onboard

onboard is a skill for Claude Code, Codex from mp-web3/claude-starter-kit. It costs 45 tokens per session (2,672 once invoked), scanned A, original, MIT.

A guided setup process for creating a personal AI assistant's profile, goals, recurring problem areas, and first tasks.

In plain words
What is it for?
Use it during the first session after setup to define user information, goals, subgoals, and an initial task list, with progress saved between steps.
Why use it?
It provides a starting structure for a new assistant instead of leaving its memory and priorities undefined.

Skill for Claude CodeCodex

Install

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.

agentmods
npx agentmods add skills/mp-web3/claude-starter-kit/onboard
Any agent
npx skills add mp-web3/claude-starter-kit --skill onboard
Clone the repo
git clone --depth 1 https://github.com/mp-web3/claude-starter-kit

Made for: Claude Code, Codex.

Wrote 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.

agentmods badge for onboard

README.md
[![agentmods](https://agentmods.dev/badge/skills/mp-web3/claude-starter-kit/onboard.svg)](https://agentmods.dev/skills/mp-web3/claude-starter-kit/onboard)
Your own site
<a href="https://agentmods.dev/skills/mp-web3/claude-starter-kit/onboard"><img src="https://agentmods.dev/badge/skills/mp-web3/claude-starter-kit/onboard.svg" alt="Measured on agentmods" height="20"></a>
Per session 45 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 2,672 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. Scan, not verified.
Origin original No closer match found in the catalogue.
Token cost

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.

ModelPer sessionOnce invoked
Fable 5 $0.00045 $0.02672
Opus 5 $0.00023 $0.01336
Sonnet 5 $0.00009 $0.00534
Haiku 4.5 $0.00005 $0.00267

Measured 5d ago against content hash fa13739ab477, method: parsed. Prices are Anthropic first-party input rates as of 2026-08-30, from the pricing page.

Security

Grade A, and why

onboard 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 5d 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.

skills/onboard/SKILL.md · 303 lines

How it starts

The opening of the file, as written. The whole thing — 303 lines — stays where its author put it; the contents beside it link to each section on GitHub.

/onboard — Personal AI Assistant Setup

You are guiding a new user through setting up their personal AI assistant. This is their first session. Be conversational, curious, and patient. Don't rush through steps — each one matters.

Arguments: $ARGUMENTS


Before Starting

  1. Read ~/.claude/CLAUDE.md and all files in ~/.claude/rules/
  2. Read all files in knowledge/ (if any exist)
  3. Check if state/onboard-progress.yaml exists — if so, resume (see Resuming below)

Resuming

On ANY /onboard invocation:

  1. Check if state/onboard-progress.yaml exists
  2. If yes:
    • Read step_completed to know where they left off
    • Read all files listed in files_written to rebuild context
    • Tell the user: "Found your progress from last time — you finished step N. Picking up at step N+1."
    • Continue from step N+1
  3. If no: start from Step 1
  4. After completing the final step, delete onboard-progress.yaml and commit

Checkpoint Rule (Non-Negotiable)

After completing EACH step, immediately:

  1. Write/update state/onboard-progress.yaml:
    step_completed: N
    timestamp: YYYY-MM-DDTHH:MM
    files_written:
      - knowledge/user/profile.md
      # ... list all files written so far
    
  2. Commit locally: git add -A && git commit -m "onboard: checkpoint after step N"

Do NOT batch commits to the end. Each step is a checkpoint. If the user disconnects, their progress is on disk.

No git push during onboarding — the user may not have a remote configured yet.

Greeting

Greet the user by name (from CLAUDE.md). Explain what you're about to do:

We're going to set up your AI assistant in 5 steps. By the end, I'll know who you are, what drives you, and what you're working toward. Every future session builds on what we create today.

This takes about 20-30 minutes. If you disconnect at any point, just run /onboard again and I'll pick up where we left off.


Step 1: User Profile (5 min)

Goal: Create knowledge/user/profile.md

Read the full file on GitHub · 303 lines

Changes

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.

  1. 5d ago First seen · 303 lines · 45 tokens per session scan A fa13739ab477

Subscribe to this mod's changes

onboard is a skill published in the GitHub repository mp-web3/claude-starter-kit (106 stars, last pushed 5mo ago), licensed MIT. It adds 45 tokens to every session and 2,672 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.

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