i4h-workflow-dataset-mimic
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.
Install / Use
npx skills add NVIDIA/skills --skill i4h-workflow-dataset-mimicInstalls into whichever agent you are using.
SKILL.md
Installable skill definition
Quality Score
Category
AutomationSupported Platforms
Our assessment of i4h-workflow-dataset-mimic
i4h-workflow-dataset-mimic scores 89/100 on our quality scale, 912th of 2,125 Automation skills we index (top 43%).
Its SKILL.md is 3.8 KB long, well organised into 11 sections with 3 code examples: a solid amount of guidance for an agent.
With 3,421 GitHub stars, it is one of the more widely adopted skills in the catalogue.
Maintenance, license and trust
- The repository was last updated 5 days ago, so i4h-workflow-dataset-mimic is actively maintained.
- It is released under the Apache-2.0 license, a permissive license that allows use, modification and commercial use with attribution.
- Its trust signals score 100/100, with no cautions. These come from repository metadata, not a code audit — read the skill file before letting an agent act on it.
i4h-workflow-dataset-mimic compared with similar skills
All 4 of these similar skills score higher than i4h-workflow-dataset-mimic; compare them before choosing.
| Skill | Score | Stars | Updated | Format |
|---|---|---|---|---|
| i4h-workflow-dataset-mimic (this skill)by NVIDIA | 89 | 3.4k | 5d ago | SKILL.md |
| Agent-Reachby Panniantong | 100 | 86.0k | 13d ago | CLAUDE.md |
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| LocalAIby mudler | 100 | 49.3k | today | MCP Server |
Frequently asked questions
- How do I install i4h-workflow-dataset-mimic?
- Run
npx skills add NVIDIA/skills --skill i4h-workflow-dataset-mimic. The install tabs above show the steps for each supported agent. - Which AI agents does i4h-workflow-dataset-mimic work with?
- It is written for Universal, as a SKILL.md file. Other agents that read the same format can often use it too.
- Is i4h-workflow-dataset-mimic safe to use?
- It is Apache-2.0-licensed and scores 100/100 on trust signals. Skills are instructions an agent will follow, so read the file before installing it and do not approve commands you do not understand.
- Is i4h-workflow-dataset-mimic still maintained?
- The repository was last updated 5 days ago, so i4h-workflow-dataset-mimic is actively maintained.
Skill content
View source on GitHubname: 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" version: "0.8.0" tags: - isaac-for-healthcare - i4h - dataset - augmentation - hdf5
Mimic Workflow Demonstrations
Purpose
Clone successful source episodes and perturb recorded actions.
Instructions
- Run the checkout resolver and select the source HDF5.
- Inspect successful episodes and segments.
- Run mimic to generate the requested additional action-jitter variants.
- Compare exact counts and preserved contracts.
Resolve and inspect
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
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" "$RUN_DIR/expanded.hdf5" \
--episodes <additional-count> \
--noise 0.01 \
--seed <seed> \
--include-source \
--successful-only
--episodes is the number of generated variants, not the final total. Add --node <node-id> only when requested. Preserve the default deterministic seed unless the user supplies another.
Verify and compose
uv run --project tools/dataset i4h-dataset inspect "$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.
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Languages
Trust signals
From repository metadata: license, adoption, age and documentation. Not a code audit — see the Safety scan above for what the skill file itself contains.
