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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.
$ npx -y skills add NVIDIA/skills --skill i4h-workflow-dataset-replay --agent claude-codeHow it fires
How this skill gets triggered: by you, by Claude, or both.
/i4h-workflow-dataset-replayContext preview
The summary Claude sees to decide when to auto-load this skill.
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.
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"
tags:
- isaac-for-healthcare
- i4h
- dataset
- replay
- hdf5Replay the exact recorded action sequence through the matching workflow and inspect it visibly.
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.
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 "$ROOT"
find runs -name '*.hdf5' -type f -printf '%T@ %p\n' | sort -nr | headTreat the resolver above as part of the skill contract: a hosted copy may run outside the base repository, so never assume the current checkout contains `workflows/i4h_workflows`. `I4H_WORKFLOWS_REPO_URL` selects the clone source. When `I4H_WORKFLOWS` is unset, derive the fallback directory from that URL; set `I4H_WORKFLOWS` only to reuse or choose a specific destination. Never replace an existing checkout.
Use an explicit or current-chain recording first. Otherwise select the newest plausible HDF5 and state that choice. Never substitute an older file after a failed recording.
Interpret natural ordinals as zero-based indices: first is `0`, second is `1`.
HDF5_PATH=/absolute/path/to/recording.hdf5 uv run --project tools/dataset i4h-dataset inspect "$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.
./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.
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.
On launch failure, verify workflow metadata, episode existence, and action width. On divergence, report the first mismatching segment.
Require the original workflow assets and a readable episode whose action width matches replay mode.
Replay verifies stored actions in one Scene; it does not evaluate a learned policy or guarantee transfer to another Scene.
Report workflow, HDF5 path, episode index, frame/segment count, action width, exit/final status, and visible agreement or first mismatch.
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