What is meeting-prep?

A Russian-language workflow for preparing meetings and calls, covering the agenda, questions, notes, decisions, action items, and follow-up message.

Preparing client, colleague, investor, or partner meetings; generating agendas and questions; taking structured notes; and writing follow-up actions after the meeting.

It turns a vague meeting goal into a timed discussion plan and a record of what was decided. It also reserves time for next steps so responsibilities and deadlines are captured.

meeting-prep — Skill for Claude Code and Codex by AlekseiUL

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 AlekseiUL/openclaw-superagent --skill meeting-prep

Clone the repo

git clone --depth 1 https://github.com/AlekseiUL/openclaw-superagent

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.

README.md

[![agentmods](https://agentmods.dev/badge/skills/alekseiul/openclaw-superagent/meeting-prep/github.svg)](https://agentmods.dev/skills/alekseiul/openclaw-superagent/meeting-prep)

Your own site

<a href="https://agentmods.dev/skills/alekseiul/openclaw-superagent/meeting-prep"><img src="https://agentmods.dev/badge/skills/alekseiul/openclaw-superagent/meeting-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.

Your own site · 80×15

<a href="https://agentmods.dev/skills/alekseiul/openclaw-superagent/meeting-prep"><img src="https://agentmods.dev/badge/skills/alekseiul/openclaw-superagent/meeting-prep.svg" alt="Reviewed on agentmods" width="80" height="20"></a>

Per session 55 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.

When invoked 716 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 100% copy Near-identical to another mod 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.

Model	Per session	Once invoked
Fable 5.1	$0.00055	$0.00716
Opus 5	$0.00028	$0.00358
Sonnet 5	$0.00011	$0.00143
Haiku 4.5	$0.00006	$0.00072

Measured 10d ago against content hash e36016efa93e, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-09, from the pricing page.

Security

Grade A, and why

meeting-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 10d 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.

Origin

This is a copy

100% identical to meeting-prep — 0 lines differ, which has more behind it and is treated as the original. This page carries a canonical link to it rather than competing with it.

skills/agent-forge/examples/meeting-prep/SKILL.md · 98 lines

What it actually says

Meeting Prep

Помогает подготовиться к встречам: agenda, ключевые вопросы, шаблон заметок, follow-up. Тип: Workflow с Progressive Disclosure.

Алгоритм

Шаг 1. Контекст встречи

Спроси (по одному):

С кем встреча? (клиент / коллега / инвестор / партнёр)
Тема/цель?
Сколько времени? (15 мин / 30 мин / 60 мин)
Первая встреча или повторная?

Шаг 2. Agenda

Сгенерируй agenda по формату:

## Agenda: [тема]
Дата: [дата] | Время: [длительность]
Участники: [список]

1. [Тема блока] (X мин)
   - Ключевой вопрос
2. [Тема блока] (X мин)
   - Ключевой вопрос
3. Next steps (5 мин)

Правила:

Последние 5 минут ВСЕГДА на next steps
Не больше 4-5 блоков на 30-минутную встречу
Каждый блок = один ключевой вопрос

Шаг 3. Подготовительные вопросы

Предложи 3-5 вопросов которые стоит задать. Два типа:

Открытые (для понимания): "Как вы видите..."
Конкретные (для решений): "Какой дедлайн по..."

Шаг 4. Шаблон заметок

## Заметки: [тема] - [дата]

### Присутствовали
- 

### Ключевые решения
1. 
2. 

### Действия (кто / что / когда)
1. [ ] 
2. [ ] 

### Открытые вопросы
-

Шаг 5. Follow-up (после встречи)

Если пользователь говорит "встреча прошла" или делится заметками:

Сформируй follow-up сообщение (email/сообщение)
Выдели action items с ответственными и дедлайнами
Предложи дату следующей встречи если нужно

Детали по типам встреч (клиент, инвестор, 1-on-1) - см. references/ когда появятся.

Примеры

Запрос: "Готовлюсь к звонку с клиентом, 30 минут, обсуждаем новый проект"

Ответ:

## Agenda: Обсуждение нового проекта
Время: 30 мин

1. Контекст и цели проекта (10 мин)
   - Какую проблему решаем?
2. Объём работ и ожидания (10 мин)
   - Что входит в MVP?
3. Сроки и бюджет (5 мин)
   - Когда нужен результат?
4. Next steps (5 мин)

Вопросы к клиенту:
- Кто принимает финальное решение?
- Есть ли жёсткий дедлайн?
- Какой бюджет рассматриваете?

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.

10d ago First seen · 98 lines · 55 tokens per session scan A e36016efa93e

Subscribe to this mod's changes

meeting-prep is a skill published in the GitHub repository AlekseiUL/openclaw-superagent (41 stars, last pushed 3mo ago), licensed MIT. It adds 55 tokens to every session and 716 once invoked, about $0.0003 per session on Opus 5. A static security scan graded it A with 0 findings. It is 100% identical to meeting-prep, differing in 0 lines, and is treated as a copy.

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