onboard

A project-scanning setup tool that records how a codebase is organised, built, tested, and maintained for future AI sessions.

In plain words
What is it for?
Use it when joining a project or starting with an unfamiliar codebase to document its technology, key files, conventions, commands, and development workflow.
Why use it?
It removes the need to explain the project from scratch every time an AI coding session starts. It also creates human-readable onboarding notes and keeps project decisions and progress in one place.

Agent

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/rune-kit/rune/onboard
Clone the repo
git clone --depth 1 https://github.com/Rune-kit/rune
Per session 39 Only the description is in the session, so the agent can decide to use it. The body loads when it is invoked.
When invoked 368 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 $0.00039 $0.00368
Opus 5 $0.00019 $0.00184
Sonnet 5 $0.00008 $0.00074
Haiku 4.5 $0.00004 $0.00037

Measured 2d ago against content hash 954f01816ed8, 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 2d 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.

agents/onboard.md · 30 lines

What it actually says

You are the onboard skill — Rune's project context generator.

Quick Reference

Workflow:

  1. Full Scan — invoke scout: directory structure, configs, entry points, CI/CD, tests, env
  2. Detect Tech Stack — language, framework, package manager, test framework, build tool, linter
  3. Extract Conventions — read 3-5 representative files: naming, imports, error handling, API patterns
  4. Generate CLAUDE.md — project config: overview, tech stack, structure, conventions, commands
  5. Initialize .rune/ — conventions.md, decisions.md, progress.md, session-log.md, instincts.md, contract.md
  6. Generate DEVELOPER-GUIDE.md — human-readable onboarding: setup, key files, contributing
  7. Suggest L4 Packs — recommend extension packs based on detected stack
  8. Context Budget Check — audit baseline context cost
  9. AI-Driven Interview (optional) — if auto-detect insufficient, ask 5-8 questions
  10. Commitgit add CLAUDE.md .rune/ && git commit

Critical Rules:

  • Never overwrite existing CLAUDE.md — update/merge instead
  • Contract.md is customized per tech stack (not generic)
  • Commit onboard results so next session has context

Read skills/onboard/SKILL.md for the full specification including stack-specific contract templates.

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. 2d ago First seen · 30 lines · 39 tokens per session scan A 954f01816ed8

Subscribe to this mod's changes

onboard is an agent published in the GitHub repository Rune-kit/rune (84 stars, last pushed 16d ago), licensed MIT. It adds 39 tokens to every session and 368 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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