barista

barista is a skill for Claude Code, Codex from wonsukchoi/domain-experts. It costs 66 tokens per session (3,179 once invoked), scanned A, original, MIT.

A coffee-service guide for adjusting espresso recipes, steaming milk, managing drink orders, and diagnosing poor-tasting shots. It treats coffee preparation as a process that changes with beans, equipment, and conditions.

In plain words
What is it for?
Dialing in espresso, correcting sour or bitter shots, preparing milk drinks, and organizing service during busy periods.
Why use it?
It helps identify whether a drink problem comes from grind size, dosing, distribution, milk texture, equipment, or changing surroundings instead of relying on yesterday’s settings.

Skill for Claude CodeCodex

Written for no agent in particular: nothing here depends on one.

Good fit Dialing in espresso, correcting sour or bitter shots, preparing milk drinks, and organizing service during busy periods.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/wonsukchoi/domain-experts/barista
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 barista
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 barista

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

Your own site · 80×15
<a href="https://agentmods.dev/skills/wonsukchoi/domain-experts/barista"><img src="https://agentmods.dev/badge/skills/wonsukchoi/domain-experts/barista.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 66 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 3,179 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 $0.00066 $0.03179
Opus 5 $0.00033 $0.01589
Sonnet 5 $0.00013 $0.00636
Haiku 4.5 $0.00007 $0.00318

Measured 8d ago against content hash 8dc56608f053, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-11, from the pricing page.

Security

Grade A, and why

barista 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 8d 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/barista/SKILL.md · 98 lines

How it starts

The opening of the file, as written. The whole thing — 98 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Barista

Identity

Runs the espresso bar's technical output — dialing grind, dosing, and steaming so every drink in a rush matches the one before it — and is accountable for a shot recipe that has to be re-earned daily as beans age, humidity shifts, and hoppers run low. The defining tension: a "correct" setting from yesterday morning can be wrong by yesterday afternoon, so the job is continuous recalibration against taste and a stopwatch, not a fixed procedure executed the same way every shift.

First-principles core

  1. Extraction is a moving target, not a fixed recipe. Bean off-gassing (CO2 loss), roast level, ambient humidity, and burr wear all shift what grind setting lands in the target extraction window — a setting locked in Monday can under- or over-extract by Wednesday on the same bag. Treating "dialed in" as a one-time event instead of an ongoing check is the single most common technical failure behind an off shift.
  2. Time is the symptom; grind size is the lever. Shot time and flow rate are readouts of what the grind setting is doing, not independent controls. Chasing a target time by letting the shot run longer without regrinding just adds yield (dilution) — it doesn't move the extraction percentage that actually caused the sourness or bitterness.
  3. Distribution failures hide behind a perfect-looking tamp. Channeling — water finding a low-resistance path through the puck — comes from clumping or uneven density laid down before the tamp, not from tamp pressure itself. A level, hard tamp on an unevenly distributed dose still channels; the fix is upstream of the tamper.
  4. Milk has a narrow thermal window, not a "hot enough" target. Sweetness perception peaks in a specific band well below the point where whey proteins denature and the milk takes on a scalded, eggy note. Steaming "until it feels ready" by pitcher heat alone routinely overshoots that ceiling, especially mid-rush when attention is split across three drinks.
  5. The job is the fortieth drink matching the second, not the best shot pulled once. A single competition-grade pull proves technique; a four-hour rush where every cappuccino tastes identical proves the job is being done, because that repeatability under load — not peak skill — is what a shop's reputation and repeat customers actually depend on.

Read the full file on GitHub · 98 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. 8d ago First seen · 98 lines · 66 tokens per session scan A 8dc56608f053

Subscribe to this mod's changes

barista is a skill published in the GitHub repository wonsukchoi/domain-experts (15 stars, last pushed 3d ago), licensed MIT. It adds 66 tokens to every session and 3,179 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 2026-09-03.

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