onboard

onboard is a skill for Claude Code from Rockielab/rockie-codex. It costs 117 tokens per session (1,564 once invoked), scanned A, a copy of onboard, Apache-2.0.

A one-time interview that records a researcher's preferences, beliefs, working methods, writing style, and rejected approaches for future agent sessions. The result is stored as a reusable taste and methods record.

In plain words
What is it for?
Use it during first-time setup, to refresh the full record, to update selected sections, or to run a deeper interview.
Why use it?
It prevents the agent from having to rediscover the same preferences in every conversation. It gives later work a durable reference for judgment and communication.

Skill for Claude Code

Written for Claude Code: SessionStart hook event. Also seen: mentions AGENTS.md.

Good fit Use it during first-time setup, to refresh the full record, to update selected sections, or to run a deeper interview.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/rockielab/rockie-codex/onboard
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.

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

Made for: Claude Code.

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/rockielab/rockie-codex/onboard/github.svg)](https://agentmods.dev/skills/rockielab/rockie-codex/onboard)
Your own site
<a href="https://agentmods.dev/skills/rockielab/rockie-codex/onboard"><img src="https://agentmods.dev/badge/skills/rockielab/rockie-codex/onboard/github.svg" alt="Measured on agentmods" height="20"></a>

Or the 80×15 button, for a site that already has a row of RSS and ATOM ones. Only the verdict fits; the numbers stay here.

agentmods 80×15 button for onboard

Your own site · 80×15
<a href="https://agentmods.dev/skills/rockielab/rockie-codex/onboard"><img src="https://agentmods.dev/badge/skills/rockielab/rockie-codex/onboard.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 117 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 1,564 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. A grade says what 26 rules found in the file — not that it is safe.
Origin 95% copy Near-identical to another mod 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 5.1 $0.00117 $0.01564
Opus 5 $0.00059 $0.00782
Sonnet 5 $0.00023 $0.00313
Haiku 4.5 $0.00012 $0.00156

Measured 9d ago against content hash 695f9c3d2be8, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-08, 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 9d ago.

The scan reads SKILL.md. This mod also ships 2 executable files (runtime/compile.py, runtime/test_lab_charter_prompt.py), listed below but not scanned — reading those needs a real analyzer, not pattern matching.

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.

Origin

This is a copy

95% identical to onboard — 2 lines differ, which has more behind it and is treated as the original. This page carries a canonical link to it rather than competing with it.

project-extension/agents/skills/onboard/SKILL.md · 134 lines

How it starts

The opening of the file, as written. The whole thing — 134 lines — stays where its author put it; the contents beside it link to each section on GitHub.

/onboard — researcher taste interview

The marquee onboarding skill. Produces a durable, agent-injectable record of who the researcher is, what they believe, how they judge work, and what dead ends they refuse to revisit.

Sister to AGENTS.md. AGENTS.md says what to do in this repo. The taste/ corpus says who this researcher is — installed per-repo today, with cross-repo portability planned (symlink ~/.rockie/taste/<repo>/.rockie/taste/ is the recommended manual interim).

When to run

  • First-run — SessionStart hook flags absence of .rockie/taste/INDEX.md; agent suggests /onboard.
  • Explicit invocation — user types /onboard.
  • Refresh/onboard --redo rewrites everything; /onboard --section <soul|style|methodology|dismissals> refreshes one file.
  • Deep mode/onboard --deep runs Tier 2 (20–30 min, voice-first laddering). Otherwise Tier 1 (5–7 questions, ~5 min).

What the skill does

  1. Loads prompts/interviewer-tier1.md (or interviewer-tier2.md if --deep) into the active agent's system context.
  2. The agent runs the interview turn-by-turn following the prompt's phase-gated state machine. The user answers via text or /voice tap.
  3. As the interview progresses, the agent writes intermediate state to .rockie/taste/.draft.json after every turn (so the session can be resumed if interrupted).
  4. When coverage reaches the end-condition, the agent emits a summary round, asks the user to confirm or correct, then runs runtime/compile.py to produce the six markdown files in .rockie/taste/.
  5. The agent opens INDEX.md in the user's editor for final review, then commits the corpus.

Hard rules

  • One question per turn. The interviewer prompt enforces this with a question-mark self-check; the agent must respect it.
  • Never press a dodged question. Mark SOFT in the scratchpad and move on. Pressing produces confabulation, not truth.
  • Never silently rewrite an existing taste file. /onboard --redo is explicit; the agent cannot decide to overwrite SOUL.md unprompted. (MEMORY.md and DISMISSALS.md are append-only and may be written to by Stop-hook flow, not this skill.)
  • Never invent answers. If the user is short on a topic, the generated file marks the topic as [SOFT — needs deepening] rather than embellishing.
  • Voice opt-in only. Tier 1 is text-default; Tier 2 prompts the user to /voice tap for each answer if they want, but never requires it.

Read the full file on GitHub · 134 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. 9d ago First seen · 134 lines · 117 tokens per session scan A 695f9c3d2be8

Subscribe to this mod's changes

onboard is a skill published in the GitHub repository Rockielab/rockie-codex (20 stars, last pushed 1mo ago), licensed Apache-2.0. It adds 117 tokens to every session and 1,564 once invoked, about $0.0006 per session on Opus 5. A static security scan graded it A with 0 findings. It is 95% identical to onboard, differing in 2 lines, and is treated as a copy.

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