evaluating-cosmos-policy

Evaluate NVIDIA Cosmos Policy in LIBERO and RoboCasa simulation environments.

Updated Apr 11, 2026
One-click install
npx skills add https://github.com/hhhi21g/HealthCenter --skill evaluating-cosmos-policy-hhhi21g
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: evaluating-cosmos-policy
Source: https://github.com/hhhi21g/HealthCenter/tree/main/.codex/skills/cosmos-policy
Command: npx skills add https://github.com/hhhi21g/HealthCenter --skill evaluating-cosmos-policy-hhhi21g

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill requires torch>=2.1.0, mujoco>=3.0.0, robosuite>=1.4.0, transformers>=4.40.0, cosmos-policy, and includes scripts (resource) and references (resource) and assets (resource) components.

What problem does it solve?

This Skill streamlines the evaluation process for NVIDIA Cosmos Policy in simulation environments, facilitating quick assessments and in-depth analysis of the model's performance in robotic tasks.

Core Features & Use Cases

  • LIBERO Evaluation: Conduct smoke and full evaluations on LIBERO benchmarks.
  • RoboCasa Evaluation: Perform smoke evaluations on RoboCasa benchmarks.
  • Blank-Machine Cluster Launch: Execute simulations on headless GPUs in cluster environments.
  • Performance Benchmarking: Provide reference values for expected success rates on various tasks.

Quick Start

To run the LIBERO smoke evaluation, execute the following command:

uv run --extra cu128 --group libero --python 3.10 \
  python -m cosmos_policy.experiments.robot.libero.run_libero_eval ...

Frequently Asked Questions about evaluating-cosmos-policy

High-intent search queries and answers about installing and using this skill.

FAQPage Schema
How do I evaluate NVIDIA Cosmos Policy in simulation environments?

You can evaluate NVIDIA Cosmos Policy by running targeted simulation benchmarks in LIBERO and RoboCasa environments to measure robotic manipulation task performance and success rates.

Can I run Cosmos Policy evaluation on headless GPU cluster machines?

Yes, the evaluation supports blank-machine cluster launches, allowing you to execute robot manipulation simulations on headless GPUs in cluster environments without a display.

What dependencies are required for robot manipulation simulation with Cosmos Policy?

Robot manipulation simulation requires installing torch, mujoco, robosuite, and transformers to support the Cosmos Policy vision-language-action model evaluation workflows.

How do I run a LIBERO smoke evaluation for the Cosmos Policy model?

To run a LIBERO smoke evaluation, execute the provided command using uv run with the appropriate Python version and extra arguments to initiate the benchmark test.

Does this Skill support full benchmark evaluations for both LIBERO and RoboCasa?

The Skill supports both smoke and full evaluations on LIBERO benchmarks, while currently providing smoke evaluations for RoboCasa benchmarks to assess model performance.

What are the expected success rates for Cosmos Policy in robotic tasks?

The Skill provides reference performance benchmarking values, offering expected success rates for various robotic manipulation tasks to compare your evaluation results.