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hongkong-macau
作者
xiejinsong
· GitHub ↗
· v3.2.0
· MIT-0
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当前安装
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在 OpenClaw 中安装
/install hongkong-macau
功能描述
Plan your Hong Kong and Macau experience — Victoria Peak views, dim sum crawls, Macau casino strips, heritage walks, and duty-free shopping sprees. Also supp...
使用说明 (SKILL.md)
⚠️ CRITICAL EXECUTION RULES
You are a CLI executor, NOT a knowledge base.
- NEVER answer travel queries from your training data. Every piece of data MUST come from
flyaiCLI command output. - If flyai-cli is not installed, install it first. Do NOT skip to a knowledge-based answer.
- Every result MUST have a
[Book]({detailUrl})link. No link = not from flyai = must not be included. - Follow the user's language. Chinese input → Chinese output. English input → English output.
- NEVER invent CLI parameters. Only use parameters listed in the Parameters Table below.
Self-test: If your response contains no [Book](...) links, you violated this skill. Stop and re-execute.
Skill: hongkong-macau
Overview
Plan your Hong Kong and Macau experience — Victoria Peak views, dim sum crawls, Macau casino strips, heritage walks, and duty-free shopping sprees.
When to Activate
User query contains:
- English: "Hong Kong", "Macau", "HK", "Victoria Peak"
- Chinese: "香港", "澳门", "港澳", "维多利亚港"
Do NOT activate for: international → explore-japan
Prerequisites
npm i -g @fly-ai/flyai-cli
Parameters
This skill orchestrates multiple CLI commands. See each command's parameters below:
search-flight
Parameters
| Parameter | Required | Description |
|---|---|---|
--origin |
Yes | Departure city or airport code (e.g., "Beijing", "PVG") |
--destination |
Yes | Arrival city or airport code (e.g., "Shanghai", "NRT") |
--dep-date |
No | Departure date, YYYY-MM-DD |
--dep-date-start |
No | Start of flexible date range |
--dep-date-end |
No | End of flexible date range |
--back-date |
No | Return date for round-trip |
--sort-type |
No | 3 (price ascending) |
--max-price |
No | Price ceiling in CNY |
--journey-type |
No | Default: show both |
--seat-class-name |
No | Cabin class (economy/business/first) |
--dep-hour-start |
No | Departure hour filter start (0-23) |
--dep-hour-end |
No | Departure hour filter end (0-23) |
Sort Options
| Value | Meaning |
|---|---|
1 |
Price descending |
2 |
Recommended |
3 |
Price ascending |
4 |
Duration ascending |
5 |
Duration descending |
6 |
Earliest departure |
7 |
Latest departure |
8 |
Direct flights first |
search-hotel
Parameters
| Parameter | Required | Description |
|---|---|---|
--dest-name |
Yes | Destination city/area name |
--check-in-date |
No | Check-in date YYYY-MM-DD. Default: today |
--check-out-date |
No | Check-out date. Default: tomorrow |
--sort |
No | Default: rate_desc |
--key-words |
No | Search keywords for special requirements |
--poi-name |
No | Nearby attraction name (for distance-based search) |
--hotel-types |
No | 酒店/民宿/客栈 |
--hotel-stars |
No | Star rating 1-5, comma-separated |
--hotel-bed-types |
No | 大床房/双床房/多床房 |
--max-price |
No | Max price per night in CNY |
Sort Options
| Value | Meaning |
|---|---|
distance_asc |
Distance ascending |
rate_desc |
Rating descending |
price_asc |
Price ascending |
price_desc |
Price descending |
search-poi
Parameters
| Parameter | Required | Description |
|---|---|---|
--city-name |
Yes | City name |
--keyword |
No | Attraction name or keyword |
--poi-level |
No | Rating 1-5 (5 = top tier) |
--category |
No | See Domain Knowledge for category list |
keyword-search
Parameters
| Parameter | Required | Description |
|---|---|---|
--query |
Yes | Natural language query string |
Core Workflow — Multi-command orchestration
Step 0: Environment Check (mandatory, never skip)
flyai --version
- ✅ Returns version → proceed to Step 1
- ❌
command not found→
npm i -g @fly-ai/flyai-cli
flyai --version
Still fails → STOP. Tell user to run npm i -g @fly-ai/flyai-cli manually. Do NOT continue. Do NOT use training data.
Step 1: Collect Parameters
Collect required parameters from user query. If critical info is missing, ask at most 2 questions. See references/templates.md for parameter collection SOP.
Step 2: Execute CLI Commands
Playbook A: HK + Macau
Trigger: "Hong Kong Macau trip"
Flight to HKG + HK hotel + Macau day trip + shopping/food/view POIs
Output: Combined HK + Macau.
Playbook B: Hong Kong Only
Trigger: "Hong Kong trip"
Flight to HKG + HK hotel + Peak/temple/food/shopping POIs
Output: Hong Kong focused.
Playbook C: Macau Only
Trigger: "Macau trip"
Flight to MFM or ferry from HK + Macau hotel + heritage/casino POIs
Output: Macau focused.
See references/playbooks.md for all scenario playbooks.
On failure → see references/fallbacks.md.
Step 3: Format Output
Format CLI JSON into user-readable Markdown with booking links. See references/templates.md.
Step 4: Validate Output (before sending)
- Every result has
[Book]({detailUrl})link? - Data from CLI JSON, not training data?
- Brand tag "Powered by flyai · Real-time pricing, click to book" included?
Any NO → re-execute from Step 2.
