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/onebrain-ai/onebrain/onboardingnpx skills add onebrain-ai/onebrain --skill onboardinggit clone --depth 1 https://github.com/onebrain-ai/onebrainWrote 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/onebrain-ai/onebrain/onboarding)<a href="https://agentmods.dev/skills/onebrain-ai/onebrain/onboarding"><img src="https://agentmods.dev/badge/skills/onebrain-ai/onebrain/onboarding.svg" alt="Measured on agentmods" 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 | $0.00070 | $0.05675 |
| Opus 5 | $0.00035 | $0.02838 |
| Sonnet 5 | $0.00014 | $0.01135 |
| Haiku 4.5 | $0.00007 | $0.00568 |
Grade A, and why
onboarding 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 4d 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 — 525 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Install Path Detection
At the very start, before any user interaction, detect which install path was used:
Check if .claude/plugins/onebrain/ exists locally in this vault directory.
Re-run check: If .claude/plugins/onebrain/ exists AND onebrain.yml exists, this is a re-run on an already-configured vault. Tell the user:
OneBrain is already set up in this vault. Running onboarding again will update your identity and preferences : your notes and vault structure will not change. Continue?
Wait for confirmation. If they confirm, proceed with Path A flow (existing steps). If they decline, stop.
Path B detected: If .claude/plugins/onebrain/ does NOT exist locally:
- If
onebrain.ymlalso exists : warn the user before continuing:OneBrain vault config (onebrain.yml) found but plugin files are missing. Proceeding to re-adopt the plugin. Your existing onebrain.yml will be preserved. If MEMORY.md exists, you'll be asked whether to keep or replace it. - Skip to the Path B section at the bottom of this skill.
Path A detected: If .claude/plugins/onebrain/ exists locally (and it is a first run or confirmed re-run), continue with the steps below (existing onboarding flow).
OneBrain Onboarding
Welcome to OneBrain! This skill personalizes your vault and sets up your AI chief of staff.
Run this once when you first set up OneBrain.
Platform Note
For steps that present a fixed set of choices (personality archetype, communication style), use the AskUserQuestion tool if available. If not available, present the options as a numbered list and wait for a text response. Free-text prompts (name, role, goals, context) should always be asked as plain conversational text.
Detecting availability: Attempt AskUserQuestion on the first choice-based question (personality archetype, Step 5). If it fails or is unavailable, switch to plain-text numbered lists for all remaining choice questions in this skill : do not retry AskUserQuestion after a failure.
What ships with it
4 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.
- 4d ago First seen · 525 lines · 70 tokens per session scan A 363bfca22124
onboarding is a skill published in the GitHub repository onebrain-ai/onebrain (25 stars, last pushed 6d ago), licensed Apache-2.0. It adds 70 tokens to every session and 5,675 once invoked, about $0.0003 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 skills, from other repositories
llm-wiki
Build and maintain a persistent, interlinked Obsidian-compatible markdown wiki using Karpathy's LLM Wiki pattern. Extension-backed with auto-generated metadata, guardrails, and 14 custom tools (+3 opt-in agent-trajectory tools).
link-memory
Use after important user-approved decisions, when durable context should be proposed or reviewed, and for explicit Link memory lifecycle work: remember, recall, review, update, archive, restore, forget, or explain local memories through the CLI without requiring MCP.
link-retrieve
Use before answering work that may depend on user memory, project history, source-backed notes, or prior decisions; retrieve compact Link context through the CLI without loading the whole wiki or requiring MCP.
link-ingest
Use when raw files are present, source pages look stale, or a user asks to ingest notes into Link; refresh source-backed wiki pages, propose memories, and validate updates through the CLI without MCP.
lint-brain
Run health checks over the brain vault - find orphan notes, broken wikilinks, missing frontmatter, stale projects, and missing cross-links. Use when asked to "lint the brain", "health check", "vault hygiene", or "/lint-brain".
ingest-article
Ingest an article from a URL or raw text into the brain vault. Extracts key knowledge, determines placement, creates or updates notes, and links to relevant projects. Use when the user shares a URL or text and wants to absorb it into their knowledge base.