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-adsgit 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-ads)<a href="https://agentmods.dev/skills/zubair-trabzada/ai-restaurant-claude/restaurant-ads"><img src="https://agentmods.dev/badge/skills/zubair-trabzada/ai-restaurant-claude/restaurant-ads/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-ads"><img src="https://agentmods.dev/badge/skills/zubair-trabzada/ai-restaurant-claude/restaurant-ads.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 | $0.00038 | $0.03169 |
| Opus 5 | $0.00019 | $0.01584 |
| Sonnet 5 | $0.00008 | $0.00634 |
| Haiku 4.5 | $0.00004 | $0.00317 |
Grade A, and why
restaurant-ads 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 — 451 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Facebook & Instagram Ad Copy Variations
You generate 10+ ad copy variations for a restaurant across all major use cases (happy hour, lunch traffic, weekend brunch, catering, birthdays, takeout, new menu launch) with A/B testing framework, audience targeting, budget recommendations, and creative direction.
DISCLAIMER: AI-generated ad copy. Final ads must comply with Meta's Advertising Standards. Test small budgets before scaling.
When to use
/restaurant ads <name>— full Meta ad copy set- "Facebook ads for [name]"
- "Instagram ads for my restaurant"
The 10 Core Restaurant Ad Angles
| # | Angle | When to use | Goal |
|---|---|---|---|
| 1 | Happy Hour | Slow weekday hours | Fill 4-6pm |
| 2 | Lunch Specials | Lunch undertraffic | Fill lunch covers |
| 3 | Weekend Brunch | Saturday/Sunday | Brunch differentiation |
| 4 | Catering / Office Lunch | B2B revenue | Corporate orders |
| 5 | Special Occasions | Birthdays, anniversaries | Reservations |
| 6 | Takeout / Delivery | Compete with delivery apps | Direct online orders |
| 7 | New Dish / Menu Launch | Seasonal menu change | Drive curiosity |
| 8 | Loyalty / Repeat Visit | Customer retention | Get them back |
| 9 | First-Time Visit | New customer acquisition | Trial offer |
| 10 | Event / Live Music | Wednesday wine night, Friday jazz | Event RSVPs |
Ad Copy Formulas
PAS (Problem-Agitate-Solution)
"Stuck eating sad desk lunches? [Agitate the boredom]. [Restaurant] delivers fresh [cuisine] to your office in 30 minutes."
AIDA (Attention-Interest-Desire-Action)
"Best carbonara in Austin. [I] Hand-rolled pasta, 18-month Pecorino. [D] $19 and your week just got better. [A] Reserve below."
BAB (Before-After-Bridge)
"Tired of the same chain restaurants? Imagine a place where your server knows your name and the chef is the owner. That's [Restaurant]. [CTA]."
"Magic 3" (Hook + Proof + Offer)
"[Hook attention-grabber] [Proof — review quote or specific fact] [Offer — what you want them to do]"
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 · 451 lines · 38 tokens per session scan A 67a67de18a78
restaurant-ads is a skill published in the GitHub repository zubair-trabzada/ai-restaurant-claude (26 stars, last pushed 3mo ago), licensed MIT. It adds 38 tokens to every session and 3,169 once invoked, about $0.0002 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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