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cnc-quote-skill数控报价技巧

Agent Skill

cnc-quote-skill 用于辅助前端页面、组件、样式和交互逻辑开发,适合在 OpenClaw 中需要维护前端项目、生成组件或检查界面实现时使用。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

2,258

周安装

96

GitHub Stars

公开资料未说明

下载量

791
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:cnc-quote-skill(数控报价技巧)
来源仓库:https://github.com/timo2026/cnc-quote-skill
安装命令:
openclaw skills install cnc-quote-skill
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 cnc-quote-skill

简介

人工智能驱动的数控加工报价系统,具有风险检测、材料优化和多渠道集成功能。专为 OpenClaw 生态系统而构建。

SKILL.md

name
cnc-quote-skill
description
AI-powered CNC machining quote system with risk detection, material optimization, and multi-channel integration. Built for OpenClaw ecosystem.
version
1.0.0
author
OpenClaw Community
license
MIT
tags
[cnc, manufacturing, ai, quote, risk-detection, manufacturing-automation]
openclaw
version
>=2026.3.0
category
productivity
emoji
⚙️

CNC Quote Skill

Overview

An intelligent CNC machining quotation system that combines rule-based pricing with AI-powered risk detection. Designed for manufacturers, machine shops, and procurement teams.

Key Features

  • Smart Quote Engine: Material cost + machining time + surface treatment calculation
  • Risk Detection: Automatic flagging of unusual orders (up to 25% risk detection rate)
  • Multi-Channel: QQ Bot, Email, and API integration
  • RAG-Powered: Hybrid retrieval with 1213 real quote records
  • Self-Learning: Continuous improvement from feedback

Installation

# Via ClawHub
openclaw skill install cnc-quote-skill

# Or from source
git clone https://github.com/openclaw-community/cnc-quote-skill.git
cd cnc-quote-skill
openclaw skill install .

Quick Start

from cnc_quote_skill import QuoteEngine

# Initialize engine
engine = QuoteEngine()

# Create a quote request
quote = engine.calculate({
    "material": "AL6061",
    "dimensions": {"length": 100, "width": 50, "height": 20},
    "surface_treatment": "anodizing",
    "quantity": 100,
    "urgency": "normal"
})

print(quote.total_price)  # ¥310.11
print(quote.confidence)   # 0.96
print(quote.risk_flags)   # []

Use Cases

Case 1: Risk Detection

Scenario: A customer requests an unusual combination of surface treatments.

Input: Anodizing + Chrome Plating (incompatible)
Output: ⚠️ RISK FLAGGED - Surface treatment conflict detected
        Recommended: Manual review required

Case 2: Cost Optimization

Scenario: Bulk order with complex geometry.

Input: 1000 units, complex 5-axis machining
Output: ✓ Optimized quote with bulk discount (15% off)
        Suggested: Batch processing for 20% additional savings

Case 3: Material Suggestion

Scenario: Customer requests generic "steel" material.

Input: Steel, outdoor application
Output: 💡 Suggestion: 304 Stainless Steel recommended
        Reason: Better corrosion resistance for outdoor use
        Price difference: +12%, but saves maintenance costs

Configuration

Edit config/quote_settings.json:

{
  "confidence_threshold": 0.7,
  "risk_sensitivity": "high",
  "currency": "CNY",
  "tax_rate": 0.13,
  "channels": ["qq", "email", "api"]
}

API Reference

QuoteEngine.calculate(order_details)

Calculate quote for a machining order.

Parameters:

  • material (str): Material type (e.g., "AL6061", "SUS304")
  • dimensions (dict): Length, width, height in mm
  • surface_treatment (str): Surface treatment type
  • quantity (int): Order quantity
  • urgency (str): "normal", "urgent", "rush"

Returns:

  • total_price (float): Total quote amount
  • breakdown (dict): Itemized costs
  • confidence (float): Quote confidence (0-1)
  • risk_flags (list): Risk warnings
  • suggestions (list): Optimization suggestions

Data Requirements

  • Training Data: Minimum 100 historical quotes recommended
  • Material Database: Pre-configured with 7 material types
  • Surface Treatments: 11 types with pricing rules

Performance Metrics

MetricValue
Quote Accuracy94% (within ±10%)
Risk Detection Rate25% of orders flagged
Average Processing Time< 2 seconds
Supported Materials111+ types

Changelog

v1.0.0 (2026-03-23)

  • Initial release
  • Core quote engine
  • Risk detection module
  • Multi-channel integration

License

MIT License - Free for commercial and personal use.

Support

  • GitHub Issues: Report a bug
  • Email: miscdd@163.com
  • QQ: 849355070

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

90.4%
按下载量换算715

安全审计

VirusTotal

通过

ClawScan

可疑

Static analysis

通过

权限和风险

需要联网

该 Skill 可能需要联网访问来源站点、仓库或外部 API;具体网络访问范围需要结合源码和 README 复核。

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。来源安全扫描存在 warning/failed 结果,不能写成本站确认安全。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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