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 Ootto-AI/claude-inbox-skills --skill meeting-notes-to-action-itemsgit clone --depth 1 https://github.com/Ootto-AI/claude-inbox-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/ootto-ai/claude-inbox-skills/meeting-notes-to-action-items)<a href="https://agentmods.dev/skills/ootto-ai/claude-inbox-skills/meeting-notes-to-action-items"><img src="https://agentmods.dev/badge/skills/ootto-ai/claude-inbox-skills/meeting-notes-to-action-items/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/ootto-ai/claude-inbox-skills/meeting-notes-to-action-items"><img src="https://agentmods.dev/badge/skills/ootto-ai/claude-inbox-skills/meeting-notes-to-action-items.svg" alt="Reviewed on agentmods" width="80" height="20"></a>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 | $0.00067 | $0.00511 |
| Opus 5 | $0.00034 | $0.00255 |
| Sonnet 5 | $0.00013 | $0.00102 |
| Haiku 4.5 | $0.00007 | $0.00051 |
Grade A, and why
meeting-notes-to-action-items 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 12d 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.
What it actually says
Meeting Notes to Action Items
Turn raw notes into owners, deadlines, and follow-up emails.
When to use
A meeting just ended and you have messy notes — you need a clean list of who owns what by when, the decisions made, and a ready-to-send follow-up for each person.
What you'll need
Your raw meeting notes (messy is fine), and the names of who was in the room.
Instructions
Collect any missing inputs from the user, then run this prompt:
You are turning my raw meeting notes into a clean set of action items and follow-ups. Here are the notes:
[paste your raw notes — bullet points, fragments, whatever you have]
People in the meeting: [list names]
Do three things:
1. ACTION ITEMS — a table with three columns: Task | Owner | Deadline. Pull every commitment or next step from the notes. Assign the owner named in the notes; if no owner was given, put "[unassigned]". If a deadline was mentioned use it, otherwise put "[no date]". Don't invent tasks that aren't in the notes.
2. DECISIONS — a short list of anything the group actually decided.
3. FOLLOW-UP EMAILS — for each person who owns an action item, write a short, friendly email reminding them of just their items and deadlines. Keep each one to a few sentences, ready to send.
Flag anything ambiguous instead of guessing.
Tip: Don't clean up your notes first — paste them raw. Claude is good at making sense of shorthand, and over-editing risks dropping a commitment you'd want captured.
Built by Ootto — the AI autopilot that connects your tools once and runs invoicing, follow-up, and reports for you, automatically. Book a demo →
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.
- 12d ago First seen · 53 lines · 67 tokens per session scan A 93b5aad75ec9
meeting-notes-to-action-items is a skill published in the GitHub repository Ootto-AI/claude-inbox-skills (1 stars, last pushed 3mo ago), licensed MIT. It adds 67 tokens to every session and 511 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 2026-08-31.
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