12306

Community

lxyeternal

12306

Query China Railway 12306 for train schedules, remaining tickets, and station info. Use when user asks about train/高铁/火车 tickets, schedules, or availability within China.

Overview

Publisher	lxyeternal
Repository	`MalSkillBench`
Skill name	`12306`
Stars	64
Forks	14
Bundled files	1
Links	Skill source Repository

Markdown instructions
A SKILL.md file the model loads on demand, so it only costs tokens when a request actually matches.
Works with any LLM
AI skills are plain Markdown, not provider-specific code, so this works with GPT, Claude, Gemini, Grok, or a local model.
1 bundled files
Scripts, templates, and references the model can read while it works. Files are read-only and never executed.
Open source
Published by lxyeternal on GitHub. Read the source before you install it.

Installation

Install the 12306 AI skill in TypingMind to use it with any LLM, or drop it into another agent that reads SKILL.md.

Install in TypingMind

TypingMind installs a skill straight from its GitHub folder — it reads SKILL.md, bundles the resource files, and stores the result locally.

Open the app and go to Plugins → Skills.
Choose "Install from GitHub".
Paste the skill folder URL below and confirm.
https://github.com/lxyeternal/MalSkillBench/tree/main/Dataset/Skills/benign/12306
Enable the skill in any chat where you want it available.

Plugins → Skills → Add skill → From GitHub URL, then paste the folder URL and press Continue.

Install in another agent

Any agent that reads the Agent Skills format can use this skill — copy the folder into that agent's skills directory.

Claude Code — .claude/skills

git clone --depth 1 https://github.com/lxyeternal/MalSkillBench.git /tmp/MalSkillBench
mkdir -p .claude/skills
cp -r /tmp/MalSkillBench/Dataset/Skills/benign/12306 .claude/skills/12306

Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable 12306 in any TypingMind chat and the model takes it from there. Its name and description sit in the system prompt, and the moment a request matches, the model loads the full instructions itself — you never invoke it by hand, and it costs no tokens until it is actually used.

The model loads 12306 on its own as soon as a request matches it.

Works with any AI model

AI skills are plain Markdown instructions rather than provider-specific code, so 12306 is not tied to the model it was written for. Install it once in TypingMind and use it with GPT-5, Claude, Gemini, Grok, DeepSeek, Mistral, Llama, or a local model you run yourself — all on your own API keys.

Loaded only when it is needed
The system prompt carries just the name and description. The instructions are fetched on the first matching request, so an idle skill costs nothing.
Switch models mid-chat
Because the skill is instructions rather than code, changing model does not break it — the next model reads the same SKILL.md.

Skill instructions

This is the SKILL.md content the model loads. Read it before installing — a skill is instructions your model will follow.

12306 Train Query

Query train schedules and remaining tickets from China Railway 12306.

Query Tickets

bash
node {baseDir}/scripts/query.mjs <from> <to> [options]

HTML mode (default): writes file, prints path to stdout
Markdown mode (-f md): prints table to stdout

Examples

bash
# All trains from Beijing to Shanghai (defaults to today)
node {baseDir}/scripts/query.mjs 北京 上海

# Markdown table output (to stdout, good for chat)
node {baseDir}/scripts/query.mjs 北京 上海 -t G -f md

# Morning departures, 2h max, with second class available
node {baseDir}/scripts/query.mjs 上海 杭州 -t G --depart 06:00-12:00 --max-duration 1h --seat ze

