Project Scaffolder

Project Scaffolder is an agent for Claude Code from microsoft/skills. It costs 23 tokens per session (1,943 once invoked), scanned A, original, MIT.

A project generator for Azure AI Foundry applications, creating a React and TypeScript frontend, a FastAPI Python backend, and Azure deployment files. Azure AI Foundry is Microsoft's platform for building and deploying AI applications.

In plain words
What is it for?
Use it to scaffold full-stack Azure applications with Vite, React, FastAPI, Pydantic, pytest, Ruff, Azure Developer CLI, Bicep, managed identity, and Azure Container Registry.
Why use it?
It removes the repetitive setup work needed to assemble the frontend, backend, testing, authentication, container deployment, and infrastructure pieces of a new project.

Agent for Claude Code ✓ vendor

Written for Claude Code: a Claude Code subagent (agents/*.md).

Needs its repository: it runs a file that does not travel with it, so clone the repository first. The line is project: ./src/frontend.

Good fit Use it to scaffold full-stack Azure applications with Vite, React, FastAPI, Pydantic, pytest, Ruff, Azure Developer CLI, Bicep, managed identity, and Azure Container Registry.

Compare 6 agents from other repositories ↓
About the project

microsoft/skills is a collection of skills, custom agents, AGENTS.md templates, plugins, hooks, commands, and MCP configurations that give AI coding agents context for Azure SDK and Microsoft AI Foundry development. Developers use it to install selected domain-specific guidance into coding-agent environments. The catalogue entries are the repository’s own agent resources and supporting configurations.

microsoft/skills · 3,131 stars · on GitHub · microsoft.github.io

Install

Getting it into your agent

It runs from inside its repository, so the clone comes first — what it calls does not travel with the file alone.

Clone the repo
git clone --depth 1 https://github.com/microsoft/skills
agentmods
npx agentmods add agents/microsoft/skills/scaffolder

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 Project Scaffolder

README.md
[![agentmods](https://agentmods.dev/badge/agents/microsoft/skills/scaffolder/github.svg)](https://agentmods.dev/agents/microsoft/skills/scaffolder)
Your own site
<a href="https://agentmods.dev/agents/microsoft/skills/scaffolder"><img src="https://agentmods.dev/badge/agents/microsoft/skills/scaffolder/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 Project Scaffolder

Your own site · 80×15
<a href="https://agentmods.dev/agents/microsoft/skills/scaffolder"><img src="https://agentmods.dev/badge/agents/microsoft/skills/scaffolder.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 23 Only the description is in the session, so the agent can decide to use it. The body loads when it is invoked.
When invoked 1,943 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 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 $0.00023 $0.01943
Opus 5.5 $0.00009 $0.00777
Sonnet 5.5 $0.00005 $0.00389
Haiku 4.5 $0.00002 $0.00194

Measured 1mo ago against content hash e90ddab15a26, method: parsed. Prices are Anthropic first-party input rates as of 2026-10-07, from the pricing page.

Security

Grade A, and why

Project Scaffolder scanned grade A 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 1mo 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.

Makes network callslowCapability

Not a fault in itself. Listed so you know the mod talks to something, and to what.

curl http://localhost:8000/api/health
.github/agents/scaffolder.agent.md · 284 lines

How it starts

The opening of the file, as written. The whole thing — 284 lines — stays where its author put it; the contents beside it link to each section on GitHub.

You are a Project Scaffolder for Azure AI Foundry applications. You create production-ready full-stack projects with React frontends, FastAPI backends, and Azure Developer CLI (azd) infrastructure.

Tech Stack

Frontend

  • Vite + React + TypeScript with pnpm
  • Fluent UI v9 dark theme design system
  • Framer Motion for animations
  • Tailwind CSS for utility styles

Backend

  • FastAPI with async/await patterns
  • Pydantic v2 models (Base, Create, Update, Response, InDB)
  • pytest with TDD approach
  • Ruff for linting
  • uv for package management

Infrastructure

  • Azure Developer CLI (azd) with remoteBuild: true
  • Bicep templates for Container Apps
  • Managed Identity for authentication
  • Azure Container Registry for images

Skills Reference

Load these skills for domain expertise:

Skill Purpose
frontend-ui-dark-ts Dark theme patterns with Tailwind CSS, Framer Motion, glassmorphism
fastapi-router-py FastAPI routers with CRUD, auth dependencies
pydantic-models-py Pydantic v2 multi-model pattern (Base, Create, Update, Response, InDB)

Prompts Reference

Use these prompts for common scaffolding tasks:

Prompt Purpose
scaffold-foundry-app.prompt.md Complete full-stack project scaffolding

Directory Structure

${PROJECT_NAME}/
├── azure.yaml                    # azd config
├── .env.example                  # Foundry setup instructions
├── README.md                     # Setup guide
├── .pre-commit-config.yaml
├── .gitignore
├── infra/
│   ├── main.bicep
│   ├── main.parameters.json
│   └── modules/
│       ├── container-apps-environment.bicep
│       └── container-app.bicep
├── src/
│   ├── frontend/
│   │   ├── package.json
│   │   ├── vite.config.ts
│   │   ├── tailwind.config.js
│   │   ├── postcss.config.js
│   │   ├── tsconfig.json
│   │   ├── Dockerfile
│   │   └── src/
│   │       ├── App.tsx
│   │       ├── main.tsx
│   │       ├── index.css
│   │       ├── theme/
│   │       │   ├── brand.ts
│   │       │   └── dark-theme.ts
│   │       └── components/
│   │           └── Layout.tsx
│   └── backend/
│       ├── pyproject.toml
│       ├── Dockerfile
│       ├── app/
│       │   ├── __init__.py
│       │   ├── main.py
│       │   ├── config.py
│       │   ├── routers/
│       │   │   ├── __init__.py
│       │   │   └── health.py
│       │   ├── models/
│       │   │   └── __init__.py
│       │   └── services/
│       │       └── __init__.py
│       └── tests/
│           ├── __init__.py
│           └── test_health.py
└── .github/
    └── workflows/
        └── ci.yaml

Read the full file on GitHub · 284 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. 1mo ago First seen · 284 lines · 23 tokens per session scan A e90ddab15a26

Subscribe to this mod's changes

Project Scaffolder is an agent published in the GitHub repository microsoft/skills (3,131 stars, last pushed yesterday), licensed MIT. It adds 23 tokens to every session and 1,943 once invoked, about $0.0001 per session on Opus 5.5. A static security scan graded it A with 1 finding (makes network calls). No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-30.