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Agent Skill · 研究检索

web-quality-audit-ecc(网页质量审核 ecc)

用于辅助安全审计、权限检查、凭据风险、认证流程和常见漏洞排查。它适合让 Agent 梳理敏感配置、检查依赖风险、分析鉴权逻辑或生成安全复核清单。使用时不能把工具输出直接当最终结论,涉及密钥、令牌、用户数据或生产系统时,应先确认最小权限、脱敏方式和操作边界。

web-quality-audit-ecc 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,第三方扫描有提醒项,按安装量在研究检索类的 73,675 个 Skill 里排第 13,056。

总安装 9,731周安装 418GitHub Stars 公开资料未说明下载 3,411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
2.0.0

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:web-quality-audit-ecc(网页质量审核 ecc)
来源仓库:https://github.com/huamu668/web-quality-audit-ecc
安装命令:
openclaw skills install web-quality-audit-ecc
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 web-quality-audit-ecc

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。

用于辅助安全审计和常见漏洞排查,帮助梳理敏感配置和鉴权逻辑。支持性能、可访问性、SEO等多维度审核,使用Pin进行自动化测试。通过clawhub安装,结合来源仓库和原始README核验具体用法。使用时不能将工具输出直接当最终结论,涉及生产系统时应先确认最小权限。

web-quality-audit-ecc 属于研究检索类 Skill,可作为该场景下的辅助能力补充。

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 web-quality-audit-ecc;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

web-quality-audit-ecc 怎么安装?

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

web-quality-audit-ecc 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。

web-quality-audit-ecc 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。

web-quality-audit-ecc 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。

web-quality-audit-ecc 用的人多吗?

公开数据是累计安装 9,731 次,近一周安装 418 次,下载 3,411 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。

web-quality-audit-ecc 安全吗?

第三方扫描有提醒项,说明存在需要人工确认的行为。安装前请打开源码看清它读了什么、联网到哪里。

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。

先想清楚的地方

  • 第三方扫描存在提醒项或未通过项,需要人工逐条确认。
  • 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。

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
web-quality-audit-ecc

网页质量审核 ecc · 本页

9,731—操作浏览器MIT-0有提醒

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
web-quality-audit
description
Comprehensive web quality audit covering performance, accessibility, SEO, best practices, and browser automation testing. Supports automated testing with PinchTab for headless/headed browser control, multi-instance orchestration, and token-efficient content extraction.
license
MIT
metadata
author
web-quality-skills
version
2.0
origin
web-quality-skills + PinchTab

Web Quality Audit

Comprehensive quality review based on Google Lighthouse audits. Covers Performance, Accessibility, SEO, and Best Practices across 150+ checks. Includes browser automation testing with PinchTab for real-world validation.

How it works

  1. Analyze the provided code/project for quality issues
  2. Categorize findings by severity (Critical, High, Medium, Low)
  3. Provide specific, actionable recommendations
  4. Include code examples for fixes
  5. NEW: Validate with browser automation (PinchTab) for real-world testing

Audit categories

Performance (40% of typical issues)

Core Web Vitals — Must pass for good page experience:

  • LCP (Largest Contentful Paint) < 2.5s. The largest visible element must render quickly. Optimize images, fonts, and server response time.
  • INP (Interaction to Next Paint) < 200ms. User interactions must feel instant. Reduce JavaScript execution time and break up long tasks.
  • CLS (Cumulative Layout Shift) < 0.1. Content must not jump around. Set explicit dimensions on images, embeds, and ads.

Resource Optimization:

  • Compress images. Use WebP/AVIF with fallbacks. Serve correctly sized images via srcset.
  • Minimize JavaScript. Remove unused code. Use code splitting. Defer non-critical scripts.
  • Optimize CSS. Extract critical CSS. Remove unused styles. Avoid @import.
  • Efficient fonts. Use font-display: swap. Preload critical fonts. Subset to needed characters.

