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kongdeyu

麦当劳点餐

by kongdeyu · GitHub ↗ · v1.0.0 · MIT-0
cross-platform ⚠ suspicious
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Install in OpenClaw
/install mcdonalds
Description
麦当劳中国 MCP 服务集成,支持优惠券、点餐、外卖、积分商城等功能。当用户提到麦当劳、McDonald's、麦乐送、麦麦省、麦当劳优惠券、麦当劳积分、麦当劳点餐时触发此技能。
Usage Guidance
This skill appears to be a straightforward MCP client, but before installing you should: 1) Confirm the registry metadata is corrected to declare MCD_MCP_TOKEN as a required credential (and ideally mark it as the primary credential). 2) Treat MCD_MCP_TOKEN as sensitive — it can access addresses, orders, coupons, and account info; only provide a token you control and understand its scope. 3) Verify the endpoints (open.mcd.cn and mcp.mcd.cn) are legitimate and that you obtained the token from the official developer console. 4) Inspect and run the included script locally if possible; monitor network traffic to ensure requests go only to the expected domain. 5) Revoke the token immediately if you suspect it was exposed. The main concrete issue is a metadata omission (missing required env var); that alone doesn't imply malicious intent but it should be fixed and treated cautiously.
Capability Analysis
Type: OpenClaw Skill Name: mcdonalds Version: 1.0.0 The skill bundle provides a legitimate integration with McDonald's China services via a JSON-RPC API (mcp.mcd.cn). The Python script (scripts/mcp_call.py) is a straightforward wrapper for making authenticated requests using a user-provided environment variable (MCD_MCP_TOKEN), and the documentation (SKILL.md, references/tools.md) clearly outlines the intended functionality for ordering food and managing coupons without any signs of malicious intent or prompt injection.
Capability Assessment
Purpose & Capability
The name, description, SKILL.md and the included Python script all consistently implement a McDonald's (MCP) API client for coupons, orders, addresses and points. The requested functionality (menu, coupons, create orders) aligns with the stated purpose.
Instruction Scope
SKILL.md instructs the agent to use the provided script to call MCP endpoints over HTTPS and to set MCD_MCP_TOKEN. The runtime instructions are narrowly scoped to MCP operations and do not ask the agent to read unrelated files or contact unknown endpoints.
Install Mechanism
This is instruction-only with a small included helper script; there is no installer, downloaded archive, or external package fetch. Nothing is written to disk by an installer step beyond running the script itself.
Credentials
The SKILL.md and script require an environment variable MCD_MCP_TOKEN for authorization, but the registry metadata lists no required env vars or primary credential. That mismatch is a concerning omission because the token grants access to sensitive account operations (addresses, orders, coupons).
Persistence & Privilege
The skill is not always-enabled and does not request persistent system-level privileges. It does not modify other skills or agent-wide configuration.
How to Use
  1. Make sure OpenClaw is installed (local or Docker)
  2. Run the install command in chat: /install mcdonalds
  3. After installation, invoke the skill by name or use /mcdonalds
  4. Provide required inputs per the skill's parameter spec and get structured output
Version History
v1.0.0
首次发布:支持优惠券领取、外卖点餐、积分兑换等功能
Metadata
Slug mcdonalds
Version 1.0.0
License MIT-0
All-time Installs 2
Active Installs 1
Total Versions 1
Frequently Asked Questions

What is 麦当劳点餐?

麦当劳中国 MCP 服务集成,支持优惠券、点餐、外卖、积分商城等功能。当用户提到麦当劳、McDonald's、麦乐送、麦麦省、麦当劳优惠券、麦当劳积分、麦当劳点餐时触发此技能。 It is an AI Agent Skill for Claude Code / OpenClaw, with 404 downloads so far.

How do I install 麦当劳点餐?

Run "/install mcdonalds" in the OpenClaw or Claude Code chat to install it in one step — no extra setup required.

Is 麦当劳点餐 free?

Yes, 麦当劳点餐 is completely free, licensed under MIT-0. You can download, install and use it at no cost.

Which platforms does 麦当劳点餐 support?

麦当劳点餐 is cross-platform and runs anywhere OpenClaw / Claude Code is available (cross-platform).

Who created 麦当劳点餐?

It is built and maintained by kongdeyu (@kongdeyu); the current version is v1.0.0.

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