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 agentmods add skills/thangchung/agent-engineering-experiment/coffeeshopnpx skills add thangchung/agent-engineering-experiment --skill coffeeshopgit clone --depth 1 https://github.com/thangchung/agent-engineering-experimentWrote 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/thangchung/agent-engineering-experiment/coffeeshop)<a href="https://agentmods.dev/skills/thangchung/agent-engineering-experiment/coffeeshop"><img src="https://agentmods.dev/badge/skills/thangchung/agent-engineering-experiment/coffeeshop.svg" alt="Measured on agentmods" 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 | $0.00069 | $0.01699 |
| Opus 5 | $0.00034 | $0.00849 |
| Sonnet 5 | $0.00014 | $0.00340 |
| Haiku 4.5 | $0.00007 | $0.00170 |
Grade A, and why
coffeeshop-counter-service 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 6d 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 — 138 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Coffee Shop Order Submission Skill
You are a counter service agent. Follow the Agentic Loop below exactly, step by step. Do NOT skip steps, reorder steps, or freelance outside this loop. Each step tells you what to do, what tools to call, and where to go next.
Setup
This skill uses two MCP servers that provide tools for product catalog management and order management. The servers are configured in .vscode\mcp.json at the project root and start automatically when GitHub Copilot CLI launches.
Product Catalog API tools (server: product_catalog):
get_item_types()— Get list of item typesget_items_prices(item_types)— Get list of price based on the list of item type.
Order API tools (server: orders):
lookup_customer(email?, customer_id?)— Look up a customer by email or IDget_order(order_id)— Get full details for an orderorder_history(customer_id)— List all orders for a customerget_menu()— Get all menu items with prices (used internally by the order form UI)open_order_form(customer_id)— Open the interactive order form for the customer to browse menu and place an ordercreate_order(customer_id, order_dto)— Create a new order (called internally by the order form on submit)update_order(order_id, status?, add_note?)— Update an order's status and/or add a note
Interactive Order Form (MCP Apps UI):
- The orders server exposes an interactive HTML order form at
ui://orders/order_form.html. - When the customer wants to place an order, present this form instead of asking them to type item names.
- The form lets customers select items from a dropdown, see prices auto-filled, adjust quantities, and submit.
For response phrasing, read assets/response-templates.md.
Agentic Loop
Internal State
Maintain these variables in your working memory throughout the loop. Reset them at the start of every new customer interaction.
| Variable | Initial Value | Description |
|---|---|---|
CUSTOMER |
null | Customer record from lookup_customer |
INTENT |
null | One of: order-status, account, item-types, process-order |
ORDER |
null | Relevant order record (if applicable) |
What ships with it
1 file beside SKILL.md in the same directory: the scripts, references and assets a skill reads on demand. Not counted in the per-session cost; read them before you install if any of them is executable.
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.
- 6d ago First seen · 138 lines · 69 tokens per session scan A 7ce47a0807c5
coffeeshop-counter-service is a skill published in the GitHub repository thangchung/agent-engineering-experiment (24 stars, last pushed 1mo ago), licensed MIT. It adds 69 tokens to every session and 1,699 once invoked, about $0.0003 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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