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.
git clone --depth 1 https://github.com/alifanov/ai-garage-launchWrote 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/commands/alifanov/ai-garage-launch/scaffold)<a href="https://agentmods.dev/commands/alifanov/ai-garage-launch/scaffold"><img src="https://agentmods.dev/badge/commands/alifanov/ai-garage-launch/scaffold/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/commands/alifanov/ai-garage-launch/scaffold"><img src="https://agentmods.dev/badge/commands/alifanov/ai-garage-launch/scaffold.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 | $0.00025 | $0.00339 |
| Opus 5 | $0.00013 | $0.00169 |
| Sonnet 5 | $0.00005 | $0.00068 |
| Haiku 4.5 | $0.00003 | $0.00034 |
Grade A, and why
scaffold 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.
What it actually says
/garage:scaffold — создаём приложение
Предусловия
Прочитай docs/04-product.md (бриф). Нет — скажи запустить /garage:spec.
Что сделать
Опирайся на скилл stack-reference. Создай приложение в текущей папке:
- Next.js (App Router) + TypeScript + Tailwind CSS + shadcn/ui
- Стартовая страница = лендинг продукта из брифа (
docs/04-product.md): заголовок, подзаголовок, CTA, блок «одна фича». - Заглушка под основную фичу (сам экран/флоу — итеративно).
Порядок: создать проект → настроить Tailwind → поставить shadcn/ui → собрать лендинг → проверить npm run dev локально.
Ничего необратимого: всё локально. Секреты/деплой — на следующих шагах.
Артефакт
Запиши в docs/05-build.md: стек, структура проекта, что на лендинге, команда локального запуска, что осталось доделать по фиче. Обнови docs/STATE.md: шаг 5 [x].
➡️ Дальше
/garage:deploy — GitHub-репозиторий + Vercel + домен → боевой URL.
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.
- 9d ago First seen · 30 lines · 25 tokens per session scan A 2a49ee1db930
scaffold is a command published in the GitHub repository alifanov/ai-garage-launch (2 stars, last pushed 1mo ago), licensed MIT. It adds 25 tokens to every session and 339 once invoked, about $0.0001 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 2026-08-31.
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