Borrowing it
Nothing to install: this file belongs to the-sid-dani/second-brain-os. Take a copy, put it at the same path in your own repository, and replace the rules that are about this project with yours.
curl -O https://raw.githubusercontent.com/the-sid-dani/second-brain-os/main/.agents/skills/bootstrap/SKILL.mdgit clone --depth 1 https://github.com/the-sid-dani/second-brain-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/the-sid-dani/second-brain-os/bootstrap)<a href="https://agentmods.dev/skills/the-sid-dani/second-brain-os/bootstrap"><img src="https://agentmods.dev/badge/skills/the-sid-dani/second-brain-os/bootstrap/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/the-sid-dani/second-brain-os/bootstrap"><img src="https://agentmods.dev/badge/skills/the-sid-dani/second-brain-os/bootstrap.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 | $0.00096 | $0.02999 |
| Opus 5.5 | $0.00038 | $0.01200 |
| Sonnet 5.5 | $0.00019 | $0.00600 |
| Haiku 4.5 | $0.00010 | $0.00300 |
Grade A, and why
bootstrap 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 7d 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 — 145 lines — stays where its author put it; the contents beside it link to each section on GitHub.
bootstrap
First-run setup. Two questions, then the fork is configured: persona files filled in, the Configuration block written, workspace folders in place. Extras (writing voice, bringing in existing work, work connectors) are offered at the end and never block the core.
Why it's built this way. Every fork user runs this once, before they've seen anything the OS can do. Each question spent here is a question not spent on real work, so the skill asks only what the machine can't know: who the person is and what they want their assistant to be. Everything else is detected (git config, system timezone and language, connected tools) or defaulted (neutral design, the workspace folder). Nothing is committed, so every write is undoable with git, and that's why the core writes don't need their own confirmation gates. The one exception is a file the person already edited by hand (T1).
Speak plainly: this is for knowledge workers, not engineers. Short sentences, no jargon, no wall of text.
Invariants
- T1 — Never overwrite a persona file the person edited.
SOUL.md,IDENTITY.md,USER.mdandREADME.mdare regenerated only while they still match their templates exactly (a fresh fork ships them that way). Anything else (hand edits, an earlier setup, a copy without git) counts as edited and is kept unless the person explicitly chooses otherwise. This is the only extra question the skill may ask, and only when such a file exists. - T2 — Never re-run on a configured fork. A fork is configured when CLAUDE.md has a
setup_completedline holding a real date (YYYY-MM-DD). The fresh template carries a<YYYY-MM-DD>placeholder there, which does not count. - T3 — Never commit. No
git add, nogit commit. Show the commit command as text. - T4 — Never install anything. Detection is read-only. Missing tools get a one-line hint.
1. Detect (read-only, no questions)
Run the bundled script from the repo root (.claude/skills/ links to the same folders as .agents/skills/, so either path works):
What ships with it
1 file 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.
- 7d ago Changed · -141 lines · -154 tokens per session scan C → A cd7534e3b41e
- 1mo ago First seen · 286 lines · 250 tokens per session scan C 4ee33be71cfa
bootstrap is a skill published in the GitHub repository the-sid-dani/second-brain-os (3 stars, last pushed 7d ago), licensed MIT. It adds 96 tokens to every session and 2,999 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 2026-08-31.
Other skills, from other repositories
screenpipe-api
Query the user's local and synced-device data via the screenpipe REST API at localhost:3030 — recordings, audio, UI, meetings, connected services, and memory. Use for screen activity, other-device or cross-device history, productivity, media export, connections, durable memory, or discovering and automating saved…
follower-onboard
Onboard a new machine as a receive-only follower on a multi-machine agent network: it reads the shared vault, canon, skills and memory, runs nothing heavy locally (no RAG, reindex or GPU), and never receives executable hooks from the hub. Checklist-driven, with a verify step at each stage. Triggers: "/follower-onboard…
brain-onboard
An onboarding workflow that helps another person create and use their own private knowledge store, sometimes called a second brain. It gathers their information with consent, saves it in their own workspace, and demonstrates a first useful result.
memory-tidy
Tidy an agent's always-loaded memory index (MEMORY.md) on macOS or Linux: trim long lines, move closed entries to an archive, fold domains into hub files, restore dropped pins and add pointers for orphan memory files. Use when the index is over budget or has orphans. Triggers: /memory-tidy, /mt, tidy memory.
claudeai-sync
Pull new and changed claude.ai web conversations into an Obsidian vault, extract artifacts as first-class notes, concept-link them, and refresh the RAG index and dashboard. Idempotent: curated notes are never overwritten. Triggers: "/claudeai-sync", "pull claude.ai", "grab new claude.ai chats".
chat-search
Search inside past agent sessions and continue the one that matters with a single command. Uses a separate episodic session index, so raw chat noise never pollutes the curated RAG. Triggers: "/chat-search", "which chat discussed X", "did we already research X", "search old chats".