vlm-eval
This skill scores vision-language model evaluations of rollouts to determine task completion, then uses the score as a pipeline gate.
Identity proven by GitHub's verified organisation badge (nebius)
- Agents
- Claude Code, Codex, Cursor, Gemini CLI, GitHub Copilot, OpenCode, claude.ai and API
- License
- LicenseRef-Proprietary (restricted)
- Pin
- 40bc4b8pinned Oct 9, 2026
- Context cost
- about 5,900 tokenswhen the skill loads
- GitHub stars
- 34on nebius/nebius-physical-ai
- Scripts
- None found
What it does
“Use to score rollouts with a vision-language model and turn the score into a pipeline gate — single rollout, prefix-wide loop, rubric/threshold benchmark sweeps, backend selection (self-hosted, api, stub), and judging against a plan an earlier stage wrote.”
Generated summary from the skill's own text
This skill scores vision-language model evaluations of rollouts to determine task completion, then uses the score as a pipeline gate. It supports single rollout evaluation, batch processing across rollout sets, configuration sweeps for threshold tuning, and multiple backend options including self-hosted, API, and stub inference.
When to use it
- Assess whether robot rollouts completed their intended manipulation or navigation tasks
- Compare vision-language model quality and select appropriate thresholds for task gates
- Audit visual task completion against hardcoded or dynamically generated task specifications
- Benchmark different models and rubrics on labeled datasets before production deployment
When not to
- When you need independent human label verification or safety certification
- If you require model outputs beyond numeric scores or when pure vision analysis is insufficient
- When evaluating non-visual task completion or robotic safety without visual evidence review
Install
Restricted license: install from the publisher's repository and read its terms.
These commands install from the publisher's repository and need no account.
skills CLI
npx skills add nebius/nebius-physical-ai --skill vlm-evalInstalls from the repository's default branch, which may have changed since the commit we checked.
GitHub CLI 2.90 or later
gh skill install nebius/nebius-physical-ai vlm-eval@40bc4b8e5636debf3bcd06b5db5806e393355038Installs the commit we checked (40bc4b8).
Copy by hand
Download the folder at 40bc4b8 and put it in .claude/skills/vlm-eval for Claude Code and in .agents/skills/vlm-eval for Codex, Cursor, Gemini CLI, GitHub Copilot and OpenCode.
Copy for your agent
A prompt for any coding agent. It installs this skill from GitHub at the pinned commit, copies the files as they are, and runs nothing unless you ask.
Prompt
Install the agent skill "vlm-eval" by Nebius. Source, pinned to commit 40bc4b8e5636debf3bcd06b5db5806e393355038: https://github.com/nebius/nebius-physical-ai/tree/40bc4b8e5636debf3bcd06b5db5806e393355038/skills/tools/vlm-eval 1. Download that folder at exactly this commit. Do not use the default branch. 2. Copy every file unchanged, keeping the folder structure, into .claude/skills/vlm-eval/ for Claude Code and .agents/skills/vlm-eval/ for Codex, Cursor, Gemini CLI, GitHub Copilot and OpenCode. Create the folders if they do not exist. 3. Do not edit the files, and do not run any script in the folder unless I ask you to. 4. When you are done, list the files you copied and where you put them. Its license is restricted or not stated. Show me the license terms from the repository before you copy anything. Listing and checks: https://www.agentnative.dev/skills/nebius/vlm-eval
SKILL.md at the pin
The license of this skill does not let us show its files here.
Files
- SKILL.md24 KB · cd4d9251a8bc
1 file, 24 KB in total. Each file has a sha256 in the pin's manifest; the first 12 characters are shown.
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