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 DevelopersGlobal/ai-agent-skills --skill meeting-notes-to-tasksgit clone --depth 1 https://github.com/DevelopersGlobal/ai-agent-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/developersglobal/ai-agent-skills/meeting-notes-to-tasks)<a href="https://agentmods.dev/skills/developersglobal/ai-agent-skills/meeting-notes-to-tasks"><img src="https://agentmods.dev/badge/skills/developersglobal/ai-agent-skills/meeting-notes-to-tasks/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/developersglobal/ai-agent-skills/meeting-notes-to-tasks"><img src="https://agentmods.dev/badge/skills/developersglobal/ai-agent-skills/meeting-notes-to-tasks.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 | $0.00036 | $0.00617 |
| Opus 5.5 | $0.00014 | $0.00247 |
| Sonnet 5.5 | $0.00007 | $0.00123 |
| Haiku 4.5 | $0.00004 | $0.00062 |
Grade A, and why
meeting-notes-to-tasks 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 1mo 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 — 80 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Overview
Meetings produce decisions and commitments. Without structure, these dissolve into vague memory. This skill transforms raw meeting notes into a concrete, actionable task list.
When to Use
- After any meeting with decisions or commitments
- When processing meeting transcripts or notes
- When preparing follow-up communication
Process
Step 1: Extract Decisions
- Read all notes.
- List every decision made:
Decision: [what was decided] - Distinguish decisions from discussions (decisions = agreed outcomes, not explorations).
Deliver: A numbered list of decisions made.
Step 2: Extract Action Items
- For each commitment made, write:
Action: [specific deliverable] Owner: [person's name] Due: [specific date, not "soon" or "next week"] Context: [1-sentence background] - If an owner is not named: flag it — unowned actions are undone actions.
- If a due date is not named: flag it — undated actions are undone actions.
Deliver: Structured action items with owner and due date for every commitment.
Step 3: Identify Blockers and Dependencies
- What action items are blocked by other action items?
- What external dependencies exist (waiting on third party, requires approval, etc.)?
- What open questions remain unresolved?
Deliver: Blocker list and open questions with owners.
Step 4: Draft Follow-Up Summary
- Compose a concise follow-up message:
- Decisions (bullet list)
- Action items (table: action | owner | due date)
- Open questions (bullet list with owner)
- Next meeting date (if applicable)
Deliver: Ready-to-send follow-up email/Slack message.
Common Rationalizations (and Rebuttals)
| Excuse | Rebuttal |
|---|---|
| "Everyone knows what they need to do" | They don't. Write it down. |
| "The notes are good enough" | Notes describe what was said. Action items describe what will be done. |
| "We'll follow up informally" | Informal follow-up means things fall through the cracks. |
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.
- 1mo ago First seen · 80 lines · 36 tokens per session scan A 43abbc2ca932
meeting-notes-to-tasks is a skill published in the GitHub repository DevelopersGlobal/ai-agent-skills (215 stars, last pushed 5d ago), licensed MIT. It adds 36 tokens to every session and 617 once invoked, about $0.0001 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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