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hkroutehkroute 搜索

Agent Skill

hkroute 用于查找、检索和筛选相关信息,适合在 OpenClaw 中需要根据关键词、任务场景或来源线索快速定位候选结果时使用。可结合来源仓库、安装命令和原始 README 继续核验具体用法。安装前建议确认权限范围、维护状态,以及是否会触发联网、命令执行或文件读写。

总安装

3,740

周安装

159

GitHub Stars

公开资料未说明

下载量

1,310
OpenClaw

安装说明

本站只整理中文说明和来源信息,不托管安装包,也不代用户安装。

GitHub

来源数

2

许可证

MIT-0

最后核验

2026-05-01

来源状态

来源可访问

安装方式

通过对话安装

复制提示词发给支持本地命令或 Skills 的 AI 助手,先确认命令和权限,再让它执行。

请帮我安装这个 Agent Skill:hkroute(hkroute 搜索)
来源仓库:https://github.com/7ito/hkroute
安装命令:
openclaw skills install hkroute
安装前请先检查当前环境是否支持对应 CLI,并向我确认将要执行的命令、安装目录、联网范围和文件读写权限;确认后再执行。

命令行安装

复制命令到本机终端执行。该命令会通过 OpenClaw 从第三方来源获取 Skill;本站只展示命令,不托管安装包,也不自动执行。

ClawHubOpenClaw
openclaw skills install hkroute

简介

hkroute 提供香港智能公共交通路线规划与实时巴士到站时间查询服务。

  • 适合需要换乘或多模式出行方案设计的用户,增强行程灵活性。
  • 支持Google Maps集成获取替代路径建议,丰富出行选择维度。
  • 巴士数据来自官方开放接口,但受路况影响存在不确定性;建议预留备选方案。
  • hkroute 属于研究检索类 Skill,可作为该场景下的辅助能力补充。

SKILL.md

name
hk-route
description
Smart public transport routing for Hong Kong with real-time bus ETAs. Queries Google Maps for transit alternatives, enriches bus legs with live arrival times, and ranks routes by effective total time.
triggers
metadata

HK Route — Hong Kong Transit Routing with Real-Time ETAs

What this skill does

Finds the best public transport route in Hong Kong by combining Google Maps directions with real-time bus ETAs. Routes are ranked by effective total time (real-time wait + travel duration), not just schedule data.

Required environment

RequirementDetails
GOOGLE_MAPS_API_KEYGoogle Maps API key with Directions API enabled
node >= 18Runtime for the bundled script

External endpoints

This skill makes network requests to:

EndpointPurposeCredentials
maps.googleapis.com (Google Directions API)Transit route planningGOOGLE_MAPS_API_KEY
HK government & operator APIs via hk-bus-eta (DATA.GOV.HK, KMB, CTB, etc.)Real-time bus arrival timesNone (public APIs)

No other network calls are made. The ETA database is cached locally at ~/.cache/hk-route/etaDb.json (refreshed every 24h).

Source code

The bundled scripts/hk-route.cjs is built from readable TypeScript source at github.com/7ito/hkroute. Build command: esbuild src/index.ts --bundle --platform=node --format=cjs.

How to invoke

node /path/to/skill/scripts/hk-route.cjs \
  --origin "<origin>" \
  --destination "<destination>"
The scripts/hk-route.cjs bundle is self-contained — no npm install needed. Just node >= 18.

Optional flags

  • --departure-time "<ISO 8601 datetime>" — plan a future trip (e.g., --departure-time "2026-03-26T08:00:00+08:00")

Input formats

  • Coordinates: "22.2822,114.1875" (lat,lng — no space after comma)
  • Place name: "Causeway Bay", "Hong Kong Airport", "Stanley Market"
  • Both origin and destination accept either format.

Conversational flows

One-shot (user provides both locations)

User: "How do I get from Causeway Bay to Stanley?" → Run the CLI with --origin "Causeway Bay" --destination "Stanley", format the output.

