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 Haohao-end/openagent --skill notion-meeting-intelligencegit clone --depth 1 https://github.com/Haohao-end/openagentWrote 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/haohao-end/openagent/notion-meeting-intelligence)<a href="https://agentmods.dev/skills/haohao-end/openagent/notion-meeting-intelligence"><img src="https://agentmods.dev/badge/skills/haohao-end/openagent/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/haohao-end/openagent/notion-meeting-intelligence"><img src="https://agentmods.dev/badge/skills/haohao-end/openagent/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 | $0.00036 | $0.00804 |
| Opus 5 | $0.00018 | $0.00402 |
| Sonnet 5 | $0.00007 | $0.00161 |
| Haiku 4.5 | $0.00004 | $0.00080 |
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 11d 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.
Copies of this mod
2 near-identical copies found in the catalogue:
- notion-meeting-intelligence — 100% identical, 0 lines differ
- notion-meeting-intelligence — 100% identical, 0 lines differ
How it starts
The opening of the file, as written. The whole thing — 61 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.
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.
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.
1) Gather inputs
- Ask for objective, desired outcomes/decisions, attendees, duration, date/time, and prior materials.
- Search Notion for relevant docs, past notes, specs, and action items (
Notion:notion-search), then fetch key pages (Notion:notion-fetch). - Capture blockers/risks and open questions up front.
2) Choose format
- Status/update → status template.
- Decision/approval → decision template.
- Planning (sprint/project) → planning template.
- Retro/feedback → retrospective template.
- 1:1 → one-on-one template.
- Ideation → brainstorming template.
- Use
reference/template-selection-guide.mdto confirm.
3) Build the agenda/pre-read
- Start from the chosen template in
reference/and adapt sections (context, goals, agenda, owner/time per item, decisions, risks, prep asks). - Include links to pulled Notion pages and any required pre-reading.
- Assign owners for each agenda item; call out timeboxes and expected outputs.
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.
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.
- 11d ago First seen · 61 lines · 36 tokens per session scan A bad61faccbbe
notion-meeting-intelligence is a skill published in the GitHub repository Haohao-end/openagent (807 stars, last pushed 1mo ago), licensed MIT. It adds 36 tokens to every session and 804 once invoked, about $0.0002 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 2026-08-30.
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