i4h-workflow-dataset-annotate SKILL.md skillA
i4h-workflow-dataset-annotate from nvidia/skills is an agent skill: a SKILL.md folder an AI agent loads when a task calls for it.
mdr add nvidia/skills/i4h-workflow-dataset-annotate@v0.8.0Pins 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-annotate/SKILL.md- Versions recorded
- 3
- Latest version
- v0.8.0, committed Sep 30, 2026
- First version recorded
- Jul 21, 2026
- Size
- 5,893 bytes
- Repository stars
- 3,871
- License
- Apache-2.0
Grade or filter workflow HDF5 episodes with an OpenAI-compatible vision model. Use for visual success labels; do not use for replay, policy evaluation, or recordings without frames.
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
# Annotate Workflow Recordings
## Purpose
Grade sampled camera frames against a natural-language success criterion while keeping VLM labels separate from simulator success.
## Instructions
1. Run the checkout resolver and select one HDF5 and one criterion.
2. Test camera sampling and the vision endpoint.
3. Run grading and optional filtering on every selected episode.
4. Compare verdict and output counts.
## Resolve input and criterion
```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"
…Read the whole file at its exact version.
How to install
mdr add nvidia/skills/i4h-workflow-dataset-annotate@sha256:57854f891959ad38The 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.
[](https://markdownregistry.com/a/art_6edu45dyc46gn2fr)
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.
| version | committed | commit | size | audit | |
|---|---|---|---|---|---|
| v0.8.0 latest | 2026-09-30 | 79f1873 | 5,893 B | A | view · diff |
| v0.8.0 | 2026-09-04 | eb93678 | 5,856 B | A | view · diff |
| v0.6.0 | 2026-07-21 | 0f23216 | 10,916 B | A | view |
Audit of the latest version
- pass: Frontmatter block present
- pass: Frontmatter declares a name
- pass: Frontmatter declares a description
- pass: Size between 200 bytes and 200 KB (5893 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
nvidia/skills · 3,871 stars · license Apache-2.0 · pushed 2026-11-05 · branch main
API
GET https://markdownregistry.com/api/v1/artifacts/art_6edu45dyc46gn2fr GET https://markdownregistry.com/api/v1/resolve?ref=nvidia/skills/i4h-workflow-dataset-annotate GET https://markdownregistry.com/api/v1/blob/57854f891959ad38d79f85cd157ebc83cb7f240232db7dfdbddfcbc3020ef7b2
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.