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 alivirgo/Major-AI-Skills --skill clean-messy-notes-to-action-itemsgit clone --depth 1 https://github.com/alivirgo/Major-AI-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/alivirgo/major-ai-skills/clean-messy-notes-to-action-items)<a href="https://agentmods.dev/skills/alivirgo/major-ai-skills/clean-messy-notes-to-action-items"><img src="https://agentmods.dev/badge/skills/alivirgo/major-ai-skills/clean-messy-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/alivirgo/major-ai-skills/clean-messy-notes-to-action-items"><img src="https://agentmods.dev/badge/skills/alivirgo/major-ai-skills/clean-messy-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 | $0.00029 | $0.01078 |
| Opus 5 | $0.00015 | $0.00539 |
| Sonnet 5 | $0.00006 | $0.00216 |
| Haiku 4.5 | $0.00003 | $0.00108 |
Grade A, and why
clean-messy-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 today.
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 — 111 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Turn Messy Notes into Assigned Action Items (AI Skill)
Overview
During fast-paced meetings or brainstorming sessions, notes are scribbled in fragments ("Dave check billing API, push release fri, talk to sarah re budget?"). Leaving notes in this state leads to dropped tasks and confusion.
The Action Item Parser Protocol ingests raw, unformatted notes and separates them into 3 clean, unambiguous buckets: Key Decisions Made, Assigned Action Items (with strict ownership and deadlines), and Open Questions.
The 3-Bucket Parser Architecture
┌─────────────────────────────────────────────────────────────┐
│ The Action-Item Parser │
│ │
│ [ RAW FRAGMENTED NOTES & SCRIBBLINGS ] │
│ │ │
│ ▼ │
│ ┌───────────────────────────────────────────────────────┐ │
│ │ 1. DECISIONS: What was agreed on? (No action needed) │ │
│ │ 2. ACTION ITEMS: [WHO] + [WHAT] + [BY WHEN] + [DOD] │ │
│ │ 3. OPEN QUESTIONS: What is blocked or unowned? │ │
│ └───────────────────────────────────────────────────────┘ │
└─────────────────────────────────────────────────────────────┘
Master Note Cleanup Prompt Templates
Pattern 1: The Standard Action-Item Parser
Use this for team meetings, client calls, and sprint standups:
Here are my raw, unedited meeting notes:
[PASTE RAW NOTES]
Parse these notes into the following 3 structured sections:
### 1. Key Decisions Made
- Bulleted list of final decisions agreed upon.
### 2. Action Items Table
Create a Markdown table with the following columns:
| Task / Deliverable | Owner | Deadline | Priority (P0 / P1 / P2) | Definition of Done |
### 3. Open Questions & Blockers
- Bulleted list of unresolved issues requiring follow-up.
Rules:
- If an owner or deadline is not explicitly named, label as `[UNASSIGNED]` or `[TBD]`.
- Convert vague verbs ("look into", "check") into concrete action deliverables ("Review API logs and document error rates").
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.
- today Changed · -13 tokens per session 63a7a1cccfb5
- 12d ago First seen · 111 lines · 42 tokens per session scan A 696664b370db
clean-messy-notes-to-action-items is a skill published in the GitHub repository alivirgo/Major-AI-Skills (1 stars, last pushed today), licensed MIT. It adds 29 tokens to every session and 1,078 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 2026-08-31.
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