i4h-workflow-dataset-replay
Replay a workflow HDF5 episode through its original Scene.
Skill by Isaac for Healthcare Team <isaac-for-healthcare-support@nvidia.com>
Install
Works with Claude Code, Claude apps, Codex, Cursor, Gemini CLI, GitHub Copilot, VS Code, OpenCode, Goose, Windsurf. Read the repository before you give any tool access to your data.
npx agentmarket install skill/nvidia-i4h-workflow-dataset-replay
Asks which of your tools to add it to (Claude Code, Codex, Cursor, VS Code, Windsurf, Gemini CLI, Claude Desktop) and shows the change first. See https://agentmart.dev/cli.
Get the weekly diff
The weekly diff: one email a week with new agent tools, notable updates and grade changes, plus security alerts for tools you follow. Double opt-in, one-click unsubscribe.
About
Use cases: data, productivity, testing
Reviews
Write a reviewNo reviews yet. Installed it? Reviews come from verified installers only. How reviews work
Permissions
What this skill can do and what it asks for, from its SKILL.md. Checked Oct 25, 2026.
- Tools
- No tools found
- Secrets
- None asked for
- Install scripts
- None found
Network hosts it talks to 1
codeload.github.com· found in install command
Files it touches
~/.claude/skills/i4h-workflow-dataset-replay
What's inside
- Skill name
i4h-workflow-dataset-replay- Description
- Replay a workflow HDF5 episode through its original Scene. Use for visual trajectory and recording verification; do not use for policy evaluation or LeRobot data.
- License
- Apache-2.0
- Metadata
- author: Isaac for Healthcare Team <isaac-for-healthcare-support@nvidia.com> · version: 0.8.0 · verification-request: 2026-09-15
- Instructions
- 80 lines in SKILL.md · view on GitHub
Files (5)
- BENCHMARK.md
- SKILL.md
- evals.json · evals/
- skill-card.md
- skill.oms.sig
SKILL.md (first lines)
# Replay a Workflow Recording
## Purpose
Replay the exact recorded action sequence through the matching workflow and inspect it visibly.
## Instructions
1. Run the checkout resolver and select the exact HDF5.
2. Read the original workflow and requested episode.
3. Inspect action-contract compatibility.
4. Run the replay visibly in the foreground through completion.
## Resolve the recording
```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 "$ROOT"
find runs -name '*.hdf5' -type f -printf '%T@ %p\n' | sort -nr | head
```
Treat the resolver above as part of the skill contract: a hosted copy may run outside the base repository, so never assume the current checkout contains `workflows/i4h_workflows`. `I4H_WORKFLOWS_REPO_URL` selects the clone source. When `I4H_WORKFLOWS` is unset, derive the fallback directory from that URL; set `I4H_WORKFLOWS` only to reuse or choose a specific destination. Never replace an existing checkout.
Use an explicit or current-chain recording first. Otherwise select the newest plausible HDF5 and state that choice. Never substitute an older file after a failed recording.
Interpret natural ordinals as zero-based indices: first is `0`, second is `1`.
## Inspect before launch
```bash
HDF5_PATH=/absolute/path/to/recording.hdf5
uv run --project tools/dataset i4h-dataset inspect "$HDF5_PATH" --segments
```
Resolve the original workflow from recording metadata and conversation context. Confirm the requested episode exists and its action width matches the workflow's replay Scene contract.
## Replay
```bash
./run.sh <workflow> --replay "$HDF5_PATH" --episode <zero-based-index>
```
Keep the visible simulator and command in the foreground. Poll yielded execution until `run.sh` exits; do not detach or return while replay is still running.
## Verify
Observe the complete trajectory, relevant objects, camera views, segment boundaries, and final status. If motion diverges, report the first mismatching segment or action-contract error. Do not change workflow, episode, or recording silently.
## Troubleshooting
On launch failure, verify workflow metadata, episode existence, and action width. On divergence, report the first mismatching segment.
## Prerequisites
Require the original workflow assets and a readable episode whose action width matches replay mode.
## Limitations
Replay verifies stored actions in one Scene; it does not evaluate a learned policy or guarantee transfer to another Scene.
## Examples
- `Replay the second episode.` → select the current recording, map “second” to index `1`, and observe the visible replay.
## Completion gate
Report workflow, HDF5 path, episode index, frame/segment count, action width, exit/final status, and visible agreement or first mismatch.From NVIDIA/skills, Apache-2.0.
More from NVIDIA/skills
- 0.846score
nemo-fabric-integrate
NVIDIA Corporation and Affiliates
Use this skill when integrating NVIDIA NeMo Fabric into a consumer application, service, evaluation harness, or platform through the typed Python SDK —…
SkillAFreshness: A★ 3.7KClaude Code +9 - 0.846score
jetson-video-pipeline
Vinit Bansal <vinitkumarb@nvidia.com>
Use when planning, executing, and independently validating Jetson Video Codec SDK or PyNvVideoCodec encode/decode, transcode, segmentation, container decode…
SkillAFreshness: A★ 3.7KClaude Code +9 - 0.846score
nvflare-convert-pytorch
NVIDIA FLARE Team <federatedlearning@nvidia.com>
Convert existing plain or manual PyTorch training code into an NVFLARE federated job using Client API model exchange, local validation, and job export; use…
SkillAFreshness: A★ 3.7KClaude Code +9 - 0.846score
nemo-relay-get-started
NVIDIA Corporation and Affiliates
Use this skill when first-time NeMo Relay users want help selecting and following an appropriate quick-start guide or verifying their first working integration.