# Only bookable trains arriving before 6pm
node {baseDir}/scripts/query.mjs 深圳 长沙 --available --arrive -18:00

# Custom output path
node {baseDir}/scripts/query.mjs 广州 武汉 -o /tmp/tickets.html

# JSON output (to stdout)
node {baseDir}/scripts/query.mjs 广州 武汉 --json

Options

-d, --date <YYYY-MM-DD>: Travel date (default: today)
-t, --type <G|D|Z|T|K>: Filter train types (combinable, e.g. GD)
--depart <HH:MM-HH:MM>: Depart time range (e.g. 08:00-12:00, 18:00-)
--arrive <HH:MM-HH:MM>: Arrive time range (e.g. -18:00, 14:00-20:00)
--max-duration <duration>: Max travel time (e.g. 2h, 90m, 1h30m)
--available: Only show bookable trains
--seat <types>: Only show trains with tickets for given seat types (comma-separated: swz,zy,ze,rw,dw,yw,yz,wz)
-f, --format <html|md>: Output format — html (default, saves file) or md (markdown table to stdout)
-o, --output <path>: Output file path, html mode only (default: {baseDir}/data/<from>-<to>-<date>.html)
--json: Output raw JSON to stdout

Output Columns

Column	Meaning
商务/特等	Business class / Premium (swz)
一等座	First class (zy)
二等座	Second class (ze)
软卧/动卧	Soft sleeper / Bullet sleeper (rw/dw)
硬卧	Hard sleeper (yw)
硬座	Hard seat (yz)
无座	Standing (wz)

Values: number = remaining seats, 有 = available (qty unknown), — = not applicable

Station Lookup

bash
node {baseDir}/scripts/stations.mjs 杭州
node {baseDir}/scripts/stations.mjs 香港西九龙

Notes

Data comes directly from 12306 official API (no key needed)
Station data is cached for 7 days in {baseDir}/data/stations.json
Supports city names (resolves to main station) or exact station names
Works for all train types: G (高铁), D (动车), Z (直达), T (特快), K (快速)

Bundled files

The model reads these on demand while the skill is loaded. They are exposed as readable files and are never executed.

_meta.json1 KB

Frequently asked questions

What does the 12306 AI skill do?

Query China Railway 12306 for train schedules, remaining tickets, and station info. Use when user asks about train/高铁/火车 tickets, schedules, or availability within China.

Why use 12306 on TypingMind?

Because you install it once and use it with any model. 12306 is plain Markdown rather than provider-specific code, so the same skill runs on GPT-5, Claude, Gemini, Grok, or a local model — and you can switch model mid-chat without it breaking. TypingMind runs on your own API keys, so you pay providers directly instead of a per-seat subscription, and your skills and chats stay in your own storage.

How do I install 12306 in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/lxyeternal/MalSkillBench/tree/main/Dataset/Skills/benign/12306. TypingMind reads its SKILL.md and bundles its files and installs it as a skill you can enable per chat.

Which AI models can use 12306?

Any model you connect in TypingMind. AI skills are plain Markdown instructions rather than provider-specific code, so GPT, Claude, Gemini, Grok, and local models can all load this skill when a request matches it.

How many AI models can I use with 12306?

As many as you like. As long as a model supports skills, you can use 12306 with it — GPT, Claude, Gemini, Grok, DeepSeek, Mistral, Llama and more — all on TypingMind with your own API keys.

Is the 12306 AI skill free?

It is published on GitHub by lxyeternal. Check the repository for licensing terms. You only pay your own AI provider for the tokens you use.

What are AI skills?

An AI skill is a reusable instruction bundle that teaches an AI model how to do one specific task. It follows the open Agent Skills format: a SKILL.md file with a name and description, plus any scripts, templates or reference files the model may need. The model reads the instructions only when your request matches the skill, so an installed skill costs nothing until it is used.

How are AI skills different from plugins or MCP servers?

A plugin or MCP server gives a model new tools to call — code that runs somewhere and returns a result. An AI skill gives the model knowledge and process instead: how to approach a task, which steps to follow, what good output looks like. Skills are plain Markdown, so they need no server, no API key and no runtime, and they work with any model.

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Overview

Installation

Install in TypingMind

Install in another agent

Use it in TypingMind

Works with any AI model

Skill instructions

12306 Train Query

Query Tickets

Examples

Options

Output Columns

Station Lookup

Notes

Bundled files

Frequently asked questions

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