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 skills/letrplb/second-brain/initnpx skills add letrplB/second-brain --skill initgit clone --depth 1 https://github.com/letrplB/second-brainWhat 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 | $0.00036 | $0.03079 |
| Opus 5 | $0.00018 | $0.01540 |
| Sonnet 5 | $0.00007 | $0.00616 |
| Haiku 4.5 | $0.00004 | $0.00308 |
Grade A, and why
init 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 yesterday.
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 — 236 lines — stays where its author put it; the contents beside it link to each section on GitHub.
/init
Intent. Lay down a new vault. Either by talking with the user (guided mode) or by accepting preset + domain on the command line (quick mode). Same scaffolding step at the end; the modes only differ in how the placeholders get filled and how the location is chosen.
Refuses to overwrite. If the resolved target directory already exists and is non-empty, abort with a clear error.
Modes
Guided (default — no arguments)
A focused conversation: ~7 questions, a review-and-confirm step, then scaffold. Use this when starting a new vault from scratch and you want it to fit your work.
Quick (preset specified)
/init research [domain] [--at <path>] or /init personal [--at <path>]. Scaffolds immediately with sensible defaults; you edit afterwards. Use this when you know what you want, or when you're scripting setup.
A future hybrid preset is reserved but not yet shipped.
Resolving where the vault lives
This is the same logic in both modes — the difference is whether the user is asked or whether a default is taken silently.
The model has access to the user's current working directory (the directory Claude Code was invoked from). Call this $CWD.
Default proposal: $CWD/vault/.
Path resolution rules:
- Absolute paths used as-is (e.g.
/Users/bastian/notes/research-vault/). ~/...expanded to home.- Anything else treated as relative to
$CWD.
Refusal cases (both modes — abort and explain):
- The resolved path equals the plugin directory itself (the directory containing this
init/SKILL.md's grandparent). Vaults must not nest inside the plugin source. - The resolved path exists and is non-empty.
- The resolved path is a parent of
$CWD(likely a slip; ask user to confirm explicitly).
Guided mode behaviour
The model conducts a focused interview. Each question shapes a specific part of the generated vault. After the answers are in, the model presents a file plan and asks for confirmation before any disk write.
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.
- yesterday First seen · 236 lines · 36 tokens per session scan A 116632906d8c
init is a skill published in the GitHub repository letrplB/second-brain (1 stars, last pushed 3mo ago), licensed MIT. It adds 36 tokens to every session and 3,079 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 2026-08-31.
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