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 nativegit 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/native)<a href="https://agentmods.dev/skills/xiaobei930/cc-best/native"><img src="https://agentmods.dev/badge/skills/xiaobei930/cc-best/native/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/native"><img src="https://agentmods.dev/badge/skills/xiaobei930/cc-best/native.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 | $0.00029 | $0.00676 |
| Opus 5 | $0.00015 | $0.00338 |
| Sonnet 5 | $0.00006 | $0.00135 |
| Haiku 4.5 | $0.00003 | $0.00068 |
Grade A, and why
native 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 8d 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.
What it actually says
原生应用开发
本技能提供原生应用开发的策略选择指南，整合各平台特定的开发模式。
子文件
- ios.md - iOS/macOS 开发指南
- swift-concurrency.md - Swift 并发编程
- swiftui-performance.md - SwiftUI 性能优化
- tauri.md - Tauri 跨平台桌面应用开发
原生 vs 跨平台
| 维度 | 原生开发 | 跨平台 (Flutter/RN) |
|---|---|---|
| 性能 | 最佳 | 接近原生 |
| 平台特性 | 完全支持 | 部分支持 |
| 开发成本 | 各平台独立 | 一套代码 |
| 维护成本 | 较高 | 较低 |
| 用户体验 | 最佳 | 良好 |
选择原生开发的场景：
- 性能敏感应用（游戏、视频）
- 深度平台集成（系统 API、硬件）
- 追求极致用户体验
- 团队有平台专业知识
平台概览
Apple 平台（iOS/macOS）
覆盖范围：iOS/iPadOS、macOS、watchOS/tvOS
技术栈：Swift 6.x、SwiftUI / UIKit、Xcode
详细指南参阅 ios.md
Android（未来）
覆盖范围：Android 手机/平板、Wear OS、Android TV
技术栈：Kotlin、Jetpack Compose / View、Android Studio
通用最佳实践
架构模式
| 模式 | iOS | Android |
|---|---|---|
| MVVM | SwiftUI + @Observable | Compose + ViewModel |
| Clean Architecture | 分层 + 协议 | 分层 + 接口 |
| 依赖注入 | Swift DI | Hilt/Koin |
性能优化
- 启动优化 - 延迟加载、预加载
- 内存管理 - 避免循环引用、及时释放
- UI 流畅 - 主线程保持响应、异步处理
- 电量优化 - 减少后台任务、优化网络请求
测试策略
| 层级 | 覆盖内容 |
|---|---|
| 单元测试 | 业务逻辑、ViewModel |
| 集成测试 | 网络层、数据层 |
| UI 测试 | 关键用户流程 |
记住：原生开发追求的是最佳的平台体验，选择原生意味着要深入理解平台特性。
What ships with it
4 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.
- 8d ago First seen · 79 lines · 29 tokens per session scan A c0c96af551ad
native is a skill published in the GitHub repository xiaobei930/cc-best (50 stars, last pushed 3mo ago), licensed MIT. It adds 29 tokens to every session and 676 once invoked, about $0.0001 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 2026-09-03.
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