Token导航 LogoToken导航

Agent Skill · 研究检索

fix-visual-stability-browser-testing(修复视觉稳定性浏览器测试)

用于辅助界面设计、视觉规范、排版、配色、布局和交互体验优化。它适合让 Agent 根据产品场景整理页面结构、生成 UI 方案、检查视觉一致性或改进组件层级。使用时需要结合现有品牌、设计系统和用户任务,不应只堆装饰元素;涉及真实页面改动时,应通过截图或浏览器预览检查文本溢出、对齐和响应式表现。

fix-visual-stability-browser-testing 是研究检索类 Agent Skill,可用宿主为 OpenClaw,通过ClawHub获取,权限为操作浏览器;许可证为 MIT-0,第三方扫描已通过,按安装量在研究检索类的 73,675 个 Skill 里排第 32,827。

总安装 2,448周安装 142GitHub Stars 公开资料未说明下载 784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
MIT-0
版本
0.1.0

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:fix-visual-stability-browser-testing(修复视觉稳定性浏览器测试)
来源仓库:https://github.com/wu-uk/fix-visual-stability-browser-testing
安装命令:
openclaw skills install fix-visual-stability-browser-testing
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 OpenClaw 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。

ClawHubOpenClaw
openclaw skills install fix-visual-stability-browser-testing

这个 Skill 是做什么的

研究检索类 Skill 主要解决「找资料、核对事实、把来源整理清楚」的问题,通常会让助手先检索再总结。

验证网页更改后的视觉稳定性与性能指标变化。fix-visual-stability-browser-testing 属于研究检索类 Skill,可作为该场景下的辅助能力补充。测量 CLS、检测主题闪烁并对比修改前后效果。适合前端迭代过程中的布局一致性和性能监控需求。应结合截图或浏览器预览确认文本溢出和对齐情况。

避免仅依赖自动化指标而忽略实际用户体验差异。

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 OpenClaw;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 openclaw skills install fix-visual-stability-browser-testing;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

fix-visual-stability-browser-testing 怎么安装?

在终端执行 openclaw skills install fix-visual-stability-browser-testing。装完完全退出宿主工具再打开,让它重新扫描本地 Skill。

fix-visual-stability-browser-testing 支持哪些 AI 工具?

公开资料标注支持 OpenClaw。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。

fix-visual-stability-browser-testing 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。

fix-visual-stability-browser-testing 是免费的吗?

来源标注的许可证是 MIT-0。本站不代收任何费用,也不托管安装包;能否商用、要不要署名,以许可证原文为准。

fix-visual-stability-browser-testing 用的人多吗?

公开数据是累计安装 2,448 次,近一周安装 142 次,下载 784 次。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。

fix-visual-stability-browser-testing 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

  • 专注 OpenClaw 一种宿主,触发方式和使用习惯不用来回切换。
  • 许可证明确为 MIT-0,商用和分发边界好判断。
  • 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

  • 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 OpenClaw,想直接扩展它能力的人。
  • 需要处理研究检索类任务、又不想每次都手写提示词的人。
  • 需要许可证清楚、并且有第三方扫描结果的团队项目。

不太适合

  • 需要厂商级技术支持和 SLA 的生产系统。

研究检索类 Skill 对比

6 个同类
Skill总安装GitHub 星权限许可证扫描
find-skills

寻找技能 · Codex、Claude

31,199,81316,486操作浏览器MIT有提醒
self-improving-agent

自我改进 Agent · OpenClaw

16,464,0023,396接触敏感数据MIT-0通过
soultrace

灵魂追踪 · Codex、Claude

7,588,94412需要联网未明确有提醒
self-improving

自我完善 · OpenClaw

6,829,2841,046需要联网MIT-0通过
microsoft-foundry

微软代工厂 · Codex、Claude

6,614,144764调用外部服务未明确有提醒
fix-visual-stability-browser-testing

修复视觉稳定性浏览器测试 · 本页

2,448—操作浏览器MIT-0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

name
browser-testing
description
VERIFY your changes work. Measure CLS, detect theme flicker, test visual stability, check performance. Use BEFORE and AFTER making changes to confirm fixes. Includes ready-to-run scripts: measure-cls.ts, detect-flicker.ts

Performance Measurement with Playwright CDP

Diagnose performance issues by measuring actual load times and network activity.

Playwright is pre-installed. Just use the measurement script.

Quick Start

A measure.ts script is included in this skill's directory. Find it and run:

# Measure a page (outputs JSON with waterfall data)
npx ts-node <path-to-this-skill>/measure.ts http://localhost:3000

# Measure an API endpoint
npx ts-node <path-to-this-skill>/measure.ts http://localhost:3000/api/products

The script is in the same directory as this SKILL.md file.

