Official agent skill

I4h Workflow Dataset Mimic

by NVIDIA in NVIDIA/skills

Expand workflow HDF5 demonstrations with action jitter, optionally scoped to node segments.

OfficialApache-2.0Auto-check passed

Install I4h Workflow Dataset Mimic

skills CLI
$ npx skills add NVIDIA/skills --skill i4h-workflow-dataset-mimic -a claude-code

Project install by default; add -g for ~/.claude/skills/.

GitHub CLI
$ gh skill install NVIDIA/skills i4h-workflow-dataset-mimic --agent claude-code

Project scope by default; add --scope user for a personal install. Needs GitHub CLI 2.90.0 or later (public preview).

Manual copy
$ git clone --depth 1 https://github.com/NVIDIA/skills.git skills-src && mkdir -p .claude/skills && cp -r skills-src/skills/i4h-workflow-dataset-mimic .claude/skills/i4h-workflow-dataset-mimic && rm -rf skills-src

Use ~/.claude/skills/ instead of .claude/skills for a personal install. The folder must contain SKILL.md.

Claude Code skills documentation · loads skills from .claude/skills/

Facts

Skill name
i4h-workflow-dataset-mimic
GitHub stars
3.5k
Used in
1 other repo
Token cost
~982 tokens
SKILL.md length
293 words
Files
5
Skills in repo
386
Repo updated
First seen
Licence
Apache-2.0

At a glance

Expand workflow HDF5 demonstrations with action jitter, optionally scoped to node segments.

  • Works in 4 steps: Run the checkout resolver and select the… → Inspect successful episodes and segments. → Run mimic to generate the requested… → …
  • Synthetic variants
  • SKILL.md covers Purpose, Instructions, Resolve and inspect and Expand, plus 6 more sections
  • Calls uv and git; reaches github.com

What it does

I4h Workflow Dataset Mimic is an agent skill from NVIDIA/skills, published by the product's own GitHub organization. Expand workflow HDF5 demonstrations with action jitter, optionally scoped to node segments. Use for synthetic variants; do not use to collect data, alter state directly, or generate new images.

Its SKILL.md is about 980 tokens, which your agent loads only when the skill is triggered. The skill folder holds 5 other files (for example `BENCHMARK.md`, `evals/evals.json` and `skill-card.md`).

The repository describes itself as: Agent Skills for NVIDIA products — install into Claude Code, Codex, and other coding agents to run Physical AI, robotics, simulation, CUDA, and RAG workflows end to end. The licence is Apache-2.0.

When your agent uses it

  • Synthetic variants
  • Do not use to collect data
  • Alter state directly
  • Generate new images

Example prompts

  • “/i4h-workflow-dataset-mimic”

Workflow steps

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

  1. Run the checkout resolver and select the source HDF5.
  2. Inspect successful episodes and segments.
  3. Run mimic to generate the requested additional action-jitter variants.
  4. Compare exact counts and preserved contracts.

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 Dataset Mimic loads about 982 tokens when it runs. Until then it costs about 55 tokens; SKILL.md has 293 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it
~55
When it runs · the whole SKILL.md, loaded when a task matches
~982

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

Auto-check passed

The automated check found no risky patterns in SKILL.md.

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). 293 words, ~982 tokens.

Download SKILL.mdSave it as .claude/skills/i4h-workflow-dataset-mimic/SKILL.md (or your agent's skills folder). This skill also uses 4 other files; get the full folder from GitHub.
name
i4h-workflow-dataset-mimic
description
Expand workflow HDF5 demonstrations with action jitter, optionally scoped to node segments. Use for synthetic variants; do not use to collect data, alter state directly, or generate new images.
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, dataset, augmentation, hdf5

Mimic Workflow Demonstrations

Purpose

Clone successful source episodes and perturb recorded actions.

Instructions

  1. Run the checkout resolver and select the source HDF5.
  2. Inspect successful episodes and segments.
  3. Run mimic to generate the requested additional action-jitter variants.
  4. Compare exact counts and preserved contracts.

Resolve and inspect

bash
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 "$ROOT"
HDF5_PATH=/absolute/path/to/source.hdf5
uv run --project tools/dataset i4h-dataset inspect "$HDF5_PATH" --segments

Treat the resolver above as part of the skill contract: a hosted copy may run outside the base repository, so never assume the current checkout contains workflows/i4h_workflows. I4H_WORKFLOWS_REPO_URL selects the clone source. When I4H_WORKFLOWS is unset, derive the fallback directory from that URL; set I4H_WORKFLOWS only to reuse or choose a specific destination. Never replace an existing checkout.

Use the explicit/current-chain recording. Require at least one successful source episode. If the user asks for node-scoped jitter, require that node in segment metadata.

Expand

bash
RUN_DIR="$(pwd)/runs/<workflow>/$(date +%Y%m%d_%H%M%S)"
mkdir -p "$RUN_DIR"
uv run --project tools/mimic i4h-mimic \
  "$HDF5_PATH" "$RUN_DIR/expanded.hdf5" \
  --episodes <additional-count> \
  --noise 0.01 \
  --seed <seed> \
  --include-source \
  --successful-only

--episodes is the number of generated variants, not the final total. Add --node <node-id> only when requested. Preserve the default deterministic seed unless the user supplies another.