SkillAFreshness: A★ 3.7KClaude Code +9 - 0.846score
jetson-video-recipe
Vinit Bansal <vinitkumarb@nvidia.com>
Use when turning a Jetson encoder use case into one surface-neutral recipe with native Video Codec SDK and PyNvVideoCodec projections.
SkillAFreshness: A★ 3.7KClaude Code +9 - 0.846score
nvidia-broadcast
NVIDIA Broadcast Team <broadcast-skills-dev@nvidia.com>
Use when controlling NVIDIA Broadcast through MCP to apply effects, process local media, select devices, or change camera resolution, or when Broadcast is…
SkillAFreshness: A★ 3.7KClaude Code +9 - 0.846score
jetson-video-setup
Vinit Bansal <vinitkumarb@nvidia.com>
Use when installing, repairing, reusing, inspecting, or verifying readiness of the native NVIDIA Video Codec SDK or PyNvVideoCodec on Jetson, including the…
SkillAFreshness: A★ 3.7KClaude Code +9 - 0.846score
nvflare-diagnose-job
NVIDIA FLARE Team <federatedlearning@nvidia.com>
Use when the user asks why a reported NVFLARE job failure signal occurred: the job failed, stalled, timed out, lost clients, ended with EXECUTION_EXCEPTION…
SkillAFreshness: A★ 3.7KClaude Code +9 - 0.846score
nvflare-convert-lightning
NVIDIA FLARE Team <federatedlearning@nvidia.com>
Convert existing PyTorch Lightning training code into an NVFLARE federated job using the Lightning Client API patch, local validation, and job export; use…
SkillAFreshness: A★ 3.7KClaude Code +9 - 0.846score
nemo-relay-install
NVIDIA Corporation and Affiliates
Use this skill when choosing or running NeMo Relay installation for an agent runtime, application language, framework integration, or plugin bundle, or…
SkillAFreshness: A★ 3.7KClaude Code +9 - 0.846score
nvflare-fed-stats
NVIDIA FLARE Team <federatedlearning@nvidia.com>
Compute federated statistics over tabular data (count, sum, mean, stddev, var, histogram, quantile, noise-protected min/max) and image data (count…
SkillAFreshness: A★ 3.7KClaude Code +9 - 0.846score
jetson-video-capability
Vinit Bansal <vinitkumarb@nvidia.com>
Use when Jetson codec, profile, chroma, bit-depth, dimension, engine-count, or operational support must be reconciled from live APIs, authenticated NVIDIA…
SkillAFreshness: A★ 3.7KClaude Code +9
Signals
- Stars
- 3,718
- Forks
- 457
- Open issues
- 8
- Last commit (this folder)
- Sep 30, 2026 (28 days ago)
From GitHub (fetched Oct 24, 2026).
Details
- Version
- 0.8.0
- License
- Apache-2.0
- Repository
- github.com/NVIDIA/skills
- Website
- docs.nvidia.com/skills
- First seen
- Oct 24, 2026
- Last checked
- Oct 24, 2026
- Source
- GitHubgithub-graphql
More from Isaac for Healthcare Team <isaac-for-healthcare-support@nvidia.com>
- 0.842score
i4h-workflow-scene-edit
Isaac for Healthcare Team <isaac-for-healthcare-support@nvidia.com>
Edit an existing workflow Scene or task contract.
SkillAFreshness: A★ 3.7KClaude Code +9 - 0.842score
i4h-workflow
Isaac for Healthcare Team <isaac-for-healthcare-support@nvidia.com>
Orient users to the i4h workflow runtime and route them to the correct stage skill.
SkillAFreshness: A★ 3.7KClaude Code +9 - 0.840score
i4h-workflow-train-rl
Isaac for Healthcare Team <isaac-for-healthcare-support@nvidia.com>
Use when training, evaluating, or exporting Workflow policies with online RSL-RL or RLinf, including RL checkpoint and Workflow handoff.
SkillAFreshness: A★ 3.7KClaude Code +9 - 0.837score
i4h-workflow-validate
Isaac for Healthcare Team <isaac-for-healthcare-support@nvidia.com>
Run the root-level workflow runtime policy or rule-based rollouts and verify simulator success.
SkillAFreshness: A★ 3.7KClaude Code +9 - 0.837score
i4h-workflow-setup
Isaac for Healthcare Team <isaac-for-healthcare-support@nvidia.com>
Preflight and set up the root-level workflow runtime.
SkillAFreshness: A★ 3.7KClaude Code +9 - 0.837score
i4h-workflow-dataset-annotate
Isaac for Healthcare Team <isaac-for-healthcare-support@nvidia.com>
Grade or filter workflow HDF5 episodes with an OpenAI-compatible vision model.
SkillAFreshness: A★ 3.7KClaude Code +9
Cite this page
i4h-workflow-dataset-replay skill. Agent Mart. https://agentmart.dev/skills/nvidia-i4h-workflow-dataset-replay (last updated 2026-10-24)