmatter.

• Runs code

  Shell commands in SKILL.md call:

  • uv
  • git

  From the folder's file list and the shell code blocks in SKILL.md.

• Network

  Hosts in commands or code, which the agent is likely to contact:

  • github.com

  From URLs in SKILL.md, links to its own repository left out.

• Credentials

  Names no API keys, tokens, secrets or passwords.

  From names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.

Context cost

I4h Workflow Finetune loads about 1.5k tokens when it runs. Until then it costs about 46 tokens; SKILL.md has 527 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it

~46

When it runs · the whole SKILL.md, loaded when a task matches

~1.5k

Estimates: characters ÷ 4, the usual rule of thumb; real counts depend on the model's tokenizer. Scripts and assets cost tokens only if the agent reads them.

Safety

Automated static check — not a guarantee. Review scripts before installing. It scans the text of SKILL.md for risky patterns (piping downloads into a shell, reading credential files, hidden Unicode, destructive commands); files beside SKILL.md are not scanned.

SKILL.md

The full file from NVIDIA/skills at commit dfdd080, republished under its Apache-2.0 licence (© NVIDIA). 527 words, ~1,463 tokens.

name

i4h-workflow-finetune

description

Fine-tune a manifest-backed GR00T or openpi remote Task on compatible LeRobot data. Use for training; do not use for inference-only Tasks or checkpoint rollout.

license

Apache-2.0

metadata.author

Isaac for Healthcare Team <isaac-for-healthcare-support@nvidia.com>

metadata.version

0.8.0

metadata.verification-request

2026-09-15

metadata.tags

isaac-for-healthcare, i4h, lerobot, gr00t, openpi

export I4H_WORKFLOWS_REPO_URL="${I4H_WORKFLOWS_REPO_URL:-https://github.com/isaac-for-healthcare/i4h-workflows}"
I4H_REPO_DIR_NAME="${I4H_WORKFLOWS_REPO_URL%/}"
I4H_REPO_DIR_NAME="${I4H_REPO_DIR_NAME##*/}"
I4H_REPO_DIR_NAME="${I4H_REPO_DIR_NAME##*:}"
I4H_REPO_DIR_NAME="${I4H_REPO_DIR_NAME%.git}"
[ -n "$I4H_REPO_DIR_NAME" ] || { echo "Cannot derive a checkout name from I4H_WORKFLOWS_REPO_URL" >&2; exit 2; }
ROOT="${I4H_WORKFLOWS:-$(git rev-parse --show-toplevel 2>/dev/null)}"
if [ ! -d "$ROOT/workflows/i4h_workflows" ]; then
  ROOT="${I4H_WORKFLOWS:-$HOME/$I4H_REPO_DIR_NAME}"
  [ -d "$ROOT/workflows/i4h_workflows" ] || git clone "$I4H_WORKFLOWS_REPO_URL" "$ROOT"
fi
export I4H_WORKFLOWS="$ROOT"
cd "$ROOT"
./run.sh list
./run.sh show <workflow> --mode <policy-mode>
test -f /absolute/path/to/dataset/meta/info.json
nvidia-smi

uv run --project "tasks/<project>" "i4h-tasks-<project-with-hyphens>-train" \
  --task <project>/<task> \
  --dataset /absolute/path/to/dataset \
  --output-dir /absolute/path/to/checkpoints \
  --max-steps <N> \
  --batch-size <N> \
  --dry-run

uv run --project "tasks/<project>" "i4h-tasks-<project-with-hyphens>-train" \
  --task <project>/<task> \
  --dataset /absolute/path/to/dataset \
  --output-dir /absolute/path/to/checkpoints \
  --max-steps <N> \
  --save-steps <N> \
  --batch-size <N> \
  --num-gpus <N>

uv run --project "tasks/<project>" python -m "<project>.server" \
  --namespace "checkpoint-smoke-$$" \
  --preload <project>/<task> \
  --checkpoint /absolute/path/to/checkpoint \
  --preload-only

© NVIDIA, Apache-2.0. Rendered from Markdown: HTML in the file is shown as text, images as links, and headings moved down two levels. Raw file

Files

SKILL.md and 4 other files in skills/i4h-workflow-finetune of NVIDIA/skills.

• SKILL.md
• BENCHMARK.md
• evals/evals.json
• skill-card.md
• skill.oms.sig

Open the folder on GitHubat commit dfdd080

Used in 1 other repository

We found 1 copy of this SKILL.md (exact, near-identical or edited) in other folders, from 1 other GitHub owner. This page covers the copy in NVIDIA/skills, which our catalogue first saw on October 7, 2026.

• isaac-for-healthcare/i4h-workflowsskills/i4h-workflow-finetune