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 ilyautov/small-business-ru --skill invoice-chasegit clone --depth 1 https://github.com/ilyautov/small-business-ruWrote 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/ilyautov/small-business-ru/invoice-chase)<a href="https://agentmods.dev/skills/ilyautov/small-business-ru/invoice-chase"><img src="https://agentmods.dev/badge/skills/ilyautov/small-business-ru/invoice-chase/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/ilyautov/small-business-ru/invoice-chase"><img src="https://agentmods.dev/badge/skills/ilyautov/small-business-ru/invoice-chase.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 | $0.00194 | $0.02678 |
| Opus 5.5 | $0.00078 | $0.01071 |
| Sonnet 5.5 | $0.00039 | $0.00536 |
| Haiku 4.5 | $0.00019 | $0.00268 |
Grade A, and why
invoice-chase 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 1mo 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.
How it starts
The opening of the file, as written. The whole thing — 127 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Работа с дебиторкой (напоминания об оплате)
Деньги, которые вам должны, лежат у клиентов, а не у вас на счету — и каждый день просрочки это либо забытый счёт, либо неудобный разговор, который никто не хочет начинать. Этот скилл берёт неудобную часть на себя: сам поднимает просроченные счета, подбирает тон под каждого должника и приоритизирует тех, чья оплата закрывает ближайший кассовый разрыв. Ничего не уходит без вашего «ок».
Быстрый старт
Подтяните отчёт по дебиторке, оцените каждого клиента по истории платежей, подготовьте напоминание под тон каждого просроченного счёта и покажите владельцу. Ничего не уходит, пока владелец не подтвердит.
Владелец: «кто мне должен»
→ Подтянуть дебиторку из ~~бухгалтерии
→ Сверить с поступлениями из ~~платежей (последние 14 дней)
→ Оценить клиента: добросовестный / иногда задерживает / хронический неплательщик
→ Подготовить напоминания под тон
→ Показать сводную таблицу + черновики. Ждать «отправляй».
Проактивный режим и приоритизация по кассе
Навык работает не только по запросу, но и проактивно — в составе еженедельного брифа или когда прогноз денег (cash-flow-snapshot) показал кассовый разрыв.
Приоритизация по кассовому разрыву (связка с cash-flow-snapshot):
- Если прогноз денег показал нехватку на конкретную дату (например, аванс УСН 28.07) — не дёргай всех должников подряд. Найди клиентов, чья ожидаемая оплата закрывает именно этот разрыв, и подними их наверх очереди.
- Формулируй цель деньгами: «Чтобы закрыть разрыв 47 000 ₽ на 28.07, достаточно дожать оплату от „Альфы" (400 000 ₽) на 10 дней раньше обычного — это единственный клиент, чья оплата решает проблему к сроку.»
- Сортируй очередь не по размеру долга, а по вкладу в закрытие ближайшего кассового разрыва × вероятности оплаты (по истории клиента).
Проактивный триггер: в еженедельном брифе сам подними просроченную дебиторку и свяжи её с ближайшими обязательными выплатами (налоги, зарплата). Не жди вопроса «кто мне должен».
What ships with it
4 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.
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.
- 1mo ago Changed · +1 lines 176e01902f3b
- 1mo ago First seen · 126 lines · 194 tokens per session scan A e1b8201096af
invoice-chase is a skill published in the GitHub repository ilyautov/small-business-ru (28 stars, last pushed 28d ago), licensed Apache-2.0. It adds 194 tokens to every session and 2,678 once invoked, about $0.0008 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 2026-08-30.
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