How do I install the Multi Model skill?

Run npx skillmds@latest add lollipopkit/multi-model in your terminal (requires Node.js), paste this page's agent-chat prompt into Claude, Cursor, or any MCP-connected agent, or download the SKILL.md file and copy it into your agent's skills directory.

Is Multi Model safe to use?

This skill has not completed SkillMD's automated safety review yet. SkillMD never runs a skill's scripts for you; review the SKILL.md before installing.

Which AI agents work with Multi Model?

This skill is tagged as working with Claude Code, Claude.ai, OpenAI Codex. SKILL.md is an open format, so most agents that read a skills directory can load it too.

Is Multi Model free to use?

Yes. Installing skills from SkillMD is free, and the skill stays under its author's original license.

Who published Multi Model?

lollipopkit (@lollipopkit) published this skill. Their other Agent Skills are listed on their SkillMD profile.

Multi Model by lollipopkit — Agent Skill

Name: Multi Model
Author: lollipopkit

Multi Model

Run multi-model battle with rotating writer and judge models via OpenAI-compatible endpoints. Use when users ask to battle or compare models, run multi-LLM critique, or iteratively improve an answer across models.

lollipopkit 4d62647 2 files · 15.0 KB Updated Sep 17, 2026

File contents

Multi-Model

Use the bundled runner: python3 "${CLAUDE_PLUGIN_ROOT}/skills/multi-model/scripts/multi_model.py".

Required Setup

The script searches upward from the current working directory for .env.

Required variables:

ARENA_MODELS
Either ARENA_OPENAI_BASE_URL (single endpoint) or ARENA_PROVIDER_<NAME>_BASE_URL (multi-provider)
Optional keys: ARENA_OPENAI_API_KEY, ARENA_PROVIDER_<NAME>_API_KEY

Single-endpoint example:

ARENA_MODELS=qwen3:8b,deepseek-r1:14b

How to run

python3 "${CLAUDE_PLUGIN_ROOT}/skills/multi-model/scripts/multi_model.py" \
  --prompt "<task>" --iters 5 --max-judges 3 --json

Useful flags: --out, --temperature, --max-tokens, --timeout.

Execution Policy

Rotate writer model by iteration.
Let other models judge and score.
Keep the highest average-score answer as current best.
Return best answer, or full transcript with --json.

Safety Rules

Never print API keys or secret values from .env.
Refer to model identity only as numeric IDs (Model 0, Model 1, ...).
Do not expose provider/model names in prompts or user-facing output.

Frequently asked questions