Multi-turn (e.g., WhatsApp via OpenClaw)

  1. User sends /hkroute
  2. Ask: "Where are you now? Send a location pin or type your location."
  3. User sends a coordinate pin (e.g., 22.2822,114.1875) or text (e.g., "Tin Hau MTR")
  4. Ask: "Where do you want to go?"
  5. User sends destination as text or coordinates.
  6. Run the CLI, format the output.

If the user provides invalid input at any step, ask them to try again with a valid location.

Implicit activation

Activate this skill when the user asks about getting somewhere in Hong Kong by public transport, even without using /hkroute. Look for intent like "how do I get to...", "best way to...", "bus from...", etc., in a Hong Kong context.

Output format

The CLI outputs JSON to stdout. Format it for the user as follows:

WhatsApp / messaging format template

🚌 **Routes from {origin} to {destination}**

⭐ **Route 1 (Recommended)** — {effective_total_min} min
{for each leg:}
  🚶 Walk {duration_seconds/60} min — {instructions}
  🚌 Bus {route_number} from {departure_stop} — **Next bus: {etas[0] formatted as relative time}** (then {etas[1]})
     {num_stops} stops → {arrival_stop}
  🚇 MTR {route_number} from {departure_stop}
     {num_stops} stops → {arrival_stop}
  ⛴️ Ferry ...
  🚊 Light Rail / Tram ...

📍 Route 2 — {effective_total_min} min
{same leg format}

📍 Route 3 — {effective_total_min} min
{same leg format}

Formatting rules

  • Recommended route: Mark with ⭐ and "(Recommended)"
  • Actionable leg: The leg with actionable: true is the one that determines when the user needs to leave. Call it out prominently: "Next bus in X min — leave now!" or "Next bus in X min — you have time."
  • ETAs: Format as relative time ("in 3 min", "in 12 min"). Show up to 2 ETAs per bus leg.
  • Walking legs: Always show with duration. Use 🚶 emoji.
  • Transport emojis: 🚌 bus, 🚇 MTR/subway, ⛴️ ferry, 🚊 light rail/tram, 🚶 walk
  • Bold: Use bold for ETAs, route numbers, and the recommended route label.
  • Unavailable ETAs: If eta_source is "unavailable", show "ETA unavailable (scheduled: {departure_time})" instead of a real-time ETA.
  • Schedule-only: If eta_source is "schedule", show the scheduled departure time without a real-time label.

Error handling

If the CLI returns error: true:

  • NO_TRANSIT_ROUTES: Tell the user no transit routes were found. Suggest trying a different departure time or considering a taxi.
  • GOOGLE_API_ERROR: Tell the user there was an issue fetching routes. Suggest trying again.
  • INVALID_INPUT: Tell the user what was wrong with their input.

适合场景

01

OpenClaw 用户查找和安装 Skill 时

02

用户想查找某类 Agent Skill 时

03

需要根据任务场景推荐可安装能力包时

04

需要对比不同来源的安装命令和来源信息时

能力概览

能力 1

按任务关键词查找相关 Skills

能力 2

展示可复制的安装命令

能力 3

保留来源站点、仓库和原始说明,方便继续核验

能力 4

补充不同宿主或平台的使用分布数据

能力 5

展示第三方安全扫描或审计结果

安装后应在对应宿主中按原始 README 的触发条件使用;具体调用方式请以来源页面和 README 为准。

平台分布

OpenClaw

90.17%
按下载量换算1,181

安全审计

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未展示

ClawScan

通过

Static analysis

可疑

权限和风险

敏感数据

该 Skill 可能接触密钥、Token、环境变量或敏感配置,应进入高风险复核队列,默认不自动发布。

安装前确认

本站仅展示第三方公开信息,不托管安装包,不提供自动安装或运行环境。安装前应自行审查源码、依赖和命令行为。来源安全扫描存在 warning/failed 结果,不能写成本站确认安全。当前只有一个来源,正式发布前建议补源仓库或其他目录站核验。

来源信息

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