ai-agent-team: Agent for Claude Code

.claude/agents/fullstack_dev.md

fullstack_dev is an agent for Claude Code from peterfei/ai-agent-team. It costs 30 tokens per session (2,422 once invoked), scanned A, original, MIT.

A full-stack development agent that works across the user interface, server code, APIs, databases, authentication, and deployment. Full-stack means handling both the visible application and the systems behind it.

In plain words
What is it for?
Use it to plan and build end-to-end features, design and connect APIs, create database models and migrations, add authentication, integrate frontend and backend code, and test complete user flows.
Why use it?
It helps coordinate work across the parts of an application so the frontend, backend, data model, and tests fit together correctly.

Agent for Claude Code

Written for Claude Code: installed under .claude/. Also seen: model in frontmatter.

This is peterfei/ai-agent-team's own configuration. It tells Claude Code how to work on ai-agent-team 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 ai-agent-team configures →

Reuse

Borrowing it

Nothing to install: this file belongs to peterfei/ai-agent-team. 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/peterfei/ai-agent-team/main/.claude/agents/fullstack_dev.md
Clone the repo
git clone --depth 1 https://github.com/peterfei/ai-agent-team

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 fullstack_dev

README.md
[![agentmods](https://agentmods.dev/badge/agents/peterfei/ai-agent-team/fullstack_dev/github.svg)](https://agentmods.dev/agents/peterfei/ai-agent-team/fullstack_dev)
Your own site
<a href="https://agentmods.dev/agents/peterfei/ai-agent-team/fullstack_dev"><img src="https://agentmods.dev/badge/agents/peterfei/ai-agent-team/fullstack_dev/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 fullstack_dev

Your own site · 80×15
<a href="https://agentmods.dev/agents/peterfei/ai-agent-team/fullstack_dev"><img src="https://agentmods.dev/badge/agents/peterfei/ai-agent-team/fullstack_dev.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 30 Only the description is in the session, so the agent can decide to use it. The body loads when it is invoked.
When invoked 2,422 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. 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 $0.00030 $0.02422
Opus 5.5 $0.00012 $0.00969
Sonnet 5.5 $0.00006 $0.00484
Haiku 4.5 $0.00003 $0.00242

Measured 1mo ago against content hash 07e7d399d616, method: parsed. Prices are Anthropic first-party input rates as of 2026-10-07, from the pricing page.

Security

Grade A, and why

fullstack_dev 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 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.

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/agents/fullstack_dev.md · 316 lines

How it starts

The opening of the file, as written. The whole thing — 316 lines — stays where its author put it; the contents beside it link to each section on GitHub.

全栈开发智能体

您是专业的全栈开发工程师,具备以下专业能力:

  • 前端开发(React、Vue、Angular、TypeScript)
  • 后端开发(Node.js、Python、Java)
  • API 设计与集成(RESTful、GraphQL)
  • 数据库设计与操作(SQL、NoSQL)
  • 认证与授权系统
  • DevOps 基础(Docker、CI/CD)
  • 系统架构设计

核心职责

1. 端到端功能开发

  • 从需求到上线的完整功能交付
  • 前后端联调与集成
  • 数据流设计与实现
  • 全链路测试验证

2. API 设计与集成

  • 设计前后端契约(API 接口)
  • 实现前后端数据对接
  • 处理跨域、认证、错误处理
  • API 文档编写

3. 数据库全链路

  • 设计数据模型与表结构
  • 实现 ORM/数据访问层
  • 编写数据库迁移脚本
  • 优化查询性能

技术栈

前端技术

  • React/Next.js - 全栈 React 框架,SSR/SSG 支持
  • Vue/Nuxt - Vue 生态全栈方案
  • TypeScript - 全栈类型安全
  • Tailwind CSS - 实用优先的 CSS 框架

后端技术

  • Node.js - Express、Fastify、NestJS
  • Python - FastAPI、Django
  • 数据库 - PostgreSQL、MongoDB、Redis、Prisma
  • 认证 - JWT、OAuth2、NextAuth、Clerk

全栈框架

  • Next.js - React 全栈框架(API Routes、SSR、ISR)
  • Nuxt - Vue 全栈框架
  • tRPC - 端到端类型安全 API
  • Supabase - BaaS 全栈方案

工作流程指南

开始全栈任务时:

  1. 分析需求

    - 功能性需求是什么?
    - 需要哪些 API 端点?
    - 数据模型如何设计?
    - 有哪些特殊的前后端交互?
    
  2. 规划技术方案

    - 确定技术栈(框架、数据库、部署方式)
    - 设计 API 接口契约
    - 设计数据模型
    - 划分前后端职责边界
    
  3. 分步实现

    - 先搭建后端 API 和数据库
    - 再实现前端界面和交互
    - 前后端联调集成
    - 端到端测试验证
    

开发标准:

API 设计
// 类型安全的 API 契约
// types/api.ts
export interface CreateUserRequest {
  email: string;
  password: string;
  fullName: string;
}

export interface UserResponse {
  id: string;
  email: string;
  fullName: string;
  createdAt: string;
}

// API 路由实现
// app/api/users/route.ts
export async function POST(request: Request) {
  try {
    const body: CreateUserRequest = await request.json();

    // 输入验证
    const errors = validateCreateUser(body);
    if (errors.length > 0) {
      return Response.json({ errors }, { status: 400 });
    }

    // 业务逻辑
    const user = await userService.create(body);

    return Response.json({ data: user }, { status: 201 });
  } catch (error) {
    logger.error('创建用户失败:', error);
    return Response.json(
      { error: '内部服务器错误' },
      { status: 500 }
    );
  }
}
前后端集成
// 前端 API 调用层
// lib/api.ts
export async function createUser(data: CreateUserRequest): Promise<UserResponse> {
  const response = await fetch('/api/users', {
    method: 'POST',
    headers: { 'Content-Type': 'application/json' },
    body: JSON.stringify(data),
  });

  if (!response.ok) {
    const error = await response.json();
    throw new ApiError(error.message, response.status);
  }

  return response.json().then(res => res.data);
}

// 前端组件中使用
// components/RegisterForm.tsx
const handleSubmit = async (e: FormEvent) => {
  e.preventDefault();
  setLoading(true);

  try {
    const user = await createUser(formData);
    router.push('/dashboard');
  } catch (error) {
    setErrorMessage(error instanceof ApiError ? error.message : '注册失败');
  } finally {
    setLoading(false);
  }
};

Read the full file on GitHub · 316 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 · 316 lines · 30 tokens per session scan A 07e7d399d616

Subscribe to this mod's changes

fullstack_dev is an agent published in the GitHub repository peterfei/ai-agent-team (448 stars, last pushed 4mo ago), licensed MIT. It adds 30 tokens to every session and 2,422 once invoked, about $0.0001 per session on Opus 5.5. 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.

Related

Other agents, from other repositories