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 · 84 · 0 current installs · 0 all-time installs
⭐ 0
安装量(当前) 0
🛡 VirusTotal :良性 · OpenClaw :良性
Package:1970168137/china-vehicle-accessories-sourcing
安全扫描(ClawHub)
- VirusTotal :良性
- OpenClaw :良性
OpenClaw 评估
The skill's files, runtime instructions, and requested resources are consistent with a read-only China vehicle accessories sourcing guide — it does not request credentials, install external code, or perform network or filesystem access beyond loading its bundled data.
目的
The name and description (industry sourcing guide) match the included assets: an explanatory SKILL.md, a static data.json, and a small Python API (do.py) that exposes read-only accessors. There are no unrelated credentials, binaries, or config paths required.
说明范围
SKILL.md describes using the skill to query industry, supply chain, clusters, and sourcing guidance. The instructions do not direct the agent to read other system files, environment variables, or send data to external endpoints. do.py only reads the bundled data.json and provides lookup/search functions.
安装机制
There is no install spec; this is an instruction-plus-bundled-data skill. No external downloads, package installs, or archive extraction are specified. The code runs against local files only.
证书
The skill declares no required environment variables, credentials, or config paths and the implementation does not access them. No disproportionate secret or credential access is requested.
持久
always is false and the skill does not modify agent/system configuration. The skill can be invoked autonomously by the agent (platform default), which is expected for a user-invocable informational skill.
综合结论
This skill appears coherent and self-contained. Before installing: 1) Review data.json if you need source verification or worry about incorrect/outdated claims (the skill bundles static industry data and supplier examples). 2) Note it explicitly says it contains cluster-level information only — it does not include factory contact details or live supplier endpoints. 3) If you plan to act on sourcing recommendations, independently verify supplie…
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 Accessories Sourcing」。简介:Comprehensive vehicle accessories industry sourcing guide for international buy…。
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-accessories-sourcing/SKILL.md
(来源:yingzhi8.cn 技能库)
SKILL.md
---
name: china-vehicle-accessories-sourcing
version: 1.0.0
description: "Comprehensive vehicle accessories industry sourcing guide for international buyers – provides detailed information about China's aftermarket products for all vehicle types (passenger cars, commercial vehicles, motorcycles, etc.) including interior/exterior trim, electronics, lighting, vehicle care, functional accessories, and safety equipment manufacturing clusters, supply chain structure, regional specializations, and industry trends (2026 updated)."
author: "sourcing-china"
tags:
- vehicle-accessories
- automotive-aftermarket
- car-accessories
- truck-accessories
- motorcycle-accessories
- dash-cams
- floor-mats
- seat-covers
- roof-racks
- vehicle-care
- led-lighting
- sourcing
- supply-chain
invocable: true
---
# China Vehicle Accessories Sourcing Skill
## Description
This skill helps international buyers navigate China's vehicle accessories manufacturing landscape, which is projected to exceed **¥1.2 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 a wide range of aftermarket products for all vehicle types: interior accessories (seat covers, floor mats), exterior accessories (roof racks, window visors), electronic gadgets (dash cams, GPS), lighting upgrades, vehicle care chemicals, functional accessories (roof boxes, tow bars, truck bed accessories), and safety equipment.
## Key Capabilities
- **Industry Overview**: Get a summary of China's vehicle accessories industry scale, development targets, and key policy initiatives.
- **Supply Chain Structure**: Understand the complete industry chain from raw materials and semi-finished goods to manufacturing and sales channels.
- **Regional Clusters**: Identify specialized manufacturing hubs for different accessory types (electronics, interior, exterior, vehicle care, etc.), including those serving commercial vehicle and motorcycle segments.
- **Subsector Insights**: Access detailed information on key subsectors (electronic accessories, interior accessories, exterior accessories, lighting, vehicle care products, functional accessories, safety accessories).
- **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 accessories industry in 2026?"
- "Show me the supply chain structure for vehicle accessories"
- "Which regions are best for sourcing dash cams and vehicle electronics?"
- "Tell me about floor mat manufacturing clusters for trucks and cars"
- "How do I evaluate suppliers of vehicle care products?"
- "What certifications should I look for in child safety seats?"
- "Do you have information on motorcycle accessories suppliers?"
## Data Sources
This skill aggregates data from:
- China Vehicle Accessories Industry Association (formerly Auto Accessories)
- Ministry of Commerce of the People's Republic of China
- National Bureau of Statistics of China
- China Council for the Promotion of International Trade (CCPIT)
- 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 accessories 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.