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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.

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Datos de origen

Repositorio
lollipopkit/cc-plugins
Última actividad en el origen
14 de marzo de 2026 a las 09:53
Idioma detectado de SKILL.md
inglés
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7
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SKILL.md
Instrucciones de origen · Vista previa de solo lectura
name
multi-model
description
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.
allowed-tools
Read, Bash(python:*)
# Multi-Model Use the bundled runner: `python3 "${CLAUDE_PLUGIN_ROOT}/skills/multi-model/scripts/multi_model.py"`. ## Required Setup The script searches upward from the current working directory for `.env`. Required variables: - `ARENA_MODELS` - Either `ARENA_OPENAI_BASE_URL` (single endpoint) or `ARENA_PROVIDER_<NAME>_BASE_URL` (multi-provider) - Optional keys: `ARENA_OPENAI_API_KEY`, `ARENA_PROVIDER_<NAME>_API_KEY` Single-endpoint example: `ARENA_MODELS=qwen3:8b,deepseek-r1:14b` ## How to run ```bash python3 "${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 1. Rotate writer model by iteration. 2. Let other models judge and score. 3. Keep the highest average-score answer as current best. 4. 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.
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