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Agent Skill · 研究检索

webperf-core-web-vitals(webperf 核心 Web Vitals)

webperf-core-web-vitals 用于查找、检索和筛选相关信息,适合在 OpenClaw 中需要根据关键词、任务场景或来源线索快速定位候选结果时使用。可结合来源仓库、安装命令和原始 README 继续核验具体用法。安装前建议确认权限范围、维护状态,以及是否会触发联网、命令执行或文件读写。

webperf-core-web-vitals 是研究检索类 Agent Skill,可用宿主为 OpenClaw,通过ClawHub获取,权限为调用外部服务;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 14,878。

总安装 8,232周安装 333GitHub Stars 公开资料未说明下载 2,584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:webperf-core-web-vitals(webperf 核心 Web Vitals)
来源仓库:https://github.com/nucliweb/webperf-core-web-vitals
安装命令:
openclaw skills install webperf-core-web-vitals
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 webperf-core-web-vitals

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。

webperf-core-web-vitals 用于智能核心网络生命分析。通过引导式调试测量 LCP、CLS、INP 等关键性能指标。自动确定优化策略并提供决策树支持,提升性能诊断效率。安装命令为 openclaw skills install webperf-core-web-vitals,需确认网络权限。

建议结合来源仓库 README 核验具体用法,注意是否会触发命令执行或文件读写。

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 webperf-core-web-vitals;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

    它需要调用外部服务,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

webperf-core-web-vitals 怎么安装?

在终端执行 openclaw skills install webperf-core-web-vitals。装完完全退出宿主工具再打开,让它重新扫描本地 Skill。

webperf-core-web-vitals 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。

webperf-core-web-vitals 需要什么权限?

权限级别是调用外部服务。该 Skill 可能调用第三方服务、云服务或外部模型 API,使用前需要确认账号、额度、数据发送范围和服务条款。

webperf-core-web-vitals 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。

webperf-core-web-vitals 用的人多吗?

公开数据是累计安装 8,232 次,近一周安装 333 次,下载 2,584 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。

webperf-core-web-vitals 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
webperf-core-web-vitals

webperf 核心 Web Vitals · 本页

8,232—调用外部服务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
webperf-core-web-vitals
description
Intelligent Core Web Vitals analysis with automated workflows and decision trees. Measures LCP, CLS, INP with guided debugging that automatically determines follow-up analysis based on results. Includes workflows for LCP deep dive (5 phases), CLS investigation (loading vs interaction), INP debugging (latency breakdown + attribution), and cross-skill integration with loading, interaction, and media skills. Use when the user asks about Core Web Vitals, LCP optimization, layout shifts, or interaction responsiveness. Compatible with Chrome DevTools MCP.
license
MIT
metadata
author
Joan Leon | @nucliweb
version
1.0.0
mcp-server
chrome-devtools
category
web-performance
repository
https://github.com/nucliweb/webperf-snippets

WebPerf: Core Web Vitals

JavaScript snippets for measuring web performance in Chrome DevTools. Execute with mcp__chrome-devtools__evaluate_script, capture output with mcp__chrome-devtools__get_console_message.

Scripts

  • scripts/CLS.js — Cumulative Layout Shift (CLS)
  • scripts/INP.js — Interaction to Next Paint (INP)
  • scripts/LCP-Image-Entropy.js — LCP Image Entropy
  • scripts/LCP-Sub-Parts.js — LCP Sub-Parts
  • scripts/LCP-Trail.js — LCP Trail
  • scripts/LCP-Video-Candidate.js — LCP Video Candidate
  • scripts/LCP.js — Largest Contentful Paint (LCP)

Descriptions and thresholds: references/snippets.md

Common Workflows

Complete Core Web Vitals Audit

When the user asks for a comprehensive Core Web Vitals analysis or "audit CWV":

  1. LCP.js - Measure Largest Contentful Paint
  2. CLS.js - Measure Cumulative Layout Shift
  3. INP.js - Measure Interaction to Next Paint
  4. LCP-Sub-Parts.js - Break down LCP timing phases
  5. LCP-Trail.js - Track LCP candidate evolution

LCP Deep Dive

When LCP is slow or the user asks "debug LCP" or "why is LCP slow":

  1. LCP.js - Establish baseline LCP value
  2. LCP-Sub-Parts.js - Break down into TTFB, resource load, render delay
  3. LCP-Trail.js - Identify all LCP candidates and changes
  4. LCP-Image-Entropy.js - Check if LCP image has visual complexity issues
  5. LCP-Video-Candidate.js - Detect if LCP is a video (poster or video element)

