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McDonald's Party Planner
Food & Drink 📌 Pinned version: commit 9af9061
🔎 Install prompt analysis · 2026-10-19 : runs commands
⚙ Needs: Before you start: read this whole install prompt…

McDonald's Party Planner

Plan a group McDonald's China meal or party: priced plans for your headcount and budget, party sessions, and the best date to hold it.

At a glance
What
Plan a group McDonald's China meal or party: priced plans for your headcount and budget, party sessions, and the best date to hold it.
Cost
Free
Needs
Before you start: read this whole install prompt, tell me in a few lines what this skill does and what installing it involves, and wait for my go-ahead before you do anything else.
Install
Copy the installer prompt below into your Muse — your agent does the rest.

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🧭 What this touches
  • It can run commands on your Muse’s computer.
Install prompt analysis · 2026-10-19
🔒 Security and provenance
📌 Pinned version: commit 9af9061 · 2026-10-19
🔎 Install prompt analysis · 2026-10-19 : runs commands
What the scan found — excerpts from the install prompt
  • runs commands — python -m src.cli plan --city 成都 --keyword 春熙路 --headcount 8 --budget 400 · python -m src.cli party --city 成都市 --headcount 6 · python -m src.cli calendar --city 成都 --keyword 春熙路
Skill Harbor never reviews the code of a listed skill. These are dated facts about the install prompt and our install test, not a safety certification. Review a skill yourself before you install it. How we verify

Before you start: read this whole install prompt, tell me in a few lines what this skill does and what installing it involves, and wait for my go-ahead before you do anything else. Prerequisites: Account and token required before any real use: a McDonald's China MCP token. The listing is free, and activating the token is described upstream as free. Get the token yourself, in person, because it needs mobile phone number verification: go to https://open.mcd.cn/mcp , sign in with your mobile phone number, open the console at the top right, click Activate, agree to the service agreement, and copy the token. Then configure the McDonald's China MCP server: name mcd-mcp, type streamablehttp, URL https://mcp.mcd.cn , header Authorization: Bearer <your token>, or set the MCD_MCP_TOKEN environment variable where the skill reads it that way. Keep the token only in your own private client configuration or environment: never commit it, never share it, and never paste it into a shared chat. Upstream states a limit of 600 requests per minute per token (429 above that). Specific setup in the SKILL.md: the token goes in a .env file at the root of your repository clone (MCD_MCP_TOKEN=..., and .env is gitignored upstream), the mcd-mcp connector is enabled, and the whole repository is cloned, because the commands run as python -m src.cli from the repository root. Python standard library only, no pip install. The SKILL.md states the token must never be echoed in conversation, logs or files beyond that local .env, and that user addresses and contact details are never sent out or saved to disk, only used in memory at runtime. Install "McDonald's Party Planner" for me. It builds priced group meal plans for your city, headcount and budget, chains party session booking in dry run by default, and advises on timing from the campaign calendar. It needs the full repository clone to run. Repository: https://github.com/zcbacxc/mcd-party-planner (the skill is the whole skill/ folder at the pinned commit: SKILL.md) Pinned version: install the code at commit 9af9061804d9452443bf1e3724d75a66a2fd79ba exactly. Do not substitute a newer version. If this commit is unreachable, stop and tell me. 1. Clone https://github.com/zcbacxc/mcd-party-planner into a temporary folder, check out commit 9af9061804d9452443bf1e3724d75a66a2fd79ba, and copy the skill/ folder from that checkout. Then compare every file in the folder with the fingerprints recorded for this listing on 2026-10-18: [FINGERPRINTS] - SKILL.md: SHA-256 d4246968db81f3520aaedf87e9f2faaee0ccc43589ad4a0583e5d6868f314f4c If a file does not match, it changed since the listing was prepared: do not install it yet, tell me what you found and let me decide. 2. Read SKILL.md in full (and every other file in the folder) and tell me in plain words: what the skill does when used, which services it connects to, whether it reads or sends any personal information or keys, and anything that seems unusual. Stop on any red flag and tell me before going further. Confirm these points from the files: - The skill folder (skill/) holds one file only: SKILL.md. That file is a workflow document, not the program: every command it gives runs python -m src.cli from the root of a full clone of this repository, reading a .env file at the repository root. The repository code that actually runs (src/mcp_client.py, src/party_planner.py, src/cli.py, src/config.py) is outside the skill folder, is not covered by the fingerprints below, and was read separately for this listing from the same pinned commit: it is a standard library MCP client whose only network destination is https://mcp.mcd.cn, with the token read from the environment or the local .env and never printed, an internal throttle of 300 calls per minute and 429 backoff. If the clone is missing, the skill cannot run at all. - At use time, the plan flow sends to https://mcp.mcd.cn (Streamable HTTP, Authorization: Bearer token) your city and keyword (query-nearby-stores), then storeCode with query-meals, query-meal-detail and calculate-price with the group items, so the server receives your token, city, keyword, headcount and budget as they shape the tool arguments, and your chosen stores and items. The party flow sends mall-points-products and mall-product-detail queries, then query-party-city, query-party-store (with the city's code and its latitude and longitude as returned by the server), query-party-store-date and query-party-store-session (spuId, storeCode, date). The calendar flow sends campaign-calendar for a date, query-nearby-stores, a read of the delivery addresses saved on your account (delivery-query-addresses, whose identifiers are then used with delivery-query-stores and query-meal-assistance to check group meal assistance per store); the SKILL.md states addresses and contact details are used in memory only, never sent anywhere else and never written to disk. - Ordering is off by default: the party flow runs as a dry run that only prints the chain results and the bookable payload, and party-order-create is called only when the user explicitly asks to order and the --confirm flag is added. The repository client also defines argument specs for all 35 server tools, including write tools the SKILL.md flows do not use (create-order, delivery-create-address, mall-create-order, draw-lottery, cancel-order, auto-bind-coupons); they are registered in that spec table only, and no flow in the SKILL.md calls them. - Nothing is sent anywhere during installation itself; the only downloads at install time are the skill folder and the repository clone from GitHub at the pinned commit. The listing and the token are free; a party booking you confirm is paid by you through McDonald's, at the official prices returned by the server. 3. When I say "yes, install", install it as a skill: copy the whole folder into the agent's skills directory, in a folder named "mcd-party-planner", keeping every file (SKILL.md). 4. Verify with no network calls: frontmatter valid, files in place. 5. Report what was installed, where, and what I still need to do myself (for example: get the McDonald's China MCP token myself at https://open.mcd.cn/mcp with my mobile phone number if I do not have one, put it only in my own private MCP client configuration or environment variable and never paste it into a shared chat, install Python if it is missing, and set up the mcd-mcp connector to https://mcp.mcd.cn if it is not configured; using the skill is a separate step that only starts when I ask for it, and any order, coupon claim or booking happens only as disclosed above). Keep the full repository clone in place and tell me where it is, because this skill runs python -m src.cli from the repository root with its .env file there; the installed skill folder alone cannot run. GitHub is optional: if I have a GitHub account or the gh CLI, you may use it; otherwise public access is fine. Never require it unless it's in the prerequisites above. Rules: don't touch anything outside the temp folder and the install target. If anything looks off, stop and ask me.

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