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 xiaobei930/cc-best --skill backendgit clone --depth 1 https://github.com/xiaobei930/cc-bestWrote 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/xiaobei930/cc-best/backend)<a href="https://agentmods.dev/skills/xiaobei930/cc-best/backend"><img src="https://agentmods.dev/badge/skills/xiaobei930/cc-best/backend/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/xiaobei930/cc-best/backend"><img src="https://agentmods.dev/badge/skills/xiaobei930/cc-best/backend.svg" alt="Reviewed on agentmods" width="80" height="20"></a>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 | $0.00027 | $0.01776 |
| Opus 5.5 | $0.00011 | $0.00710 |
| Sonnet 5.5 | $0.00005 | $0.00355 |
| Haiku 4.5 | $0.00003 | $0.00178 |
Grade A, and why
backend 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 — 234 lines — stays where its author put it; the contents beside it link to each section on GitHub.
后端开发模式
本技能提供后端服务开发的最佳实践和模式，支持多语言按需加载。
触发条件
- 构建后端服务
- 设计服务架构
- 实现业务逻辑层
- 配置中间件
- 处理错误和日志
- 性能优化（数据库、缓存、并发）
语言专属模式
根据项目技术栈，加载对应的语言专属文件：
| 技术栈 | 加载文件 | 框架 |
|---|---|---|
| Python | python.md |
FastAPI, Django, Flask |
| TypeScript/Node.js | typescript.md |
Express, NestJS, Fastify |
| Java | java.md |
Spring Boot, Quarkus |
| Go | go.md |
Gin, Echo, Fiber |
| C# | csharp.md |
ASP.NET Core |
| Rust | rust.md |
Axum, Actix-web, Rocket |
加载方式: 检测项目中的 pyproject.toml/package.json/pom.xml/go.mod/Cargo.toml 等文件确定技术栈。
通用架构模式
分层架构
┌─────────────────────────────────────┐
│ Controller 层 │ 处理 HTTP 请求/响应
├─────────────────────────────────────┤
│ Service 层 │ 业务逻辑
├─────────────────────────────────────┤
│ Repository 层 │ 数据访问
├─────────────────────────────────────┤
│ Model 层 │ 数据模型
└─────────────────────────────────────┘
通用目录结构
src/
├── controllers/ # 控制器（或 routes/handlers）
├── services/ # 业务逻辑
├── repositories/ # 数据访问（或 dal/）
├── models/ # 数据模型（或 entities/）
├── middlewares/ # 中间件
├── utils/ # 工具函数
├── config/ # 配置
└── types/ # 类型定义（如适用）
通用最佳实践
1. 错误处理原则
┌─────────────────────────────────────────────────────┐
│ 错误处理金字塔 │
├─────────────────────────────────────────────────────┤
│ 业务错误 (400-499) │
│ ├─ ValidationError (400) 输入验证失败 │
│ ├─ UnauthorizedError (401) 未认证 │
│ ├─ ForbiddenError (403) 无权限 │
│ └─ NotFoundError (404) 资源不存在 │
├─────────────────────────────────────────────────────┤
│ 系统错误 (500-599) │
│ ├─ InternalError (500) 服务器内部错误 │
│ ├─ ServiceUnavailable (503) 服务不可用 │
│ └─ GatewayTimeout (504) 网关超时 │
└─────────────────────────────────────────────────────┘
What ships with it
10 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 · 234 lines · 27 tokens per session scan A 88f3b5da53f6
backend is a skill published in the GitHub repository xiaobei930/cc-best (48 stars, last pushed 4mo ago), licensed MIT. It adds 27 tokens to every session and 1,776 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.
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eval-hooks
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eval-skills
Audit a project or library of skills for metadata, trigger boundaries, workflow completion criteria, local resource closure, instruction economy, tool scope, effort, and routing evidence. Use before shipping skills, after importing a skill collection, or when a skill triggers too often or not at all.
source-command-audit-whitepapers
Audit version freshness, FR/EN parity, and metadata quality of all whitepapers and recap cards.
audit-agents-skills
Audit Claude Code agents, skills, and commands for quality and production readiness. Use when evaluating skill quality, checking production readiness scores, or comparing agents against best-practice templates.
design-patterns
Detect, suggest, and evaluate GoF design patterns in TypeScript/JavaScript codebases. Use when refactoring code, applying singleton/factory/observer/strategy patterns, reviewing pattern quality, or finding stack-native alternatives for React, Angular, NestJS, and Vue.
eval-agents
Audit custom subagent definitions for Claude Code (.claude/agents/.md) and Codex (.codex/agents/.toml): loadability against the native schema, description overlap, model tier, tool scope, and headless-safe instructions. Use when onboarding to a project with agents, after adding or importing agents, or when the parent…