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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
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clawhub
v1.0.0 1 版本 99473.7 Key: 无需
#latest
概述
Model Matrix Skill
Use this skill to choose the best model per category using a blended score and policy constraints.
Core Policy
- Use the cheapest model that preserves quality.
- If Anthropic is excluded, auto-promote #2.
- 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
| Category | Real Eval (45) | Bench (30) | Sentiment (20) | Cost (5) | Raw Score (/100) | Raw #1 | Effective #1 | Confidence |
|---|
| --- | ---: | ---: | ---: | ---: | ---: | --- | --- | ---: |
| 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
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