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 seaworld008/Commonly-used-high-value-skills --skill notion-meeting-intelligencegit clone --depth 1 https://github.com/seaworld008/Commonly-used-high-value-skillsWrote 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/seaworld008/commonly-used-high-value-skills/notion-meeting-intelligence)<a href="https://agentmods.dev/skills/seaworld008/commonly-used-high-value-skills/notion-meeting-intelligence"><img src="https://agentmods.dev/badge/skills/seaworld008/commonly-used-high-value-skills/notion-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.
<a href="https://agentmods.dev/skills/seaworld008/commonly-used-high-value-skills/notion-meeting-intelligence"><img src="https://agentmods.dev/badge/skills/seaworld008/commonly-used-high-value-skills/notion-meeting-intelligence.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- NVIDIA SkillSpector pass
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 | $0.00019 | $0.01322 |
| Opus 5 | $0.00010 | $0.00661 |
| Sonnet 5 | $0.00004 | $0.00264 |
| Haiku 4.5 | $0.00002 | $0.00132 |
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 9d 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 — 137 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Meeting Intelligence
Prep meetings by pulling Notion context, tailoring agendas/pre-reads, and enriching with Codex research.
When to Use
Use this skill when the user needs to:
- prepare an agenda before a meeting
- gather previous context from Notion for attendees
- draft a pre-read, briefing, or decision memo for a meeting
- consolidate open questions, blockers, and decision points into one page
Use a different skill when:
- the meeting already happened and you need to capture outcomes into knowledge pages → use
notion-knowledge-capture - the primary task is deep research documentation instead of meeting prep → use
notion-research-documentation
Quick start
- Confirm meeting goal, attendees, date/time, and decisions needed.
- Gather context: search with
Notion:notion-search, then fetch withNotion:notion-fetch(prior notes, specs, OKRs, decisions). - Pick the right template via
reference/template-selection-guide.md(status, decision, planning, retro, 1:1, brainstorming). - Draft agenda/pre-read in Notion with
Notion:notion-create-pages, embedding source links and owner/timeboxes. - Enrich with Codex research (industry insights, benchmarks, risks) and update the page with
Notion:notion-update-pageas plans change.
Usage
Typical output should include:
- objective and desired decisions
- attendee-aware agenda with timeboxes
- linked source pages
- explicit prep asks
- risks, open questions, and owners
Minimal create flow:
search relevant meeting context
-> fetch prior notes/specs
-> choose template
-> create or update the prep page
-> link follow-up tasks
Workflow
0) If any MCP call fails because Notion MCP is not connected, pause and set it up:
- Add the Notion MCP:
codex mcp add notion --url https://mcp.notion.com/mcp
- Enable remote MCP client:
- Set
[features].rmcp_client = trueinconfig.tomlor runcodex --enable rmcp_client
- Set
- Log in with OAuth:
codex mcp login notion
After successful login, the user will have to restart codex. You should finish your answer and tell them so when they try again they can continue with Step 1.
What ships with it
18 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.
- agents/openai.yaml 512 B
- assets/notion-small.svg 15 KB
- assets/notion.png 8.3 KB
- evaluations/decision-meeting-prep.json 3.4 KB
- evaluations/README.md 3.9 KB
- evaluations/status-meeting-prep.json 3.2 KB
- examples/customer-meeting.md 3.1 KB
- examples/executive-review.md 2.1 KB
- examples/project-decision.md 13 KB
- examples/sprint-planning.md 2.1 KB
- LICENSE.txt 1.0 KB
- reference/brainstorming-template.md 1.4 KB
- reference/decision-meeting-template.md 1.8 KB
- reference/one-on-one-template.md 932 B
- reference/retrospective-template.md 940 B
- reference/sprint-planning-template.md 1.3 KB
- reference/status-update-template.md 1.3 KB
- reference/template-selection-guide.md 1.9 KB
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.
- 9d ago First seen · 137 lines · 19 tokens per session scan A 4d53b6c34f42
notion-meeting-intelligence is a skill published in the GitHub repository seaworld008/Commonly-used-high-value-skills (70 stars, last pushed 5d ago), licensed MIT. It adds 19 tokens to every session and 1,322 once invoked, about $0.0001 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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