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smart-hotel-search
by
sgw153759-oss
· GitHub ↗
· v1.0.0
· MIT-0
87
Downloads
0
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0
Active Installs
1
Versions
Install in OpenClaw
/install smart-hotel-search
Description
基于小红书真实测评挖掘非标准酒店需求，结合飞猪实时预订信息，提供个性化场景化酒店推荐。
Usage Guidance
This skill appears to do what it says: it searches Xiaohongshu for user reviews (via opencli) and then looks up booking details on Flyai. Before installing or following the install steps, do the following: 1) Verify the provenance of opencli and the Chrome extension (confirm GitHub repo and release integrity). 2) Be aware that opencli's extension/daemon uses your local Chrome login — avoid using it with a browser profile that has sensitive accounts, or use a separate profile. 3) Verify the npm packages (@jackwener/opencli and @fly-ai/flyai-cli) on npm and check recent maintainer activity and reviews. 4) Treat any request to set a FLYAI_API_KEY as you would any API key (use least-privilege key, rotate if needed). 5) Because the skill source/homepage is unknown, consider testing in an isolated environment (separate browser profile or VM) first. If you can't verify the third-party tools' legitimacy, don't install the extension or run opencli setup with your primary browser.
Capability Analysis
Type: OpenClaw Skill
Name: smart-hotel-search
Version: 1.0.0
The skill bundle requires the AI agent to perform high-risk system-level operations, including the global installation of npm packages (@jackwener/opencli and @fly-ai/flyai-cli) and the configuration of a browser-automation tool (opencli) that relies on a Chrome extension. While these actions are aligned with the stated purpose of searching hotel reviews on Xiaohongshu and booking via FlyAI, the automated installation of third-party software and the granting of browser control capabilities present a significant security risk without being explicitly malicious. These instructions are primarily located in SKILL.md and references/installation.md.
Capability Assessment
Purpose & Capability
The skill claims to mine Xiaohongshu content and query Flyai for booking info; the SKILL.md exclusively instructs using opencli (to read Xiaohongshu via the user's Chrome session) and flyai (to query booking data). There are no unrelated environment variables, binaries, or config paths requested, so the requested capabilities align with the stated purpose.
Instruction Scope
Instructions explicitly require running opencli xiaohongshu search and flyai search-hotel and to have Chrome logged into Xiaohongshu. That scope matches the purpose, but opencli works by connecting to a browser extension and the user's logged-in browser session — this grants the tooling access to browser state/cookies. The skill's instructions do not ask to read other local files or unrelated credentials, but the reliance on a browser extension is a privacy/security consideration.
Install Mechanism
The skill is instruction-only (no install spec embedded). It references installing two npm CLIs and a Chrome extension from a GitHub releases page. Installing npm packages globally and a browser extension is a common approach here, but installing an extension from releases and running opencli setup involves giving the tool local browser access — verify the extension release authenticity and the npm packages' provenance before installing.
Credentials
The skill declares no required environment variables; the installation docs mention an optional FLYAI_API_KEY to improve Flyai results, which is proportionate. There are no unrelated credentials requested. Note: opencli's setup may create local tokens or require connecting to an extension/daemon (not declared as env vars), so check what local files/config are written during setup.
Persistence & Privilege
The skill does not request always:true and makes no claims about modifying other skills or system-wide settings. Autonomous invocation is allowed (platform default) but not combined with excessive privileges in this package.
How to Use
- Make sure OpenClaw is installed (local or Docker)
- Run the install command in chat:
/install smart-hotel-search - After installation, invoke the skill by name or use
/smart-hotel-search - Provide required inputs per the skill's parameter spec and get structured output
Version History
v1.0.0
Smart Hotel Search 1.0.0 - Initial Release
- Enables intelligent hotel recommendations based on non-standard, scenario-based, or user-voiced requirements (e.g., "pet-friendly", "hotel for elderly", "quiet rooms").
- Integrates Xiaohongshu content search (via opencli) for real user reviews and experience discovery.
- Connects recommended hotels to Fliggy (via flyai) for real-time pricing and booking.
- Provides a workflow for extracting hotel names from content platforms, filtering, and finding booking details.
- Includes troubleshooting for cases where content/recommendations are unavailable or too ambiguous.
Metadata
Frequently Asked Questions
What is smart-hotel-search?
基于小红书真实测评挖掘非标准酒店需求，结合飞猪实时预订信息，提供个性化场景化酒店推荐。 It is an AI Agent Skill for Claude Code / OpenClaw, with 87 downloads so far.
How do I install smart-hotel-search?
Run "/install smart-hotel-search" in the OpenClaw or Claude Code chat to install it in one step — no extra setup required.
Is smart-hotel-search free?
Yes, smart-hotel-search is completely free, licensed under MIT-0. You can download, install and use it at no cost.
Which platforms does smart-hotel-search support?
smart-hotel-search is cross-platform and runs anywhere OpenClaw / Claude Code is available (cross-platform).
Who created smart-hotel-search?
It is built and maintained by sgw153759-oss (@sgw153759-oss); the current version is v1.0.0.
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