Loading Strategy:

  • Preconnect to origins. Add <link rel="preconnect"> for third-party domains.
  • Preload critical assets. LCP images, fonts, and above-fold CSS.
  • Lazy load below-fold content. Images, iframes, and heavy components.
  • Cache effectively. Long cache TTLs for static assets. Immutable caching for hashed files.

Accessibility (30% of typical issues)

Perceivable:

  • Text alternatives. Every <img> has meaningful alt text. Decorative images use alt="".
  • Color contrast. Minimum 4.5:1 for normal text, 3:1 for large text (WCAG AA).
  • Don't rely on color alone. Use icons, patterns, or text alongside color indicators.
  • Captions and transcripts. Video has captions. Audio has transcripts.

Operable:

  • Keyboard accessible. All functionality available via keyboard. No keyboard traps.
  • Focus visible. Clear focus indicators on all interactive elements.
  • Skip links. Provide "Skip to main content" for keyboard users.
  • Sufficient time. Users can extend time limits. No auto-advancing content without controls.

Understandable:

  • Page language. Set lang attribute on <html>.
  • Consistent navigation. Same navigation structure across pages.
  • Error identification. Form errors clearly described and associated with fields.
  • Labels and instructions. All form inputs have associated labels.

Robust:

  • Valid HTML. No duplicate IDs. Properly nested elements.
  • ARIA used correctly. Prefer native elements. ARIA roles match behavior.
  • Name, role, value. Interactive elements have accessible names and correct roles.

SEO (15% of typical issues)

Crawlability:

  • Valid robots.txt. Doesn't block important resources.
  • XML sitemap. Lists all important pages. Submitted to Search Console.
  • Canonical URLs. Prevent duplicate content issues.
  • No noindex on important pages. Check meta robots and headers.

On-Page SEO:

  • Unique title tags. 50-60 characters. Primary keyword included.
  • Meta descriptions. 150-160 characters. Compelling and unique.
  • Heading hierarchy. Single <h1>. Logical heading structure.
  • Descriptive link text. Not "click here" or "read more".

Technical SEO:

  • Mobile-friendly. Responsive design. Tap targets ≥ 48px.
  • HTTPS. Secure connection required.
  • Fast loading. Performance directly impacts ranking.
  • Structured data. JSON-LD for rich snippets (Article, Product, FAQ, etc.).

Best practices (15% of typical issues)

Security:

  • HTTPS everywhere. No mixed content. HSTS enabled.
  • No vulnerable libraries. Keep dependencies updated.
  • CSP headers. Content Security Policy to prevent XSS.
  • No exposed source maps. In production builds.

Modern Standards:

  • No deprecated APIs. Replace document.write, synchronous XHR, etc.
  • Valid doctype. Use <!DOCTYPE html>.
  • Charset declared. <meta charset="UTF-8"> as first element in <head>.
  • No browser errors. Clean console. No CORS issues.

UX Patterns:

  • No intrusive interstitials. Especially on mobile.
  • Clear permission requests. Only ask when needed, with context.
  • No misleading buttons. Buttons do what they say.

Severity levels

LevelDescriptionAction
CriticalSecurity vulnerabilities, complete failuresFix immediately
HighCore Web Vitals failures, major a11y barriersFix before launch
MediumPerformance opportunities, SEO improvementsFix within sprint
LowMinor optimizations, code qualityFix when convenient

Audit output format

When performing an audit, structure findings as:

## Audit results

### Critical issues (X found)
- **[Category]** Issue description. File: `path/to/file.js:123`
  - **Impact:** Why this matters
  - **Fix:** Specific code change or recommendation

### High priority (X found)
...

### Summary
- Performance: X issues (Y critical)
- Accessibility: X issues (Y critical)
- SEO: X issues
- Best Practices: X issues

### Recommended priority
1. First fix this because...
2. Then address...
3. Finally optimize...

Quick checklist

Before every deploy

  • [ ] Core Web Vitals passing
  • [ ] No accessibility errors (axe/Lighthouse)
  • [ ] No console errors
  • [ ] HTTPS working
  • [ ] Meta tags present

Weekly review

  • [ ] Check Search Console for issues
  • [ ] Review Core Web Vitals trends
  • [ ] Update dependencies
  • [ ] Test with screen reader

Monthly deep dive

  • [ ] Full Lighthouse audit
  • [ ] Performance profiling
  • [ ] Accessibility audit with real users
  • [ ] SEO keyword review
  • [ ] Browser automation regression tests (PinchTab)

Browser Automation Testing (PinchTab)

PinchTab is a high-performance browser automation bridge for AI agents. Use it to validate your site in real browsers.

