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：v1.0.1
统计：⭐ 0 · 104 · 0 current installs · 0 all-time installs
⭐ 0
安装量（当前） 0
🛡 VirusTotal ：良性 · OpenClaw ：良性
Package：1970168137/china-vehicle-parts-sourcing
安全扫描（ClawHub）
- VirusTotal ：良性
- OpenClaw ：良性
OpenClaw 评估
The skill's files and runtime instructions match its stated purpose (local, read-only industry data + query helpers) and it does not request credentials, perform network calls, or install external code.
目的
The name/description (China vehicle parts sourcing) align with the provided assets: a data.json containing cluster- and industry-level information and do.py functions that expose read-only accessors. Nothing in the manifest requests unrelated capabilities (no cloud credentials, no unrelated binaries).
说明范围
SKILL.md describes using the skill for queries about industry structure and sourcing. The implementation reads only the included data.json and returns structured answers; there are no instructions to read unrelated files, environment variables, or transmit data to external endpoints.
安装机制
There is no install spec — the skill is instruction/code-only and loads local data.json. No downloads, package installs, or archive extraction are requested.
证书
The skill declares no required environment variables, credentials, or config paths and the code does not reference os.environ or external secret files. Credential access is therefore proportionate to the described functionality (none needed).
持久
always:false (not force-included) and the skill does not attempt to modify agent configuration or other skills. It can be invoked autonomously (platform default), which is reasonable for a read-only data skill.
综合结论
This skill is a self-contained read-only dataset and Python helpers for querying China's vehicle-parts industry; it does not request secrets or perform network calls. Before installing, review data.json to confirm the sources, date stamps, and that no contact-level or confidential data is included. If you need up-to-date supplier contact information or live verification, understand this skill only provides cluster-level intelligence and not re…
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 Parts Sourcing」。简介：Comprehensive vehicle parts industry sourcing guide for international buyers – …。
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-parts-sourcing/SKILL.md
（来源：yingzhi8.cn 技能库）SKILL.md
---
name: china-vehicle-parts-sourcing
version: 1.0.1
description: "Comprehensive vehicle parts industry sourcing guide for international buyers – provides detailed information about China's automotive component manufacturing clusters covering passenger cars, commercial vehicles, and motorcycles. Includes supply chain structure, regional specializations, and industry trends (2026 updated)."
author: "sourcing-china"
tags:
- vehicle-parts
- automotive
- commercial-vehicle
- truck-parts
- motorcycle-parts
- NEV
- batteries
- powertrain
- chassis
- electronics
- sourcing
- supply-chain
invocable: true
---
# China Vehicle Parts Sourcing Skill
## Description
This skill helps international buyers navigate China's vehicle parts manufacturing landscape, which is projected to exceed **¥6.2 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. Coverage includes traditional ICE components, NEV-specific parts (batteries, motors, electronic control), ADAS electronics, aftermarket parts, and specialized components for commercial vehicles (trucks, buses) and motorcycles.
## Key Capabilities
- **Industry Overview**: Get a summary of China's vehicle parts 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 across all vehicle types.
- **Regional Clusters**: Identify specialized manufacturing hubs for different vehicle parts (powertrain, electrification, chassis, body, interior, electronics, aftermarket) for passenger cars, commercial vehicles, and motorcycles.
- **Subsector Insights**: Access detailed information on key subsectors (powertrain, electrification components, chassis, body, interior, automotive electronics, aftermarket).
- **Sourcing Recommendations**: Get practical guidance on evaluating and selecting suppliers, 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 parts industry in 2026?"
- "Show me the supply chain structure for vehicle parts"
- "Which regions are best for sourcing EV batteries for trucks?"
- "Tell me about motorcycle engine manufacturing clusters"
- "How do I evaluate suppliers of commercial vehicle axles?"
- "What certifications should I look for in vehicle parts suppliers?"
## 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
- 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 parts 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.