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.
npx skills add aAAaqwq/AGI-Super-Team --skill backend-developmentgit clone --depth 1 https://github.com/aAAaqwq/AGI-Super-TeamWrote 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.
[](https://agentmods.dev/skills/aaaaqwq/agi-super-team/backend-development)<a href="https://agentmods.dev/skills/aaaaqwq/agi-super-team/backend-development"><img src="https://agentmods.dev/badge/skills/aaaaqwq/agi-super-team/backend-development/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.
<a href="https://agentmods.dev/skills/aaaaqwq/agi-super-team/backend-development"><img src="https://agentmods.dev/badge/skills/aaaaqwq/agi-super-team/backend-development.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- NVIDIA SkillSpector warn
SkillSpector: 1 finding, up to high
These are SkillSpector’s own severities. On a checked sample its high-severity flags on skills were ~96% false positives — a documented command, a public API, a “never do X” rule — so we show them as a caution to read, not a verdict. Why →
- high Tool Misuse · line 101 Tool parameters are crafted to achieve unintended or unsafe behavior. Parameter abuse can bypass intended safety checks (e.g. shell=True, --force, dangerous glob patterns).Fix: Validate all tool parameters against an allowlist. Reject dangerous parameter values (shell=True, --force, -rf /) and use safe defaults.
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.
| Model | Per session | Once invoked |
|---|---|---|
| Fable 5.1 | $0.00151 | $0.03319 |
| Opus 5.5 | $0.00060 | $0.01328 |
| Sonnet 5.5 | $0.00030 | $0.00664 |
| Haiku 4.5 | $0.00015 | $0.00332 |
Grade A, and why
backend-development 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.
How it starts
The opening of the file, as written. The whole thing — 439 lines — stays where its author put it; the contents beside it link to each section on GitHub.
后端服务开发技术地图
老王我是后端通才，啥后端技术都能搞！但你得告诉老王你想用啥语言，别tm让老王我瞎猜！
技术栈导航
🐍 Python 后端
适用场景：
- 快速开发、原型验证
- 数据处理、AI/ML集成
- Django/FastAPI生态
框架选型：
| 框架 | 适用场景 | 特点 |
|---|---|---|
| FastAPI | 现代API、异步高性能 | 自动文档、类型验证、Pydantic集成 |
| Django | 企业级全栈应用 | ORM完整、管理后台、生态成熟 |
| Flask | 轻量级微服务 | 灵活自由、最小化依赖 |
| SQLModel | 简化数据库操作 | Pydantic + SQLAlchemy 完美结合 |
详细文档: python/SKILL.md
🟢 Node.js 后端
适用场景：
- 前后端统一技术栈
- 实时通信（WebSocket）
- 高并发I/O密集型应用
框架选型：
| 框架 | 适用场景 | 特点 |
|---|---|---|
| NestJS | 企业级TypeScript应用 | 模块化、依赖注入、装饰器 |
| Express | 快速搭建API | 简单灵活、中间件丰富 |
| Koa | 轻量级中间件框架 | async/await、洋葱模型 |
| Fastify | 高性能JSON服务 | 插件生态、速度极快 |
详细文档: nodejs/SKILL.md
🐹 Go 后端
适用场景：
- 高性能微服务
- 云原生应用（Kubernetes）
- 并发密集型服务
框架选型：
| 框架 | 适用场景 | 特点 |
|---|---|---|
| Gin | 高性能API | 速度快、路由强大 |
| Echo | RESTful服务 | 中间件丰富、可扩展 |
| Fiber | 极致性能 | 基于Fasthttp、类Express |
详细文档: go/SKILL.md
☕ Java 后端
适用场景：
- 大型企业级应用
- 金融/电商等稳定性要求高的场景
- Spring生态体系
框架选型：
| 框架 | 适用场景 | 特点 |
|---|---|---|
| Spring Boot | 企业级微服务 | 生态完整、约定大于配置 |
| Spring Cloud | 分布式系统 | 服务治理、配置中心 |
| Quarkus | 云原生/GraalVM | 编译时优化、低内存 |
详细文档: java/SKILL.md
通用后端知识
API 设计规范
``` GET /api/users # 获取列表 GET /api/users/:id # 获取单个 POST /api/users # 创建 PUT /api/users/:id # 完整更新 PATCH /api/users/:id # 部分更新 DELETE /api/users/:id # 删除 ```
统一响应格式
```json // 成功 { "success": true, "data": { /* 数据 */ }, "message": "操作成功" }
// 失败 { "success": false, "error": { "code": "USER_NOT_FOUND", "message": "用户不存在" } } ```
数据库选型指南
| 类型 | 选型 | 适用场景 |
|---|---|---|
| 关系型 | PostgreSQL | 复杂查询、事务要求高 |
| 关系型 | MySQL | 简单CRUD、读多写少 |
| 文档 | MongoDB | 灵活schema、日志存储 |
| 缓存 | Redis | 分布式缓存、消息队列 |
| 时序 | InfluxDB | 监控数据、IoT |
What ships with it
2 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.
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.
- 1mo ago First seen · 439 lines · 151 tokens per session scan A 8dc4542b3aa8
backend-development is a skill published in the GitHub repository aAAaqwq/AGI-Super-Team (110 stars, last pushed yesterday), licensed MIT. It adds 151 tokens to every session and 3,319 once invoked, about $0.0006 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 2026-09-05.
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fastapi-patterns
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stripe-projects
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azure-messaging-webpubsubservice-py
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azure-mgmt-botservice-py
Azure Bot Service Management SDK for Python. Use for creating, managing, and configuring Azure Bot Service resources. Triggers: "azure-mgmt-botservice", "AzureBotService", "bot management", "conversational AI", "bot channels".