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酒店竞对调研openclaw助手

作者 chaoliuzhu65-tech · GitHub ↗ · v1.0.0 · MIT-0
cross-platform ⚠ suspicious
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在 OpenClaw 中安装
/install hotel-competitor-skill
功能描述
酒店竞争分析 SKILL - 自动搜索周边酒店,生成竞争分析报告
使用说明 (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/

安全使用建议
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.
功能分析
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.
能力评估
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.
如何使用
  1. 确保已安装 OpenClaw(本地或 Docker 部署)
  2. 在对话框中输入安装命令:/install hotel-competitor-skill
  3. 安装完成后,直接呼叫该 Skill 的名称或使用 /hotel-competitor-skill 触发
  4. 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
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.
元数据
Slug hotel-competitor-skill
版本 1.0.0
许可证 MIT-0
累计安装 0
当前安装数 0
历史版本数 1
常见问题

酒店竞对调研openclaw助手 是什么?

酒店竞争分析 SKILL - 自动搜索周边酒店,生成竞争分析报告. 它是一个面向 Claude Code / OpenClaw 的 AI Agent Skill 插件,目前累计下载 283 次。

如何安装 酒店竞对调研openclaw助手?

在 OpenClaw 或 Claude Code 对话框中运行命令「/install hotel-competitor-skill」即可一键安装,无需额外配置。

酒店竞对调研openclaw助手 是免费的吗?

是的,酒店竞对调研openclaw助手 完全免费,采用 MIT-0 许可证,可自由下载、安装和使用。

酒店竞对调研openclaw助手 支持哪些平台?

酒店竞对调研openclaw助手 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 酒店竞对调研openclaw助手?

由 chaoliuzhu65-tech(@chaoliuzhu65-tech)开发并维护,当前版本 v1.0.0。

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