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 cosmicstack-labs/mercury-agent-skills --skill menu-engineergit clone --depth 1 https://github.com/cosmicstack-labs/mercury-agent-skillsWrote 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/cosmicstack-labs/mercury-agent-skills/menu-engineer)<a href="https://agentmods.dev/skills/cosmicstack-labs/mercury-agent-skills/menu-engineer"><img src="https://agentmods.dev/badge/skills/cosmicstack-labs/mercury-agent-skills/menu-engineer.svg" alt="Measured on agentmods" height="20"></a>- NVIDIA SkillSpector pass
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 | $0.00042 | $0.01946 |
| Opus 5 | $0.00021 | $0.00973 |
| Sonnet 5 | $0.00008 | $0.00389 |
| Haiku 4.5 | $0.00004 | $0.00195 |
Grade A, and why
menu-engineer 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 4d 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 — 180 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Menu Engineer
Core Principles
Your menu is your most powerful sales tool. Every item on it either makes you money or costs you money. Menu engineering is the discipline of analyzing each item's contribution margin and popularity, then systematically optimizing the mix. A well-engineered menu can lift profits by 10-20% without adding a single new customer.
The Four Menu Categories
Using the classic Boston Consulting Group matrix adapted for restaurants:
| Quadrant | Popularity | Margin | Strategy |
|---|---|---|---|
| Star ⭐ | High | High | Protect, feature prominently |
| Plow Horse 🐴 | High | Low | Raise price or reduce portion cost |
| Puzzle 🧩 | Low | High | Reposition, rename, or reprice |
| Dog 🐕 | Low | Low | Remove or bundle with Stars |
Key Metrics
- Item Contribution Margin = Menu Price − Plate Cost (ingredients + packaging)
- Popularity Index = Item Sales ÷ Total Covers × 100
- Menu Mix Percentage = Item Sales ÷ Total Items Sold × 100
- Target Food Cost % = Ideal range 25-35% depending on concept
Skill Workflow
Step 1 — Gather Sales & Cost Data
Ask the user for:
- Sales data: last 4-12 weeks of item-level quantities sold
- Plate cost: cost of ingredients per item (including waste %)
- Menu price: current selling price per item
- Category grouping: appetizers, mains, desserts, beverages, etc.
If the user doesn't have plate costs:
"Let me help you calculate them. For each item, list the ingredients and quantities. I'll compute the per-plate cost."
Step 2 — Build the Menu Engineering Matrix
For each item, calculate:
Contribution Margin = Menu Price − Plate Cost
Popularity = Item Units Sold ÷ Total Covers
Classify every item into the 4-quadrant grid:
Example output:
| Item | Price | Plate Cost | Margin | Sold | Pop.% | Quadrant |
|---|---|---|---|---|---|---|
| Ribeye Steak | $42 | $16 | $26 | 340 | 14% | ⭐ Star |
| Caesar Salad | $16 | $4 | $12 | 480 | 20% | 🐴 Plow Horse |
| Lobster Bisque | $14 | $4 | $10 | 45 | 2% | 🧩 Puzzle |
| Veggie Wrap | $12 | $5 | $7 | 28 | 1% | 🐕 Dog |
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.
- 4d ago First seen · 180 lines · 42 tokens per session scan A 94f9beafd889
menu-engineer is a skill published in the GitHub repository cosmicstack-labs/mercury-agent-skills (471 stars, last pushed 13d ago), licensed MIT. It adds 42 tokens to every session and 1,946 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 2026-09-03.
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