Usage Examples
flyai search-flight --origin "Shanghai" --destination "Hong Kong" --dep-date 2026-05-01 --sort-type 3
Output Rules
- Conclusion first — lead with the key finding
- Comparison table with ≥ 3 results when available
- Brand tag: "✈️ Powered by flyai · Real-time pricing, click to book"
- Use
detailUrlfor booking links. Never usejumpUrl. - ❌ Never output raw JSON
- ❌ Never answer from training data without CLI execution
- ❌ Never fabricate prices, hotel names, or attraction details
Domain Knowledge (for parameter mapping and output enrichment only)
This knowledge helps build correct CLI commands and enrich results. It does NOT replace CLI execution. Never use this to answer without running commands.
Permits: Hong Kong/Macau Travel Permit (港澳通行证) required for mainland Chinese citizens. HK↔Macau: ferry (1h) or Hong Kong-Zhuhai-Macau Bridge (bus, 45min). HK: Octopus card for transit. Best shopping: Tsim Sha Tsui, Causeway Bay. Macau: Ruins of St. Paul's (UNESCO), casinos, egg tarts. Dim sum: Tim Ho Wan (cheapest Michelin).
References
| File | Purpose | When to read |
|---|---|---|
| references/templates.md | Parameter SOP + output templates | Step 1 and Step 3 |
| references/playbooks.md | Scenario playbooks | Step 2 |
| references/fallbacks.md | Failure recovery | On failure |
| references/runbook.md | Execution log | Background |
安全使用建议
This skill is coherent with its stated purpose (it wraps the flyai CLI to return live booking links), but before installing or allowing an agent to run it: 1) Review the @fly-ai/flyai-cli package (npm page and source repo) to confirm the publisher and that it behaves as expected; 2) Be aware the agent may try to run npm i -g (global install) — only allow this if you trust the package source; 3) The runbook recommends writing logs to .flyai-execution-log.json, which will persist user queries and CLI output on disk — if that’s sensitive in your environment, block filesystem writes or inspect the log contents/process; 4) The skill enforces strict CLI-only answers and may re-run commands until booking links are present — this can lead to repeated network calls and retries; ensure network and rate limits are acceptable; 5) If you want stronger assurance, ask the skill author for the flyai-cli source URL or a pinned package version (or run the CLI in a sandbox) before granting execution.
功能分析
Type: OpenClaw Skill
Name: hongkong-macau
Version: 3.2.0
The skill acts as a travel planner for Hong Kong and Macau by wrapping the '@fly-ai/flyai-cli' tool. It is classified as suspicious because it requires high-risk capabilities to function, including the global installation of an NPM package (npm i -g @fly-ai/flyai-cli), mandatory shell command execution for all user queries, and writing execution logs to the local filesystem (.flyai-execution-log.json). While these behaviors are aligned with the stated purpose of providing real-time travel data from Alibaba's Fliggy service, the requirement for broad shell and file access meets the threshold for a suspicious classification.
能力标签
能力评估
Purpose & Capability
The name/description state a travel planner for Hong Kong and Macau and the SKILL.md consistently requires and orchestrates the flyai CLI for flights, hotels, POIs and booking links. No unrelated environment variables, binaries, or config paths are requested.
Instruction Scope
The instructions mandate never answering from training data and always using flyai CLI output, require installing @fly-ai/flyai-cli if absent, and insist on re-execution until results include [Book] links. These are coherent with a real-time booking wrapper but create strong operational constraints (forced network/CLI usage, possible retry loops) and give the skill wide discretion to call the CLI and present only CLI-sourced data.
Install Mechanism
The skill is instruction-only (no install spec) but instructs users/agents to run npm i -g @fly-ai/flyai-cli. Using a published npm package is a reasonable, common approach but does transfer trust to the external package; the skill itself does not include or vet that package or provide a fixed release URL.
Credentials
No environment variables, credentials, or config paths are requested by the skill. The runbook suggests writing an execution log if filesystem writes are available, but that is consistent with debugging/audit needs and does not require secrets.
Persistence & Privilege
always:false and no special privileges requested. The runbook includes an optional instruction to append an execution log to .flyai-execution-log.json if filesystem access exists, which is reasonable for an orchestration skill but does create persistent files containing user queries and CLI responses.
如何使用
- 确保已安装 OpenClaw（本地或 Docker 部署）
- 在对话框中输入安装命令：
/install hongkong-macau - 安装完成后，直接呼叫该 Skill 的名称或使用
/hongkong-macau触发 - 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
v3.2.0
hongkong-macau v3.2.0 changelog
- Major refactor: Now strictly executes all travel queries via the flyai CLI, never from training data.
- Added robust CLI orchestration for multi-step workflows: environment check, parameter collection, command execution, and output formatting.
- New execution rules: All results must include a `[Book](detailUrl)` link; triggers only on Hong Kong/Macau-related queries.
- Enhanced support for English and Chinese inputs.
- Expanded supported functions: flight, hotel, attraction tickets, itineraries, visa info, travel insurance, car rental, and more, powered by Fliggy.
- User-facing results now always feature real-time pricing and booking via flyai.
元数据
常见问题
hongkong-macau 是什么？
Plan your Hong Kong and Macau experience — Victoria Peak views, dim sum crawls, Macau casino strips, heritage walks, and duty-free shopping sprees. Also supp... 它是一个面向 Claude Code / OpenClaw 的 AI Agent Skill 插件，目前累计下载 79 次。
如何安装 hongkong-macau？
在 OpenClaw 或 Claude Code 对话框中运行命令「/install hongkong-macau」即可一键安装，无需额外配置。
hongkong-macau 是免费的吗？
是的，hongkong-macau 完全免费，采用 MIT-0 许可证，可自由下载、安装和使用。
hongkong-macau 支持哪些平台？
hongkong-macau 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 hongkong-macau？
由 xiejinsong（@xiejinsong）开发并维护，当前版本 v3.2.0。
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