What is PinchTab?

  • Standalone HTTP server — Control Chrome via HTTP API
  • Token-efficient — 800 tokens/page with text extraction (vs 10,000+ for screenshots)
  • Multi-instance — Run multiple parallel Chrome processes
  • Headless or Headed — Run with or without visible window
  • Self-contained — 12MB binary, no dependencies
  • MCP integration — Native support via SMCP plugin

Installation

# macOS / Linux
curl -fsSL https://pinchtab.com/install.sh | bash

# npm
npm install -g pinchtab

# Docker
docker run -d -p 9867:9867 pinchtab/pinchtab

Start Server

# Terminal 1: Start PinchTab server
pinchtab
# Server runs on http://localhost:9867

Basic Usage

Navigate and Snapshot
# Navigate to URL
pinchtab nav https://example.com

# Wait 3 seconds for accessibility tree to populate
sleep 3

# Get interactive elements snapshot
pinchtab snap -i -c
Text Extraction (Token-Efficient)
# Extract text (~800 tokens vs 10,000+ for screenshots)
pinchtab nav https://example.com/article
sleep 3
pinchtab text
Click and Interact
# Get snapshot with element refs
pinchtab snap -i
# Output shows: e5: "Submit button", e12: "Email input"

# Click element by ref
pinchtab click e5

# Fill input
pinchtab fill e12 "user@example.com"

# Press key
pinchtab press e12 Enter

HTTP API

# Create instance
TAB=$(curl -s -X POST http://localhost:9867/instances \
  -d '{"profile":"work"}' | jq -r '.id')

# Navigate
curl -X POST "http://localhost:9867/instances/$TAB/tabs/open" \
  -d '{"url":"https://example.com"}'

# Get snapshot (wait 3s first)
sleep 3
curl "http://localhost:9867/instances/$TAB/snapshot?filter=interactive"

# Click element
curl -X POST "http://localhost:9867/instances/$TAB/action" \
  -d '{"kind":"click","ref":"e5"}'

# Extract text
curl "http://localhost:9867/instances/$TAB/text"

Web Quality Audit Patterns

1. Core Web Vitals Validation
#!/bin/bash
# validate-cwv.sh

URL=${1:-"https://example.com"}
INST=$(curl -s -X POST http://localhost:9867/instances \
  -d '{"mode":"headless"}' | jq -r '.id')

# Navigate and measure load time
START=$(date +%s%N)
curl -s -X POST "http://localhost:9867/instances/$INST/tabs/open" \
  -d "{\"url\":\"$URL\"}" > /dev/null
sleep 3
END=$(date +%s%N)

# Calculate LCP estimate (simplified)
LOAD_TIME=$(( (END - START) / 1000000 ))  # ms
echo "Estimated LCP: ${LOAD_TIME}ms"

# Check if < 2.5s
if [ $LOAD_TIME -lt 2500 ]; then
  echo "✅ LCP passing"
else
  echo "❌ LCP failing (> 2.5s)"
fi

# Cleanup
curl -s -X POST "http://localhost:9867/instances/$INST/stop" > /dev/null
2. Accessibility Tree Validation
# Get accessibility tree and check for common issues
pinchtab nav https://example.com
sleep 3

# Check for images without alt text
pinchtab snap | jq '.nodes[] | select(.role == "image" and .name == null) | {ref, role}'

# Check for buttons without labels
pinchtab snap | jq '.nodes[] | select(.role == "button" and .name == null) | {ref, role}'

