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Install in OpenClaw
/install hotel
Description
Local-first hotel decision engine for trip stays, hotel comparison, shortlist creation, booking readiness, and accommodation planning. Use whenever the user...
README (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 |
Usage Guidance
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.
Capability Analysis
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.
Capability Assessment
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.
How to Use
- Make sure OpenClaw is installed (local or Docker)
- Run the install command in chat:
/install hotel - After installation, invoke the skill by name or use
/hotel - Provide required inputs per the skill's parameter spec and get structured output
Version History
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.
Metadata
Frequently Asked Questions
What is Hotel?
Local-first hotel decision engine for trip stays, hotel comparison, shortlist creation, booking readiness, and accommodation planning. Use whenever the user... It is an AI Agent Skill for Claude Code / OpenClaw, with 333 downloads so far.
How do I install Hotel?
Run "/install hotel" in the OpenClaw or Claude Code chat to install it in one step — no extra setup required.
Is Hotel free?
Yes, Hotel is completely free, licensed under MIT-0. You can download, install and use it at no cost.
Which platforms does Hotel support?
Hotel is cross-platform and runs anywhere OpenClaw / Claude Code is available (cross-platform).
Who created Hotel?
It is built and maintained by AGIstack (@agistack); the current version is v1.0.0.
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