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 hamsurang/kit --skill obsidian-braingit clone --depth 1 https://github.com/hamsurang/kitWrote 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/hamsurang/kit/obsidian-brain)<a href="https://agentmods.dev/skills/hamsurang/kit/obsidian-brain"><img src="https://agentmods.dev/badge/skills/hamsurang/kit/obsidian-brain/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/hamsurang/kit/obsidian-brain"><img src="https://agentmods.dev/badge/skills/hamsurang/kit/obsidian-brain.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 | $0.00103 | $0.00945 |
| Opus 5.5 | $0.00041 | $0.00378 |
| Sonnet 5.5 | $0.00021 | $0.00189 |
| Haiku 4.5 | $0.00010 | $0.00094 |
Grade A, and why
obsidian-brain 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 — 95 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Obsidian Brain — Vault Knowledge as Context
Use vault notes as conversational context and archive session learnings as Zettelkasten notes.
Skill Boundary
| Intent | Skill |
|---|---|
| Create, edit, move, search notes | obsidian |
| Use vault knowledge as context | obsidian-brain ✅ |
| Archive session learnings | /obsidian-archive command |
| Explicitly load vault context | /brain command |
Vault Path Resolution
Resolve once per session, cache for reuse:
- User override:
~/.claude/obsidian-brain/config.json→vaultPath - obsidian-cli:
obsidian-cli print-default --path-only - Obsidian app config:
~/Library/Application Support/obsidian/obsidian.json - Ask user: "Obsidian vault 경로를 알려주세요"
If vault path is invalid, clear config and re-resolve. See references/vault-setup.md for details.
Context Loading Workflow
When the user asks to reference their notes:
- Parse query — extract topic keywords from the user's request
- MOC scan — Grep
2-maps/*.mdfor keywords, read top 3 matching MOCs - Note retrieval — extract
[[wikilinks]]from MOCs, read up to 5 linked notes - Fallback search — if MOC scan finds nothing, Grep
1-zettelkasten/and0-inbox/directly for keywords (catches orphan notes not linked to any MOC) - Context budget — stay within 15,000 characters total:
- 3 MOCs × ~1,000 chars = ~3,000
- 5 notes × ~2,000 chars = ~10,000
- Remaining ~2,000 for relationship context
- Present — summarize what was found, answer the user's question using note content
If No Notes Found
이 주제에 대한 노트를 찾지 못했습니다.
관련 키워드: [searched terms]
Cold Start (Empty Vault)
If 2-maps/ is empty or missing, inform the user:
vault에 아직 노트가 없습니다. /obsidian-archive 로 학습 내용을 저장해보세요.
Archive Workflow
The /obsidian-archive command handles learning extraction. It follows:
- Session analysis — Progressive Summarization으로 학습 추출
- MOC scan — 기존 노트와 관련성 검색
- Duplicate detection — 중복 노트 확인
- Draft generation — 사용자 승인/수정 루프
- Save —
0-inbox/에 저장, MOC 업데이트
What ships with it
3 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.
- 1mo ago First seen · 95 lines · 103 tokens per session scan A cc1e8255d38b
obsidian-brain is a skill published in the GitHub repository hamsurang/kit (19 stars, last pushed 5mo ago), licensed MIT. It adds 103 tokens to every session and 945 once invoked, about $0.0004 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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