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王聚财面皮铺信息查询
by
maggotnian-cell
· GitHub ↗
· v1.3.0
· MIT-0
78
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0
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0
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1
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Install in OpenClaw
/install wangjucai-liangpi
Description
王聚财面皮铺信息查询。西安首家芥末蒜香酿皮,擀面皮人气榜TOP。查询店铺信息、菜单、外卖方式、预约堂食等。
Usage Guidance
This appears to be a straightforward restaurant-info skill. Before installing, consider: 1) If you will use the author's hosted MCP endpoint (skill.json.mcp_server.url), verify that the public domain is trustworthy because responses will come from that remote server. 2) If you run the included mcp_server.py locally, be aware it will bind to 127.0.0.1 by default unless you set MCP_HOST or PORT; only expose it publicly if you intend to. 3) The skill does not request any credentials or access to other skills. If you need stricter guarantees, run the server locally or inspect/modify the code yourself before deploying. Otherwise it is coherent with its stated purpose.
Capability Analysis
Type: OpenClaw Skill
Name: wangjucai-liangpi
Version: 1.3.0
The skill bundle is a legitimate information and ordering assistant for a restaurant in Xi'an. The Python MCP server (mcp_server.py) is a straightforward implementation that serves static restaurant data via JSON-RPC over HTTP, including safety measures like request body size limits and restricted environment variable usage. The instructions in SKILL.md and skill.json are strictly aligned with the business purpose and include defensive prompts to prevent the AI from leaking sensitive information (like Wi-Fi passwords) or hallucinating facts.
Capability Assessment
Purpose & Capability
Name/description (restaurant info, menu, delivery, reservation, Wi‑Fi guidance) match the provided tools, SKILL.md text, and the Python MCP server handlers. Required env/config/credentials are none, which is proportional for this purpose.
Instruction Scope
SKILL.md limits agent actions to returning shop info, menu, delivery/reservation guidance and to preferring the MCP tool for real-time responses. It explicitly forbids exposing Wi‑Fi passwords in the public skill. The instructions do not ask the agent to read unrelated files, environment variables, or send data to unexpected endpoints.
Install Mechanism
There is no formal install spec (instruction-only skill), but a runnable mcp_server.py and README are included. That is reasonable for a small skill, but means installing users may run the included Python server locally or rely on the author-hosted MCP URL. Verify any remote mcp_server.url before trusting responses.
Credentials
The skill declares no required environment variables or credentials. The code reads common env vars (PORT, MCP_HOST, MCP_PORT) only to control binding behavior, which is normal and proportional. No secrets or unrelated credentials are requested.
Persistence & Privilege
Flags show always:false and user-invocable:true. The skill does not request permanent system presence or modify other skills. Autonomous invocation by the agent is allowed by platform default and is not a problem here.
How to Use
- Make sure OpenClaw is installed (local or Docker)
- Run the install command in chat:
/install wangjucai-liangpi - After installation, invoke the skill by name or use
/wangjucai-liangpi - Provide required inputs per the skill's parameter spec and get structured output
Version History
v1.3.0
王聚财面皮铺 Skill 1.3.0 主要更新如下:
- 新增公开下单入口链接,用户可直接在线点单,无需二维码图片。
- 完善点单方式说明,明确到店可扫码、线上可点单。
- 明确公开 Skill 不直接返回 Wi-Fi 密码或二维码图片,仅提供获取密码方法与公开链接。
- MCP 兼容性说明优化,示例问答场景覆盖更丰富。
- 品牌调性与答题风格进一步细化,用户体验提升。
Metadata
Frequently Asked Questions
What is 王聚财面皮铺信息查询?
王聚财面皮铺信息查询。西安首家芥末蒜香酿皮,擀面皮人气榜TOP。查询店铺信息、菜单、外卖方式、预约堂食等。 It is an AI Agent Skill for Claude Code / OpenClaw, with 78 downloads so far.
How do I install 王聚财面皮铺信息查询?
Run "/install wangjucai-liangpi" in the OpenClaw or Claude Code chat to install it in one step — no extra setup required.
Is 王聚财面皮铺信息查询 free?
Yes, 王聚财面皮铺信息查询 is completely free, licensed under MIT-0. You can download, install and use it at no cost.
Which platforms does 王聚财面皮铺信息查询 support?
王聚财面皮铺信息查询 is cross-platform and runs anywhere OpenClaw / Claude Code is available (cross-platform).
Who created 王聚财面皮铺信息查询?
It is built and maintained by maggotnian-cell (@maggotnian-cell); the current version is v1.3.0.
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