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model-brain

Route each incoming message to the right Bankr/OpenClaw model or to a zero-LLM path based on task type, risk, and cost. Use when you need per-message model selection, cost-aware routing, deterministic skill bypasses, or a model recommendation for aaigotchi workflows.

作者: admin | 来源: ClawHub
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ClawHub
版本
V 0.1.2
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版本历史

model-brain

# Model Brain Use this skill when the goal is to choose the right model for a single message or action. ## Core policy - Prefer `zero-llm` when a deterministic skill or script can do the job. - Use the cheapest adequate model for low-risk work. - Use `bankr/claude-sonnet-4.5` for routine wallet and treasury operations that are important but still normal. - Escalate to `bankr/claude-opus-4.6` only for explicitly high-stakes, security-sensitive, or ambiguous wallet flows. - Use `bankr/gpt-5.2-codex` for coding-heavy implementation work. - Keep routing deterministic and rule-based before adding any LLM-on-LLM behavior. - Treat the output as a routing recommendation, not as transaction authority. ## Default routes - `zero-llm` - deterministic skills like `pet-me-master` - shellable tasks with no reasoning need - `bankr/minimax-m2.5` - casual chat, lightweight rewriting, simple summaries, low-risk classification - `bankr/claude-sonnet-4.5` - general reasoning, planning, product thinking, routine wallet ops - `bankr/gpt-5.2-codex` - coding-heavy patching, repo surgery, implementation details - `bankr/gemini-3-pro` - long-context synthesis and broad document digestion - `bankr/gemini-3-flash` - lightweight vision and quick multimodal triage - `bankr/claude-opus-4.6` - explicitly high-stakes wallet actions, security reviews, tricky architecture, final escalation ## Routing workflow 1. Check whether the request can be handled by a deterministic skill or script. 2. Classify the task: `chat`, `code`, `wallet`, `vision`, `long-context`, or `deterministic`. 3. Mark whether the request is high-stakes. 4. Route to the cheapest safe model. 5. Return the primary route, fallback route, and a short reason. ## Quick start ```bash python3 {baseDir}/scripts/route_message.py --text "pet all my 53 gotchis" --json python3 {baseDir}/scripts/route_message.py --text "rewrite this x thread shorter" --json python3 {baseDir}/scripts/route_message.py --text "swap ETH to USDC and send to treasury" --json bash {baseDir}/scripts/select_model.sh --text "build this feature in the repo" --mode summary ``` ## Wrapper entrypoint Use `scripts/select_model.sh` when you want a simple aaigotchi-friendly wrapper before model selection. It can emit just the route, full JSON, or shell-style env lines. ## References - Read `references/routing-table.md` for the routing rules and escalation thresholds. - Read `references/bankr-models.md` for the current Bankr model inventory and aaigotchi default.

标签

skill ai

通过对话安装

该技能支持在以下平台通过对话安装:

OpenClaw WorkBuddy QClaw Kimi Claude

方式一:安装 SkillHub 和技能

帮我安装 SkillHub 和 model-brain-1776102309 技能

方式二:设置 SkillHub 为优先技能安装源

设置 SkillHub 为我的优先技能安装源,然后帮我安装 model-brain-1776102309 技能

通过命令行安装

skillhub install model-brain-1776102309

下载 Zip 包

⬇ 下载 model-brain v0.1.2

文件大小: 7.24 KB | 发布时间: 2026-4-14 13:58

v0.1.2 最新 2026-4-14 13:58
Fix wrapper quoting for aaigotchi integration

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