sim-to-real SKILL.md skillA

sim-to-real from nebius/nebius-physical-ai is an agent skill: a SKILL.md folder an AI agent loads when a task calls for it.

Install it, pinned
mdr add nebius/nebius-physical-ai/sim-to-real@git:20261002.bccd515

Pins git:20261002.bccd515 in mdr.lock. Pin the fingerprint instead.

Audit grade
A, 17 of 17 checks passed
Kind
SKILL.md skill
Repository
nebius/nebius-physical-ai
Path
skills/workflows/sim-to-real/SKILL.md
Versions recorded
6
Latest version
git:20261002.bccd515, committed Oct 2, 2026
First version recorded
Jul 3, 2026
Size
3,666 bytes
Repository stars
106
License
Apache-2.0

Use when designing, reviewing, or operating sim-to-real workflows that move data through simulation, policy training, synthetic generation, evaluation, and loop control.

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

# Sim-To-Real

## When To Use

Use this skill for robotics teams that need configurable data and artifact flow
through simulation, policy training, synthetic data generation, evaluation, and
iteration without customer-specific names or infrastructure baked into source.

## Procedure

1. Define a run ID and run-scoped S3 prefixes before launching.
2. Import source robot, scene, or task data into the run prefix.
3. Generate or augment simulation data with configured workbench tools.
4. Train or fine-tune the policy against the run-scoped dataset and write
   checkpoints to S3.
5. Evaluate the policy with deterministic metrics or a configured VLM backend.
6. Decide whether to stop, continue, or route artifacts for review based on
   configurable thresholds.

## Three-Tier Contract

- CLI: use `npa workbench workflow` and tool commands
  such as Genesis, LeRobot, SONIC, MJLab, Retargeting, LanceDB, Cosmos, and
  VLM-eval.
- SDK: keep workflow submission and config materialization in shared helpers so
  notebooks and services use the same artifact paths.
- Workflows: `workflows/testing/vlm-eval-loop.yaml` is the executable reference for the
…

Read the whole file at its exact version.

How to install

The exact contents, by fingerprint
mdr add nebius/nebius-physical-ai/sim-to-real@sha256:553888507a0d6fbc

The line at the top of this page pins the label git:20261002.bccd515, 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_3c3tcpbqkzuc4gsu.svg)](https://markdownregistry.com/a/art_3c3tcpbqkzuc4gsu)

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

Versions

The registry has recorded 6 versions of this file, between Jul 3, 2026 and Oct 2, 2026, about one every 18 days.

versioncommittedcommitsizeaudit
git:20261002.bccd515 latest2026-10-02 bccd515 3,666 BA view · diff
git:20260918.416f9642026-09-18 416f964 2,500 BA view · diff
git:20260906.525ee242026-09-06 525ee24 2,526 BA view · diff
git:20260813.a1cc4ea2026-08-13 a1cc4ea 2,545 BA view · diff
git:20260802.5fa17712026-08-02 5fa1771 2,560 BA view · diff
git:20260703.774344b2026-07-03 774344b 2,132 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 (3666 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

nebius/nebius-physical-ai · 106 stars · license Apache-2.0 · pushed 2026-11-08 · branch main

API

GET https://markdownregistry.com/api/v1/artifacts/art_3c3tcpbqkzuc4gsu
GET https://markdownregistry.com/api/v1/resolve?ref=nebius/nebius-physical-ai/sim-to-real
GET https://markdownregistry.com/api/v1/blob/553888507a0d6fbc26bd569b6d593cc778e19a9db4831ee4eb6ff2c5d1420473

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.

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