i4h-workflow-dataset-teleop SKILL.md skillA

i4h-workflow-dataset-teleop from nvidia/skills is an agent skill: a SKILL.md folder an AI agent loads when a task calls for it.

Install it, pinned
mdr add nvidia/skills/i4h-workflow-dataset-teleop@v0.8.0

Pins v0.8.0 in mdr.lock. Pin the fingerprint instead.

Audit grade
A, 17 of 17 checks passed
Kind
SKILL.md skill
Repository
nvidia/skills
Path
skills/i4h-workflow-dataset-teleop/SKILL.md
Versions recorded
3
Latest version
v0.8.0, committed Sep 30, 2026
First version recorded
Jul 21, 2026
Size
4,737 bytes
Repository stars
3,871
License
Apache-2.0

Record demonstrations through a workflow's teleop Task into workflow HDF5. Use for keyboard, leader, VR, or bus input; do not use for policy evaluation or autonomous rule-based Tasks.

Collected from public GitHub. Every version is saved exactly as it was and never changes. Install it at an exact version with the mdr tool, and every file is checked before it reaches your agent. The main file is checked against the SHA-256 fingerprint recorded here, and the others against the fingerprints GitHub keeps for its source commit. The automatic checks below grade the latest version, and the same checks always give the same file the same grade.

What the file says

# Record Teleop Demonstrations

## Purpose

Run the workflow's declared teleop graph through the shared `SimulationRunner` so actions, state, cameras, segments, attempts, and outcomes use the normal HDF5 contract.

## Instructions

1. Resolve the base checkout and live teleop device contract.
2. Choose a supported human-input device.
3. Record in the foreground through `run.sh`.
4. Inspect visible motion and HDF5 content.

