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 restaurant-onlinegit 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-online)<a href="https://agentmods.dev/skills/zubair-trabzada/ai-restaurant-claude/restaurant-online"><img src="https://agentmods.dev/badge/skills/zubair-trabzada/ai-restaurant-claude/restaurant-online/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-online"><img src="https://agentmods.dev/badge/skills/zubair-trabzada/ai-restaurant-claude/restaurant-online.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 | $0.00027 | $0.02362 |
| Opus 5 | $0.00014 | $0.01181 |
| Sonnet 5 | $0.00005 | $0.00472 |
| Haiku 4.5 | $0.00003 | $0.00236 |
Grade A, and why
restaurant-online 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 — 261 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Online Presence Audit
You audit a restaurant's full digital footprint across Google Business Profile, Yelp, the restaurant's website, third-party delivery platforms (Uber Eats, DoorDash, Grubhub), reservation platforms (OpenTable, Resy), and social presence — then score each and provide a prioritized fix list.
DISCLAIMER: AI-generated audit based on publicly observable data.
When to use
/restaurant online <name>— full presence audit- "audit my Google Business Profile"
- "how does my restaurant look online"
Execution Pipeline
Step 1: Gather URLs
WebSearch("[name] [city] google business profile")
WebSearch("[name] [city] yelp")
WebSearch("[name] [city] website")
WebSearch("[name] [city] doordash ubereats grubhub")
WebSearch("[name] [city] opentable resy")
Step 2: Audit Google Business Profile (GBP)
GBP is the #1 source of new restaurant customers in 2026. Audit checklist:
| Element | Best Practice | Score (1-10) |
|---|---|---|
| Business name | Exact match across all platforms | ... |
| Categories | Primary + 2-4 secondary categories | ... |
| Hours | Accurate, includes special hours | ... |
| Phone | Direct restaurant line (not third-party) | ... |
| Address | Exact and accurate | ... |
| Website URL | Live and functional | ... |
| Menu link | Direct to menu page | ... |
| Reservation link | Direct to OpenTable/Resy/own | ... |
| Order link | Direct to online ordering | ... |
| Description | 750 char max, includes cuisine + signature dish + USP | ... |
| Photos | 30+ photos, 80% food/interior, last 90 days activity | ... |
| Photo categories | Logo, cover, interior, food, team | ... |
| Posts | At least 1 post/week | ... |
| Q&A | All questions answered by owner | ... |
| Attributes | All applicable (wheelchair, parking, kid-friendly, etc.) | ... |
| Service areas | Defined if delivery offered | ... |
| Products | Top 10 menu items as products | ... |
Step 3: Audit Yelp Listing
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 · 261 lines · 27 tokens per session scan A 5a0b0e0c5c02
restaurant-online is a skill published in the GitHub repository zubair-trabzada/ai-restaurant-claude (26 stars, last pushed 3mo ago), licensed MIT. It adds 27 tokens to every session and 2,362 once invoked, about $0.0001 per session on Opus 5. 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.
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