Use when working on MJLab locomotion evaluation, SONIC checkpoint scoring, SkyPilot MJLab YAMLs, or Workbench MJLab CLI behavior.
Scanned 9/8/2026
Install to Claude Code
Skills Directorynpx -y skills add nebius/nebius-physical-ai --skill mjlab --agent claude-codeInstalls into .claude/skills of the current project.
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---
name: mjlab
description: Use when working on MJLab locomotion evaluation, SONIC checkpoint scoring, SkyPilot MJLab YAMLs, or Workbench MJLab CLI behavior.
---
# MJLab
MJLab is the locomotion evaluation stage for SONIC Workbench workflows.
## Interfaces
CLI:
```bash
npa workbench mjlab eval
npa workbench mjlab workflow
npa workbench mjlab status
npa workbench mjlab list
```
SkyPilot YAML:
- `workflows/testing/mjlab-eval.yaml`
- `workflows/testing/sonic-locomotion-finetuning.yaml`
## Routing And Data Flow
Route MJLab evaluation to H100 for the checked-in workflow templates.
Inputs and outputs use S3 paths:
- `--input-path`: retargeted motion or rollout artifacts.
- `--checkpoint`: SONIC checkpoint artifact.
- `--output-path`: MJLab evaluation output prefix.
The result artifact is `mjlab_eval.json`.
## Workflow Constraint
Keep orchestration logic in SkyPilot YAML. Do not add a Python runner script for
the SONIC locomotion fine-tuning path.
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