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 · 86 · 0 current installs · 0 all-time installs
⭐ 0
安装量（当前） 0
🛡 VirusTotal ：良性 · OpenClaw ：良性
Package：1970168137/china-vehicle-sourcing
安全扫描（ClawHub）
- VirusTotal ：良性
- OpenClaw ：良性
OpenClaw 评估
The skill's code, data, and runtime instructions are consistent with a read-only, local vehicle-sourcing reference and do not request unrelated credentials, network access, or system privileges.
目的
The name/description (China vehicle sourcing intelligence) matches the implementation: a local data.json with cluster-level industry information and a do.py module exposing read-only accessor functions. There are no unrelated requirements (no cloud creds, no extra binaries).
说明范围
SKILL.md describes usage and data sources and instructs the agent to use provided library functions; it does not ask the agent to read unrelated files, query external endpoints, or exfiltrate data. The implementation (do.py) reads only the bundled data.json and performs local lookups.
安装机制
No install spec is provided (instruction-only with code/data bundled). That is low-risk: nothing is downloaded or installed at runtime beyond the included files.
证书
The skill declares no required environment variables, credentials, or config paths, and the code does not access environment secrets or external auth — proportionate to its claimed purpose.
持久
always is false and the skill does not modify agent/system settings; it only reads local data and prints or returns structures. No elevated persistence or cross-skill configuration changes are requested.
综合结论
This skill appears to be a self-contained, read-only reference implemented with local JSON and Python helpers. Before installing, consider: (1) data provenance — SKILL.md cites official sources but includes no direct citations; verify critical facts against primary sources if you will rely on them for decisions; (2) data freshness — data.json lists last_updated 2026-03-14, so confirm it's acceptable for your use; (3) privacy — review data.json…
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 Vehicle Sourcing」。简介：Comprehensive vehicle sourcing guide for international buyers – provides detail…。
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-vehicle-sourcing/SKILL.md
（来源：yingzhi8.cn 技能库）SKILL.md
---
name: china-vehicle-sourcing
version: 1.0.0
description: "Comprehensive vehicle sourcing guide for international buyers – provides detailed information about China's passenger car, commercial vehicle, motorcycle, and new energy vehicle manufacturing industry, including regional clusters, production bases, key players, and sourcing best practices (2026 updated)."
author: "sourcing-china"
tags:
- vehicle-sourcing
- automotive
- passenger-cars
- commercial-vehicles
- motorcycles
- NEV
- electric-vehicles
- manufacturing
- sourcing
- supply-chain
invocable: true
---
# China Vehicle Sourcing Skill
## Description
This skill helps international buyers navigate China's vehicle manufacturing landscape, which produces over 30 million vehicles annually and is projected to exceed **¥12.5 trillion in revenue by 2026**. It provides data-backed intelligence on regional production clusters, vehicle types (passenger cars, commercial vehicles, motorcycles, NEVs), key manufacturers, and industry trends based on the latest government policies and industry reports.
## Key Capabilities
- **Industry Overview**: Get a summary of China's vehicle industry scale, production targets, and key policy initiatives.
- **Supply Chain Structure**: Understand the complete vehicle supply chain from raw materials to manufacturing and sales channels.
- **Regional Clusters**: Identify specialized production hubs for different vehicle types (passenger cars, commercial vehicles, motorcycles, NEVs) across China.
- **Vehicle Type Insights**: Access detailed information on key vehicle segments (passenger cars, commercial vehicles, motorcycles, new energy vehicles).
- **Sourcing Recommendations**: Get practical guidance on evaluating vehicle manufacturers, including verification methods, communication best practices, typical lead times, and payment terms.
## How to Use
You can interact with this skill using natural language. For example:
- "What's the overall status of China's vehicle industry in 2026?"
- "Show me the supply chain structure for vehicle manufacturing"
- "Which regions are best for sourcing NEVs?"
- "Tell me about motorcycle manufacturing clusters"
- "How do I evaluate commercial vehicle suppliers?"
- "What are the requirements for importing vehicles from China?"
## Data Sources
This skill aggregates data from:
- Ministry of Industry and Information Technology (MIIT) official policies
- China Association of Automobile Manufacturers (CAAM)
- China Motorcycle Association
- National Bureau of Statistics of China
- China Customs export data
- 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 vehicle industry scale, targets, and key policy initiatives.
**Example:**
```python
from do import get_industry_overview
result = get_industry_overview()
# Returns: production volume, revenue, NEV share, export volume, etc.