Agent skill

Food Ordering

by asgeirtj in asgeirtj/system_prompts_leaks

Prepare restaurant food orders for delivery or pickup; use for cart, checkout and tracking.

CC0-1.0Auto-check passed

Install Food Ordering

skills CLI
$ npx skills add asgeirtj/system_prompts_leaks --skill food-ordering -a claude-code

Project install by default; add -g for ~/.claude/skills/.

GitHub CLI
$ gh skill install asgeirtj/system_prompts_leaks food-ordering --agent claude-code

Project scope by default; add --scope user for a personal install. Needs GitHub CLI 2.90.0 or later (public preview).

Manual copy
$ git clone --depth 1 https://github.com/asgeirtj/system_prompts_leaks.git skills-src && mkdir -p .claude/skills && cp -r skills-src/OpenAI/dots/skills/food-ordering .claude/skills/food-ordering && rm -rf skills-src

Use ~/.claude/skills/ instead of .claude/skills for a personal install. The folder must contain SKILL.md.

Claude Code skills documentation · loads skills from .claude/skills/

Facts

Skill name
food-ordering
GitHub stars
69k
Token cost
~1.4k tokens
SKILL.md length
794 words
Files
1
Skills in repo
128
Repo updated
First seen
Licence
CC0-1.0

At a glance

Prepare restaurant food orders for delivery or pickup; use for cart, checkout and tracking.

  • Works in 4 steps: The usual dumplings, delivered to the… → Team lunch on a tight clock, with a… → Movie-night favorites, over budget with… → …
  • Checkout and tracking
  • SKILL.md covers Prepare the order, Place and follow up and Examples
  • Instructions only: no scripts, shell commands, URLs or credentials in SKILL.md

What it does

Food Ordering is an agent skill from asgeirtj/system_prompts_leaks. Prepare restaurant food orders for delivery or pickup; use for cart, checkout and tracking. Placing the order requires authorization.

Its SKILL.md is about 1.4k tokens, which your agent loads only when the skill is triggered. It is a single SKILL.md file with no bundled scripts.

The repository describes itself as: Documented system prompts from Anthropic - Claude Fable 5.1, Opus 5.5, Claude Design, Claude Code. OpenAI - ChatGPT GPT-6-Astra, Codex. Google - Gemini 3.8 Flash, 3.1 Pro… The licence is CC0-1.0.

When your agent uses it

  • Checkout and tracking

Example prompts

  • “/food-ordering”

Workflow steps

4 steps, taken from the step headings in SKILL.md.

  1. The usual dumplings, delivered to the hotel
  2. Team lunch on a tight clock, with a serious allergy
  3. Movie-night favorites, over budget with delivery
  4. The app freezes after payment

What it can do on your machine

Read from SKILL.md and the folder at commit 60d44cc. It shows what the files ask for, not the result of running them.

  • Tool permissions

    Pre-approves nothing: there is no allowed-tools line, so your agent's usual permission prompts apply.

    From allowed-tools in the SKILL.md frontmatter.

  • Runs code

    No scripts in the folder and no shell commands in SKILL.md.

    From the folder's file list and the shell code blocks in SKILL.md.

  • Network

    No URLs in SKILL.md.

    From URLs in SKILL.md, links to its own repository left out.

  • Credentials

    Names no API keys, tokens, secrets or passwords.

    From names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.

Context cost

Food Ordering loads about 1.4k tokens when it runs. Until then it costs about 37 tokens; SKILL.md has 794 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it
~37
When it runs · the whole SKILL.md, loaded when a task matches
~1.4k

Estimates: characters ÷ 4, the usual rule of thumb; real counts depend on the model's tokenizer. Scripts and assets cost tokens only if the agent reads them.

Safety

Auto-check passed

The automated check found no risky patterns in SKILL.md.

Automated static check — not a guarantee. Review scripts before installing. It scans the text of SKILL.md for risky patterns (piping downloads into a shell, reading credential files, hidden Unicode, destructive commands); files beside SKILL.md are not scanned.

SKILL.md

The full file from asgeirtj/system_prompts_leaks at commit 60d44cc, republished under its CC0-1.0 licence (© asgeirtj). 794 words, ~1,449 tokens.

Download SKILL.mdSave it as .claude/skills/food-ordering/SKILL.md (or your agent's skills folder).
name
food-ordering
description
Prepare restaurant food orders for delivery or pickup; use for cart, checkout and tracking. Placing the order requires authorization.

Food ordering

Get the right food to the right place, without making the user work through the checkout details.

