A specialized skill for decoding 17-digit Vehicle Identification Numbers (VIN) into detailed technical vehicle specifications via the JZ Data API.
Install & Download
1. ClawHub CLI
The fastest way to install a skill directly from the registry.
npx clawhub@latest install vincartype
2. Manual Installation
Copy the skill folder to one of these locations
~/.openclaw/skills/ <project>/skills/ Priority: Workspace > Local > Bundled
3. Prompt Installation
Copy this prompt to OpenClaw to install it automatically.
Help me install vincartype using Clawhub. If Clawhub is not installed, install it first (npm i -g clawhub).
Prefer to download?
Get the raw skill files in a ZIP archive.
What is JZ Data VIN Car Type Decoder?
The JZ Data VIN Car Type Decoder is a robust integration designed for the Openclaw Skills ecosystem. It enables AI agents and developers to transform a standard 17-digit VIN into a comprehensive profile of a vehicle, including its brand, series, year, engine type, and transmission details. This tool bridges the gap between raw automotive identifiers and actionable data.
By leveraging the JZ Data backend, this skill provides high-accuracy lookups for the Chinese automotive market. It is an essential component for workflows requiring precise vehicle identification, maintenance scheduling, or parts cataloging, ensuring that Openclaw Skills users have access to reliable automotive intelligence.
JZ Data VIN Car Type Decoder Use Cases
- Automatically identifying vehicle specifications from a provided VIN in customer support chats.
- Validating vehicle details for insurance or second-hand car trading platforms.
- Enriching automotive databases with precise engine and chassis information.
- Assisting mechanics in identifying the exact transmission or displacement for specific vehicle models.
How JZ Data VIN Car Type Decoder Works
- The user or agent provides a 17-digit VIN string as an input argument to the skill.
- The skill script authenticates with the JZ Data API using the JZ_API_KEY environment variable.
- A request is sent to the JZ Data backend service to resolve the VIN.
- The API returns a detailed JSON object containing vehicle metadata (brand, model, engine, etc.).
- The skill parses the result and presents it in a structured format for the AI agent to summarize for the end-user.
JZ Data VIN Car Type Decoder Setup
To use this member of the Openclaw Skills library, you must first obtain an API key from JZ Data (Contact: 15821282326).
# Linux / macOS
export JZ_API_KEY="your_appkey_here"
# Windows PowerShell
$env:JZ_API_KEY="your_appkey_here"
# Execution command
python3 skills/vincartype/get_vin_cartype.py <17_DIGIT_VIN>
JZ Data VIN Car Type Decoder Data Schema & Taxonomy
The skill returns a structured JSON object. Below are the primary fields decoded from the VIN:
| Field | Description |
|---|---|
lyBrand |
The vehicle brand (e.g., Jeep) |
carType |
Specific model name |
productTime |
Production year |
salesName |
Commercial name including trim level |
engineType |
Engine code or type |
displacement |
Engine size (e.g., 2.0) |
transmissionDesc |
Details on the gearbox (e.g., 8-speed AT) |
chassis |
Chassis code (e.g., JL) |
JZ Data VIN Car Type Decoder Advanced Features
- Multi-field extraction: Captures niche data points like drive type (4WD/2WD) and oil drive type.
- Error Handling: Integrated error codes (10001 for params, 10004 for no data) for robust agent decision-making.
- Seamless Openclaw Integration: Designed to be called by AI agents to provide natural language summaries of complex technical vehicle data.
SKILL.md
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