Understanding the Output

The script outputs JSON with:

{
  "url": "http://localhost:3000",
  "totalMs": 1523,
  "requests": [
    { "url": "http://localhost:3000/", "ms": 45.2 },
    { "url": "http://localhost:3000/api/products", "ms": 512.3 },
    { "url": "http://localhost:3000/api/featured", "ms": 301.1 }
  ],
  "metrics": {
    "JSHeapUsedSize": 4521984,
    "LayoutCount": 12,
    "ScriptDuration": 0.234
  }
}

Reading the Waterfall

The requests array shows network timing. Look for sequential patterns:

BAD (sequential - each waits for previous):
  /api/products    |████████|                        512ms
  /api/featured             |██████|                 301ms  (starts AFTER products)
  /api/categories                  |████|            201ms  (starts AFTER featured)
  Total: 1014ms

GOOD (parallel - all start together):
  /api/products    |████████|                        512ms
  /api/featured    |██████|                          301ms  (starts SAME TIME)
  /api/categories  |████|                            201ms  (starts SAME TIME)
  Total: 512ms (just the slowest one)

Key Metrics

MetricWhat it meansRed flag
totalMsTotal page load time> 1000ms
JSHeapUsedSizeMemory used by JSGrowing over time
LayoutCountLayout recalculations> 50 per page
ScriptDurationTime in JS execution> 0.5s

What to Look For

SymptomLikely CauseFix
Requests in sequenceSequential await statementsUse Promise.all()
Same URL requested twiceFetch before cache checkCheck cache first
Long time before response startsBlocking operation before sendingMake it async/non-blocking
High LayoutCountComponents re-renderingAdd React.memo, useMemo

Measuring API Endpoints Directly

For quick API timing without browser overhead:

async function measureAPI(url: string) {
  const start = Date.now();
  const response = await fetch(url);
  const elapsed = Date.now() - start;
  return { url, time_ms: elapsed, status: response.status };
}

// Example
const endpoints = [
  'http://localhost:3000/api/products',
  'http://localhost:3000/api/products?cache=false',
  'http://localhost:3000/api/checkout',
];

for (const endpoint of endpoints) {
  const result = await measureAPI(endpoint);
  console.log(`${endpoint}: ${result.time_ms}ms`);
}

How the Measurement Script Works

The script uses Chrome DevTools Protocol (CDP) to intercept browser internals:

  1. Network.requestWillBeSent - Event fired when request starts, we record timestamp
  2. Network.responseReceived - Event fired when response arrives, we calculate duration
  3. Performance.getMetrics - Returns Chrome's internal counters (memory, layout, script time)

This gives you the same data as Chrome DevTools Network tab, but programmatically.

Visual Stability Measurement

Measure CLS (Cumulative Layout Shift)

npx ts-node <path-to-this-skill>/measure-cls.ts http://localhost:3000

Output:

{
  "url": "http://localhost:3000",
  "cls": 0.42,
  "rating": "poor",
  "shifts": [
    {
      "value": 0.15,
      "hadRecentInput": false,
      "sources": [
        {"nodeId": 42, "previousRect": {...}, "currentRect": {...}}
      ]
    }
  ]
}

CLS Thresholds

CLS ScoreRatingAction
< 0.1GoodNo action needed
0.1 - 0.25Needs ImprovementReview shift sources
> 0.25PoorFix immediately

Detect Theme Flicker

npx ts-node <path-to-this-skill>/detect-flicker.ts http://localhost:3000

Detects if dark theme flashes white before loading. Sets localStorage theme before navigation and checks background color at first paint.

Accurate CLS Measurement

CLS only measures shifts within the viewport. Content that loads below the fold doesn't contribute until you scroll. For accurate measurement:

Recommended testing sequence:

  1. Load page
  2. Wait 3 seconds (let late-loading content appear)
  3. Scroll to bottom
  4. Wait 2 seconds
  5. Trigger 1-2 UI actions (theme toggle, filter click, etc.)
  6. Wait 2 seconds
  7. Read final CLS
# Basic measurement (may miss shifts from late content)
npx ts-node <path-to-this-skill>/measure-cls.ts http://localhost:3000

# With scrolling (catches more shifts)
npx ts-node <path-to-this-skill>/measure-cls.ts http://localhost:3000 --scroll

Why measurements vary:

  • Production vs development builds have different timing
  • Viewport size affects what's "in view" during shifts
  • setTimeout delays vary slightly between runs
  • Network conditions affect when content loads

The relative difference (before/after fix) matters more than absolute values.

Common CLS Causes

Shift SourceLikely CauseFix
<img> elementsMissing width/heightAdd dimensions or use next/image
Theme wrapperHydration flickerUse inline script before React
Skeleton loadersSize mismatchMatch skeleton to final content size
Dynamic bannersNo reserved spaceAdd min-height to container
Late-loading sidebarsContent appears and pushes main contentReserve space with CSS or show placeholder
Pagination/results barsUI element appears after data loadsShow immediately with loading state
Font loadingCustom fonts cause text reflowUse font-display: swap or preload fonts

平台分布

OpenClaw

93.07%
按下载量换算730

安全审计

VirusTotal

通过

ClawScan

通过

Static analysis

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。

继续浏览同类 Skills