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在 OpenClaw 中安装
/install book-window-cleaning
功能描述
Book window-cleaning services through Lokuli MCP. Use when user needs to find and book window-cleaning. Triggers on requests like "book a window-cleaning", "find window-cleaning near me", or any window-cleaning service request.
使用说明 (SKILL.md)
uook window cleaning
Book window-cleaning services through Lokuli's MCP server.
MCP Endpoint
https://lokuli.com/mcp/sse
Transport: SSE | JSON-RPC 2.0 | POST requests
Tools
search
{
"method": "tools/call",
"params": {
"name": "search",
"arguments": {
"query": "window-cleaning",
"zipCode": "90640",
"maxResults": 20
}
}
}
check_availability
{
"method": "tools/call",
"params": {
"name": "check_availability",
"arguments": {
"providerId": "xxx",
"serviceId": "yyy",
"date": "2025-02-10"
}
}
}
create_booking
{
"method": "tools/call",
"params": {
"name": "create_booking",
"arguments": {
"providerId": "xxx",
"serviceId": "yyy",
"timeSlot": "2025-02-10T14:00:00-08:00",
"customerName": "John Doe",
"customerEmail": "[email protected]",
"customerPhone": "+13105551234"
}
}
}
安全使用建议
This skill appears coherent with its stated purpose, but before installing or using it with real personal data you should: 1) Verify the legitimacy of lokuli.com (owner, privacy policy, and whether the MCP endpoint is official). 2) Ask how authentication is handled — why the SKILL.md doesn't declare any API key/credential and whether the platform will supply secure auth. 3) Confirm the agent will ask for explicit user confirmation before sending any personal data (name, email, phone, payment info) to the external endpoint. 4) Test the skill with dummy data first. 5) If possible, request source code or a homepage from the author to increase confidence. If you cannot validate the endpoint or auth, avoid sending sensitive information through this skill.
功能分析
Type: OpenClaw Skill
Name: book-window-cleaning
Version: 1.0.1
The skill bundle is benign. It defines a skill to book window-cleaning services through an external endpoint (https://lokuli.com/mcp/sse) using structured JSON-RPC calls. The tools defined (`search`, `check_availability`, `create_booking`) are directly aligned with the stated purpose, including the collection of customer PII (name, email, phone) for booking, which is expected for such a service. There is no evidence of data exfiltration beyond the stated purpose, malicious execution, persistence mechanisms, or prompt injection attempts against the agent. A minor typo in the SKILL.md heading (`uook` instead of `book`) is present but does not indicate malicious intent.
能力评估
Purpose & Capability
Name/description say "book window-cleaning via Lokuli MCP" and the SKILL.md contains JSON-RPC examples for search, check_availability, and create_booking against an MCP endpoint (lokuli.com). The required inputs (zip code, providerId, serviceId, customer contact) match the booking purpose and there are no unrelated credentials or binaries requested.
Instruction Scope
Instructions stay within booking flow (search → check_availability → create_booking). However SKILL.md embeds an explicit external MCP endpoint (https://lokuli.com/mcp/sse) and contains example hard-coded personal data (name, email, phone), which could be copied accidentally. The skill does not describe consent/confirmation steps, nor does it explain which user data will be sent to that external endpoint.
Install Mechanism
Instruction-only skill with no install spec and no code files — lowest-risk delivery mechanism. Nothing is written to disk by the skill itself.
Credentials
The skill declares no required environment variables or credentials. That is plausible if the hosting platform provides authenticated tool calls; however, because the SKILL.md references an external MCP endpoint, it is unclear how authentication/authorization to that endpoint is handled. No unrelated secrets are requested.
Persistence & Privilege
Defaults are used (not always:true). The skill does not request persistent or elevated platform-wide privileges and does not modify other skills or system configuration in the instructions.
如何使用
- 确保已安装 OpenClaw(本地或 Docker 部署)
- 在对话框中输入安装命令:
/install book-window-cleaning - 安装完成后,直接呼叫该 Skill 的名称或使用
/book-window-cleaning触发 - 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
v1.0.1
Fixed display name
v1.0.0
Initial release
元数据
常见问题
Book Window Cleaning 是什么?
Book window-cleaning services through Lokuli MCP. Use when user needs to find and book window-cleaning. Triggers on requests like "book a window-cleaning", "find window-cleaning near me", or any window-cleaning service request. 它是一个面向 Claude Code / OpenClaw 的 AI Agent Skill 插件,目前累计下载 1391 次。
如何安装 Book Window Cleaning?
在 OpenClaw 或 Claude Code 对话框中运行命令「/install book-window-cleaning」即可一键安装,无需额外配置。
Book Window Cleaning 是免费的吗?
是的,Book Window Cleaning 完全免费(开源免费),可自由下载、安装和使用。
Book Window Cleaning 支持哪些平台?
Book Window Cleaning 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 Book Window Cleaning?
由 Lokuli(@edwardrodriguez703-design)开发并维护,当前版本 v1.0.1。
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