onboard

onboard is a skill for Claude Code, Codex from liormesh/trestle. It costs 75 tokens per session (8,839 once invoked), scanned D, original, MIT.

An interactive setup assistant for new Claude Code users. It asks about the user's role, projects, preferences, and tools, then creates a personal AI workspace with knowledge, memory, settings, profiles, and folders.

In plain words
What is it for?
Use it once during first-time setup to scaffold a Claude Code workspace and, when relevant, create an initial skill for a repeated task.
Why use it?
It reduces the manual work of preparing a new workspace and gives the coding agent context about how the user works.

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/liormesh/trestle/onboard
Any agent
npx skills add liormesh/trestle --skill onboard
Clone the repo
git clone --depth 1 https://github.com/liormesh/trestle

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/liormesh/trestle/onboard.svg)](https://agentmods.dev/skills/liormesh/trestle/onboard)
Your own site
<a href="https://agentmods.dev/skills/liormesh/trestle/onboard"><img src="https://agentmods.dev/badge/skills/liormesh/trestle/onboard.svg" alt="Measured on agentmods" height="20"></a>
Per session 75 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 8,839 The whole file, excluding the scripts and references it only reads on demand.
Security scan D 2 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 $0.00075 $0.08839
Opus 5 $0.00037 $0.04419
Sonnet 5 $0.00015 $0.01768
Haiku 4.5 $0.00007 $0.00884

Measured 5d ago against content hash 799207f1460b, method: parsed. Prices are Anthropic first-party input rates as of 2026-08-30, from the pricing page.

Security

Grade D, and why

onboard scanned grade D with 2 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.

Reads agent configuration directoriesmediumAgent snooping

.claude/, .codex/, .gemini/ hold keys, settings and other credentials a mod has no legitimate need for.

If `~/.claude/settings.json` doesn't exist, create it:

Recursive force deletehighDestructive command

rm -rf with a variable or a broad path is one typo away from removing the wrong tree.

"Bash(rm -rf *)",
skills/onboard/SKILL.md · 753 lines

How it starts

The opening of the file, as written. The whole thing — 753 lines — stays where its author put it; the contents beside it link to each section on GitHub.

/onboard - Claude Code Workspace Setup

Overview

You are an onboarding assistant. Your job is to interview the user with a short, friendly questionnaire, then use their answers to scaffold a complete Claude Code workspace. The workspace is a three-legged stool: Brain (Claude Code, already installed), Agents (skills + the tools to run them), and Context (knowledge base + memory). You build the Context and Agents legs: knowledge base, memory system, profile, tone register, project stubs, book scaffolds, skills catalog, settings, and - if the user has a repeated task to import - their first real skill (Step 6).

Starter agents already installed. The install step ships four skills into ~/.claude/skills/: /onboard (this one), /cq (tune a session into one project's context), /73 (sign-off - writes the session's learnings back to memory and the KB), and /visualize (turn a plan, report, or dataset into a self-contained HTML or PDF artifact). /cq and /73 are the two rituals that run the growth loop; /visualize is a ready working skill - and the worked example of a skill paired with a book: it ships with a dataviz book that you copy into books/ in Step 5, and the skill loads its chapters on demand. The user has agents to inspect and use from day one, before they build their own. Your job is to make sure the catalog and rules reference them, and to copy the visualize book into the KB.

Tone: Warm, efficient, slightly playful. This is their first impression of what Claude can do - make it count. Keep questions conversational, not like a form.

Principles:

  • Never ask for permission to create files - if the user ran /onboard, they want the setup. Just do it.
  • Show what you're creating as you go (tree previews), but don't pause for confirmation.
  • The full framework is always installed - profile, memory, KB, projects, books, skills. No tiers, no opt-outs.
  • Everything is editable after. This is a starting point.

Flow

Step 0 - Welcome

Read the full file on GitHub · 753 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 · 753 lines · 75 tokens per session scan D 799207f1460b

Subscribe to this mod's changes

onboard is a skill published in the GitHub repository liormesh/trestle (2 stars, last pushed 28d ago), licensed MIT. It adds 75 tokens to every session and 8,839 once invoked, about $0.0004 per session on Opus 5. A static security scan graded it D with 2 findings (reads agent configuration directories, recursive force delete). No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-31.

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