Workers return results to the parent, who handles user delivery. Dreamers use this skill for research only.

Prepare the order

  • If user asks you something open ended like "order me a coffee," suggest nearby places for coffee or recommend popular places and then "otherwise, send a cafe you have in mind and delivery address".

  • Check delivery or pickup, the current address and drop-off instructions, the time, budget and who is eating. Use relevant past orders before asking about a usual or preferences; a group order does not establish one person's taste.

  • Check the current menu and what can actually be ordered. For an open-ended request, compare food that fits, delivery time, and total cost. Use $orbit:restaurant-recommendations when choosing where to order.

  • Look at what else is happening. A hotel may need a room or lobby handoff, an office may have a delivery entrance, and a meal before a movie needs to arrive before the user leaves. Use past feedback about portions, spice, missing items or food that travels poorly, when it is relevant.

  • Build the requested cart with portions, changes, and any authorized substitutions. Treat stated allergies as firm requirements. A menu note or order request cannot guarantee that the kitchen can prevent cross-contact; check the restaurant's published guidance or ask a general question without identifying the person when that is enough.

  • For a group, match portions to the number of people and keep individual dietary needs separate. Before disclosing an identifiable person's allergy or other health information, follow <confirmation_policy> for that specific information and destination. If the kitchen cannot establish that the meal is suitable, tell the user and offer a safer alternative before ordering for that person. Never silently remove an allergy note, choose an unapproved substitute, or copy private context into delivery instructions.

Place and follow up

  • Follow <confirmation_policy> before payment and use the Wallet skill when available. Recheck the restaurant or merchant, cart, checkout address, full total including tax, fees and tip, and expected arrival. Ask about a purchase or material change outside the user's authorization. Don't add memberships, extra items, or unapproved substitutes.
  • If checkout is uncertain, check current orders before retrying. Confirm what the provider accepted and share the ETA and tracking link when available. Use supported updates for a material delay or change; do not imply active tracking without it.
  • A checkout estimate is not a promised arrival. If the restaurant is too late, compare pickup or another option that fits before handing the issue back. Changing or cancelling an accepted order must stay within the authorization and provider terms.

Examples

1. The usual dumplings, delivered to the hotel
  • User: "Order my usual dumplings from Dumpling House to the hotel; keep it under $40."

  • Action: Check the usual order, hotel address and lobby handoff, then verify the $36.80 total and estimated arrival. Place the authorized order and confirm the provider accepted it.

  • Guidance: Complete any required address-sharing approval before checkout. Say "ordered" only after acceptance, and keep the arrival time an estimate.

  • dot:

    text
    "Dumplings are ordered! $36.80 total, meet the driver in the lobby around ~7:15. Here's your [tracking link](LINK_URL)!"
Show full SKILL.md (313 more words)Show less
2. Team lunch on a tight clock, with a serious allergy
  • User: "Lunch for the team in 25 minutes; Maya has a severe peanut allergy."

  • Action: Compare delivery in 40 minutes with pickup in 15. Ask general cross-contact questions without naming Maya; if the first kitchen cannot establish suitability, check another. In this example, the second restaurant has a dedicated preparation area but still needs to assess the meal.

  • Guidance: Name the restaurant when asking to share Maya's severe peanut allergy. A dedicated preparation area is not a safety guarantee; establish suitability before ordering for her, and offer another option if the kitchen cannot do so.

  • dot:

    text
    "I'd do pickup since it's 15 minutes instead of 40 for delivery. [Restaurant](LINK_URL) has a dedicated prep area. Can I share Maya's severe peanut allergy with them before ordering?"
3. Movie-night favorites, over budget with delivery
  • User: "Order dumplings and something Eli likes for movie night. Same place as last time, $45 max."
  • Action: Check the previous restaurant and evidence that Eli likes the scallion pancakes. Verify both totals and pickup timing against the movie.
  • Guidance: Keep the $45 limit. Ask before switching from delivery to pickup; an estimated ready time is not a guarantee.
  • dot: "The dumplings and Eli's pancakes are $52 delivered, or $43 for pickup. The kitchen thinks they'll be ready before the movie. Does pickup work?"
4. The app freezes after payment
  • User: "The app froze after I paid. Can you try again?"

  • Action: Check current orders, payment status and any confirmation before retrying.

  • Guidance: A frozen app doesn't mean the order failed. Resolve the first attempt before risking a duplicate order or charge.

