unit-economics

unit-economics is a skill for Claude Code from alifanov/ai-garage-launch. It costs 73 tokens per session (519 once invoked), scanned A, original, MIT.

A guide to measuring how people discover, use, and pay for a product. It explains metrics such as CAC, LTV, retention, cohorts, and UTM tracking.

In plain words
What is it for?
Use it to set up product and traffic measurement, compare customer acquisition cost with customer value, and track whether users return.
Why use it?
It shows where people drop out of the path from visitor to buyer and which marketing sources lead to real conversions.

Skill for Claude Code

Written for Claude Code: shipped in a Claude Code plugin.

Part of the garage plugin — 4 skills, 12 commands, 2 agents shipped together

Good fit Use it to set up product and traffic measurement, compare customer acquisition cost with customer value, and track whether users return.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/alifanov/ai-garage-launch/unit-economics
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 alifanov/ai-garage-launch --skill unit-economics
Clone the repo
git clone --depth 1 https://github.com/alifanov/ai-garage-launch

Made for: Claude Code.

Or install garage, the plugin that ships this one along with the rest of its 4 skills, 12 commands, 2 agents.

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 unit-economics

README.md
[![agentmods](https://agentmods.dev/badge/skills/alifanov/ai-garage-launch/unit-economics/github.svg)](https://agentmods.dev/skills/alifanov/ai-garage-launch/unit-economics)
Your own site
<a href="https://agentmods.dev/skills/alifanov/ai-garage-launch/unit-economics"><img src="https://agentmods.dev/badge/skills/alifanov/ai-garage-launch/unit-economics/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 unit-economics

Your own site · 80×15
<a href="https://agentmods.dev/skills/alifanov/ai-garage-launch/unit-economics"><img src="https://agentmods.dev/badge/skills/alifanov/ai-garage-launch/unit-economics.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 73 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 519 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 $0.00073 $0.00519
Opus 5.5 $0.00029 $0.00208
Sonnet 5.5 $0.00015 $0.00104
Haiku 4.5 $0.00007 $0.00052

Measured 2mo ago against content hash adf3b4f784dc, method: parsed. Prices are Anthropic first-party input rates as of 2026-10-07, from the pricing page.

Security

Grade A, and why

unit-economics 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 2mo 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.

skills/unit-economics/SKILL.md · 46 lines

What it actually says

Аналитика и юнит-экономика

Без аналитики ты гадаешь. Ставим с первого дня, разбираем после запуска трафика.

Воронка продукта

visitors ──► users ──► buyers
(зашли)   (регались) (заплатили)

Задача — найти где именно проседает и работать над этим местом. Не над всем сразу.

Ключевые метрики

Метрика Формула Ориентир
CAC — стоимость привлечения потрачено на канал / число клиентов чем ниже, тем лучше
LTV — ценность клиента средний чек × срок жизни клиента > CAC
LTV/CAC — главный коэффициент LTV / CAC ≥ 3 здорово; < 1 убыток
Retention вернувшиеся / когорта растёт или выходит на плато

Retention подробнее

  • DAU / WAU / MAU — активные за день/неделю/месяц.
  • Когорты — группируем по дате регистрации, смотрим кто возвращается.
  • Retention curve — доля активных на день N. Плоское плато = продукт «прилип».

UTM

Размечай все внешние ссылки: utm_source, utm_medium, utm_campaign. Тогда видно, какой источник реально приносит конверсии, а не просто клики.

Инструменты

  • Plausible — трафик, источники, цели, страны/устройства. Лёгкий, GDPR-friendly.
  • PostHog — продуктовые события, воронки, когорты, retention. Можно оба.

Вывод команды metrics

1–3 конкретных действия: починить узкое место воронки / убить неэффективную UTM-кампанию / усилить работающий источник.

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. 2mo ago First seen · 46 lines · 73 tokens per session scan A adf3b4f784dc

Subscribe to this mod's changes

unit-economics is a skill published in the GitHub repository alifanov/ai-garage-launch (2 stars, last pushed 3mo ago), licensed MIT. It adds 73 tokens to every session and 519 once invoked, about $0.0003 per session on Opus 5.5. 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 2026-08-31.

Related

unit-economics compared with skills from other repositories

unit-economics next to 6 skills from other repositories
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