full-stack-ai-agent-template CLAUDE.md

full-stack-ai-agent-template CLAUDE.md is an instructions file for coding agents from vstorm-co/full-stack-ai-agent-template. It costs 1,305 tokens per session, scanned A, original, MIT.

Repository instructions for a command-line generator that creates FastAPI and Next.js applications from reusable templates, with optional AI, search, databases, and integrations.

In plain words
What is it for?
Use them when installing dependencies, generating an application, running tests, formatting code, linting, or checking types.
Why use it?
They collect the project overview and everyday commands in one place, so contributors can work and test consistently.

Instructions file

About the project

Full-Stack AI Agent Template generates full-stack AI applications with a FastAPI backend and Next.js frontend, including agents, retrieval-augmented generation, streaming, authentication, and integrations. It is for building AI products with features such as chat, conversation sharing, administration, and multiple agent or vector-database choices. Catalogue add-ons support the generated applications and their agent workflows.

vstorm-co/full-stack-ai-agent-template · 1,878 stars · on GitHub

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 instructions/vstorm-co/full-stack-ai-agent-template/claude-md
Clone the repo
git clone --depth 1 https://github.com/vstorm-co/full-stack-ai-agent-template

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 full-stack-ai-agent-template CLAUDE.md

README.md
[![agentmods](https://agentmods.dev/badge/instructions/vstorm-co/full-stack-ai-agent-template/claude-md.svg)](https://agentmods.dev/instructions/vstorm-co/full-stack-ai-agent-template/claude-md)
Your own site
<a href="https://agentmods.dev/instructions/vstorm-co/full-stack-ai-agent-template/claude-md"><img src="https://agentmods.dev/badge/instructions/vstorm-co/full-stack-ai-agent-template/claude-md.svg" alt="Measured on agentmods" height="20"></a>
Per session 1,305 This file is loaded in full into every session.
When invoked 1,305 The same file — it is already loaded in full.
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 $0.01305 $0.01305
Opus 5 $0.00652 $0.00652
Sonnet 5 $0.00261 $0.00261
Haiku 4.5 $0.00130 $0.00130

Measured 5d ago against content hash 22a3214140f6, method: parsed. Prices are Anthropic first-party input rates as of 2026-08-30, from the pricing page.

Security

Grade A, and why

full-stack-ai-agent-template CLAUDE.md 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.

CLAUDE.md · 118 lines

How it starts

The opening of the file, as written. The whole thing — 118 lines — stays where its author put it; the contents beside it link to each section on GitHub.

CLAUDE.md

This file provides guidance to Claude Code (claude.ai/code) when working with code in this repository.

Project Overview

Full-Stack AI Agent Template is an interactive CLI tool that generates production-ready FastAPI + Next.js projects with AI agents, RAG, and 20+ enterprise integrations. Uses Cookiecutter templates with Jinja2 conditionals.

Commands

# Install dependencies
uv sync

# Run tests
uv run pytest

# Run single test
uv run pytest tests/test_file.py::test_name -v

# Linting and formatting
uv run ruff check . --fix
uv run ruff format .

# Type checking
uv run ty check

CLI Usage

# Interactive wizard (default)
fastapi-fullstack

# Quick project creation
fastapi-fullstack create my_project --database postgresql

# With RAG
fastapi-fullstack create my_project --ai-framework pydantic_ai --rag --database postgresql --task-queue celery

# List available options
fastapi-fullstack templates

Architecture

Core Modules (fastapi_gen/)

  • cli.py - Click-based CLI: new (interactive, default), create (direct), templates (list options)
  • config.py - Pydantic models: ProjectConfig, enums (AIFrameworkType, LLMProviderType, VectorStoreType, etc.), validation, cookiecutter context
  • prompts.py - Questionary-based interactive prompts → ProjectConfig
  • generator.py - Cookiecutter invocation and post-generation messaging

Template System (template/)

template/
├── cookiecutter.json                    # Default context (~120 variables)
├── hooks/post_gen_project.py            # Post-gen cleanup & formatting
└── {{cookiecutter.project_slug}}/
    ├── backend/
    │   ├── app/
    │   │   ├── main.py                  # FastAPI app with lifespan
    │   │   ├── api/                     # Routes, deps, exception handlers
    │   │   ├── core/                    # Config, security, middleware
    │   │   ├── db/                      # Models, session management
    │   │   ├── schemas/                 # Pydantic request/response models
    │   │   ├── repositories/            # Data access layer
    │   │   ├── services/               # Business logic
    │   │   ├── agents/                  # AI agents (5 frameworks)
    │   │   ├── rag/                     # RAG module (4 vector stores, embeddings, sources)
    │   │   │   └── connectors/          # Sync source connectors (Google Drive, S3)
    │   │   ├── commands/                # Django-style CLI commands
    │   │   └── worker/                  # Background tasks (Celery/Taskiq/ARQ)
    │   ├── cli/                         # Generated project CLI
    │   └── alembic/                     # Migrations (if SQL DB)
    └── frontend/                        # Next.js 15 (optional)
        └── src/
            ├── app/[locale]/            # i18n-routed pages (PL/EN)
            │   ├── (marketing)/         # Public pages (home, pricing, blog, legal)
            │   ├── (auth)/              # Login, register, reset-password
            │   ├── chat/, kb/, settings/, admin/
            │   └── auth/magic-link/     # Magic-link verify
            ├── components/
            │   ├── marketing/           # Hero, features, pricing, FAQ, CTAs
            │   ├── legal/               # privacy/terms/cookies content (per-locale)
            │   ├── auth/, chat/, kb/, settings/, dashboard/, admin/
            │   └── ui/                  # shadcn-style primitives
            └── app/{icon,opengraph-image,manifest,robots,sitemap}.tsx

Read the full file on GitHub · 118 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 · 118 lines · 1,305 tokens per session scan A 22a3214140f6

Subscribe to this mod's changes

full-stack-ai-agent-template CLAUDE.md is an instructions file published in the GitHub repository vstorm-co/full-stack-ai-agent-template (1,878 stars, last pushed yesterday), licensed MIT. It adds 1,305 tokens to every session, about $0.0065 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 2026-08-30.