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/i4h-workflow

@79f1873
by NVIDIA Corporationnvidia/skills3.5k stars
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Orient users to the i4h workflow runtime and route them to the correct stage skill. Use for architecture, support, or where-to-start questions; do not execute a known stage.

Use this Skill: https://skilld.dev/gh/nvidia/skills/i4h-workflow

This session only. Nothing lands on disk.

referencesrepo-map.md

≈903 tokens on demand. Your agent reads this file only when SKILL.md points to it.

Workflow Ownership Map

Use this map after reading ./DESIGN.md. Inspect the concrete implementation before editing; filenames are not API contracts.

Authoring and runtime ownership

Concern Owner Source
World assets, cameras, randomization, adapters, reset hooks Scene ./arena/i4h_arena/scenes/, ./arena/i4h_arena/assets/, ./arena/i4h_arena/envcfg/
Scene capabilities and mode overrides Scene manifest ./arena/i4h_arena/scenes/manifest/<scene>.yaml
Cross-process robot labels, calibration, teleop devices Embodiment manifest ./arena/i4h_arena/embodiments/manifest/<robot>.yaml
Reusable behavior, typed ports, requirements Task ./tasks/<project>/
Simulator-compatible exported RSL-RL actors In-process policy Task ./tasks/rsl_rl/
Remote backend/model/observation/training contract Remote task manifest ./tasks/<project>/i4h_tasks/<project>/manifest/<task>.yaml
Scene selection, run modes, graph composition, goal semantics Workflow ./workflows/i4h_workflows/<specialty>/<workflow>.py
Standard run-mode vocabulary and shared builders Workflows ./workflows/i4h_workflow_modes/README.md
Node scheduling, wiring, retries, timeouts Engine ./engine/
Episode attempts, reset/step/render/record loop Simulation runner ./arena/i4h_arena/runner.py
HDF5 contract and cross-process messages Common ./common/i4h_common/
Mimic, annotation, conversion, visualization Offline tools ./tools/
Vectorized online RL stepping, trainer mapping, and hyperparameters RL training lifecycle ./rl/

The public authoring surface is engine/i4h_engine/interface.py and engine/i4h_engine/graph.py. A workflow module exports exactly one WORKFLOW = Workflow(...). The workflow layout and specialty catalog are documented in ./workflows/README.md.

Dependency rules

  • Keep common independent of every other i4h layer.
  • Keep the Engine independent of concrete workflows, tasks, Arena, and Isaac Sim.
  • Keep in-process tasks independent of workflows and Arena.
  • Keep workflows independent of Arena, Isaac Sim, and policy stacks.
  • Keep GR00T/openpi backends and offline tools dependent only on common among i4h layers.
  • Let only SimulationRunner call env.step during normal Workflow execution; an isolated RL trainer owns vectorized stepping during online training.

Existing pattern families

  • SO-ARM scissors: scissor_pick_and_place plus soarm_scissors; policy, N1.7 alternative, rule-based, teleop, replay, and idle.
  • G1 locomanipulation: locomanip_tray_pick_and_place and locomanip_push_cart; N1.6 policy with a 23-wide teleop mode override.
  • G1 trocar: assemble_trocar; dex-hand scene, N1.5 policy Task, and separate RLinf PPO post-training profile.
  • Ultrasound reach: ultrasound_probe_reach; Franka probe Scene, RSL-RL PPO profile, exported TorchScript Task, policy, and idle modes.
  • Ultrasound: ultrasound_liver_scan; Panda scene with openpi policy, rule-based, teleop, replay, and idle.
  • Surgical: PSM, dual-PSM, and STAR scenes with rule-based, replay, and idle modes.

Confirm these families with ./run.sh list; manifests and workflows may evolve.

Validation order

cd "$(git rev-parse --show-toplevel)"
./run.sh show <workflow> --mode <mode>
./run.sh lint <workflow> --mode <mode>
./run.sh lint --all

Run focused tests in each owning component environment. For Scene or adapter changes, finish with a visible simulator run in every affected dynamic mode; use --idle only for stationary layout inspection.

Source: SKILL.md on GitHub

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  • Gen Agent Trust Hub1d

    The skill manages orientation and routing for the Isaac for Healthcare (i4h) workflow. It downloads the project's repository and executes scripts for workflow discovery and cleanup. While these are standard developer tools, the process involves executing code from an external repository and ingesting data that could be used for indirect prompt injection.

  • Socket1d

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  • Snyk1d

    Risk: LOW · No issues

Signed by skilld at 79f1873. This ties the file your Agent reads to that commit on GitHub. It does not review the instructions.

Last checked against GitHub 1 hour ago.

Activeupdated 2 days ago
Other metadata
metadata
{
  "author": "Isaac for Healthcare Team <isaac-for-healthcare-support@nvidia.com>",
  "version": "0.8.0",
  "verification-request": "2026-09-15",
  "tags": [
    "isaac-for-healthcare",
    "i4h",
    "robotics",
    "onboarding"
  ]
}

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