notion-meeting-intelligence

notion-meeting-intelligence is a skill for Claude Code, Codex from makenotion/notion-cookbook. It costs 55 tokens per session (1,051 once invoked), scanned A, original, MIT.

A meeting-preparation assistant that gathers related Notion notes, adds outside context, and creates an internal briefing and a participant-facing agenda.

In plain words
What is it for?
Use it to prepare for internal or external meetings by organizing attendees, goals, project context, research, reading material, and an agenda in Notion.
Why use it?
It removes the manual work of collecting background information and turning it into separate documents for preparation and discussion.

Skill for Claude CodeCodex

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

Good fit Use it to prepare for internal or external meetings by organizing attendees, goals, project context, research, reading material, and an agenda in Notion.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/makenotion/notion-cookbook/meeting-intelligence
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 makenotion/notion-cookbook --skill meeting-intelligence
Clone the repo
git clone --depth 1 https://github.com/makenotion/notion-cookbook

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 notion-meeting-intelligence

README.md
[![agentmods](https://agentmods.dev/badge/skills/makenotion/notion-cookbook/meeting-intelligence/github.svg)](https://agentmods.dev/skills/makenotion/notion-cookbook/meeting-intelligence)
Your own site
<a href="https://agentmods.dev/skills/makenotion/notion-cookbook/meeting-intelligence"><img src="https://agentmods.dev/badge/skills/makenotion/notion-cookbook/meeting-intelligence/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 notion-meeting-intelligence

Your own site · 80×15
<a href="https://agentmods.dev/skills/makenotion/notion-cookbook/meeting-intelligence"><img src="https://agentmods.dev/badge/skills/makenotion/notion-cookbook/meeting-intelligence.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 1,051 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 $0.00055 $0.01051
Opus 5.5 $0.00022 $0.00420
Sonnet 5.5 $0.00011 $0.00210
Haiku 4.5 $0.00006 $0.00105

Measured 21d ago against content hash 94632e5dc569, method: parsed. Prices are Anthropic first-party input rates as of 2026-10-07, from the pricing page.

Security

Grade A, and why

notion-meeting-intelligence 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 21d 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/mcp-clients/meeting-intelligence/SKILL.md · 89 lines

How it starts

The opening of the file, as written. The whole thing — 89 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Meeting intelligence

Prepare materials that help participants reach the meeting's intended outcome. Support both a concise agenda and a detailed internal pre-read without requiring both for every meeting.

Workflow

  1. Establish scope. Use known purpose, date, duration, attendees, audience, and project. Ask only for details that materially affect preparation. Honor requests for an agenda, pre-read, both, or a chat brief. For unspecified preparation, start with an agenda; add a separate pre-read when substantial background or internal-only strategy makes it useful. Do not invent meeting details.
  2. Gather relevant evidence. Fetch supplied pages directly. Otherwise search for the project or meeting, then fetch the most relevant matches. For recurring meetings, carry forward unresolved decisions and actions from previous notes. Retrieve task data or metrics only when needed; reuse sources already read. Expand retrieval to fill material gaps, not to meet a source-count target.
  3. Develop the brief. Extract status, changes, decisions, blockers, and open questions with source links. Distinguish source facts from your analysis and suggested frameworks. Research current company, competitor, or industry facts with available search tools when relevant; cite evidence. If research is unavailable, state the gap instead of presenting model knowledge as current research. Do not add generic industry context just to fill a section.
  4. Prepare the requested materials. Use the structures below or load one matching template. Scale depth to the meeting's importance and available time. Keep the agenda's time allocations within the known duration. Show unknown owners, dates, and metrics as unknown rather than guessing.
  5. Deliver or save. Treat draft status separately from destination: save a draft in Notion when requested, using the database's draft status if applicable. Keep chat-only or explicitly unsaved drafts in chat. For Notion output, use the supplied destination or an established meeting location; resolve material ambiguity before writing. Fetch a database schema once if needed. Update an existing meeting document when appropriate. Check write results and return links, noting incomplete work; read back an update if its result is unclear.

Read the full file on GitHub · 89 lines

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. 21d ago Changed · -209 lines · +5 tokens per session 94632e5dc569
  2. 1mo ago First seen · 298 lines · 50 tokens per session scan A 8abefc02d5e2

Subscribe to this mod's changes

notion-meeting-intelligence is a skill published in the GitHub repository makenotion/notion-cookbook (220 stars, last pushed today), licensed MIT. It adds 55 tokens to every session and 1,051 once invoked, about $0.0002 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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