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model-brain大脑模型

Agent Skill

model-brain 用于补充开发相关能力,适合在 OpenClaw 中需要让 Agent 承接开发相关任务时使用。可结合来源仓库、安装命令和原始 README 继续核验具体用法。安装前建议确认权限范围、维护状态,以及是否会触发联网、命令执行或文件读写。

总安装

4,775

周安装

197

GitHub Stars

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下载量

1,560
OpenClaw

安装说明

本站只整理中文说明和来源信息,不托管安装包,也不代用户安装。

GitHub

来源数

2

许可证

MIT-0

最后核验

2026-05-01

来源状态

来源可访问

安装方式

通过对话安装

复制提示词发给支持本地命令或 Skills 的 AI 助手,先确认命令和权限,再让它执行。

请帮我安装这个 Agent Skill:model-brain(大脑模型)
来源仓库:https://github.com/aaigotchi/model-brain
安装命令:
openclaw skills install model-brain
安装前请先检查当前环境是否支持对应 CLI,并向我确认将要执行的命令、安装目录、联网范围和文件读写权限;确认后再执行。

命令行安装

复制命令到本机终端执行。该命令会通过 OpenClaw 从第三方来源获取 Skill;本站只展示命令,不托管安装包,也不自动执行。

ClawHubOpenClaw
openclaw skills install model-brain

简介

动态路由消息至最适合的 Bankr/OpenClaw 模型。

  • 适合高并发场景下平衡成本与响应质量。model-brain 属于开发类 Skill,可作为该场景下的辅助能力补充。
  • 支持零 LLM 路径处理简单任务提升效率。
  • 配置变更后应验证路由逻辑是否符合预期。
  • 建议监控各模型负载情况及时调整权重。适用宿主包括 OpenClaw,接入前应确认版本、权限和运行环境要求。

SKILL.md

name
model-brain
description
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.

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

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.

适合场景

01

OpenClaw 用户查找和安装 Skill 时

02

用户想查找某类 Agent Skill 时

03

需要根据任务场景推荐可安装能力包时

04

需要对比不同来源的安装命令和来源信息时

能力概览

能力 1

按任务关键词查找相关 Skills

能力 2

展示可复制的安装命令

能力 3

保留来源站点、仓库和原始说明,方便继续核验

能力 4

补充不同宿主或平台的使用分布数据

能力 5

展示第三方安全扫描或审计结果

安装后应在对应宿主中按原始 README 的触发条件使用;具体调用方式请以来源页面和 README 为准。

平台分布

OpenClaw

77.99%
按下载量换算1,217

安全审计

VirusTotal

未展示

ClawScan

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Static analysis

通过

权限和风险

执行命令

安装流程涉及命令执行,可能通过 openclaw skills install model-brain 联网下载 Skill 或依赖。用户安装前应确认命令来源、仓库内容和执行环境。

安装前确认

本站仅展示第三方公开信息,不托管安装包,不提供自动安装或运行环境。安装前应自行审查源码、依赖和命令行为。当前只有一个来源,正式发布前建议补源仓库或其他目录站核验。

来源信息

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