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 mishahanin/heading-os --skill zkgit clone --depth 1 https://github.com/mishahanin/heading-osWrote 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/mishahanin/heading-os/zk)<a href="https://agentmods.dev/skills/mishahanin/heading-os/zk"><img src="https://agentmods.dev/badge/skills/mishahanin/heading-os/zk/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/mishahanin/heading-os/zk"><img src="https://agentmods.dev/badge/skills/mishahanin/heading-os/zk.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 | $0.00101 | $0.01777 |
| Opus 5 | $0.00051 | $0.00889 |
| Sonnet 5 | $0.00020 | $0.00355 |
| Haiku 4.5 | $0.00010 | $0.00178 |
Grade A, and why
zk 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 9d 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 — 122 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Zettelkasten Knowledge Base
Manage the knowledge/ second brain shared between Claude Code and Zettlr. Atomic notes, wiki-links, status lifecycle, and anti-dumping discipline.
Variables
$ARGUMENTS- Subcommand and parameters. Format:[action] [target]- Actions:
add,enrich,find,connect,distill,garden,stats,brief
Context Loading
First, read .workspace-identity.json to determine workspace type. Paths depend on workspace type:
CEO workspace (flat paths):
knowledge/odin-brain/INDEX.md- current brain stats and note inventorycontext/strategy.md- for strategic relevance assessmentcontext/pipeline.md- for deal/prospect contextcontext/current-data.md- for timeline and milestone context
Exec workspace (tiered paths):
personal/knowledge/INDEX.md- personal note inventorycorporate/knowledge/shared/INDEX.md- corporate shared knowledge (if exists)corporate/context/strategy.md- for strategic relevance assessmentcorporate/context/pipeline.md- for deal/prospect contextcorporate/context/current-data.md- for timeline and milestone context
Subcommand dispatch
Parse the first word of $ARGUMENTS to determine the action. If no subcommand
is given, default to stats.
Read references/subcommands.md before you run any subcommand below. It
holds the full step sequence, the note file template, and the per-type
enrichment rules. The table names only the command lines and the approval gates.
| Subcommand | Commands and gates | What it does |
|---|---|---|
add [type] |
Ends with python3 scripts/sanitize-text.py {path}. Type people is a redirect: "People intel belongs in CRM. Use /crm add." Ask "CEO-only or Corporate-wide?" before writing. |
Create one atomic note under the workspace's knowledge root, status seed. |
enrich [note] |
Ends with python3 scripts/sanitize-text.py {path}. Ask which note when several match. |
Research a seed or growing note, add connections, raise its status. |
find [query] |
Grep only. No writes. | Search personal AND corporate shared knowledge by title, keyword, type, or body. |
connect [note] |
Present suggested links as a numbered list, then ask which to add. Never add a link unasked. | Suggest links to other notes and to workspace files, then write the approved ones both ways. |
distill [source] |
Present the proposed notes, then WAIT for Misha's approval. Ends with python3 scripts/sanitize-text.py on each created file. |
Extract 3-7 atomic insights from a skill output file into durable notes. |
garden |
python3 scripts/odin-brain-health.py, then ask which actions to take, then python3 scripts/odin-brain-health.py --update-index. |
Maintenance pass over stale seeds, orphans, broken links, and connection opportunities. |
stats |
python3 scripts/odin-brain-health.py --update-index |
Regenerate INDEX.md and display it with any health concerns. |
brief [topic] |
Read-only. Present inline; create no file unless asked. | Synthesize every note on a topic into a narrative summary. |
What ships with it
2 files beside SKILL.md in the same directory: the scripts, references and assets a skill reads on demand. Not counted in the per-session cost; read them before you install if any of them is executable.
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.
- 9d ago First seen · 122 lines · 101 tokens per session scan A e2f92057d486
zk is a skill published in the GitHub repository mishahanin/heading-os (11 stars, last pushed 3d ago), licensed Apache-2.0. It adds 101 tokens to every session and 1,777 once invoked, about $0.0005 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 2026-09-03.
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