Web quality audit
Skill dills122/ai-central/templates/skills/imported/web-quality-skills/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".From its SKILL.md
npx -y skills add dills122/ai-central --skill web-quality-auditAssembled from the repository path, not quoted from the project. Check it against their README if it does not work.
One thing to look at
- 0 stars0 stars. Stars are a popularity signal and not a quality one, but at this level it is likely that nobody has read this closely except its author, and you would be relying on your own review.
What its file declares
Copied from the file, not written here
The file declares its own license as MIT. That is the author’s claim about this one file, and it is not the same thing as the license GitHub reports for the repository, which is listed with the other numbers below.
SKILL.md
7.3 KB, ~1.7k tokens by cl100k_base, as published. Nobody here has run it
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 intoimage-delivery-insight. Treat older Lighthouse JSON output as a superset, not a contradiction.
How it works
- Analyze the provided code/project for quality issues
- Categorize findings by severity (Critical, High, Medium, Low)
- Provide specific, actionable recommendations
- 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 meaningfulalttext. Decorative images usealt="". - 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
langattribute 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
| Level | Description | Action |
|---|---|---|
| Critical | Security vulnerabilities, complete failures | Fix immediately |
| High | Core Web Vitals failures, major a11y barriers | Fix before launch |
| Medium | Performance opportunities, SEO improvements | Fix within sprint |
| Low | Minor optimizations, code quality | Fix 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
References
For detailed guidelines on specific areas:
What ships with it: 1 file
3.8 KB alongside SKILL.md, 1 of them executable
scripts/
- analyze.shruns3.8 KB
Gives 1 of the 12 instructions most audit compliance skills give in ~1.7k tokens
Counted across 937 of the 1,487 authors here whose files we hold, read 2026-08-07
- Fetch latest guidelines before each reviewin 43 of 937, across 3 files
- Group findings by severityhere, and in 43 of 937
- Check files against all fetched rulesin 42 of 937, across 2 files
- Output findings in terse file:line formatin 41 of 937, across 3 files
- Ask user which files to review if none specifiedin 41 of 937, across 3 files
- Read specified files or prompt user for filesin 39 of 937, across 1 file
- Generate the audit reportin 33 of 937, across 30 files
- Assign a severity to every findingin 25 of 937
- Run automated accessibility scansin 23 of 937, across 13 files
- Output a markdown audit reportin 22 of 937
- Map findings to WCAG criteriain 20 of 937, across 10 files
- Confirm audit scopein 19 of 937, across 9 files
Grouped from the skills themselves: near-identical wordings counted once, and counted by distinct author, so one author publishing three of these counts once. Length counted with cl100k_base; the agent that loads this file may tokenize it differently.