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Model Matrix

Weighted model-routing matrix for OpenClaw (cost-aware, policy-aware, daily scorecard template).
OpenClaw 加权模型路由矩阵(成本感知、策略感知、每日计分卡模板)
hybredm
未分类 clawhub v1.0.0 1 版本 99473.7 Key: 无需
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概述

Model Matrix Skill

Use this skill to choose the best model per category using a blended score and policy constraints.

Core Policy

  1. Use the cheapest model that preserves quality.
  2. If Anthropic is excluded, auto-promote #2.
  3. Only swap model routes when score delta is material and confidence is high.

Weights

  • Real task evals: 45%
  • Benchmarks: 30%
  • Sentiment (X/Reddit): 20%
  • Cost: 5%

Effective Routing (Current)

  • Research / Planning: Gemini 3.1 Pro
  • Complex Coding / Complex Tasks / Enterprise Discussion: GPT-5.3 Codex
  • Routine Coding + Repeat Cron Ops: GPT-5-mini
  • Citizen Sentiment (X): Grok (x_search)
  • Photo/Image: Gemini image stack
  • Video intelligence trends: Grok ecosystem

Daily Scorecard Template

CategoryReal Eval (45)Bench (30)Sentiment (20)Cost (5)Raw Score (/100)Raw #1Effective #1Confidence
------:---:---:---:---:---------:
Research
Planning
Coding (complex)
Coding (routine)
Creative Writing
Enterprise Discussion
Citizen Sentiment (X)

Notes

  • If Anthropic returns, include it in raw ranking and let policy choose effective winner.
  • MiniMax remains trial-only unless quality holds over 7 days.

版本历史

共 1 个版本

  • v1.0.0 当前
    2026-05-12 06:03 安全 安全

安全检测

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安全,无风险
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腾讯云安全 (Sanbu)

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