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 BayramAnnakov/ai-personal-os-skills --skill atomizegit clone --depth 1 https://github.com/BayramAnnakov/ai-personal-os-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/bayramannakov/ai-personal-os-skills/atomize)<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.
<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>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 | $0.00039 | $0.00953 |
| Opus 5 | $0.00019 | $0.00477 |
| Sonnet 5 | $0.00008 | $0.00191 |
| Haiku 4.5 | $0.00004 | $0.00095 |
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.
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-*.mdfiles, 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:
- One concept per note — if an idea has two parts, make two notes
- 2-5 sentences — express the idea concisely
- Own words — reformulate, don't copy-paste. The goal is YOUR understanding, not a quote
- Tags — add 2-4 relevant tags based on content
- 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:
- Use
Globto find all existingatomic/*.mdfiles - Use
Grepto search existing notes for related keywords and concepts - If related notes exist, add
[[wikilinks]]with a brief explanation of the connection - If no related notes exist, that's fine — connections grow over time
File Creation
- Get today's date via
date +%Y-%m-%d(Bash) - Create the
atomic/directory if it doesn't exist - For each atomic idea, create a file:
atomic/YYYY-MM-DD_NNN.mdwhere NNN is a 3-digit sequence number (001, 002, 003...) - Check existing files to avoid number collisions
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 · 112 lines · 39 tokens per session scan A c73d8d27e432
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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