scaffold-app

scaffold-app is a skill for Claude Code, Codex from emilyLi2020/WAVE. It costs 47 tokens per session (1,738 once invoked), scanned A, original, Apache-2.0.

A project-starting workflow that creates a new application with a working route and visible pages. A route is a web address in an application, and the workflow also creates AGENTS.md, a file that gives coding agents project instructions.

In plain words
What is it for?
Choosing a suitable application stack, creating an initial landing page and feature page, adding navigation, and preparing the project for AI coding agents.
Why use it?
It removes the blank-folder problem when someone knows what they want to build but does not know how to begin or which technology to choose.

Skill for Claude CodeCodex

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.

agentmods
npx agentmods add skills/emilyli2020/wave/scaffold-app
Any agent
npx skills add emilyLi2020/WAVE --skill scaffold-app
Clone the repo
git clone --depth 1 https://github.com/emilyLi2020/WAVE

Made for: Claude Code, Codex.

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 scaffold-app

README.md
[![agentmods](https://agentmods.dev/badge/skills/emilyli2020/wave/scaffold-app.svg)](https://agentmods.dev/skills/emilyli2020/wave/scaffold-app)
Your own site
<a href="https://agentmods.dev/skills/emilyli2020/wave/scaffold-app"><img src="https://agentmods.dev/badge/skills/emilyli2020/wave/scaffold-app.svg" alt="Measured on agentmods" height="20"></a>
Per session 47 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 1,738 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. Scan, not verified.
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 $0.00047 $0.01738
Opus 5 $0.00023 $0.00869
Sonnet 5 $0.00009 $0.00348
Haiku 4.5 $0.00005 $0.00174

Measured 5d ago against content hash 3b06076c5668, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-05, from the pricing page.

Security

Grade A, and why

scaffold-app 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 5d 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.

.agents/skills/scaffold-app/SKILL.md · 187 lines

How it starts

The opening of the file, as written. The whole thing — 187 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Scaffold App

The user wants to start a new project from scratch. They have no coding experience and are staring at an empty folder. Get them to a working, visible application as fast as possible.

Step 1: Understand the Goal

Ask the user:

  • What are you building? (one sentence is fine)
  • Who is it for?
  • Do you have a preference for how it looks? (dark mode, light mode, specific colors)

If they are unsure about technology choices, recommend:

  • Next.js + TypeScript + Tailwind CSS for web apps
  • React Native / Expo for mobile apps
  • FastAPI + Python for backend-only APIs

Step 2: Scaffold

Generate the project with these commands (adapt to the chosen stack):

npx create-next-app@latest my-app --typescript --tailwind --app --src-dir
cd my-app

Then immediately create:

  1. A landing page with a heading, subtitle, and one call-to-action button
  2. A second page linked from the landing page (the core feature page, even if empty)
  3. A clean layout with navigation between the two pages

Step 3: Generate AGENTS.md

AGENTS.md is a "README for agents": a dedicated, predictable place to provide context and instructions that help AI coding agents work on the project. It works across Cursor, Claude Code, OpenAI Codex, Google Jules, Aider, Windsurf, GitHub Copilot, and many more tools (see agents.md for the full list).

Create an AGENTS.md file at the project root with these sections, filled in based on the user's project:

# AGENTS.md

## Project Overview
[One paragraph: what this project does and who it's for]

## Setup Commands
- Install deps: `pnpm install`
- Start dev server: `pnpm dev`
- Build for production: `pnpm build`
- Run linter: `pnpm lint`
- Run tests: `pnpm test`

## Tech Stack
- Framework: [e.g., Next.js 15 with App Router]
- Language: [e.g., TypeScript]
- Styling: [e.g., Tailwind CSS v4]
- Database: [e.g., Supabase, or "None yet"]
- Auth: [e.g., NextAuth.js, or "None yet"]
- Deployment: [e.g., Vercel]

## File Structure
- `app/` — Pages and layouts (App Router)
- `components/` — Reusable UI components
- `lib/` — Utility functions and shared logic
- `types/` — TypeScript type definitions
- `public/` — Static assets (images, fonts)

## Code Style
- TypeScript strict mode
- Functional components with hooks; no class components
- Server components by default; add "use client" only when needed
- kebab-case for file names, PascalCase for component names
- Validate all user input with Zod
- Use descriptive variable names (no abbreviations)

## Testing Instructions
- Run `pnpm test` to execute the full test suite
- Add or update tests for any code you change
- Fix any test or type errors until the suite is green
- After moving files or changing imports, run `pnpm lint`

## Security Considerations
- Never hardcode secrets or API keys; use `.env.local` and environment variables
- Never commit `.env.local` to version control
- Ask before database writes or destructive operations
- Ask before deploying to production
- Propose plans before large refactors

## PR Instructions
- Title format: `[feature/fix/chore] Short description`
- Always run `pnpm lint` and `pnpm test` before committing
- Keep diffs small and focused on a single change
- Include a manual test path in the PR description

Read the full file on GitHub · 187 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. 5d ago First seen · 187 lines · 47 tokens per session scan A 3b06076c5668

Subscribe to this mod's changes

scaffold-app is a skill published in the GitHub repository emilyLi2020/WAVE (2 stars, last pushed 2mo ago), licensed Apache-2.0. It adds 47 tokens to every session and 1,738 once invoked, about $0.0002 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 2026-08-31.

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