技能详情（站内镜像，无评论）
作者：走过 @1970168137
许可证：MIT-0
MIT-0 ·免费使用、修改和重新分发。无需归因。
版本：v1.0.0
统计：⭐ 0 · 90 · 0 current installs · 0 all-time installs
⭐ 0
安装量（当前） 0
🛡 VirusTotal ：良性 · OpenClaw ：良性
Package：1970168137/china-industrial-machinery-sourcing
安全扫描（ClawHub）
- VirusTotal ：良性
- OpenClaw ：良性
OpenClaw 评估
The skill's code and instructions are consistent with its stated purpose (local, read-only industry intelligence served from bundled data.json) and do not request credentials or external installs.
目的
Name/description match the implemented functionality: do.py reads structured data.json and exposes read-only query functions for industry overview, clusters, subsectors and sourcing guidance. No unrelated capabilities (cloud access, system administration, or communications) are requested.
说明范围
SKILL.md describes using the packaged data and the available Python API; runtime instructions reference only data.json and the local functions. There are no instructions to read unrelated files, access arbitrary env vars, or transmit data externally.
安装机制
No install spec; the skill is instruction-plus-local-code only. Files are bundled (do.py and data.json) and there are no downloads, external package installs, or archive extraction steps.
证书
The skill declares no required environment variables, credentials, or config paths and its code does not reference secrets or external services. Requested access is proportionate to a read-only data lookup skill.
持久
Skill is not always-enabled, does not modify other skill configurations, and has no autonomous privilege escalation indicators. It runs as a normal invocable skill with a limited local surface.
综合结论
This package is a local, read-only intelligence bundle: it serves data from the included data.json via simple Python functions and does not contact external endpoints or require credentials. Before installing, consider: (1) verify the data sources and currency if you need authoritative or legally compliant supplier info; (2) do your own supplier due diligence before sharing sensitive company info with contacts in-country; and (3) if you plan t…
安装（复制给龙虾 AI）
将下方整段复制到龙虾中文库对话中，由龙虾按 SKILL.md 完成安装。
请把本段交给龙虾中文库（龙虾 AI）执行：为本机安装 OpenClaw 技能「China Industrial Machinery Sourcing」。简介：Comprehensive industrial machinery industry sourcing guide for international bu…。
请 fetch 以下地址读取 SKILL.md 并按文档完成安装：https://raw.githubusercontent.com/openclaw/skills/refs/heads/main/skills/1970168137/china-industrial-machinery-sourcing/SKILL.md
（来源：yingzhi8.cn 技能库）SKILL.md
---
name: china-industrial-machinery-sourcing
version: 1.0.0
description: "Comprehensive industrial machinery industry sourcing guide for international buyers – provides detailed information about China's machine tools, construction machinery, agricultural equipment, packaging lines, robotics, and other industrial machinery manufacturing clusters, supply chain structure, regional specializations, and industry trends (2026 updated)."
author: "sourcing-china"
tags:
- industrial-machinery
- machine-tools
- construction-equipment
- agricultural-machinery
- packaging-machinery
- robotics
- sourcing
- supply-chain
invocable: true
---
# China Industrial Machinery Sourcing Skill
## Description
This skill helps international buyers navigate China's industrial machinery manufacturing landscape, which is projected to exceed **¥11.8 trillion in revenue by 2026**. It provides data-backed intelligence on regional clusters, supply chain structure, and industry trends based on the latest government policies and industry reports.
## Key Capabilities
- **Industry Overview**: Get a summary of China's industrial machinery industry scale, development targets, and key policy initiatives.
- **Supply Chain Structure**: Understand the complete industry chain from raw materials and core components to downstream applications.
- **Regional Clusters**: Identify specialized manufacturing hubs for different machinery types (CNC machine tools, construction machinery, agricultural equipment, packaging lines, robotics, etc.).
- **Subsector Insights**: Access detailed information on key subsectors (metal cutting machine tools, construction machinery, agricultural machinery, packaging machinery, industrial robots, etc.).
- **Sourcing Recommendations**: Get practical guidance on evaluating and selecting suppliers, including verification methods, communication best practices, and typical lead times.
## How to Use
You can interact with this skill using natural language. For example:
- "What's the overall status of China's industrial machinery industry in 2026?"
- "Show me the supply chain structure for industrial machinery"
- "Which regions are best for sourcing CNC machine tools?"
- "Tell me about construction machinery manufacturing clusters in China"
- "How do I evaluate suppliers of packaging lines?"
- "What certifications should I look for in industrial robot suppliers?"
## Data Sources
This skill aggregates data from:
- Ministry of Industry and Information Technology (MIIT) official policies
- China Machinery Industry Federation (CMIF) annual reports
- National Bureau of Statistics of China
- Industry research publications (updated Q1 2026)
## Implementation
The skill logic is implemented in `do.py`, which reads structured data from `data.json`. All data is cluster-level intelligence without individual factory contacts.
## API Reference
The following Python functions are available in `do.py` for programmatic access:
### `get_industry_overview() -> Dict`
Returns overview of China's industrial machinery industry scale, targets, and key policy initiatives.
**Example:**
```python
from do import get_industry_overview
result = get_industry_overview()
# Returns: industry scale, 2026 targets, automation rates, key drivers, etc.