ralph-to-ralph: Skill for Claude Code

.claude/skills/ralph-to-ralph-onboard/SKILL.md

ralph-to-ralph-onboard is a skill for Claude Code from namuh-eng/ralph-to-ralph. It costs 146 tokens per session (5,662 once invoked), scanned C, original, Apache-2.0.

An interactive setup guide for cloning an existing product from its website. It researches the target, checks whether cloning is practical, asks about the project step by step, and identifies services that still need setup.

In plain words
What is it for?
Use it to start a product-cloning project, assess a target URL, discuss scale and existing setup, and confirm the proposed configuration.
Why use it?
It helps clarify scope, technical feasibility, and required accounts or services before product-cloning work begins.

Skill for Claude Code

Written for Claude Code: installed under .claude/. Also seen: reads .claude/ paths; names the AskUserQuestion tool; mentions Claude Code.

This is namuh-eng/ralph-to-ralph's own configuration. It tells Claude Code how to work on ralph-to-ralph itself, so it is not a mod to install elsewhere. Copy it as a starting point and replace the rules that are about this project. Everything ralph-to-ralph configures →

Needs its repository: it runs a file that does not travel with it, so clone the repository first. The line is "bash ./ralph/ralph-watchdog.sh '$TARGET_URL' 2>&1 | tee ralph-watchdog.log".

Reuse

Borrowing it

Nothing to install: this file belongs to namuh-eng/ralph-to-ralph. Take a copy, put it at the same path in your own repository, and replace the rules that are about this project with yours.

Copy the file
curl -O https://raw.githubusercontent.com/namuh-eng/ralph-to-ralph/main/.claude/skills/ralph-to-ralph-onboard/SKILL.md
Clone the repo
git clone --depth 1 https://github.com/namuh-eng/ralph-to-ralph

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 ralph-to-ralph-onboard

README.md
[![agentmods](https://agentmods.dev/badge/skills/namuh-eng/ralph-to-ralph/ralph-to-ralph-onboard/github.svg)](https://agentmods.dev/skills/namuh-eng/ralph-to-ralph/ralph-to-ralph-onboard)
Your own site
<a href="https://agentmods.dev/skills/namuh-eng/ralph-to-ralph/ralph-to-ralph-onboard"><img src="https://agentmods.dev/badge/skills/namuh-eng/ralph-to-ralph/ralph-to-ralph-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 ralph-to-ralph-onboard

Your own site · 80×15
<a href="https://agentmods.dev/skills/namuh-eng/ralph-to-ralph/ralph-to-ralph-onboard"><img src="https://agentmods.dev/badge/skills/namuh-eng/ralph-to-ralph/ralph-to-ralph-onboard.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 146 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 5,662 The whole file, excluding the scripts and references it only reads on demand.
Security scan C 1 finding. 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 $0.00146 $0.05662
Opus 5 $0.00073 $0.02831
Sonnet 5 $0.00029 $0.01132
Haiku 4.5 $0.00015 $0.00566

Measured 13d ago against content hash b68a3e36687c, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-12, from the pricing page.

Security

Grade C, and why

ralph-to-ralph-onboard scanned grade C with 1 finding 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 13d ago.

The scan reads SKILL.md. This mod also ships 12 executable files (scripts/setup-stack.sh, templates/python-fastapi/app/main.py, templates/python-fastapi/tests/test_health.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.

Recursive force deletehighDestructive command

rm -rf with a variable or a broad path is one typo away from removing the wrong tree.

rm -rf .git
.claude/skills/ralph-to-ralph-onboard/SKILL.md · 480 lines

How it starts

The opening of the file, as written. The whole thing — 480 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Ralph-to-Ralph: Interactive Onboard

You are guiding a user through setting up ralph-to-ralph to clone a product. Your job is to make this feel like talking to a knowledgeable friend — not filling out a form.

Be conversational. Explain things in plain English. Ask one question at a time. Wait for the answer before asking the next one.


