ai-meeting-notes

ai-meeting-notes is a skill for Claude Code, Codex from LeoYeAI/openclaw-master-skills. It costs 58 tokens per session (6,516 once invoked), scanned A, original, MIT.

A meeting-notes tool that turns rough notes, transcripts, or other text into a summary with action items, owners, deadlines, and key decisions. It saves the results in searchable files and can track tasks.

In plain words
What is it for?
Use it to process meeting notes, identify decisions and follow-up tasks, assign owners and deadlines, and add selected actions to a to-do list.
Why use it?
It removes the work of reading messy notes and manually extracting who needs to do what by when.

Skill for Claude CodeCodex

Which agent this was written for is unclear — built for openclaw. Also seen: built for openclaw.

Good fit Use it to process meeting notes, identify decisions and follow-up tasks, assign owners and deadlines, and add selected actions to a to-do list.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/leoyeai/openclaw-master-skills/ai-meeting-notes
About the project

OpenClaw Master Skills is a curated, regularly updated collection of skills that extends an AI personal assistant platform with capabilities such as research, browser automation, presentation creation, and prompt work. It is intended for people using OpenClaw or MyClaw.ai to give their agents additional tasks and workflows. The catalogue contains many skills and agents from this collection.

LeoYeAI/openclaw-master-skills · 2,141 stars · on GitHub · myclaw.ai

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 LeoYeAI/openclaw-master-skills --skill ai-meeting-notes
Clone the repo
git clone --depth 1 https://github.com/LeoYeAI/openclaw-master-skills

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 ai-meeting-notes

README.md
[![agentmods](https://agentmods.dev/badge/skills/leoyeai/openclaw-master-skills/ai-meeting-notes/github.svg)](https://agentmods.dev/skills/leoyeai/openclaw-master-skills/ai-meeting-notes)
Your own site
<a href="https://agentmods.dev/skills/leoyeai/openclaw-master-skills/ai-meeting-notes"><img src="https://agentmods.dev/badge/skills/leoyeai/openclaw-master-skills/ai-meeting-notes/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 ai-meeting-notes

Your own site · 80×15
<a href="https://agentmods.dev/skills/leoyeai/openclaw-master-skills/ai-meeting-notes"><img src="https://agentmods.dev/badge/skills/leoyeai/openclaw-master-skills/ai-meeting-notes.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 58 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 6,516 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. Third-party audits
  • NVIDIA SkillSpector pass 7 Sept 2026
How audits are shown
Origin original No closer match found 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 $0.00058 $0.06516
Opus 5 $0.00029 $0.03258
Sonnet 5 $0.00012 $0.01303
Haiku 4.5 $0.00006 $0.00652

Measured 8d ago against content hash 21aca0db7f5e, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-11, from the pricing page.

Security

Grade A, and why

ai-meeting-notes 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 8d 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

Copies of this mod

1 near-identical copy found in the catalogue:

skills/ai-meeting-notes/SKILL.md · 989 lines

How it starts

The opening of the file, as written. The whole thing — 989 lines — stays where its author put it; the contents beside it link to each section on GitHub.

📋 AI Meeting Notes

Messy notes → Clear action items. Instantly.

Paste any meeting notes, transcript, or text. Get a clean summary with action items, owners, and deadlines.

No bot. No subscription. No setup.


⚠️ CRITICAL: RESPONSE FORMAT (READ FIRST)

When extracting meeting notes, you MUST respond with ALL of the following in ONE SINGLE MESSAGE:

━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━
📋 [MEETING TITLE] — [YYYY-MM-DD]
Duration: [X min] | Attendees: [Names]
━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━

SUMMARY
[2-3 sentence overview]

⚡ ACTION ITEMS ([X] of [Total])
1. [ ] @Owner: Task — Deadline
2. [ ] @Owner: Task — Deadline
3. [ ] @Owner: Task — Deadline
4. [ ] @Owner: Task — Deadline
5. [ ] @Owner: Task — Deadline
[Show up to 10, note "(+X more in file)" if more exist]

✅ KEY DECISIONS
• Decision 1
• Decision 2

📎 Saved: meeting-notes/YYYY-MM-DD_topic-name.md

━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━
Add to your to-do list?
• "all" — Add all [X] items
• "1,2,4" — Add specific items
• "none" — Skip

MANDATORY RULES

Rule Requirement
ONE response NEVER split into multiple messages. Display + file + to-do prompt in SINGLE response.
Filename format MUST be YYYY-MM-DD_topic.md — Date FIRST, always. Example: 2026-02-02_anne-call.md
Action items numbered ALWAYS show numbered list (1, 2, 3...) in chat for easy selection
To-do prompt ALWAYS include the "Add to your to-do list?" prompt if action items exist
File attachment ALWAYS attach/save the full .md file

❌ NEVER DO THIS

  • ❌ Send file first, then "Processing...", then "Done" (THREE messages)
  • ❌ Filename without date: anne-call-notes.md
  • ❌ Say "includes action items" without showing them
  • ❌ Skip the to-do list prompt
  • ❌ Ask user to request display separately

✅ ALWAYS DO THIS

  • ✅ ONE message with everything
  • ✅ Filename: 2026-02-02_anne-call.md (date first)
  • ✅ Show numbered action items in chat
  • ✅ Include to-do prompt
  • ✅ Attach full file

Read the full file on GitHub · 989 lines

Files

What ships with it

6 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.

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. 8d ago First seen · 989 lines · 58 tokens per session scan A 21aca0db7f5e

Subscribe to this mod's changes

ai-meeting-notes is a skill published in the GitHub repository LeoYeAI/openclaw-master-skills (2,141 stars, last pushed 1mo ago), licensed MIT. It adds 58 tokens to every session and 6,516 once invoked, about $0.0003 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 2026-09-03.

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