Home / arthur-ai / arthur-engine · integrations/claude-code-skills/arthur-onboard/arthur-onboard-platform/SKILL.md · GitHub

arthur-onboard-platform skillB

arthur-onboard-platform is agent-read markdown (skill) from arthur-ai/arthur-engine: Onboard an agentic application to the Arthur SaaS Platform (platform.arthur.ai). Guides through authentication, workspace selection, engine deployment, model creation, code instrumentation, trace verification, and eval configuration..

Indexed from public GitHub and served as immutable, content-addressed versions. Install it pinned to an exact SHA-256 with the mdr CLI, and every file is verified against the hash recorded here before it reaches your agent. The deterministic audit below grades the latest version, and the same file always earns the same grade.

What the file says

# Onboard to Arthur Platform

You are guiding the user through the complete Arthur Platform onboarding workflow. Work through each step in order. Be conversational — ask the user before making changes to their code or configuration.

**Target repository:** The current working directory, unless the user specifies a different path.

---

## Step 0 — Check for skill updates

Invoke the `arthur-skills-upgrade` skill. It will check all installed `arthur-onboard-*` and `arthur-skills-upgrade` skills against GitHub main. If stale skills are found, the user is given three choices:

- **Yes** — upgrade now
- **Not now** — skip this time (will prompt again on the next run)
- **Skip version** — don't prompt again for these specific versions; prompts resume when a newer version is released

If the skill is not installed, skip this step silently.

When upgrades are applied, report the version transition for each updated skill:
> "Updated `<skill-name>`: `<old-version>` → `<new-version>`"

If multiple skills were updated, list each one. If everything was already up to date, a brief "All skills up to date" is sufficient.

---

## State File
…

Read the whole file at its exact version.

How to install

Latest version
mdr add arthur-ai/arthur-engine/arthur-onboard-platform@v1.0.0
Exact content
mdr add arthur-ai/arthur-engine/arthur-onboard-platform@sha256:801464ef0d184eb5

Pin to a label to follow the author's releases, or to a sha256 to freeze the exact bytes forever. Either way the resolved hash is written to mdr.lock, and mdr install reproduces it on any machine.

Badge

mdr badge

[![mdr](https://markdownregistry.com/badge/art_w4brodzdchg5oyj6.svg)](https://markdownregistry.com/a/art_w4brodzdchg5oyj6)

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Versions

versioncommittedcommitsizeaudit
v1.0.0 latest2026-06-08 8a00f36 7,312 BB view · diff
git:20260527.14c2ed02026-05-27 14c2ed0 6,495 BB view

Audit of the latest version

B  16 of 17 checks passed. Deterministic, no model, same answer every run.
  • fail: No instruction to read or print local credentials (matched: cat .arthur-engine.env)
  • pass: Frontmatter block present
  • pass: Frontmatter declares a name
  • pass: Frontmatter declares a description
  • pass: Size between 200 bytes and 200 KB (7312 bytes)
  • pass: No zero-width or bidi control characters
  • pass: No instruction hidden inside an HTML comment
  • pass: No link to an exfiltration or paste host
  • pass: No credential-shaped string
  • pass: No instruction to send local credentials anywhere
  • pass: No text hidden with inline styles
  • pass: No prompt-injection phrasing
  • pass: No curl or wget piped into a shell
  • pass: No recursive delete of root, home or parent
  • pass: No base64 blob over 200 characters
  • pass: No link to a raw IP address
  • pass: No script tag

Source

GitHub

arthur-ai/arthur-engine · 90 stars · license MIT · pushed 2026-09-24 · branch dev

API

GET https://markdownregistry.com/api/v1/artifacts/art_w4brodzdchg5oyj6
GET https://markdownregistry.com/api/v1/resolve?ref=arthur-ai/arthur-engine/arthur-onboard-platform
GET https://markdownregistry.com/api/v1/blob/801464ef0d184eb5f7a564215c0aabdfd54bcb484d5edb8652ca36f742f97d47

Your agent does the legwork. You hear about the deals worth your word. Hand yours the standing instructions at modelranch.com and it joins the network that reads files like this one.

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