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酒店竞对调研openclaw助手
by
chaoliuzhu65-tech
· GitHub ↗
· v1.0.0
· MIT-0
283
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Install in OpenClaw
/install hotel-competitor-skill
Description
酒店竞争分析 SKILL - 自动搜索周边酒店，生成竞争分析报告
README (SKILL.md)
酒店竞争分析 SKILL
使用方法
# 运行分析
python3 scripts/hotel_analysis.py --hotel "酒店名称"
功能
- 自动搜索周边酒店
- 生成竞争分析报告
- 三阶能力体系
配置
需要高德 API Key：https://lbs.amap.com/
Usage Guidance
This package is the "fallback" offline version: it generates reports from manually entered data or Excel and explicitly does NOT implement the advertised automatic nearby-hotel search. The documentation mentions a Gaode (高德) API Key and an upgrade script that are absent from the bundle. Before using or providing any API keys, verify the upgrade/setup scripts and any network-calling code that would be introduced. If you expect automatic searching, request the full implementation or examine the missing setup_wizard.sh and any code that would call external APIs. Running the included script is low-risk for secrets (it operates locally), but treat any future upgrade that requires an API key as potentially risky until you inspect what it will install and where it sends data. Consider running in a sandbox/isolated environment and review network activity if you proceed.
Capability Analysis
Type: OpenClaw Skill
Name: hotel-competitor-skill
Version: 1.0.0
The skill bundle provides a legitimate tool for hotel competition analysis. The primary script, `scripts/hotel_analysis.py`, processes hotel data from CLI arguments or Excel files to generate a Markdown report. No malicious behaviors such as data exfiltration, unauthorized execution, or prompt injection were found; a reference to a missing setup script in the report output appears to be a placeholder for future functionality rather than a malicious lure.
Capability Assessment
Purpose & Capability
The skill description and README advertise "自动搜索周边酒店" (automatic nearby-hotel search) and list Gaode (高德) API Key as required, but the included script (BasicHotelAnalysis) is an offline/fallback implementation that requires manual input or Excel import. The --auto-fetch flag is a stub that simply prints a message and does not perform network queries. An upgrade script referenced (./scripts/setup_wizard.sh) is mentioned in the report but is not included. This is a functional mismatch between claimed capability and actual code.
Instruction Scope
SKILL.md instructs running python3 scripts/hotel_analysis.py and states an Amap API Key is needed, but there is no mechanism shown for supplying that key (no env var, no config path). The runtime instructions are limited and do not direct the agent to read unrelated system files or exfiltrate data, but they are misleading about automatic fetching and an absent setup_wizard.sh. The script's auto-fetch path explicitly skips network activity, so current runtime behavior is non-networking despite the docs implying otherwise.
Install Mechanism
No install spec is provided (instruction-only skill with code file). That lowers install-time risk; nothing is downloaded or written by an installer. requirements.txt lists typical Python libs but no automatic install is enforced by the skill bundle itself.
Credentials
The skill bundle does not declare or require any environment variables or credentials, yet SKILL.md mentions a Gaode (高德) API Key as needed for the advanced/standard features. Because the included code does not consume such a key, there is a documentation vs. implementation mismatch. If later versions or the missing upgrade script request an API key, providing it without inspecting the upgrade code would be risky.
Persistence & Privilege
The skill does not request persistent/always-on privileges (always:false), does not modify other skill configurations, and contains no install mechanism that would alter system-wide settings. Autonomous model invocation is allowed (platform default) but not combined with other concerning allowances.
How to Use
- Make sure OpenClaw is installed (local or Docker)
- Run the install command in chat:
/install hotel-competitor-skill - After installation, invoke the skill by name or use
/hotel-competitor-skill - Provide required inputs per the skill's parameter spec and get structured output
Version History
v1.0.0
hotel-competitor-skill 1.0.0
- Initial release of hotel competitor analysis skill.
- Provides three-tier analysis: basic, standard, and advanced.
- Automatically searches and analyzes nearby hotels (configurable 1–10 km).
- Generates competitor reports with ratings, price analysis, and market structure.
- Supports map visualization and periodic monitoring/alerts.
- Suitable for single hotels, regional management, and hotel groups.
Metadata
Frequently Asked Questions
What is 酒店竞对调研openclaw助手?
酒店竞争分析 SKILL - 自动搜索周边酒店，生成竞争分析报告. It is an AI Agent Skill for Claude Code / OpenClaw, with 283 downloads so far.
How do I install 酒店竞对调研openclaw助手?
Run "/install hotel-competitor-skill" in the OpenClaw or Claude Code chat to install it in one step — no extra setup required.
Is 酒店竞对调研openclaw助手 free?
Yes, 酒店竞对调研openclaw助手 is completely free, licensed under MIT-0. You can download, install and use it at no cost.
Which platforms does 酒店竞对调研openclaw助手 support?
酒店竞对调研openclaw助手 is cross-platform and runs anywhere OpenClaw / Claude Code is available (cross-platform).
Who created 酒店竞对调研openclaw助手?
It is built and maintained by chaoliuzhu65-tech (@chaoliuzhu65-tech); the current version is v1.0.0.
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