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 tonydzi/second-brain-starter-kit --skill call-prepgit clone --depth 1 https://github.com/tonydzi/second-brain-starter-kitWrote 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/tonydzi/second-brain-starter-kit/call-prep)<a href="https://agentmods.dev/skills/tonydzi/second-brain-starter-kit/call-prep"><img src="https://agentmods.dev/badge/skills/tonydzi/second-brain-starter-kit/call-prep/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/tonydzi/second-brain-starter-kit/call-prep"><img src="https://agentmods.dev/badge/skills/tonydzi/second-brain-starter-kit/call-prep.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 | $0.00101 | $0.02572 |
| Opus 5.5 | $0.00040 | $0.01029 |
| Sonnet 5.5 | $0.00020 | $0.00514 |
| Haiku 4.5 | $0.00010 | $0.00257 |
Grade A, and why
call-prep scanned grade A with 0 findings against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 22d ago.
A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.
Nothing flagged
None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.
How it starts
The opening of the file, as written. The whole thing — 103 lines — stays where its author put it; the contents beside it link to each section on GitHub.
/call-prep — подготовь меня к звонку
🧒 Доклад Антону кончается блоком «Простыми словами» ([[eli5-always]]).
Боль (14.09.2026): «у меня звонок с каким-то Барри, кто он». Сессия пошла в волт+Telegram, нашла 12 Барри и подготовила НЕ того. Верный лежал в ящике bb одним письмом Calendly «New Event: [человек] [человек] - 20:30 Mon, 14 Sep 2026 - 1-on-1 with Tony» с email, телефоном, TG-хендлом из формы и Meet-ссылкой. Антон: «первым делом календарь, потом почта; у нас есть ещё Calendly».
Закон скилла: имя без брони = НЕ идентификация. Сначала бронь → ключи (email · телефон · TG-хендл из формы) → только по КЛЮЧУ ищем человека в волте/CRM/Telegram. Совпадение по имени не считается.
Пути: VAULT=${OBSIDIAN_VAULT:-$HOME/Obsidian/<vault>}, IMP=${IMPORTS_ROOT:-$HOME/Obsidian/_imports}.
Шаг 1. Двери брони — строго по порядку, первая живая даёт истину
1а. Calendly-коннектор (истина броней, аккаунт paloaltolab) — нужен Claude
meetings-list_events (окно сегодня−завтра) → list_event_invitees по event_uri → ответы формы (TG-хендл).
Проверка наличия: ToolSearch «calendly» / «meetings».
- [машина флота] ([машина флота]), замер 14.09.2026: ToolSearch «calendly meetings list_events invitees» и «+meetings» → коннектора НЕТ. Живёт на хабе. Нет коннектора → не стоп, иди дальше.
1б. Снимок Calendly для call_reminders
python3 $IMP/crm-engine/call_reminders.py --calendly $IMP/crm-engine/reports/calendly-bookings.json
(брифинг окна 24ч/1ч, время в поясе Антона и гостя; паспорт ~/.claude/scripts/docs/call-reminders.md).
Снимок пишет тот, у кого есть Calendly MCP (рутина inbound-triage-daily, шаг 6а, на хабе).
Ключ связи бронь↔CRM = TG-хендл, который лид сам написал в форме.
- [машина флота], замер 14.09.2026:
--helpотвечает, но файлаreports/calendly-bookings.jsonна узле НЕТ → дверь пустая. Проверь возраст файла (pulled_at), если он есть; старше суток = подсказка, не истина.
1в. Google Calendar [рабочий аккаунт]
python3 $IMP/call-bot/gcal_events.py
- [машина флота], замер 14.09.2026:
NOT AUTHORIZED: no calendar token for 'bb' — run: python gcal_auth.py bb. Не авторизовано на [машина флота]. Сам не авторизую (нужен человек в браузере) — строка в «НЕ проверено». В живой сессии с коннектором Google Calendar (нужен Claude) —list_eventsпо [рабочий аккаунт]@gmail.com, Europe/Lisbon.
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.
- 22d ago Changed dad8d37f05a0
- 28d ago First seen · 103 lines · 101 tokens per session scan A e9c91473c4f3
call-prep is a skill published in the GitHub repository tonydzi/second-brain-starter-kit (12 stars, last pushed 3d ago), licensed MIT. It adds 101 tokens to every session and 2,572 once invoked, about $0.0004 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 2026-09-24.
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