Agent skill

Restaurant Recommendations

by asgeirtj in asgeirtj/system_prompts_leaks

Find restaurants that fit the people, occasion, location and budget.

CC0-1.0Auto-check passed

Install Restaurant Recommendations

skills CLI
$ npx skills add asgeirtj/system_prompts_leaks --skill restaurant-recommendations -a claude-code

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

GitHub CLI
$ gh skill install asgeirtj/system_prompts_leaks restaurant-recommendations --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/restaurant-recommendations .claude/skills/restaurant-recommendations && 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
restaurant-recommendations
GitHub stars
69k
Token cost
~755 tokens
SKILL.md length
449 words
Files
1
Skills in repo
128
Repo updated
First seen
Licence
CC0-1.0

At a glance

Find restaurants that fit the people, occasion, location and budget.

  • Choosing where to eat
  • SKILL.md covers Find the right place and Give a useful answer
  • Instructions only: no scripts, shell commands, URLs or credentials in SKILL.md
  • Not for placing an order

What it does

Restaurant Recommendations is an agent skill from asgeirtj/system_prompts_leaks. Find restaurants that fit the people, occasion, location and budget. Use for choosing where to eat or order from, not for placing an order or making a reservation.

Its SKILL.md is about 760 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

  • Choosing where to eat
  • Not for placing an order
  • Making a reservation

Example prompts

  • “/restaurant-recommendations”

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

Restaurant Recommendations loads about 755 tokens when it runs. Until then it costs about 48 tokens; SKILL.md has 449 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it
~48
When it runs · the whole SKILL.md, loaded when a task matches
~755

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). 449 words, ~755 tokens.

Download SKILL.mdSave it as .claude/skills/restaurant-recommendations/SKILL.md (or your agent's skills folder).
name
restaurant-recommendations
description
Find restaurants that fit the people, occasion, location and budget. Use for choosing where to eat or order from, not for placing an order or making a reservation.

Restaurant Recommendations

Find the place you'd actually send these people to, then check that it works for the occasion.

Find the right place

  • Start with who is going, why, where, when, and how much they want to spend. Check the conversation, plans, and past choices before asking. Look for what they liked or disliked, such as a loud room, long trip, formal service, or small portions.
  • Keep each person's needs separate. A companion's order does not establish the user's preference, and a reservation says little about whether anyone enjoyed it. Treat stated allergies and dietary restrictions as firm requirements; don't infer them from orders. If a venue needs identifiable allergy or other health information, follow <confirmation_policy> for that specific information and destination. You can often research or ask a general question without identifying anyone.
  • Look at the day around the meal: where people are coming from, the next event, how long they have, and whether they need a quiet room, quick service, an accessible entrance, or a place that works for children. Balance the group's needs rather than optimizing only for the user.
  • Check current menus, hours, location, prices and booking options. Use the restaurant itself for facts and recent independent local coverage for what the experience is like. For a special or expensive meal, look for more than one credible opinion; sponsored or repeated coverage does not count as separate evidence. Check details that could rule it out, such as a fixed menu, accessibility or when the kitchen closes.
  • If the date and party size are known, look for a real table. Say when availability is unconfirmed; one empty booking search doesn't mean the restaurant is full. A menu label doesn't confirm allergy safety or cross-contact practices. Note what the venue still needs to answer.
  • For delivery or pickup, consider the actual distance, current menu, and whether the dishes travel well. A great sit-down restaurant may be a weak delivery choice. Use $orbit:food-ordering if the user wants the order prepared or placed.
Show full SKILL.md (116 more words)Show less

Give a useful answer

  • Lead with the best choice and why it fits. Add alternatives when they offer a useful difference. Include expected spend, a dish or two worth ordering when supported, the caveat most likely to change the choice, and links to the menu or booking. Add travel time when useful. Use $orbit:restaurant-booking if asked to reserve, and follow <confirmation_policy> if a message to the venue would help.
  • If the favorite is booked or badly timed, find a workable second option instead of sending the user back to search. If they later tell you how it went, use that feedback to improve future suggestions; their own reaction is better evidence than a reservation or order.

© 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/restaurant-recommendations of asgeirtj/system_prompts_leaks.

Open the folder on GitHubat commit 60d44cc

Compare with similar skills

Restaurant Recommendations 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.

Restaurant Recommendations compared with similar skills
SkillStarsUsed inTokensAuto-checkLicenceRepo updated
Restaurant Recommendations this skillasgeirtj/system_prompts_leaks69k—~755Automated safety check: PassCC0-1.0
Budget Cash Flowsickn33/agentic-awesome-skills47k1 repos~4.1kAutomated safety check: PassMIT
Token Budget Advisoraffaan-m/ECC276k—~910Automated safety check: PassMIT
Token Budget Advisoraffaan-m/ECC276k—~927Automated safety check: PassMIT
Context Budgetaffaan-m/ECC277k3 repos~1.9kAutomated safety check: PassMIT
Context Budgetaffaan-m/ECC277k1 repos~709Automated safety check: PassMIT

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Questions about Restaurant Recommendations

What does Restaurant Recommendations do?

Find restaurants that fit the people, occasion, location and budget. Restaurant Recommendations is an agent skill from asgeirtj/system_prompts_leaks. Find restaurants that fit the people, occasion, location and budget.

When should I use Restaurant Recommendations?

Restaurant Recommendations fits situations like: choosing where to eat; not for placing an order; making a reservation.

How do I install Restaurant Recommendations in Claude Code?

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

How do I install Restaurant Recommendations in Codex?

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

Can I use Restaurant Recommendations 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 restaurant-recommendations -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/restaurant-recommendations, .gemini/skills/restaurant-recommendations, .github/skills/restaurant-recommendations and .opencode/skills/restaurant-recommendations in your project.

What does Restaurant Recommendations need to run?

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

Does Restaurant Recommendations 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 Restaurant Recommendations 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 Restaurant Recommendations use?

Restaurant Recommendations 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 Restaurant Recommendations use?

About 755 tokens (SKILL.md is roughly 3k 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 Restaurant Recommendations?

Skills that share tags, products or a category with Restaurant Recommendations: Budget Cash Flow (sickn33/agentic-awesome-skills, 47k stars), Token Budget Advisor (affaan-m/ECC, 276k stars), Token Budget Advisor (affaan-m/ECC, 276k stars) and Context Budget (affaan-m/ECC, 277k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.

Who maintains Restaurant Recommendations?

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.