Web Quality Audit logo

Web Quality Audit

Organization
NVlabs
web-quality-audit

Comprehensive web quality audit covering performance, accessibility, SEO, and best practices. Use when asked to "audit my site", "review web quality", "run lighthouse audit", "check page quality", or "optimize my website".

Overview

PublisherNVlabs
RepositorySkill2Env
Skill nameweb-quality-audit
Stars
189
Forks
18
Bundled files
1
LicenseMIT
Links
  • Markdown instructions

    A SKILL.md file the model loads on demand, so it only costs tokens when a request actually matches.

  • Works with any LLM

    AI skills are plain Markdown, not provider-specific code, so this works with GPT, Claude, Gemini, Grok, or a local model.

  • 1 bundled files

    Scripts, templates, and references the model can read while it works. Files are read-only and never executed.

  • Open source

    Published by NVlabs on GitHub. Read the source before you install it.

Installation

Install the Web Quality Audit AI skill in TypingMind to use it with any LLM, or drop it into another agent that reads SKILL.md.

1

Install in TypingMind

TypingMind installs a skill straight from its GitHub folder — it reads SKILL.md, bundles the resource files, and stores the result locally.

  1. Open the app and go to Plugins → Skills.
  2. Choose "Install from GitHub".
  3. Paste the skill folder URL below and confirm.
    https://github.com/NVlabs/Skill2Env/tree/main/SkillHub/skills/addy-osmani/web-quality-audit
  4. Enable the skill in any chat where you want it available.
Plugins → Skills → Add skill → From GitHub URL, then paste the folder URL and press Continue.
2

Install in another agent

Any agent that reads the Agent Skills format can use this skill — copy the folder into that agent's skills directory.

Claude Code — .claude/skills
git clone --depth 1 https://github.com/NVlabs/Skill2Env.git /tmp/Skill2Env
mkdir -p .claude/skills
cp -r /tmp/Skill2Env/SkillHub/skills/addy-osmani/web-quality-audit .claude/skills/web-quality-audit
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Web Quality Audit in any TypingMind chat and the model takes it from there. Its name and description sit in the system prompt, and the moment a request matches, the model loads the full instructions itself — you never invoke it by hand, and it costs no tokens until it is actually used.

The model loads Web Quality Audit on its own as soon as a request matches it.

Works with any AI model

AI skills are plain Markdown instructions rather than provider-specific code, so Web Quality Audit is not tied to the model it was written for. Install it once in TypingMind and use it with GPT-5, Claude, Gemini, Grok, DeepSeek, Mistral, Llama, or a local model you run yourself — all on your own API keys.

  • Loaded only when it is needed

    The system prompt carries just the name and description. The instructions are fetched on the first matching request, so an idle skill costs nothing.

  • Switch models mid-chat

    Because the skill is instructions rather than code, changing model does not break it — the next model reads the same SKILL.md.

Skill instructions

This is the SKILL.md content the model loads. Read it before installing — a skill is instructions your model will follow.

Web quality audit

Comprehensive quality review based on Google Lighthouse audits. Covers Performance, Accessibility, SEO, and Best Practices across 150+ checks.

Lighthouse v13 note (Oct 2025+). Lighthouse has migrated the Performance category from per-opportunity audits to Performance Insight Audits (announcement). Several individual audit names this skill historically referenced — First Meaningful Paint, No Document Write, Uses Passive Event Listeners, Uses Rel Preload — have been removed or merged. The underlying advice is unchanged and still applies; only the report format moved. The CLS-related audits ("layout shifts", "non-composited animations", "unsized images") are now consolidated into a single cls-culprits-insight, and image audits are merged into image-delivery-insight. Treat older Lighthouse JSON output as a superset, not a contradiction.

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

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:

markdown
## 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

References

For detailed guidelines on specific areas:

Bundled files

The model reads these on demand while the skill is loaded. They are exposed as readable files and are never executed.

Frequently asked questions

What does the Web Quality Audit AI skill do?

Comprehensive web quality audit covering performance, accessibility, SEO, and best practices. Use when asked to "audit my site", "review web quality", "run lighthouse audit", "check page quality", or "optimize my website".

Why use Web Quality Audit on TypingMind?

Because you install it once and use it with any model. Web Quality Audit is plain Markdown rather than provider-specific code, so the same skill runs on GPT-5, Claude, Gemini, Grok, or a local model — and you can switch model mid-chat without it breaking. TypingMind runs on your own API keys, so you pay providers directly instead of a per-seat subscription, and your skills and chats stay in your own storage.

How do I install Web Quality Audit in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/NVlabs/Skill2Env/tree/main/SkillHub/skills/addy-osmani/web-quality-audit. TypingMind reads its SKILL.md and bundles its files and installs it as a skill you can enable per chat.

Which AI models can use Web Quality Audit?

Any model you connect in TypingMind. AI skills are plain Markdown instructions rather than provider-specific code, so GPT, Claude, Gemini, Grok, and local models can all load this skill when a request matches it.

How many AI models can I use with Web Quality Audit?

As many as you like. As long as a model supports skills, you can use Web Quality Audit with it — GPT, Claude, Gemini, Grok, DeepSeek, Mistral, Llama and more — all on TypingMind with your own API keys.

Is the Web Quality Audit AI skill free?

Yes. It is published on GitHub by NVlabs under the MIT license. You only pay your own AI provider for the tokens you use.

What are AI skills?

An AI skill is a reusable instruction bundle that teaches an AI model how to do one specific task. It follows the open Agent Skills format: a SKILL.md file with a name and description, plus any scripts, templates or reference files the model may need. The model reads the instructions only when your request matches the skill, so an installed skill costs nothing until it is used.

How are AI skills different from plugins or MCP servers?

A plugin or MCP server gives a model new tools to call — code that runs somewhere and returns a result. An AI skill gives the model knowledge and process instead: how to approach a task, which steps to follow, what good output looks like. Skills are plain Markdown, so they need no server, no API key and no runtime, and they work with any model.

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