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 thangchung/agent-engineering-experiment --skill coffeeshop-counter-servicegit 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-counter-service)<a href="https://agentmods.dev/skills/thangchung/agent-engineering-experiment/coffeeshop-counter-service"><img src="https://agentmods.dev/badge/skills/thangchung/agent-engineering-experiment/coffeeshop-counter-service/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/thangchung/agent-engineering-experiment/coffeeshop-counter-service"><img src="https://agentmods.dev/badge/skills/thangchung/agent-engineering-experiment/coffeeshop-counter-service.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 | $0.00031 | $0.00269 |
| Opus 5 | $0.00015 | $0.00134 |
| Sonnet 5 | $0.00006 | $0.00054 |
| Haiku 4.5 | $0.00003 | $0.00027 |
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 11d 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.
What it actually says
Coffee Shop Order Submission Skill
Data Access
| Action | MCP tool | CLI fallback |
|---|---|---|
lookup_customer |
customer_lookup |
Coffeeshop-Cli models query Customer ... --json |
list_menu |
menu_list_items |
Coffeeshop-Cli models browse MenuItem --json |
submit_order |
order_submit |
Coffeeshop-Cli models submit Order --json |
Agentic Loop
- INTAKE — Identify customer.
- CLASSIFY INTENT —
account | item-types | process-order | order-status. - REVIEW & CONFIRM — Build items + total. Show summary. Require explicit confirmation.
- FINALIZE — Submit. Return order ID, total, ETA.
Safety Notes
- Never invent unavailable menu items.
- Never finalize before user confirmation.
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.
- 11d ago First seen · 35 lines · 31 tokens per session scan A 11114d901576
coffeeshop-counter-service is a skill published in the GitHub repository thangchung/agent-engineering-experiment (25 stars, last pushed 1mo ago), licensed MIT. It adds 31 tokens to every session and 269 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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