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 agentmods add commands/hamsurang/kit/braingit clone --depth 1 https://github.com/hamsurang/kitWhat 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 | $0.00031 | $0.00375 |
| Opus 5 | $0.00015 | $0.00187 |
| Sonnet 5 | $0.00006 | $0.00075 |
| Haiku 4.5 | $0.00003 | $0.00038 |
Grade A, and why
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 2d 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.
What it actually says
/brain — Load Vault Knowledge
Load notes from Obsidian vault as conversational context.
Usage
/brain rust ownership
/brain react hooks
/brain 이전에 정리한 캐싱 전략
Prerequisites
- Load
references/vault-setup.mdand resolve vault path - Verify vault structure exists
Execution
- Parse topic — extract keywords from the argument (or ask if empty)
- MOC scan — Grep
2-maps/*.mdfor topic keywords - Read top 3 MOCs — extract
[[wikilinks]]from matching MOCs - Read up to 5 linked notes — prioritize most relevant by keyword match
- Fallback search — if no MOCs matched, Grep
1-zettelkasten/and0-inbox/directly for keywords to find orphan notes not yet linked to any MOC - Context budget — stay within 15,000 characters total
- Present findings — summarize loaded notes and answer in context
Output Format
vault에서 [N]개 노트를 찾았습니다:
- [[note-1-title]] (from MOC: topic-name)
- [[note-2-title]] (from MOC: topic-name)
[Answer the user's question using the loaded note content]
No Results
"[topic]"에 대한 노트를 찾지 못했습니다.
검색한 키워드: [terms]
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.
- 2d ago First seen · 53 lines · 31 tokens per session scan A 7042ce846791
brain is a command published in the GitHub repository hamsurang/kit (19 stars, last pushed 4mo ago), licensed MIT. It adds 31 tokens to every session and 375 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.
Other commands, from other repositories
checklist
Generate a custom checklist for the current feature based on user requirements.
clarify
Identify underspecified areas in the current feature spec by asking up to 5 highly targeted clarification questions and encoding answers back into the spec.
specify
Create or update the feature specification from a natural language feature description.
analyze
Perform a non-destructive cross-artifact consistency and quality analysis across spec.md, plan.md, and tasks.md after task generation.
converge
Assess the current codebase against the feature's spec, plan, and tasks, then append any remaining unbuilt work as new tasks to tasks.md so implement can complete it.
implement
Execute the implementation plan by processing and executing all tasks defined in tasks.md.