agentmods.dev

meeting-prep

meeting-prep is a skill for Claude Code, Codex from AlekseiUL/openclaw-superagent. It costs 55 tokens per session (716 once invoked), scanned A, a copy of meeting-prep, MIT.

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

In plain words
What is it for?
Preparing client, colleague, investor, or partner meetings; generating agendas and questions; taking structured notes; and writing follow-up actions after the meeting.
Why use it?
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.

Skill for Claude CodeCodex

Written for no agent in particular: nothing here depends on one.

not rated 41repo yesterday A scan 55 tokens copy · 100% MIT

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

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/alekseiul/openclaw-superagent/meeting-prep
View source ↗ AlekseiUL/openclaw-superagent t.me
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.

agentmods badge for meeting-prep

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.

agentmods 80×15 button for meeting-prep

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.

ModelPer sessionOnce invoked
Fable 5.1 $0.00055 $0.00716
Opus 5.5 $0.00022 $0.00286
Sonnet 5.5 $0.00011 $0.00143
Haiku 4.5 $0.00006 $0.00072

Measured 1mo ago against content hash e36016efa93e, method: parsed. Prices are Anthropic first-party input rates as of 2026-10-07, 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 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.

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):

  1. С кем встреча? (клиент / коллега / инвестор / партнёр)
  2. Тема/цель?
  3. Сколько времени? (15 мин / 30 мин / 60 мин)
  4. 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:

  1. Сформируй follow-up сообщение (email/сообщение)
  2. Выдели action items с ответственными и дедлайнами
  3. 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.

  1. 1mo 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 yesterday), licensed MIT. It adds 55 tokens to every session and 716 once invoked, about $0.0002 per session on Opus 5.5. 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.

PlanningProductivityagent-memoryagent-orchestrationagent-skillsai-agentsai-assistantautomation
Related

Other skills, from other repositories

material-organizer

Organize only the materials the user has already provided or explicitly pointed to. The job is to make messy inputs easier to scan, reuse, archive, or continue from later while preserving source traceability.

Orkas-AI/Orkas · 3 tokens

kungfu-agent-onboarding

Use when a user asks to understand, start, inspect, extend, or safely operate installed Kungfu; verify the installed pack, select one intent route, personalize the explanation, and propose one smallest safe next action.

kungfu-systems/kungfu · 49 tokens

cmux

Optional, only for cmux users: tabs, splits, parallel agents, workplace driver, restoring lost workspaces from layout snapshots. Trigger: "new tab", "split pane", "parallel agent", "workspaces lost", "restore cmux layout". Trap: "tab" = surface, not workspace.

bks-lab/open-bridge · 65 tokens

bridge-greeting

Context-aware terminal greeting (MOTD) for Bridge instances: renders a per-instance logo, palette, today's calendar and the "Doing" board, resolved from which org folder the terminal opened in. Includes gen-logo.py (ANSI-Shadow generator). Trigger: "/bridge-greeting", "terminal greeting", "motd", "startup logo"…

bks-lab/open-bridge · 86 tokens

briefing

Daily briefing from your own profile (workflow/briefings/ .yaml: sections, trackers incl. GitHub/Jira/GitLab/ADO/Linear, inbox rules): inbox first, then steer the day (approve, defer, drop, open agent tabs). /briefing picks a profile. Trigger: "/briefing", "briefing", "good morning", "daily standup", "what needs me"…

bks-lab/open-bridge · 99 tokens

mail-draft

Drafts outgoing email and never sends: Markdown to mail-safe HTML themed from DESIGN.md, footers from identity/mail-footers/, occasions from workflow/mail-profiles/, recipients from mandants, preflight checks; Apple Mail, Outlook or .eml. Trigger: "draft an email", "mail to", "email draft", "mail footer", "email…

bks-lab/open-bridge · 82 tokens