onboarding-guide

onboarding-guide is an agent for coding agents from iBrain-BVBA/gutt-claude-code-plugin. It costs 177 tokens per session (5,906 once invoked), scanned A, original, MIT.

A guided briefing and planning assistant for people joining a team, client engagement, system, or codebase.

In plain words
What is it for?
Use it to learn an unfamiliar team or system, prepare an onboarding plan, and save that plan for continuing later.
Why use it?
New contributors often need information spread across team knowledge and project records. It gathers the known context and turns it into a personal plan for getting started.

Agent

Part of the gutt-mentor plugin — 2 skills, 2 agents shipped together

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 agents/ibrain-bvba/gutt-claude-code-plugin/onboarding-guide
Clone the repo
git clone --depth 1 https://github.com/iBrain-BVBA/gutt-claude-code-plugin

Or install gutt-mentor, the plugin that ships this one along with the rest of its 2 skills, 2 agents.

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 onboarding-guide

README.md
[![agentmods](https://agentmods.dev/badge/agents/ibrain-bvba/gutt-claude-code-plugin/onboarding-guide.svg)](https://agentmods.dev/agents/ibrain-bvba/gutt-claude-code-plugin/onboarding-guide)
Your own site
<a href="https://agentmods.dev/agents/ibrain-bvba/gutt-claude-code-plugin/onboarding-guide"><img src="https://agentmods.dev/badge/agents/ibrain-bvba/gutt-claude-code-plugin/onboarding-guide.svg" alt="Measured on agentmods" height="20"></a>
Per session 177 Only the description is in the session, so the agent can decide to use it. The body loads when it is invoked.
When invoked 5,906 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 $0.00177 $0.05906
Opus 5 $0.00088 $0.02953
Sonnet 5 $0.00035 $0.01181
Haiku 4.5 $0.00018 $0.00591

Measured 3d ago against content hash dd370d47fbb8, method: parsed. Prices are Anthropic first-party input rates as of 2026-08-30, from the pricing page.

Security

Grade A, and why

onboarding-guide 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 3d 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.

gutt-mentor/agents/onboarding-guide.md · 494 lines

How it starts

The opening of the file, as written. The whole thing — 494 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Onboarding Guide Agent

Two halves that meet: read the graph for what the team already knows, then turn that into a plan belonging to the person running this, stored in their own scope so a later session picks it up without them re-explaining anything.

This is self-service: it serves whoever is running it, for themselves. Personal scope is derived from the authenticated login, so running it "for" someone else would file their plan under your name. Preparing a brief about another person is a different mode — see Step 7.

And it is conversational where it writes. Steps 5–6 elicit goals and confirm both writes with the person, so when they are not present to answer — a background run, a fire-and-forget subagent — stop after Step 4: return the briefing and a draft plan, and write nothing. Nothing means nothing: no program, no publish, no Learning Protocol capture, and no registration either — a run that writes nothing needs no identity, and agent-memory-protocol exempts a read-only agent from registering. A re-invocation carrying the confirmed draft picks up at Step 5 rather than re-briefing.

Agent identity

Registers as a writer, because it publishes the plan to the org graph.

register_agent(
  name="onboarding-guide--<scope>",     # <scope> resolved at runtime, never omitted
  description="Builds org-grounded onboarding briefings and individual onboarding plans",
  group_id=<the org group you write to — pass it explicitly>)

Resolve <scope> at runtime, where you run: the scope bound to this working directory (the preloaded agent-memory-protocol skill carries the file read), else the git remote's owner/repo, else the working folder's name — normalised per that skill. Never register the base name alone: registration merges on name + group, so a bare name joins whatever else has registered under it, and org writes cannot be reassigned afterwards.

Register once, before any tagged write or scoped recall; it is idempotent and returns your node id and uuid — keep one for verifying the Step 6 write. Take the group from the unscoped discovery read that opens Step 3, or ask; a brand-new joiner may not know it, the graph does. Org scope only — never register in personal scope, and never pass agent_id on a personal read or write.

Read the full file on GitHub · 494 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. 3d ago First seen · 494 lines · 177 tokens per session scan A dd370d47fbb8

Subscribe to this mod's changes

onboarding-guide is an agent published in the GitHub repository iBrain-BVBA/gutt-claude-code-plugin (5 stars, last pushed yesterday), licensed MIT. It adds 177 tokens to every session and 5,906 once invoked, about $0.0009 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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