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Agent Skill · 前端设计

test-macos-snapshots(测试 macOS snapshots)

用于辅助测试设计、自动化测试、用例整理和回归验证。它适合让 Agent 编写单元测试、端到端测试、测试计划或根据失败日志定位问题。使用时需要确认项目测试框架、运行命令和夹具数据,避免为了通过测试而改坏真实逻辑;涉及浏览器或外部服务时,应区分本地模拟、测试环境和生产环境。

test-macos-snapshots 是前端设计类 Agent Skill,可用宿主为 Codex、Claude、Cursor、Gemini CLI,通过GitHub 仓库获取,权限为操作浏览器;许可证信息还不明确,第三方扫描已通过,按安装量在前端设计类的 10,216 个 Skill 里排第 8,262。

总安装 303周安装 13GitHub Stars 5下载 106核验 2026-05-01

安装说明

本站只整理中文说明,不托管安装包,也不代用户安装。
GitHub
许可证
unknown

安装方式

通过对话安装

复制提示词发给支持本地命令或 Skills 的 AI 助手,先确认命令和权限,再让它执行。

请帮我安装这个 Agent Skill:test-macos-snapshots(测试 macOS snapshots)
来源仓库:https://github.com/yigitkonur/skills-by-yigitkonur
仓库路径:skills/test-macos-snapshots
安装命令:
npx skills add https://github.com/yigitkonur/skills-by-yigitkonur --skill test-macos-snapshots
安装前请先检查当前环境是否支持对应 CLI,并向我确认将要执行的命令、安装目录、联网范围和文件读写权限;确认后再执行。

命令行安装

复制命令到本机终端执行。该命令会通过 npx skills 从第三方来源获取 Skill;本站只展示命令,不托管安装包,也不自动执行。

skills.shnpx skills
npx skills add https://github.com/yigitkonur/skills-by-yigitkonur --skill test-macos-snapshots

这个 Skill 是做什么的

前端设计类 Skill 关注页面结构、视觉规范和组件写法,输出通常是可运行的界面代码。

用于辅助测试设计、自动化测试、用例整理和回归验证。适合编写单元测试、端到端测试或根据日志定位问题。需确认项目测试框架、运行命令和夹具数据后使用。test-macos-snapshots 属于前端设计类 Skill,可作为该场景下的辅助能力补充。涉及浏览器或外部服务时应区分模拟环境与生产环境。

安装方式:通过 npx 从指定 GitHub 仓库添加。

来源仓库内路径:skills/test-macos-snapshots

上手步骤

4 步
  1. 1

    确认自己的宿主工具

    公开资料标注支持 Codex、Claude、Cursor、Gemini CLI;先确认自己用的是其中之一,再按对应工具的 Skills 目录放置。

  2. 2

    拿到安装命令

    可以直接复制的命令是 npx skills add https://github.com/yigitkonur/skills-by-yigitkonur --skill test-m…;命令里的占位符换成自己的路径或密钥再执行。

  3. 3

    安装后重启宿主

    命令执行完要完全退出宿主工具再打开,让新装的 Skill 被重新扫描到,否则列表里可能看不到。

  4. 4

    按最小权限试用

    它需要操作浏览器,先在测试目录或测试账号里跑,确认没问题再放到正式项目。

常见问题

6 条

test-macos-snapshots 怎么安装?

在终端执行 npx skills add https://github.com/yigitkonur/skills-by-yigitkonur --skill test-macos-snaps…。装完完全退出宿主工具再打开,让它重新扫描本地 Skill。

test-macos-snapshots 支持哪些 AI 工具?

公开资料标注支持 Codex、Claude、Cursor、Gemini CLI。其他工具只要能读取本地 Skill 目录,一般也能手动放进去,但要自己确认触发方式是否一致。

test-macos-snapshots 需要什么权限?

权限级别是操作浏览器。该 Skill 可能涉及浏览器控制能力,使用时可能读取或操作网页内容,需要在受控环境中确认权限边界。

test-macos-snapshots 是免费的吗?

公开资料没有标注明确许可证,收费和商用限制都无法确认。正式使用前请到来源仓库核对授权说明。

test-macos-snapshots 用的人多吗?

公开数据是累计安装 303 次,近一周安装 13 次,下载 106 次,GitHub 5 星。这些数字来自第三方目录统计,只能当作热度参考,不代表质量或安全性。

test-macos-snapshots 安全吗?

第三方扫描结果为通过,但这只覆盖已知的静态检查项,不能替代自己读一遍源码和安装命令。

值得选的地方和要先想清楚的地方

值得选的地方

  • 同时适配 4 种工具,换客户端不用重新找替代品。
  • 第三方扫描已通过,常见的高风险行为没有命中。

先想清楚的地方

  • 许可证没有明确标注,能不能商用、能不能再分发都不确定。
  • 第三方目录整理,版本更新和行为细节以来源仓库为准。

适不适合你

更适合

  • 已经在用 Codex,想直接扩展它能力的人。
  • 需要处理前端设计类任务、又不想每次都手写提示词的人。

不太适合

  • 需要明确授权才能用到公司项目里的场景。
  • 需要厂商级技术支持和 SLA 的生产系统。

前端设计类 Skill 对比

6 个同类
Skill总安装GitHub 星权限许可证扫描
frontend-design

前端设计 · Codex、Claude

8,823,360126,072只读MIT通过
vercel-composition-patterns

Vercel 组合模式 · Codex、Claude

3,858,81625,893需要联网MIT通过
vercel-react-native-skills

Vercel React native skills 前端 · Codex、Claude

2,468,66425,878只读MIT通过
adapt

adapt 搜索 · Codex、Claude

2,027,04023,125操作浏览器未明确通过
bolder

bolder 分析 · Codex、Claude

2,004,28823,130只读未明确通过
test-macos-snapshots

测试 macOS snapshots · 本页

3035操作浏览器未明确通过

按安装量取同分类前几名;数字来自第三方目录统计,只作热度参考,不代表质量结论。

SKILL.md 原文

Test macOS Snapshots

Validate one macOS UI state at a time with an explicit expectation-first loop. Declare what the screenshot must prove before capture, then compare the image against that contract and fix the right layer.

