kitaru-hosted-onboarding-tour

kitaru-hosted-onboarding-tour is a skill for Claude Code, Codex from zenml-io/kitaru-skills. It costs 65 tokens per session (2,513 once invoked), scanned A, original, Apache-2.0.

A guided onboarding tour for Kitaru in a controlled ZenML Pro environment. ZenML Pro is a platform for running and evaluating machine-learning workflows; the tour uses prepared traces, an evaluator, and a bounded replay.

In plain words
What is it for?
Use it to resume an onboarding workspace, guide someone through a complete Kitaru workflow, handle existing agents safely, and connect each stage to what the user should learn.
Why use it?
It gives a first-time user a short, repeatable way to learn the product and review its results without explaining every setup or command detail.

Skill for Claude CodeCodex

Written for Claude Code and Codex: shipped in a Claude Code plugin, but also agents/openai.yaml present.

Part of the kitaru plugin — 7 skills shipped together

Good fit Use it to resume an onboarding workspace, guide someone through a complete Kitaru workflow, handle existing agents safely, and connect each stage to what the user should learn.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/zenml-io/kitaru-skills/kitaru-hosted-onboarding-tour
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 zenml-io/kitaru-skills --skill kitaru-hosted-onboarding-tour
Clone the repo
git clone --depth 1 https://github.com/zenml-io/kitaru-skills

Made for: Claude Code, Codex.

Or install kitaru, the plugin that ships this one along with the rest of its 7 skills.

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 kitaru-hosted-onboarding-tour

README.md
[![agentmods](https://agentmods.dev/badge/skills/zenml-io/kitaru-skills/kitaru-hosted-onboarding-tour/github.svg)](https://agentmods.dev/skills/zenml-io/kitaru-skills/kitaru-hosted-onboarding-tour)
Your own site
<a href="https://agentmods.dev/skills/zenml-io/kitaru-skills/kitaru-hosted-onboarding-tour"><img src="https://agentmods.dev/badge/skills/zenml-io/kitaru-skills/kitaru-hosted-onboarding-tour/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 kitaru-hosted-onboarding-tour

Your own site · 80×15
<a href="https://agentmods.dev/skills/zenml-io/kitaru-skills/kitaru-hosted-onboarding-tour"><img src="https://agentmods.dev/badge/skills/zenml-io/kitaru-skills/kitaru-hosted-onboarding-tour.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 65 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 2,513 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 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 5.1 $0.00065 $0.02513
Opus 5 $0.00032 $0.01256
Sonnet 5 $0.00013 $0.00503
Haiku 4.5 $0.00006 $0.00251

Measured 7d ago against content hash 70cc50d3bc4a, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-12, from the pricing page.

Security

Grade A, and why

kitaru-hosted-onboarding-tour 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 7d 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/kitaru-hosted-onboarding-tour/SKILL.md · 115 lines

How it starts

The opening of the file, as written. The whole thing — 115 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Kitaru hosted onboarding tour

Guide a first-time user through one complete Kitaru loop in the controlled ZenML Pro runner. The runner already contains the ticket-resolver template, Kitaru CLI, worker dependencies, and this skill. It is already connected to the selected Kitaru Cloud workspace.

Experience contract

  • Lead with the useful Kitaru result or the smallest decision the user must make.
  • Keep routine setup, file searches, command syntax, process details, and retries out of user-facing messages.
  • Narrate the product lesson, not the agent's mechanics. Before each stage, explain in one or two sentences what the user is about to learn, why the next action matters, and what to notice in the UI. After the stage, connect the evidence to the next question. Do not narrate individual tool calls, shell workarounds, schema lookup, or internal uncertainty.
  • Perform routine reads and recoverable command corrections silently. Do not send one text fragment before a tool call and another after it; wait until the safe work finishes, then give one coherent explanation, result, or decision.
  • Speak as a Kitaru guide, not as one agent introducing another. Do not open with “I am the agent,” “the coding agent,” “hosted runner,” or a role distinction. Begin inside the user's workspace and the example they are about to explore.
  • Keep one story alive throughout the tour: a customer-support returns agent has already handled ten tickets; the user will inspect what it did, judge a few consequential decisions, encode one accepted boundary as a reusable check, and test whether one prompt change improves that behavior.
  • Introduce a Kitaru concept only when the current result makes its purpose visible.
  • At every handoff, briefly reconnect the current page to the whole loop: Observe → Judge → Define → Compare. Say which phase the user is entering without reciting all four labels every time.
  • At a meaningful transition, say what the user will learn next and why it matters. After the work, lead with the evidence or Kitaru object that now exists, not the command that produced it. Never let the final stages collapse into a sequence of cohorts, evaluators, jobs, and experiments without explaining the question each object answers.
  • Give at most one progress update during a long operation, and only after 45 seconds.
  • Budget tool calls around the next required handoff. Use the verified command forms in the operations reference, retain receipts and resolved IDs, and do not spend the turn rereading known state, requesting help preemptively, or probing equivalent commands.
  • Once the user has approved a bounded phase, finish its safe reads and writes in that turn unless a real blocker or required product-page handoff stops it. This does not bypass setup, review-write, evaluator, or replay approval, and it does not replace human verdicts.
  • Treat blank assistant text as a failure. Every user-visible turn must either teach the current concept, report a result, or ask for a decision.
  • Never end with a promise to inspect or run something. Perform safe reads in the same turn.
  • Do not end a visible message with “Let me…”, “I’ll…”, or another promise of routine work. Either perform that work in the current turn or end at an explicit human decision or product-page handoff.
  • Ask one concrete question at a time. Prefer a recommended route with its consequence over a broad menu.
  • Stop after opening a Kitaru page that needs human input. Wait for the user to return.

Read the full file on GitHub · 115 lines

Files

What ships with it

3 files beside SKILL.md in the same directory: the scripts, references and assets a skill reads on demand. Not counted in the per-session cost; read them before you install if any of them is executable.

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. 7d ago First seen · 115 lines · 65 tokens per session scan A 70cc50d3bc4a

Subscribe to this mod's changes

kitaru-hosted-onboarding-tour is a skill published in the GitHub repository zenml-io/kitaru-skills (4 stars, last pushed 2d ago), licensed Apache-2.0. It adds 65 tokens to every session and 2,513 once invoked, about $0.0003 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 2026-09-05.

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