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在 OpenClaw 中安装
/install hotel
功能描述
Local-first hotel decision engine for trip stays, hotel comparison, shortlist creation, booking readiness, and accommodation planning. Use whenever the user...
使用说明 (SKILL.md)
Hotel: Choose the stay with less friction.
Core Philosophy
- Turn vague stay planning into concrete hotel decisions.
- Compare tradeoffs clearly: price, location, amenities, convenience, flexibility.
- Shortlist before booking.
- Reduce booking regret by making decision criteria explicit.
Runtime Requirements
- Python 3 must be available as
python3 - No external packages required
Storage
All data is stored locally only under:
~/.openclaw/workspace/memory/hotel/trips.json~/.openclaw/workspace/memory/hotel/hotels.json~/.openclaw/workspace/memory/hotel/preferences.json
No external sync. No booking APIs. No credentials required.
Core Objects
trip: destination, dates, budget, purpose, constraintshotel: property candidate with price, area, amenities, refund policy, notespreference: reusable user preferences like breakfast, walkability, quiet rooms, flexible cancellation
Key Workflows
- Create Trip:
add_trip.py --destination "Tokyo" --check_in 2026-04-10 --check_out 2026-04-13 --budget_total 450 - Add Hotel:
add_hotel.py --trip_id TRP-XXXX --name "Hotel A" --nightly_price 120 --area "Shinjuku" --amenities wifi,breakfast - Compare:
compare_hotels.py --trip_id TRP-XXXX - Shortlist:
shortlist.py --trip_id TRP-XXXX --top 3 - Booking Check:
book_ready.py --hotel_id HOT-XXXX - Save Preference:
save_preference.py --key breakfast --value required
Scripts
| Script | Purpose |
|---|---|
init_storage.py |
Initialize local storage |
add_trip.py |
Create a new trip |
add_hotel.py |
Add a hotel candidate |
compare_hotels.py |
Compare hotel options for a trip |
shortlist.py |
Surface best-fit hotels |
book_ready.py |
Check if a hotel is ready to book |
save_preference.py |
Save reusable hotel preferences |
安全使用建议
This skill appears to be what it says: a local-only hotel decision helper implemented with small Python scripts that read/write JSON under ~/.openclaw/workspace/memory/hotel. Before using, confirm you have python3 on PATH, review the bundled scripts if you want to verify behavior, and run scripts (init_storage.py) in a safe environment. Because it writes files into your home directory, back up any important data and inspect the directory after first run. There is no network activity or credential access in the code, so risk is limited to local file writes.
功能分析
Type: OpenClaw Skill
Name: hotel
Version: 1.0.0
The skill is a local-first hotel decision engine that manages trip and hotel data using local JSON storage in the user's home directory (~/.openclaw/workspace/memory/hotel/). The implementation is straightforward, using standard Python libraries for data processing and scoring without any network calls, external dependencies, or evidence of malicious intent or prompt injection.
能力评估
Purpose & Capability
Name/description promise (local-first hotel decision engine) matches the files and behavior: scripts implement trip/hotel creation, comparison, shortlisting and local storage. No unexpected cloud or unrelated capabilities are requested.
Instruction Scope
SKILL.md instructs running bundled Python scripts and specifies local storage paths. The runtime steps and scripts only read/write the declared JSON files under ~/.openclaw/workspace/memory/hotel and do not reference other system paths, credentials, or external endpoints.
Install Mechanism
There is no install spec (instruction-only). The bundle includes Python scripts but does not attempt to download or install external code or packages. SKILL.md correctly states no external packages are required and the code uses only the Python standard library.
Credentials
No environment variables, credentials, or config paths are required. The only environment dependency is python3 on PATH and use of the user's HOME via os.path.expanduser to store local JSON files — consistent with the stated local-first design.
Persistence & Privilege
The skill is not always-enabled and does not modify other skills or global agent settings. Its persistence is limited to creating/maintaining its own folder under the user's home directory.
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 hotel - 安装完成后，直接呼叫该 Skill 的名称或使用
/hotel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
v1.0.0
[email protected]: Choose the stay with less friction. Rebuilt hotel as a local-first decision engine for comparing properties, shortlisting the best-fit stay, and reducing booking regret before purchase.
元数据
常见问题
Hotel 是什么？
Local-first hotel decision engine for trip stays, hotel comparison, shortlist creation, booking readiness, and accommodation planning. Use whenever the user... 它是一个面向 Claude Code / OpenClaw 的 AI Agent Skill 插件，目前累计下载 333 次。
如何安装 Hotel？
在 OpenClaw 或 Claude Code 对话框中运行命令「/install hotel」即可一键安装，无需额外配置。
Hotel 是免费的吗？
是的，Hotel 完全免费，采用 MIT-0 许可证，可自由下载、安装和使用。
Hotel 支持哪些平台？
Hotel 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 Hotel？
由 AGIstack（@agistack）开发并维护，当前版本 v1.0.0。
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