atomize

atomize is a skill for Claude Code from BayramAnnakov/ai-personal-os-skills. It costs 39 tokens per session (953 once invoked), scanned A, original, MIT.

A tool that turns text, files, ideas, or web pages into small linked notes in a Zettelkasten, a system for organizing knowledge as connected notes.

In plain words
What is it for?
Use it to process articles, documents, ideas, or daily logs and save the resulting notes in your knowledge vault.
Why use it?
It removes the work of breaking long material into useful ideas, rewriting them, tagging them, and linking them to notes you already have.

Skill for Claude Code

Written for Claude Code: allowed-tools in frontmatter. Also seen: names the AskUserQuestion tool.

Part of the ai-personal-os-skills plugin — 6 skills shipped together

Good fit Use it to process articles, documents, ideas, or daily logs and save the resulting notes in your knowledge vault.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/bayramannakov/ai-personal-os-skills/atomize
Install

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.

Any agent
npx skills add BayramAnnakov/ai-personal-os-skills --skill atomize
Clone the repo
git clone --depth 1 https://github.com/BayramAnnakov/ai-personal-os-skills

Made for: Claude Code.

Or install ai-personal-os-skills, the plugin that ships this one along with the rest of its 6 skills.

Wrote 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.

agentmods badge for atomize

README.md
[![agentmods](https://agentmods.dev/badge/skills/bayramannakov/ai-personal-os-skills/atomize/github.svg)](https://agentmods.dev/skills/bayramannakov/ai-personal-os-skills/atomize)
Your own site
<a href="https://agentmods.dev/skills/bayramannakov/ai-personal-os-skills/atomize"><img src="https://agentmods.dev/badge/skills/bayramannakov/ai-personal-os-skills/atomize/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.

agentmods 80×15 button for atomize

Your own site · 80×15
<a href="https://agentmods.dev/skills/bayramannakov/ai-personal-os-skills/atomize"><img src="https://agentmods.dev/badge/skills/bayramannakov/ai-personal-os-skills/atomize.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 39 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 953 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. A grade says what 26 rules found in the file — not that it is safe.
Origin original No closer match found in the catalogue.
Token cost

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.

ModelPer sessionOnce invoked
Fable 5.1 $0.00039 $0.00953
Opus 5 $0.00019 $0.00477
Sonnet 5 $0.00008 $0.00191
Haiku 4.5 $0.00004 $0.00095

Measured 12d ago against content hash c73d8d27e432, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-11, from the pricing page.

Security

Grade A, and why

atomize 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.

skills/atomize/SKILL.md · 112 lines

How it starts

The opening of the file, as written. The whole thing — 112 lines — stays where its author put it; the contents beside it link to each section on GitHub.

/atomize — Knowledge Atomizer

Turn any content into connected atomic notes in your Zettelkasten vault.

Input Flow

Ask ONE question using AskUserQuestion:

Question 1: What to atomize?

  • Question: "What do you want to atomize?"
  • Options: ["Paste text here", "Give a file path", "Describe an idea", "Atomize my recent daily logs"]
  • Accept whatever they provide.

Based on their choice:

  • Pasted text: Use it directly
  • File path: Read the file
  • Describe an idea: Use their description
  • Daily logs: Read all notes/daily-log-*.md files, extract Highlight and Blocker sections (ignore Vitals metrics — energy/focus/mood are data, not knowledge)

Extraction Rules

From the input, extract atomic ideas following these rules:

  1. One concept per note — if an idea has two parts, make two notes
  2. 2-5 sentences — express the idea concisely
  3. Own words — reformulate, don't copy-paste. The goal is YOUR understanding, not a quote
  4. Tags — add 2-4 relevant tags based on content
  5. Source attribution — note where the idea came from

Typically extract 2-5 atomic notes from a paragraph or article excerpt. For daily logs, focus on:

  • Ideas hidden in Highlight entries (things learned, realized, discovered)
  • Patterns in Blocker entries (recurring problems = knowledge)
  • Any insights that weren't fully developed

Connection Discovery

For EACH extracted idea:

  1. Use Glob to find all existing atomic/*.md files
  2. Use Grep to search existing notes for related keywords and concepts
  3. If related notes exist, add [[wikilinks]] with a brief explanation of the connection
  4. If no related notes exist, that's fine — connections grow over time

File Creation

  1. Get today's date via date +%Y-%m-%d (Bash)
  2. Create the atomic/ directory if it doesn't exist
  3. For each atomic idea, create a file: atomic/YYYY-MM-DD_NNN.md where NNN is a 3-digit sequence number (001, 002, 003...)
  4. Check existing files to avoid number collisions

Read the full file on GitHub · 112 lines

Changes

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.

  1. 12d ago First seen · 112 lines · 39 tokens per session scan A c73d8d27e432

Subscribe to this mod's changes

atomize is a skill published in the GitHub repository BayramAnnakov/ai-personal-os-skills (20 stars, last pushed 4mo ago), licensed MIT. It adds 39 tokens to every session and 953 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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