  • dot (if the order is confirmed):

    text
    "It went through! Here's your [order confirmation](LINK_URL)"
  • dot (if the outcome is still unclear): "Yep, still waiting on confirmation. I'll check again before retrying so you don't get charged twice"

© asgeirtj, CC0-1.0. Rendered from Markdown: HTML in the file is shown as text, images as links, and headings moved down two levels. Raw file

Files

Just SKILL.md in OpenAI/dots/skills/food-ordering of asgeirtj/system_prompts_leaks.

Open the folder on GitHubat commit 60d44cc

Compare with similar skills

Food Ordering next to the 5 skills that share the most tags, products or categories with it. Stars are the repository's; “used in” counts other GitHub owners with a copy.

Food Ordering compared with similar skills
SkillStarsUsed inTokensAuto-checkLicenceRepo updated
Food Ordering this skillasgeirtj/system_prompts_leaks69k—~1.4kAutomated safety check: PassCC0-1.0
Preparing Deliveryrapidaai/voice-ai745—~678Automated safety check: PassCustom licence
Ortools Pickup Delivery Routingbenchflow-ai/skillsbench1.8k—~2kAutomated safety check: PassApache-2.0
Audit Preparationsickn33/agentic-awesome-skills47k1 repos~5.3kAutomated safety check: PassMIT
CSS Orderthedaviddias/Front-End-Checklist74k—~404Automated safety check: PassMIT
Focus Orderthedaviddias/Front-End-Checklist74k—~519Automated safety check: PassMIT

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  • Preparing Delivery

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    745 GitHub stars~678 tokensUpdated 4 days ago
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Questions about Food Ordering

What does Food Ordering do?

Prepare restaurant food orders for delivery or pickup; use for cart, checkout and tracking. Food Ordering is an agent skill from asgeirtj/system_prompts_leaks. Prepare restaurant food orders for delivery or pickup; use for cart, checkout and tracking.

When should I use Food Ordering?

Food Ordering fits situations like: checkout and tracking.

How do I install Food Ordering in Claude Code?

Run `npx skills add asgeirtj/system_prompts_leaks --skill food-ordering -a claude-code`. Or copy the skill folder (OpenAI/dots/skills/food-ordering in asgeirtj/system_prompts_leaks) into .claude/skills/food-ordering in your project. Claude Code loads it when a task matches its description.

How do I install Food Ordering in Codex?

Run `npx skills add asgeirtj/system_prompts_leaks --skill food-ordering -a codex`. Or copy the skill folder (OpenAI/dots/skills/food-ordering in asgeirtj/system_prompts_leaks) into .agents/skills/food-ordering in your project. Codex loads it when a task matches its description.

Can I use Food Ordering in Cursor, Gemini CLI or GitHub Copilot?

Cursor, Gemini CLI, GitHub Copilot and OpenCode also load SKILL.md folders. With the skills CLI, run `npx skills add asgeirtj/system_prompts_leaks --skill food-ordering -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/food-ordering, .gemini/skills/food-ordering, .github/skills/food-ordering and .opencode/skills/food-ordering in your project.

What does Food Ordering need to run?

SKILL.md names no scripts, command-line tools or credentials: Food Ordering is instructions for the agent only.

Does Food Ordering access the network?

SKILL.md contains no URLs. Any network use would come from the scripts or tools the agent runs. This is read from the text; nothing was executed.

Is Food Ordering safe to install?

Our automated static check of SKILL.md found no risky patterns, such as piping downloads into a shell, reading credential files or hidden Unicode. It is not a guarantee. Review the folder before installing.

What licence does Food Ordering use?

Food Ordering is published under the CC0-1.0 licence (the repository's licence). It allows redistribution, so the full SKILL.md is shown on this page.

How many tokens does Food Ordering use?

About 1.4k tokens (SKILL.md is roughly 5.8k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full.

What are the alternatives to Food Ordering?

Skills that share tags, products or a category with Food Ordering: Preparing Delivery (rapidaai/voice-ai, 745 stars), Ortools Pickup Delivery Routing (benchflow-ai/skillsbench, 1.8k stars), Audit Preparation (sickn33/agentic-awesome-skills, 47k stars) and CSS Order (thedaviddias/Front-End-Checklist, 74k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.

Who maintains Food Ordering?

asgeirtj (a GitHub user) maintains it in asgeirtj/system_prompts_leaks, which has 69,280 GitHub stars. The repository holds 128 skills in this directory. The repository was last updated on October 10, 2026.

Source: asgeirtj/system_prompts_leaks on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.