archflow-onboard SKILL.md skillA

archflow-onboard from azidan/archflow is an agent skill: a SKILL.md folder an AI agent loads when a task calls for it.

Install it, pinned
mdr add azidan/archflow/archflow-onboard@git:20261010.2417545

Pins git:20261010.2417545 in mdr.lock. Pin the fingerprint instead.

Audit grade
A, 17 of 17 checks passed
Kind
SKILL.md skill
Repository
azidan/archflow
Path
adapters/codex/.agents/skills/archflow-onboard/SKILL.md
Versions recorded
3
Latest version
git:20261010.2417545, committed Oct 10, 2026
First version recorded
Sep 11, 2026
Size
28,718 bytes
Repository stars
29
License
MIT

Set up Archflow in an EXISTING codebase — audit code, import context, pick the phase.

Collected from public GitHub. Every version is saved exactly as it was and never changes. Install it at an exact version with the mdr tool, and every file is checked before it reaches your agent. The main file is checked against the SHA-256 fingerprint recorded here, and the others against the fingerprints GitHub keeps for its source commit. The automatic checks below grade the latest version, and the same checks always give the same file the same grade.

What the file says

> Invoke with `$archflow-onboard`. Arguments are the text after the mention.

# $archflow-onboard — Existing Codebase Onboarding Wizard

> **Before you start:** run `$archflow-doctor` to see what is installed and what is
> missing. It reports only — it never installs anything — and it names the exact command
> for each gap.

Onboard an existing codebase to the phase-based development framework. Three-phase orchestration: gather user input upfront, dispatch specialized agents for deep analysis, then synthesize and present results.

## Usage
```
$archflow-onboard          → Start or resume the onboarding wizard
```

## Prerequisites
- Must be run from the project's root directory
- The project should have existing source code (otherwise use Phase 1 setup normally)

## Detailed Rules
Load `.archflow/phases/phase-onboarding.md` for audit logic, project type detection, extraction rules, structured output schemas, agent prompt templates, and synthesis rules.

---

## Entry Check — ALWAYS RUN FIRST

**Before writing any response**, execute these steps in order using your tools:

### Step E1: Check for in-progress wizard
```bash
# Tool call: check if .onboard-progress.yaml exists
```
…

Read the whole file at its exact version.

How to install

The exact contents, by fingerprint
mdr add azidan/archflow/archflow-onboard@sha256:9daa1b459c52d5a5

The line at the top of this page pins the label git:20261010.2417545, which is what most people want. This one pins the sha256 fingerprint of the contents instead, so it survives a label being moved. Either way the exact version is written to mdr.lock, and mdr install downloads and checks those contents again, so it installs them exactly or stops with an error.

Badge

mdr badge

[![mdr](https://markdownregistry.com/badge/art_xw6n2d67ygp4reud.svg)](https://markdownregistry.com/a/art_xw6n2d67ygp4reud)

3 badge image fetches in 30 days. What the badge shows.

Versions

The registry has recorded 3 versions of this file, between Sep 11, 2026 and Oct 10, 2026, about one every 14 days.

versioncommittedcommitsizeaudit
git:20261010.2417545 latest2026-10-10 2417545 28,718 BA view · diff
git:20261010.ff658152026-10-10 ff65815 28,703 BA view · diff
git:20260911.a26fb9f2026-09-11 a26fb9f 28,626 BA view

Audit of the latest version

A  17 of 17 checks passed. Fixed automatic checks with no AI involved, so the same checks give the same answer every run.
  • pass: Frontmatter block present
  • pass: Frontmatter declares a name
  • pass: Frontmatter declares a description
  • pass: Size between 200 bytes and 200 KB (28718 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 instruction to read or print local credentials
  • pass: No base64 blob over 200 characters
  • pass: No link to a raw IP address
  • pass: No script tag

Source

GitHub

azidan/archflow · 29 stars · license MIT · pushed 2026-11-06 · branch main

API

GET https://markdownregistry.com/api/v1/artifacts/art_xw6n2d67ygp4reud
GET https://markdownregistry.com/api/v1/resolve?ref=azidan/archflow/archflow-onboard
GET https://markdownregistry.com/api/v1/blob/9daa1b459c52d5a58907d68fa1b8a50ae0b2d47f6a4f23f5bc2e3df80564ce0b

Your AI assistant 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.

Guides: the SKILL.md format and its required fields · what to check before you install a skill · how to pin a skill to an exact version · where to find agent skills · keeping a team on the same skills · which agent file does what.

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Every file in azidan/archflow

Other files named archflow-onboard

archflow-onboard SKILL.md skill
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archflow-onboard SKILL.md skill
azidan/archflow · adapters/generic/.agents/skills/archflow-onboard/SKILL.md · Use ONLY when the user asks for $archflow-onboard or "archflow onboard". Set up Archflow in an EXISTING codebase —…
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