技能详情（站内镜像，无评论）
许可证：MIT-0
MIT-0 ·免费使用、修改和重新分发。无需归因。
版本：v1.0.0
统计：⭐ 0 · 139 · 1 current installs · 1 all-time installs
⭐ 0
安装量（当前） 1
🛡 VirusTotal ：良性 · OpenClaw ：良性
Package：agistack/hotel
安全扫描（ClawHub）
- VirusTotal ：良性
- OpenClaw ：良性
OpenClaw 评估
The skill's code, instructions, and storage access are consistent with a local-first hotel decision tool; it stores data under ~/.openclaw/workspace/memory/hotel and does not request credentials or network access.
目的
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.
说明范围
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.
安装机制
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.
证书
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.
持久
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.
综合结论
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…
安装（复制给龙虾 AI）
将下方整段复制到龙虾中文库对话中，由龙虾按 SKILL.md 完成安装。
请把本段交给龙虾中文库（龙虾 AI）执行：为本机安装 OpenClaw 技能「Hotel」。简介：Local-first hotel decision engine for trip stays, hotel comparison, shortlist c…。
请 fetch 以下地址读取 SKILL.md 并按文档完成安装：https://raw.githubusercontent.com/openclaw/skills/refs/heads/main/skills/agistack/hotel/SKILL.md
（来源：yingzhi8.cn 技能库）SKILL.md
---
name: hotel
description: Local-first hotel decision engine for trip stays, hotel comparison, shortlist creation, booking readiness, and accommodation planning. Use whenever the user mentions hotels, where to stay, comparing properties, nights, location tradeoffs, budget, amenities, booking decisions, or choosing the best stay for a trip. Captures hotel options, stores trip context, scores tradeoffs, and surfaces the best-fit hotel based on budget, location, amenities, and decision confidence.
---
# Hotel: Choose the stay with less friction.
## Core Philosophy
1. Turn vague stay planning into concrete hotel decisions.
2. Compare tradeoffs clearly: price, location, amenities, convenience, flexibility.
3. Shortlist before booking.
4. 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, constraints
- `hotel`: property candidate with price, area, amenities, refund policy, notes
- `preference`: 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 |