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Coin Collection Truck 香港收銀車

作者 sodiasm · GitHub ↗ · v0.1.0 · MIT-0
cross-platform ✓ 安全检测通过
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在 OpenClaw 中安装
/install coin-collection-truck
功能描述
Agent skill to search for the Hong Kong Coin Cart (收銀車) locations and schedules. Use this skill when a user asks about the location, schedule, or availabilit...
使用说明 (SKILL.md)

Hong Kong Coin Collection Truck (收銀車) Skill

This skill provides the ability to query the official schedule and locations of the Hong Kong Monetary Authority's Coin Collection Fleet (收銀車). The fleet consists of two trucks ("收銀車1號" and "收銀車2號") that travel across different districts in Hong Kong to collect coins from the public.

How to Use This Skill

To answer user queries about the coin truck locations, you must use the provided Python script to query the local database.

The Query Script

Execute the following script using the shell tool:

python3 /home/ubuntu/skills/coin-collection-truck/scripts/query_coin_truck.py [OPTIONS]

Available Arguments

  • --date \x3CDATE>: Query the active locations for a specific date.
    • Accepts today, tomorrow, or an ISO date string YYYY-MM-DD.
    • Example: --date today or --date 2026-03-20
  • --district \x3CDISTRICT>: Filter the results by district name (partial match, Chinese or English).
    • Example: --district 沙田區 or --district "Sha Tin"
  • --truck \x3CTRUCK_NAME>: Filter by a specific truck.
    • Example: --truck 收銀車1號
  • --upcoming: Show the upcoming schedule from a specific date (or today if --date is omitted).
    • Example: --upcoming --days 7 (shows the schedule for the next 7 days)
  • --list-districts: List all available districts in the database.

Handling Natural Language Queries

  1. "Where are the coin trucks today?"
    • Run: python3 /home/ubuntu/skills/coin-collection-truck/scripts/query_coin_truck.py --date today
  2. "When will the coin truck come to Sha Tin?"
    • Run: python3 /home/ubuntu/skills/coin-collection-truck/scripts/query_coin_truck.py --district "Sha Tin"
  3. "What is the schedule for the next 3 days?"
    • Run: python3 /home/ubuntu/skills/coin-collection-truck/scripts/query_coin_truck.py --upcoming --days 3
  4. "Where is truck 1 on March 20th?"
    • Run: python3 /home/ubuntu/skills/coin-collection-truck/scripts/query_coin_truck.py --truck 收銀車1號 --date 2026-03-20

Output Formatting Guidelines

When presenting the results to the user, follow these guidelines:

  1. Be Clear and Concise: Present the information clearly, ideally using bullet points or a small table if there are multiple results.
  2. Include Key Details: Always include the Truck Name, District, Address (Chinese and English), and the Schedule (Start and End dates).
  3. Highlight Suspensions: Pay special attention to the ⚠️ warnings in the script output. If a service is suspended on a specific day, you must mention it clearly to the user.
  4. Provide Maps: Include the Google Maps link provided by the script so the user can easily find the location.
  5. Branding (Optional): If appropriate, you can attach the official logo from /home/ubuntu/skills/coin-collection-truck/assets/logo_with chinese.png when delivering the final result.

Example Response Format

Hong Kong Coin Cart Locations for Today (2026-03-20)

🚌 收銀車1號 (Truck 1) — 元朗區 (Yuen Long)

  • Address: 元朗元朗文化康樂大樓對面路旁停車處(近馬田村口)
  • English Address: Lay-by opposite to Yuen Long Leisure and Cultural Building, Yuen Long
  • Schedule: 3月20日 ~ 3月22日
  • 📍 View on Google Maps

🚌 收銀車2號 (Truck 2) — 沙田區 (Sha Tin)

