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 agentmods add skills/nongjun/awesome-harness-engineering/macosnpx skills add nongjun/awesome-harness-engineering --skill macosgit clone --depth 1 https://github.com/nongjun/awesome-harness-engineeringWrote 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/nongjun/awesome-harness-engineering/macos)<a href="https://agentmods.dev/skills/nongjun/awesome-harness-engineering/macos"><img src="https://agentmods.dev/badge/skills/nongjun/awesome-harness-engineering/macos.svg" alt="Measured on agentmods" 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 | $0.00044 | $0.00470 |
| Opus 5 | $0.00022 | $0.00235 |
| Sonnet 5 | $0.00009 | $0.00094 |
| Haiku 4.5 | $0.00004 | $0.00047 |
Grade A, and why
macOS应用 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.
This is a copy
100% identical to macOS应用 — 0 lines differ, which has more behind it and is treated as the original. This page carries a canonical link to it rather than competing with it.
What it actually says
macOS 应用开发模式
适用场景
使用 Swift/SwiftUI 开发 macOS 桌面应用时。
核心原则
- 沙箱优先——App Store 要求沙箱化，提前规划权限需求
- 原生体验——遵循 macOS 人机界面指南，菜单栏、快捷键、拖拽都要支持
- 后台能力——macOS 应用可以后台运行，注意内存和 CPU 占用
- 多窗口——macOS 用户期望多窗口支持，不要做成单窗口
SwiftUI 模式
- 用 @State、@Binding、@ObservedObject 管理状态
- 复杂状态用 @EnvironmentObject 跨视图共享
- 列表用 LazyVStack/LazyHStack 做懒加载
- 导航用 NavigationSplitView（macOS 三栏布局）
数据持久化
- 简单配置用 UserDefaults 或 @AppStorage
- 结构化数据用 SwiftData 或 Core Data
- 文件操作需申请沙箱权限，用 NSOpenPanel/NSSavePanel
- 敏感数据（密码、Token）存 Keychain
网络通信
- 用 URLSession 或 Alamofire 做 HTTP 请求
- 异步操作用 async/await（Swift Concurrency）
- 处理网络不可用的情况，给用户明确提示
分发方式
- App Store：需要沙箱、签名、审核
- Developer ID：签名 + 公证（Notarization），可直接分发
- 企业内部：可以用 .app 或 .dmg 直接分发（需关闭 Gatekeeper 或签名）
常见坑点
- macOS 权限系统比 iOS 复杂（辅助功能、屏幕录制、完全磁盘访问等）
- 菜单栏应用（MenuBarExtra）的生命周期与窗口应用不同
- 进程间通信用 XPC 或 DistributedNotificationCenter
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.
- 5d ago First seen · 50 lines · 44 tokens per session scan A de57ae4f6470
macOS应用 is a skill published in the GitHub repository nongjun/awesome-harness-engineering (2 stars, last pushed 5mo ago), licensed MIT. It adds 44 tokens to every session and 470 once invoked, about $0.0002 per session on Opus 5. A static security scan graded it A with 0 findings. It is 100% identical to macOS应用, differing in 0 lines, and is treated as a copy.
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