coin-vending-amusement-machine-servicer

coin-vending-amusement-machine-servicer is a skill for Claude Code, Codex from wonsukchoi/domain-experts. It costs 93 tokens per session (3,498 once invoked), scanned A, original, MIT.

A route-service guide for vending, coin-operated, and amusement machines, covering faults, restocking, cash handling, and route economics.

In plain words
What is it for?
It is for diagnosing coin and bill-acceptor faults, planning stock levels, checking cash collection, and deciding which route problems need attention first.
Why use it?
It helps separate the real cause of a machine problem from its error message and balance repair work against sales, spoilage, and service-trip costs.

Skill for Claude CodeCodex

Written for no agent in particular: nothing here depends on one. Also seen: positional $N argument.

Good fit It is for diagnosing coin and bill-acceptor faults, planning stock levels, checking cash collection, and deciding which route problems need attention first.

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Install with agentmods
npx agentmods add skills/wonsukchoi/domain-experts/coin-vending-amusement-machine-servicer
Install

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.

Any agent
npx skills add wonsukchoi/domain-experts --skill coin-vending-amusement-machine-servicer
Clone the repo
git clone --depth 1 https://github.com/wonsukchoi/domain-experts

Made for: Claude Code, Codex.

Wrote 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.

agentmods badge for coin-vending-amusement-machine-servicer

README.md
[![agentmods](https://agentmods.dev/badge/skills/wonsukchoi/domain-experts/coin-vending-amusement-machine-servicer/github.svg)](https://agentmods.dev/skills/wonsukchoi/domain-experts/coin-vending-amusement-machine-servicer)
Your own site
<a href="https://agentmods.dev/skills/wonsukchoi/domain-experts/coin-vending-amusement-machine-servicer"><img src="https://agentmods.dev/badge/skills/wonsukchoi/domain-experts/coin-vending-amusement-machine-servicer/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.

agentmods 80×15 button for coin-vending-amusement-machine-servicer

Your own site · 80×15
<a href="https://agentmods.dev/skills/wonsukchoi/domain-experts/coin-vending-amusement-machine-servicer"><img src="https://agentmods.dev/badge/skills/wonsukchoi/domain-experts/coin-vending-amusement-machine-servicer.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 93 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 3,498 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. A grade says what 26 rules found in the file — not that it is safe.
Origin original No closer match found in the catalogue.
Token cost

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.

ModelPer sessionOnce invoked
Fable 5.1 $0.00093 $0.03498
Opus 5 $0.00046 $0.01749
Sonnet 5 $0.00019 $0.00700
Haiku 4.5 $0.00009 $0.00350

Measured 9d ago against content hash 0435ec000748, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-12, from the pricing page.

Security

Grade A, and why

coin-vending-amusement-machine-servicer 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 9d 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.

roles/coin-vending-amusement-machine-servicer/SKILL.md · 99 lines

How it starts

The opening of the file, as written. The whole thing — 99 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Coin, Vending, and Amusement Machine Servicer and Repairer

Identity

Route technician who carries a fleet of 20–30 machines across several stops — snack, cold-drink, coffee, and refrigerated fresh-food vending, plus bill validators, coin mechanisms, and arcade/amusement units — visited on a fixed twice-weekly or thrice-weekly cycle. Ten-plus years in means the job stopped being "fix what's broken" around year two: every stop is a small logistics account with its own velocity, cash flow, and spoilage risk, and the machines are just the interface to it. The defining tension: uptime and cash integrity look like the job, but the actual job is the route's economics — restocking too early wastes a trip, restocking too late loses sales or spoils food, and a machine that never breaks can still be quietly losing money if nobody's watching the numbers behind it.

First-principles core

  1. A jam or fault code names a symptom, not a mechanism. The same "coin jam" alarm on a route can mean a bent token, a worn coin-path sensor, or a debris-clogged hopper, and each has a different fix. Opening the mechanism before pulling the machine's own diagnostic counter or accept/reject log means guessing with the cover already off.
  2. Restocking is a forecasting problem before it's a checklist. Filling every slot to capacity on every visit isn't service, it's a default that ignores velocity — a slow slot overstocked wastes shelf life and cash tied up in inventory, a fast slot understocked sits empty for part of the cycle and loses sales that don't come back.
  3. Route profitability is a per-stop number, not a fleet-uptime number. A machine running at 100% uptime at a low-traffic stop can still be a net drag once drive time and fuel are amortized against that stop's revenue — uptime measures the machines, not the account, and the two diverge more often than dispatch reports show.
  4. A cash variance is data, not noise. Vend counts and cash counts are supposed to reconcile within a tight band; when they don't, the gap is either a counting error, a jammed coin mechanism silently under-crediting, or an actual custody problem, and treating every small miss as "close enough" is how real shrinkage hides inside rounding.
  5. A logged temperature/time excursion on perishable product is a discard trigger, not a judgment call. Once a refrigerated slot has held time/temperature-control-for-safety (TCS) product above the safe holding temperature past the documented allowance, the product is discarded regardless of how it looks or smells — the liability sits on the excursion log, not on a sensory check performed after the fact.

Read the full file on GitHub · 99 lines

Files

What ships with it

3 files 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.

Changes

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.

  1. 9d ago First seen · 99 lines · 93 tokens per session scan A 0435ec000748

Subscribe to this mod's changes

coin-vending-amusement-machine-servicer is a skill published in the GitHub repository wonsukchoi/domain-experts (15 stars, last pushed 4d ago), licensed MIT. It adds 93 tokens to every session and 3,498 once invoked, about $0.0005 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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