# Check heading hierarchy
pinchtab snap | jq '.nodes[] | select(.role | startswith("heading")) | {role, name}'
3. Mobile Responsiveness Check
# Create headed instance for visual inspection
pinchtab instances create --profile=mobile-test --mode=headed

# Navigate to site
pinchtab nav https://example.com

# Take screenshot for manual review
pinchtab screenshot --output=mobile-test.png

# Check viewport meta tag
pinchtab evaluate "document.querySelector('meta[name=viewport]')?.content"
4. SEO Validation
# Extract page metadata
pinchtab nav https://example.com
sleep 2

# Get title
curl -s http://localhost:9867/instances/$INST/text | jq -r '.title'

# Get meta description (via evaluate)
pinchtab evaluate '
  document.querySelector("meta[name=description]")?.content
'

# Check for structured data
pinchtab evaluate '
  JSON.parse(document.querySelector("script[type=application/ld+json]")?.innerText || "{}")
'

Agent Optimization Tips

Based on PinchTab documentation:

The 3-Second Wait Rule
# ❌ Too fast - accessibility tree not ready
pinchtab nav https://example.com
pinchtab snap
# Returns: {"count": 1, "nodes": [{"ref": "e0", "role": "RootWebArea"}]}

# ✅ Wait 3 seconds for full tree
pinchtab nav https://example.com
sleep 3
pinchtab snap
# Returns: {"count": 2645, "nodes": [...]}
Token-Efficient Extraction Pattern
# Navigate + wait + filter (14x more token-efficient)
curl -X POST http://localhost:9867/navigate \
  -d '{"url": "https://example.com"}' && \
sleep 3 && \
curl http://localhost:9867/snapshot | \
jq '.nodes[] | select(.name | length > 15) | .name' | \
head -30

Why this works:

  1. Navigate + wait ensures full accessibility tree
  2. jq filter extracts text nodes only
  3. length > 15 filters out buttons, labels
  4. head -30 limits output (saves tokens)

Multi-Instance Testing

#!/bin/bash
# parallel-test.sh

URLS=("https://site1.com" "https://site2.com" "https://site3.com")
INSTANCES=()

# Create 3 headless instances
for i in {0..2}; do
  INST=$(curl -s -X POST http://localhost:9867/instances \
    -d '{"mode":"headless"}' | jq -r '.id')
  INSTANCES[$i]=$INST
done

# Run tests in parallel
for i in {0..2}; do
  (
    curl -s -X POST "http://localhost:9867/instances/${INSTANCES[$i]}/tabs/open" \
      -d "{\"url\":\"${URLS[$i]}\"}"
    sleep 3
    TITLE=$(curl -s "http://localhost:9867/instances/${INSTANCES[$i]}/text" | jq -r '.title')
    echo "Site $i: $TITLE"
    curl -s -X POST "http://localhost:9867/instances/${INSTANCES[$i]}/stop"
  ) &
done

wait
echo "All tests complete"

MCP Integration

PinchTab provides an SMCP plugin for Claude Code integration:

# Set plugin directory
export MCP_PLUGINS_DIR=/path/to/pinchtab/plugins

# Available tools:
# - pinchtab__navigate
# - pinchtab__snapshot
# - pinchtab__action
# - pinchtab__text
# - pinchtab__screenshot
# - pinchtab__evaluate
# etc.

Headless vs Headed

ModeUse CaseMemorySpeed
HeadlessCI/CD, scraping, batch~50-80 MBFast
HeadedDebugging, visual QA~100-150 MBSlower
# Headless for production
pinchtab instances create --mode=headless

# Headed for debugging
pinchtab instances create --mode=headed

References

For detailed guidelines on specific areas:

External Resources


*Combine static analysis with real browser automation for comprehensive quality assurance.*

平台分布

OpenClaw

79.78%
按下载量换算2,721

安全审计

VirusTotal

可疑

ClawScan

可疑

Static analysis

未展示

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。来源安全扫描存在提醒或未通过项,安装前请自行复核。目前只有一个公开来源,建议同时核对源仓库。

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