CLS Investigation

When layout shifts are detected or the user asks "debug CLS" or "layout shift issues":

  1. CLS.js - Measure overall CLS score
  2. Layout-Shift-Loading-and-Interaction.js (from Interaction skill) - Separate loading vs interaction shifts
  3. Cross-reference with webperf-loading skill:

- Find-Above-The-Fold-Lazy-Loaded-Images.js (lazy images causing shifts) - Fonts-Preloaded-Loaded-and-used-above-the-fold.js (font swap causing shifts)

INP Debugging

When interactions feel slow or the user asks "debug INP" or "slow interactions":

  1. INP.js - Measure overall INP value
  2. Interactions.js (from Interaction skill) - List all interactions with timing
  3. Input-Latency-Breakdown.js (from Interaction skill) - Break down input delay, processing, presentation
  4. Long-Animation-Frames.js (from Interaction skill) - Identify blocking animation frames
  5. Long-Animation-Frames-Script-Attribution.js (from Interaction skill) - Find scripts causing delays

Video as LCP Investigation

When LCP is a video element (detected by LCP-Video-Candidate.js):

  1. LCP-Video-Candidate.js - Identify video as LCP candidate
  2. Video-Element-Audit.js (from Media skill) - Audit video loading strategy
  3. LCP-Sub-Parts.js - Analyze video loading phases
  4. Cross-reference with webperf-loading skill:

- Resource-Hints-Validation.js (check for video preload) - Priority-Hints-Audit.js (check for fetchpriority on video)

Image as LCP Investigation

When LCP is an image (most common case):

  1. LCP.js - Measure LCP timing
  2. LCP-Sub-Parts.js - Break down timing phases
  3. LCP-Image-Entropy.js - Analyze image complexity
  4. Cross-reference with webperf-media skill:

- Image-Element-Audit.js (check format, dimensions, lazy loading)

  1. Cross-reference with webperf-loading skill:

- Find-Above-The-Fold-Lazy-Loaded-Images.js (check if incorrectly lazy) - Priority-Hints-Audit.js (check for fetchpriority="high") - Resource-Hints-Validation.js (check for preload)

Decision Tree

Use this decision tree to automatically run follow-up snippets based on results:

After LCP.js

  • If LCP > 2.5s → Run LCP-Sub-Parts.js to diagnose which phase is slow
  • If LCP > 4.0s (poor) → Run full LCP deep dive workflow (5 snippets)
  • If LCP candidate is an image → Run LCP-Image-Entropy.js and webperf-media:Image-Element-Audit.js
  • If LCP candidate is a video → Run LCP-Video-Candidate.js and webperf-media:Video-Element-Audit.js
  • Always run → LCP-Trail.js to understand candidate evolution

After LCP-Sub-Parts.js

  • If TTFB phase > 600ms → Switch to webperf-loading skill and run TTFB-Sub-Parts.js
  • If Resource Load Time > 1500ms → Run:

1. webperf-loading:Resource-Hints-Validation.js (check for preload/preconnect) 2. webperf-loading:Priority-Hints-Audit.js (check fetchpriority) 3. webperf-loading:Find-render-blocking-resources.js (competing resources)

  • If Render Delay > 200ms → Run:

1. webperf-loading:Find-render-blocking-resources.js (blocking CSS/JS) 2. webperf-loading:Script-Loading.js (parser-blocking scripts) 3. webperf-interaction:Long-Animation-Frames.js (main thread blocking)

After LCP-Trail.js

  • If many LCP candidate changes (>3) → This causes visual instability, investigate:

1. webperf-loading:Find-Above-The-Fold-Lazy-Loaded-Images.js (late-loading images) 2. webperf-loading:Fonts-Preloaded-Loaded-and-used-above-the-fold.js (font swaps) 3. CLS.js (layout shifts contributing to LCP changes)

  • If final LCP candidate appears late → Run webperf-loading:Resource-Hints-Validation.js
  • If early candidate was replaced → Understand why initial content was pushed down (likely CLS issue)

After LCP-Image-Entropy.js

  • If entropy is very high → Image is visually complex, recommend:

- Modern formats (WebP, AVIF) - Appropriate compression - Potentially a placeholder strategy

  • If entropy is low → Image may be over-optimized or placeholder-like
  • If large file size detected → Run webperf-media:Image-Element-Audit.js for format/sizing analysis