Trigger boundary

Use this skill when you need to:

  • validate a macOS window, sheet, or screen with screenshots
  • choose or improve a deterministic snapshot automation path
  • compare expected UI state against a captured image
  • explain visual drift and decide whether the fix belongs in the app, the automation, or the expectation

Do not use this skill when:

  • the main job is designing or building the UI rather than validating it
  • the main job is driving a live browser; use run-playwright or run-agent-browser for browser control
  • the task is diagnosing runtime internals with a debugger or devtools instead of checking known UI expectations

Non-negotiable rules

  1. State the expectation before capture. Do not inspect a screenshot first and retrofit the expected state afterward.
  2. Validate one target state per run. Do not batch multiple unrelated windows or flows into one screenshot verdict.
  3. Prefer the most deterministic capture path already available. Use project-native rendering or UI tests before Accessibility or OS-level screenshots.
  4. Record layout facts that affect interpretation. Note collapsed sidebars, compact toolbars, split-view sizes, or alternate navigation chrome before you classify drift.
  5. Separate deterministic structure from data-dependent variation. Item names, timestamps, counts, and remote content may vary even when the screenshot is correct.
  6. Explain the result in three buckets. Always report Matches, Drift, and Better than expected.
  7. Fix the narrowest correct layer and rerun. Automation bugs, app bugs, and over-specific expectations are different problems.

Minimal read sets

One macOS window or sheet

Read these first:

  • references/expectation-loop.md
  • references/drift-analysis.md

Need to choose a capture path

Read these first:

  • references/capture-modes.md
  • references/expectation-loop.md

Blank, stale, clipped, or focus-dependent screenshot

Read these first:

  • references/troubleshooting.md
  • references/drift-analysis.md

Standard workflow

1. Choose the capture path

  • Inspect the project for existing screenshot or UI-test entrypoints before inventing new automation.
  • Prefer capture modes in this order: in-app or in-process rendering, built-in UI-test harness, browser driver for hybrid apps, then Accessibility or window-capture fallback.
  • Tell the user which path you chose and why it is safer than the alternatives you rejected.

Use references/capture-modes.md when the project exposes multiple possible routes.

2. Declare the expected state

Write 3-7 bullets covering:

  • target window, sheet, or screen
  • active section or navigation state through the affordance that is actually visible in the current layout
  • main visible content block or headline
  • controls, labels, or options that must be visible
  • one or two failure signatures that must not appear

Also separate:

  • deterministic structure
  • layout facts that affect interpretation
  • data-dependent variation

Use references/expectation-loop.md for the exact contract shape.

3. Capture exactly one target state

  • Run one command or one test entrypoint for the chosen state.
  • Save the absolute path to the resulting image.
  • Prefer condition-based waits or app-ready signals over blind sleeps.
  • If the capture emits multiple images, explicitly choose the file that matches the target state and say why.

4. Compare expectation against observation

Report the screenshot in three buckets:

  • Matches — visible evidence that proves the expected state is present
  • Drift — what differs from the contract and why it likely happened
  • Better than expected — extra valid evidence the image provides beyond the original contract

Use references/drift-analysis.md to classify the mismatch before you change anything.

5. Fix the right layer and rerun

  • Fix the automation when the wrong state was selected, the capture raced the UI, or the image is stale or clipped.
  • Fix the app when the screenshot exposes a real layout, state, or rendering regression.
  • Fix the expectation only when the screenshot is structurally correct and your contract was too specific.

Rerun the same target after the fix. Stop after a clean pass or after three iterations with a clear residual-risk note.

Do this, not that

Do thisNot that
Write the expected state before captureInfer expectations from the screenshot after the fact
Use project-native or test-harness capture when it existsStart with Accessibility scripting by default
Prove navigation state using the visible affordance in the current layoutRequire a sidebar highlight when the layout only shows a section title
Record actual selected item names when the content is data-dependentHardcode unstable names into the expectation
Use Matches, Drift, and Better than expectedReturn only "looks good" or "looks wrong"
Rerun the same target after the fixDeclare success on a different screenshot

Reference routing

NeedReference
Choosing between in-app, UI-test, browser, and fallback capture pathsreferences/capture-modes.md
Writing the expectation contract and running the compare loopreferences/expectation-loop.md
Classifying mismatches and picking the fix layerreferences/drift-analysis.md
Recovering from blank, stale, clipped, or focus-dependent capturesreferences/troubleshooting.md

平台分布

Codex

35.9%
按下载量换算38

Claude

31%
按下载量换算33

Cursor

18.38%
按下载量换算19

Gemini CLI

11.11%
按下载量换算12

安全审计

Gen Agent Trust Hub

通过

Socket

通过

Snyk

通过

权限和风险

操作浏览器

该 Skill 可能涉及浏览器控制能力,使用时可能读取或操作网页内容,需要在受控环境中确认权限边界。

安装前确认

本站仅展示第三方公开信息,不托管安装包,不提供自动安装或运行环境。安装前应自行审查源码、依赖和命令行为。目前只有一个公开来源,建议同时核对源仓库。

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