Verify and compose

bash
uv run --project tools/dataset i4h-dataset inspect "$RUN_DIR/expanded.hdf5" --segments

Confirm source count, generated count, dimensions, success flags, and segment preservation. Reject zero generated episodes.

If the same prompt requests visualization, continue with i4h-workflow-dataset-convert, then i4h-lerobot-viz; raw HDF5 is not a LeRobot visualizer input.

Troubleshooting

On failure, inspect the first episode shape or segment error. If a requested node is absent, report available node ids.

Prerequisites

Require a readable HDF5 file with at least one successful episode and valid segments for node-scoped jitter.

Limitations

The current tool does not independently add state noise, rerun physics, or synthesize camera frames.

Examples

  • Mimic 3 more episodes and visualize my dataset. → generate three variants, convert the expanded HDF5, then launch LeRobot visualization.

Completion gate

Report input/output paths, source and generated counts, final total, action-noise value, seed, optional node, limitations, and conversion/visualizer result when requested.

© 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-dataset-mimic 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.

Compare with similar skills

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Dataset Curationwshobson/agents40k—~2kAutomated safety check: PassMIT
Arize Datasetgithub/awesome-copilot40k1 repos~3.9kAutomated safety check: NotesMIT

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Questions about I4h Workflow Dataset Mimic

What does I4h Workflow Dataset Mimic do?

Expand workflow HDF5 demonstrations with action jitter, optionally scoped to node segments. I4h Workflow Dataset Mimic is an agent skill from NVIDIA/skills, published by the product's own GitHub organization. Expand workflow HDF5 demonstrations with action jitter, optionally scoped to node segments.

When should I use I4h Workflow Dataset Mimic?

I4h Workflow Dataset Mimic fits situations like: synthetic variants; do not use to collect data; alter state directly; generate new images.

How do I install I4h Workflow Dataset Mimic in Claude Code?

Run `npx skills add NVIDIA/skills --skill i4h-workflow-dataset-mimic -a claude-code`. Or copy the skill folder (skills/i4h-workflow-dataset-mimic in NVIDIA/skills) into .claude/skills/i4h-workflow-dataset-mimic in your project. Claude Code loads it when a task matches its description.

How do I install I4h Workflow Dataset Mimic in Codex?

Run `npx skills add NVIDIA/skills --skill i4h-workflow-dataset-mimic -a codex`. Or copy the skill folder (skills/i4h-workflow-dataset-mimic in NVIDIA/skills) into .agents/skills/i4h-workflow-dataset-mimic in your project. Codex loads it when a task matches its description.

Can I use I4h Workflow Dataset Mimic in Cursor, Gemini CLI or GitHub Copilot?

Cursor, Gemini CLI, GitHub Copilot and OpenCode also load SKILL.md folders. With the skills CLI, run `npx skills add NVIDIA/skills --skill i4h-workflow-dataset-mimic -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/i4h-workflow-dataset-mimic, .gemini/skills/i4h-workflow-dataset-mimic, .github/skills/i4h-workflow-dataset-mimic and .opencode/skills/i4h-workflow-dataset-mimic in your project.

What does I4h Workflow Dataset Mimic need to run?

Going by SKILL.md and its folder, I4h Workflow Dataset Mimic needs the command-line tools its instructions call (uv and git).

Does I4h Workflow Dataset Mimic access the network?

SKILL.md names 1 domain. In commands or code: github.com; the agent is likely to contact it when it follows the instructions. This is read from the text; nothing was executed.

Is I4h Workflow Dataset Mimic safe to install?

Our automated static check of SKILL.md found no risky patterns, such as piping downloads into a shell, reading credential files or hidden Unicode. It is not a guarantee. Review the folder before installing.

What licence does I4h Workflow Dataset Mimic use?

I4h Workflow Dataset Mimic is published under the Apache-2.0 licence (declared in SKILL.md). It allows redistribution, so the full SKILL.md is shown on this page.

How many tokens does I4h Workflow Dataset Mimic use?

About 982 tokens (SKILL.md is roughly 3.9k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full.

What are the alternatives to I4h Workflow Dataset Mimic?

Skills that share tags, products or a category with I4h Workflow Dataset Mimic: Options (asgeirtj/system_prompts_leaks, 69k stars), Datasets (Arize-ai/phoenix, 12k stars), Options Strategy Backtesting (HKUDS/Vibe-Trading, 35k stars) and Dataset Curation (wshobson/agents, 40k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.

Who maintains I4h Workflow Dataset Mimic?

NVIDIA (a GitHub organization, an official publisher) maintains it in NVIDIA/skills, which has 3,546 GitHub stars. The repository holds 386 skills in this directory. The repository was last updated on October 9, 2026.

Source: NVIDIA/skills on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.