  • Address: 沙田上禾輋路旁停車處(沙田政府合署外)
  • English Address: Lay-by on Sheung Wo Che Road, Sha Tin
  • Schedule: 3月20日 ~ 3月22日
  • 📍 View on Google Maps
安全使用建议
This skill appears to do what it says: it queries a bundled JSON schedule with a local Python script and returns human-friendly results. Before installing, consider: 1) The SKILL.md uses an absolute path (/home/ubuntu/...) and references an assets/logo file that is not in the package — verify and adjust paths after installation so the agent can run the script correctly. 2) Review the bundled JSON if you want to confirm data origin and freshness (it appears to be static schedule entries). 3) Because the skill runs a local script via the shell tool, run it in a sandbox or test environment first if you are cautious; the script currently performs only local parsing and printing and does not make network calls or access secrets. 4) If you expect automatic periodic updates, confirm how data will be refreshed — there is no network/update mechanism in the package.
功能分析
Type: OpenClaw Skill Name: coin-collection-truck Version: 0.1.0 The skill bundle is a legitimate utility for querying the Hong Kong Monetary Authority's coin collection truck schedules. The Python script (query_coin_truck.py) safely processes a local JSON database (coin_collection_truck_hk.json) using standard libraries, and the instructions in SKILL.md are strictly aligned with the stated purpose without any signs of prompt injection or malicious intent.
能力评估
Purpose & Capability
The name/description, README, SKILL.md, bundled JSON, and Python script align: the skill provides queries over a local schedule database. Minor incoherences: SKILL.md instructs running the script at an absolute path (/home/ubuntu/skills/coin-collection-truck/...) whereas the repository layout shows a relative scripts/ path; SKILL.md and README reference an assets/logo file that is not present in the provided file manifest. These are implementation/packaging issues rather than indicators of malicious behavior.
Instruction Scope
Runtime instructions direct the agent to run the included Python script (via the shell tool) and to present results. The script reads only the provided local JSON reference file and formats output (including Google Maps links). It does not attempt to read other system files, environment variables, or contact external endpoints (beyond producing hyperlinks). The only scope oddity is the hardcoded absolute path and a suggestion to attach an assets file at /home/ubuntu/..., which could cause a failing lookup or require the agent to access that path if present; the asset file is not provided.
Install Mechanism
No install specification or external downloads are present (instruction-only skill with bundled files). This is the lower-risk case: nothing is written to disk by an installer and no third-party packages are fetched.
Credentials
The skill does not request any environment variables, credentials, or configuration paths. The Python script operates on a local JSON file included in the bundle; no secrets or unrelated credentials are required.
Persistence & Privilege
The skill is not marked always:true and does not request or modify other skills or global agent settings. It has no elevated persistence or privileged behavior.
如何使用
  1. 确保已安装 OpenClaw(本地或 Docker 部署)
  2. 在对话框中输入安装命令:/install coin-collection-truck
  3. 安装完成后,直接呼叫该 Skill 的名称或使用 /coin-collection-truck 触发
  4. 根据 Skill 的参数说明提供必要输入,即可获得结构化输出
版本历史
v0.1.0
coin-collection-truck 0.1.0 — initial release - Provides a skill to query the Hong Kong Coin Collection Truck (收銀車) locations and schedules. - Includes instructions to use a Python script for searching by date, district, or truck. - Supports natural language queries for truck availability and schedules. - Specifies user response formatting, including key details and Google Maps links. - Highlights how to handle service suspensions and optional use of the official logo.
元数据
Slug coin-collection-truck
版本 0.1.0
许可证 MIT-0
累计安装 0
当前安装数 0
历史版本数 1
常见问题

Coin Collection Truck 香港收銀車 是什么?

Agent skill to search for the Hong Kong Coin Cart (收銀車) locations and schedules. Use this skill when a user asks about the location, schedule, or availabilit... 它是一个面向 Claude Code / OpenClaw 的 AI Agent Skill 插件,目前累计下载 146 次。

如何安装 Coin Collection Truck 香港收銀車?

在 OpenClaw 或 Claude Code 对话框中运行命令「/install coin-collection-truck」即可一键安装,无需额外配置。

Coin Collection Truck 香港收銀車 是免费的吗?

是的,Coin Collection Truck 香港收銀車 完全免费,采用 MIT-0 许可证,可自由下载、安装和使用。

Coin Collection Truck 香港收銀車 支持哪些平台?

Coin Collection Truck 香港收銀車 跨平台运行,可在任意部署了 OpenClaw / Claude Code 的环境中使用(cross-platform)。

谁开发了 Coin Collection Truck 香港收銀車?

由 sodiasm(@sodiasm)开发并维护,当前版本 v0.1.0。

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