## Resolve support

```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"
./run.sh list
…

Read the whole file at its exact version.

How to install

The exact contents, by fingerprint
mdr add nvidia/skills/i4h-workflow-dataset-teleop@sha256:ada6ca304147f5a9

The line at the top of this page pins the label v0.8.0, which is what most people want. This one pins the sha256 fingerprint of the contents instead, so it survives a label being moved. Either way the exact version is written to mdr.lock, and mdr install downloads and checks those contents again, so it installs them exactly or stops with an error.

Badge

mdr badge

[![mdr](https://markdownregistry.com/badge/art_tsfvlno34xwudchy.svg)](https://markdownregistry.com/a/art_tsfvlno34xwudchy)

3 badge image fetches in 30 days. What the badge shows.

Versions

The registry has recorded 3 versions of this file, between Jul 21, 2026 and Sep 30, 2026, about one every 35 days.

versioncommittedcommitsizeaudit
v0.8.0 latest2026-09-30 79f1873 4,737 BA view · diff
v0.8.02026-09-04 eb93678 4,700 BA view · diff
v0.6.02026-07-21 0f23216 8,009 BA view

Audit of the latest version

A  17 of 17 checks passed. Fixed automatic checks with no AI involved, so the same checks give the same answer every run.
  • pass: Frontmatter block present
  • pass: Frontmatter declares a name
  • pass: Frontmatter declares a description
  • pass: Size between 200 bytes and 200 KB (4737 bytes)
  • pass: No zero-width or bidi control characters
  • pass: No instruction hidden inside an HTML comment
  • pass: No link to an exfiltration or paste host
  • pass: No credential-shaped string
  • pass: No instruction to send local credentials anywhere
  • pass: No text hidden with inline styles
  • pass: No prompt-injection phrasing
  • pass: No curl or wget piped into a shell
  • pass: No recursive delete of root, home or parent
  • pass: No instruction to read or print local credentials
  • pass: No base64 blob over 200 characters
  • pass: No link to a raw IP address
  • pass: No script tag

Source

GitHub

nvidia/skills · 3,871 stars · license Apache-2.0 · pushed 2026-11-05 · branch main

API

GET https://markdownregistry.com/api/v1/artifacts/art_tsfvlno34xwudchy
GET https://markdownregistry.com/api/v1/resolve?ref=nvidia/skills/i4h-workflow-dataset-teleop
GET https://markdownregistry.com/api/v1/blob/ada6ca304147f5a9a5db9313a893cc532cce338febd85e66ac07a351a786c8d1

Your AI assistant does the legwork. You hear about the deals worth your word. Hand yours the standing instructions at modelranch.com and it joins the network that reads files like this one.

Guides: the SKILL.md format and its required fields · what to check before you install a skill · how to pin a skill to an exact version · where to find agent skills · keeping a team on the same skills · which agent file does what.

More from nvidia/skills

nvidia-skill-finder SKILL.md skill
nvidia/skills · plugins/nvidia-skills/skills/nvidia-skill-finder/SKILL.md · Use for NVIDIA-related requests where an NVIDIA skill might help, even if the user did not ask for a skill. Trigger on…
git:20261001.4aa3fd2 · audit A · 3,871 stars
accelerated-computing-cudf SKILL.md skill
nvidia/skills · skills/accelerated-computing-cudf/SKILL.md · Official NVIDIA-authored guidance for NVIDIA cuDF GPU DataFrames, pandas acceleration, dask-cuDF, ETL, joins, groupby…
git:20261015.7efb297 · audit A · 3,871 stars
aiq-deploy SKILL.md skill
nvidia/skills · skills/aiq-deploy/SKILL.md · Use when asked to install, deploy, run, validate, troubleshoot, or stop NVIDIA AI-Q Blueprint infrastructure.
v2.1.0 · audit A · 3,871 stars
aiq-research SKILL.md skill
nvidia/skills · skills/aiq-research/SKILL.md · Use when asked to run deep research or AI-Q research through a reachable NVIDIA AI-Q Blueprint backend.
v2.1.0 · audit A · 3,871 stars
ambient-healthcare-agent-with-nemotron-voice-agent SKILL.md skill
nvidia/skills · skills/ambient-healthcare-agent-with-nemotron-voice-agent/SKILL.md · Customize NVIDIA Nemotron Voice Agent's Generic Pipecat example for healthcare appointment, five-field patient intake…
v1.0.0 · audit B · 3,871 stars
amc-run-rtsp-calibration SKILL.md skill
nvidia/skills · skills/amc-run-rtsp-calibration/SKILL.md · Calibrate a new dataset from live RTSP camera streams via the AutoMagicCalib REST API. Use when the user provides RTSP…
v1.0.0 · audit B · 3,871 stars
amc-run-sample-calibration SKILL.md skill
nvidia/skills · skills/amc-run-sample-calibration/SKILL.md · Run end-to-end calibration on the shipped sample dataset (sdg_08_2_sample_data_010926.zip) against a running AMC…
v1.0.0 · audit A · 3,871 stars
amc-run-video-calibration SKILL.md skill
nvidia/skills · skills/amc-run-video-calibration/SKILL.md · Calibrates pre-recorded `cam_*.mp4` datasets through the AutoMagicCalib REST API. Use for user-supplied local MP4s…
v1.0.0 · audit A · 3,871 stars
amc-setup-calibration-stack SKILL.md skill
nvidia/skills · skills/amc-setup-calibration-stack/SKILL.md · Launch AutoMagicCalib microservice and web UI from NGC release images via Docker Compose. Use when user says 'deploy…
v1.0.0 · audit A · 3,871 stars
boltz2-nim SKILL.md skill
nvidia/skills · skills/bionemo-boltz2-nim/SKILL.md · Use Boltz2 NIM for biomolecular structure prediction and binding affinity. Invoke for Boltz2, protein structures…
git:20261002.85ad857 · audit A · 3,871 stars
codonfm-embed SKILL.md skill
nvidia/skills · skills/bionemo-codonfm-embed/SKILL.md · Validate coding-sequence CSVs, extract public CodonFM/Encodon embeddings, and choose checkpoints for downstream…
git:20261009.329cfc6 · audit A · 3,871 stars
codonfm-finetune SKILL.md skill
nvidia/skills · skills/bionemo-codonfm-finetune/SKILL.md · Fine-tune public CodonFM Encodon checkpoints on labeled coding-sequence or coding-variant data using LoRA, head-only…
git:20261009.329cfc6 · audit A · 3,871 stars

Every file in nvidia/skills

Browse by kind, by grade A, or by owner.