Getting it into your agent
One page per mod, every tool's command on it. A separate URL per tool would split the same page into five that compete with each other.
npx skills add zubair-trabzada/ai-restaurant-claude --skill restaurantgit clone --depth 1 https://github.com/zubair-trabzada/ai-restaurant-claudeWrote this? Show the measurements
A badge with what this costs and how it scanned, read live from this page, so it follows the numbers instead of freezing them. Markdown for a README, HTML for a documentation site or a project page.
[](https://agentmods.dev/skills/zubair-trabzada/ai-restaurant-claude/restaurant)<a href="https://agentmods.dev/skills/zubair-trabzada/ai-restaurant-claude/restaurant"><img src="https://agentmods.dev/badge/skills/zubair-trabzada/ai-restaurant-claude/restaurant/github.svg" alt="Measured on agentmods" height="20"></a>Or the 80×15 button, for a site that already has a row of RSS and ATOM ones. Only the verdict fits; the numbers stay here.
<a href="https://agentmods.dev/skills/zubair-trabzada/ai-restaurant-claude/restaurant"><img src="https://agentmods.dev/badge/skills/zubair-trabzada/ai-restaurant-claude/restaurant.svg" alt="Reviewed on agentmods" width="80" height="20"></a>What it costs to keep this loaded
Counted locally with the o200k_base tokenizer, which is exact for GPT models; Claude uses its own tokenizer and its counts differ. Treat this as one consistent yardstick across the catalogue rather than a bill. Prices are per million input tokens.
| Model | Per session | Once invoked |
|---|---|---|
| Fable 5.1 | $0.00000 | $0.01334 |
| Opus 5 | $0.00000 | $0.00667 |
| Sonnet 5 | $0.00000 | $0.00267 |
| Haiku 4.5 | $0.00000 | $0.00133 |
Grade A, and why
restaurant scanned grade A with 0 findings against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 12d ago.
A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.
Nothing flagged
None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.
How it starts
The opening of the file, as written. The whole thing — 95 lines — stays where its author put it; the contents beside it link to each section on GitHub.
AI Restaurant Team — Main Orchestrator
You are a comprehensive AI restaurant marketing and operations analysis system for Claude Code. You help restaurant owners, agency owners, and consultants analyze any restaurant's online presence, optimize their menu, manage reviews, build local SEO strategy, and produce client-ready PDF reports — all from the command line.
Command Reference
| Command | Description | Output |
|---|---|---|
/restaurant audit <name> |
Full restaurant analysis (5 parallel agents) | RESTAURANT-AUDIT-[Name].md |
/restaurant quick <name> |
60-second restaurant snapshot | Terminal output |
/restaurant reviews <name> |
Multi-platform review analysis | RESTAURANT-REVIEWS-[Name].md |
/restaurant respond <name> |
Generate personalized review responses | RESTAURANT-RESPONSES-[Name].md |
/restaurant menu <url> |
Menu engineering & pricing analysis | RESTAURANT-MENU-[Name].md |
/restaurant pricing <name> |
Competitive pricing analysis | RESTAURANT-PRICING-[Name].md |
/restaurant online <name> |
Online presence audit (GBP, Yelp, website) | RESTAURANT-ONLINE-[Name].md |
/restaurant photos <name> |
Food photography audit & shot list | RESTAURANT-PHOTOS-[Name].md |
/restaurant social <name> |
30-day social media content calendar | RESTAURANT-SOCIAL-[Name].md |
/restaurant local-seo <name> |
Local SEO audit & strategy | RESTAURANT-SEO-[Name].md |
/restaurant ads <name> |
Facebook/Instagram ad copy variations | RESTAURANT-ADS-[Name].md |
/restaurant email <name> |
Email & SMS loyalty sequences | RESTAURANT-EMAIL-[Name].md |
/restaurant competitors <name> |
Top 5 local competitor analysis | RESTAURANT-COMPETITORS-[Name].md |
/restaurant report-pdf |
Professional PDF restaurant report | RESTAURANT-REPORT.pdf |
Routing Logic
When the user invokes /restaurant <command>, route to the appropriate sub-skill.
Full Restaurant Audit (/restaurant audit <name>)
This is the flagship command. It launches 5 parallel subagents simultaneously:
What this file has done since we first saw it
Hashed on every crawl. A supply-chain change to an agent config is a question of when, not whether, so the history is kept rather than the latest state alone.
- 12d ago First seen · 95 lines · 0 tokens per session scan A 90ecae51a666
restaurant is a skill published in the GitHub repository zubair-trabzada/ai-restaurant-claude (26 stars, last pushed 3mo ago), licensed MIT. It costs nothing until one of its globs matches a file; then it loads 1,334 tokens. A static security scan graded it A with 0 findings. No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-30.
Other skills, from other repositories
systematic-debugging
Use when encountering any bug, test failure, or unexpected behavior, before proposing fixes.
local-ai-agents
Build local-first AI agents that run entirely on a developer workstation with Microsoft Foundry Local and Qwen function-calling models. Covers Small Language Models (SLMs), the OpenAI-compatible local endpoint, sandboxed local tools, local RAG with Chroma, local MCP servers, hybrid cloud/local routing, and the…
next-cache-components-adoption
Turn on Cache Components in a Next.js app and resolve the blocking routes it surfaces. Use when the user wants to enable, adopt, or migrate to Cache Components, flip the cacheComponents flag, work through a flood of blocking-prerender / instant validation errors, run the cache-components-instant-false codemod, or…
chat-pet-sprite-creation
Use when creating or changing VS Code chat pet sprite art, sprite sheets, state animations, eye treatments, Stable/Insiders variants, or pet transitions under src/vs/workbench/contrib/chat/browser/widget/media/chatPet.
cpu-profile-analysis
Analyze V8/Chrome CPU profiles (.cpuprofile) and DevTools trace files (Trace-.json). Use when: profiling performance, investigating slow functions, comparing code paths, finding bottlenecks, analyzing timeToRequest, understanding call trees from sampling profiler data, analyzing layout/paint/rendering, investigating…
insight-error-page
Write or audit an insight-kind error page for the Next.js dev overlay. Use when creating a new errors/ .mdx page, auditing an existing one, or checking that a page matches the framework fix cards. Covers page structure, title alignment, FixCard cards with Copy prompt button, code snippets, terminology verification…