Phase 0: Git Pre-flight (silent)

Before asking anything, run this check silently using the Bash tool:

git remote get-url origin 2>/dev/null || echo ""

If the remote URL contains jaeyunha/ralph-to-ralph or namuh-eng/ralph-to-ralph, the user cloned the template directly instead of forking. Prompt them:

"Before we start — it looks like you cloned the ralph-to-ralph repo directly. To keep your project separate, you should reinitialize git with a clean history. Want me to do that now? (Your files won't change — just the git history.)"

If they say yes, run:

rm -rf .git
git init -q
git add .
git -c user.email="user@localhost" -c user.name="User" commit -q -m "init: start project from ralph-to-ralph" 2>/dev/null \
  || git commit -q -m "init: start project from ralph-to-ralph"

Then tell them: "Done — clean history. You'll want to create a new repo on GitHub and run git remote add origin YOUR_REPO_URL once we're set up."

If they say no, continue without reinitializing.

If the remote is empty (degit user) or already points to their own repo, skip this phase entirely.


Phase 1: Get the Target

Ask: "What product do you want to clone? Give me the URL."

If they give you just a domain (e.g. resend.com), treat it as https://resend.com.

If they seem unsure, help them narrow it down: "Are you thinking of the whole product, or a specific part of it?"


Phase 2: Research the Product

Use WebSearch and WebFetch to learn about the target. Do this silently before asking any more questions — come back informed.

2a: Locate the Documentation

Before deep research, find where the product's docs actually live. They're often on a different subdomain:

Read the full file on GitHub · 480 lines

Files

What ships with it

40 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. 13d ago First seen · 480 lines · 146 tokens per session scan C b68a3e36687c

Subscribe to this mod's changes

ralph-to-ralph-onboard is a skill published in the GitHub repository namuh-eng/ralph-to-ralph (101 stars, last pushed 3mo ago), licensed Apache-2.0. It adds 146 tokens to every session and 5,662 once invoked, about $0.0007 per session on Opus 5. A static security scan graded it C with 1 finding (recursive force delete). No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-30.

Related

Other skills, from other repositories

systematic-debugging

Use when encountering any bug, test failure, or unexpected behavior, before proposing fixes.

obra/superpowers · 21 tokens

local-ai-agents

Build local-first AI agents that run entirely on a developer workstation with Microsoft Foundry Local and Qwen function-calling models. Covers Small Language Models (SLMs), the OpenAI-compatible local endpoint, sandboxed local tools, local RAG with Chroma, local MCP servers, hybrid cloud/local routing, and the…

microsoft/ai-agents-for-beginners · 200 tokens

next-cache-components-adoption

Turn on Cache Components in a Next.js app and resolve the blocking routes it surfaces. Use when the user wants to enable, adopt, or migrate to Cache Components, flip the cacheComponents flag, work through a flood of blocking-prerender / instant validation errors, run the cache-components-instant-false codemod, or…

vercel/next.js · 95 tokens

chat-pet-sprite-creation

Use when creating or changing VS Code chat pet sprite art, sprite sheets, state animations, eye treatments, Stable/Insiders variants, or pet transitions under src/vs/workbench/contrib/chat/browser/widget/media/chatPet.

microsoft/vscode · 53 tokens

cpu-profile-analysis

Analyze V8/Chrome CPU profiles (.cpuprofile) and DevTools trace files (Trace-.json). Use when: profiling performance, investigating slow functions, comparing code paths, finding bottlenecks, analyzing timeToRequest, understanding call trees from sampling profiler data, analyzing layout/paint/rendering, investigating…

microsoft/vscode · 71 tokens

insight-error-page

Write or audit an insight-kind error page for the Next.js dev overlay. Use when creating a new errors/ .mdx page, auditing an existing one, or checking that a page matches the framework fix cards. Covers page structure, title alignment, FixCard cards with Copy prompt button, code snippets, terminology verification…

vercel/next.js · 83 tokens