An automated assistant for searching, booking, and managing Fenbeitong train tickets in real-time via OpenAPI integration.
The fastest way to install a skill directly from the registry.
npx clawhub@latest install trains
Copy the skill folder to one of these locations
~/.openclaw/skills/ <project>/skills/ Priority: Workspace > Local > Bundled
Copy this prompt to OpenClaw to install it automatically.
Help me install trains using Clawhub. If Clawhub is not installed, install it first (npm i -g clawhub).
Get the raw skill files in a ZIP archive.
The fb-train-skill is a professional-grade automation tool designed to interface directly with the Fenbeitong travel platform. This skill enables AI agents to perform real-time queries for train tickets, display detailed schedules, and execute the full booking lifecycle—from seat selection to payment redirection. By utilizing this component of Openclaw Skills, users can bypass manual search interfaces and manage their corporate or personal travel through simple conversational commands.
Built for reliability, the skill strictly adheres to the Fenbeitong OpenAPI V2, ensuring that all train numbers, pricing, and availability data are accurate and up-to-date. It serves as a bridge between the agent and the railway ticketing system, providing a structured way to handle complex travel logistics efficiently.
search_train_list function within the fb_train_api.py script to fetch live data from the Fenbeitong servers.get_train_detail endpoint to retrieve specific seat types and remaining ticket counts.To utilize this skill, ensure your environment meets the following requirements:
688c927d2cf90c6f0595571d.# Ensure the core API script is accessible
chmod +x scripts/fb_train_api.py
# The skill will internally invoke Python functions to reach the OpenAPI
# base URL: https://openapiv2.fenbeitong.com
The skill organizes railway data through structured JSON responses and specific enumerations. Below are the primary metadata schemas:
| Data Type | Field Name | Possible Values |
|---|---|---|
| Seat Type | seat_type |
9: Business, 1: First, 2: Second, 3: Soft Sleeper, 4: Hard Sleeper |
| Order Status | order_status |
1: Pending, 2: Paid, 4: Issued, 5: Canceled, 7: Refunded |
| Request Format | Content-Type |
application/json |
| Date Format | travel_date |
yyyy-MM-dd |
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