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claw-turbo

面向 OpenClaw 的技能路由中间件：用编译后的正则匹配用户消息，命中后按 routes.yaml 的命令模板直接执行脚本并返回模板响应，未命中则转发给本地 LLM。支持命名捕获组、路由热加载和 CLI 匹配测试，依赖 Python3、bash 与 PyYAML，可完全离线运行。

jacobye2017-afk
jacobye2017-afk
热度 34.34
最近更新 2026-05-18 11:40:22
分类：自动化依赖：代码执行 / 读写文件 / 内部调用大模型应用场景：自动化脚本 / 工作流 / DevOps / API 集成

安装技能

复制下面的话术发给你的 Agent，它会通过 secure-skills 检索并安装该技能。

执行命令安装此 skill： npx secure-skills-cli add claw-turbo
Metadata
name
claw-turbo
version
1.0.0
description
Zero-latency regex-based skill routing middleware for OpenClaw. Intercepts known user commands (deploy, restart, print, check logs, etc.) using compiled regex patterns and executes skill scripts directly — bypassing LLM inference entirely. 400,000x faster than LLM routing for matched commands, with 100% accuracy.
metadata
{"openclaw":{"emoji":"⚡","homepage":"https://github.com/jacobye2017-afk/claw-turbo","primaryEnv":"python","requires":{"bins":["python3","bash"]},"os":["macos","linux"],"tags":["routing","middleware","regex","performance","automation","devops","ollama","local-llm"]}}

What is claw-turbo?

claw-turbo is a zero-latency, zero-ML skill routing middleware that sits between OpenClaw and your local LLM (Ollama). It intercepts user messages using regex pattern matching and executes skill scripts directly — no LLM inference needed.

Simple commands get instant, perfect execution. Complex queries still go to your LLM.

User message → claw-turbo (regex match, <0.01ms)
                  ├── MATCH → execute script directly (0ms, 100% accurate)
                  └── NO MATCH → forward to LLM (normal processing)

Why use claw-turbo?

Approach Latency Accuracy Dependencies
claw-turbo 5 us 100% PyYAML only
LLM routing (Gemma/Llama) 2-10s ~80% Ollama + VRAM
Semantic routing 50-200ms ~95% embedding model

Local LLMs are unreliable for simple, repetitive commands:

  • They don't always follow tool-calling instructions
  • They hallucinate flags and wrong parameters
  • Context window limits cause instruction loss

Installation

git clone https://github.com/jacobye2017-afk/claw-turbo.git
cd claw-turbo
pip install -e .

Quick Start

1. Define routes in routes.yaml

routes:
  - name: deploy-staging
    description: "Deploy a service to staging"
    patterns:
      - 'deploy\s+(?P<service>\w+)\s+(?:to\s+)?staging'
    command: 'bash /opt/scripts/deploy.sh {{service}} staging'
    response_template: "Deployed {{service}} to staging"

  - name: restart-service
    patterns:
      - 'restart\s+(?P<service>[\w-]+)'
    command: 'systemctl restart {{service}}'
    response_template: "Restarted {{service}}"

2. Test matching

claw-turbo test "deploy auth-service to staging"
# MATCHED: deploy-staging
#   Captures: {'service': 'auth-service'}
#   Time: 4.8us

3. Start the proxy

claw-turbo serve --port 11435

Then change OpenClaw's Ollama baseUrl to http://127.0.0.1:11435.

Use Cases

  • DevOps: "restart nginx", "deploy to staging", "show logs for api-server"
  • Document processing: "print report ABC123", "generate invoice 456"
  • IoT / smart office: "turn on lights", "set AC to 22 degrees"
  • Data pipelines: "run ETL for 2024-01", "refresh dashboard"
  • Customer service: "check order ORD-789", "refund order ORD-789"

Features

  • Sub-microsecond regex matching (compiled patterns)
  • Named capture groups → template variables
  • Hot-reload routes.yaml (no restart needed)
  • Transparent HTTP proxy (Ollama API compatible)
  • Multi-language patterns (Chinese, English, any language)
  • Zero ML dependencies (PyYAML + stdlib only)
  • Works fully offline

CLI

claw-turbo serve [--port 11435]     Start HTTP proxy
claw-turbo test "message"           Test pattern matching
claw-turbo routes                   List all routes
claw-turbo add-skill <path>         Generate route from SKILL.md

Links