After LCP-Video-Candidate.js

  • If video is LCP → Run:

1. webperf-media:Video-Element-Audit.js (check poster, preload, formats) 2. webperf-loading:Priority-Hints-Audit.js (check fetchpriority on poster) 3. LCP-Sub-Parts.js (analyze video loading phases)

  • If poster image is LCP → Treat as image LCP (run image workflows)

After CLS.js

  • If CLS > 0.1 → Run webperf-interaction:Layout-Shift-Loading-and-Interaction.js to separate causes
  • If CLS > 0.25 (poor) → Run comprehensive shift investigation:

1. webperf-loading:Find-Above-The-Fold-Lazy-Loaded-Images.js (images without dimensions) 2. webperf-loading:Fonts-Preloaded-Loaded-and-used-above-the-fold.js (font loading strategy) 3. webperf-loading:Critical-CSS-Detection.js (late-loading styles) 4. webperf-media:Image-Element-Audit.js (missing width/height)

  • If CLS = 0 → Confirm with multiple page loads (might be timing-dependent)

After INP.js

  • If INP > 200ms → Run webperf-interaction:Interactions.js to identify slow interactions
  • If INP > 500ms (poor) → Run full INP debugging workflow:

1. webperf-interaction:Interactions.js (list all interactions) 2. webperf-interaction:Input-Latency-Breakdown.js (phase breakdown) 3. webperf-interaction:Long-Animation-Frames.js (blocking frames) 4. webperf-interaction:Long-Animation-Frames-Script-Attribution.js (culprit scripts)

  • If specific interaction type is slow (e.g., keyboard) → Focus analysis on that interaction type

Cross-Skill Triggers

These triggers recommend using snippets from other skills:

From LCP to Loading Skill
  • If LCP > 2.5s and TTFB phase is dominant → Use webperf-loading skill:

- TTFB.js, TTFB-Sub-Parts.js, Service-Worker-Analysis.js

  • If LCP image is lazy-loaded → Use webperf-loading skill:

- Find-Above-The-Fold-Lazy-Loaded-Images.js

  • If LCP has no fetchpriority → Use webperf-loading skill:

- Priority-Hints-Audit.js

From CLS to Loading Skill
  • If CLS caused by fonts → Use webperf-loading skill:

- Fonts-Preloaded-Loaded-and-used-above-the-fold.js - Resource-Hints-Validation.js (for font preload)

  • If CLS caused by images → Use webperf-media skill:

- Image-Element-Audit.js (check for width/height attributes)

From INP to Interaction Skill
  • If INP > 200ms → Use webperf-interaction skill for full debugging:

- Interactions.js, Input-Latency-Breakdown.js - Long-Animation-Frames.js, Long-Animation-Frames-Script-Attribution.js - LongTask.js (if pre-interaction blocking suspected)

From LCP/INP to Interaction Skill
  • If render delay or interaction delay is high → Use webperf-interaction skill:

- Long-Animation-Frames.js (main thread blocking) - LongTask.js (long tasks delaying rendering)

Multi-Metric Correlation

When multiple CWV metrics are poor, prioritize investigation:

  • If LCP > 2.5s AND CLS > 0.1 → Likely shared root cause:

1. Check for late-loading content pushing LCP element 2. Run LCP-Trail.js to see LCP candidate changes 3. Run Layout-Shift-Loading-and-Interaction.js to correlate timing

  • If LCP > 2.5s AND INP > 200ms → Main thread congestion:

1. Run Long-Animation-Frames.js 2. Run webperf-loading:Script-Loading.js 3. Run webperf-loading:JS-Execution-Time-Breakdown.js

  • If CLS > 0.1 AND INP > 200ms → Layout thrashing or interaction-triggered shifts:

1. Run Layout-Shift-Loading-and-Interaction.js 2. Run Interactions.js 3. Check if shifts occur during/after interactions

References

  • references/snippets.md — Descriptions and thresholds for each script
  • references/schema.md — Return value schema for interpreting script output
Execute via mcp__chrome-devtools__evaluate_script → read with mcp__chrome-devtools__get_console_message.

平台分布

OpenClaw

95.47%
按下载量换算2,467

安全审计

VirusTotal

通过

ClawScan

通过

Static analysis

通过

权限和风险

调用外部服务

该 Skill 可能调用第三方服务、云服务或外部模型 API,使用前需要确认账号、额度、数据发送范围和服务条款。

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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