web-quality-audit
addyosmani/web-quality-skills · Agent Skill
Abilità di audit della qualità delle pagine web per l'analisi nello stile Lighthouse per indicatori di prestazioni, accessibilità, raccomandazioni e segnali SEO.
Vai all'installazione ↓Panoramica
| Autore | |
|---|---|
| Repository | addyosmani/web-quality-skills ↗ |
| Cartella dello skill | web-quality-audit |
| Stelle | 2992 |
| Fork | 261 |
| File inclusi | 2 |
| Licenza | MIT |
| Aggiornato | 24 agosto 2026 |
| Link | Sorgente dello skill ↗ · Repository ↗ |
Verifica Mozgi
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Installazione
Uno skill è una cartella con un file SKILL.md. Scegli il tuo agente ed esegui i comandi in un terminale (macOS, Linux o Git Bash su Windows) dalla radice del progetto.
Incolla il prompt in Claude, Codex o un altro assistente: controllerà lo skill e lo installerà.
Install the “web-quality-audit” skill from mozgi.io (https://mozgi.io/skills/addyosmani-web-quality-audit/) for me. 1. Download the archive: https://mozgi.io/skills/addyosmani-web-quality-audit/download If it fails, take the skill folder from the source: https://github.com/addyosmani/web-quality-skills/tree/main/skills/web-quality-audit 2. Read SKILL.md and the other files. Check the skill is safe: no hidden commands, no sending data elsewhere, no scripts doing something other than described. If anything looks suspicious, stop and tell me. 3. Put the “web-quality-audit” folder into your agent's skills folder: .claude/skills/ for Claude Code, .agents/skills/ for Codex, .cursor/skills/ for Cursor, .gemini/skills/ for Gemini CLI. Inside the project if we are in one, otherwise in the home folder (~/.claude/skills/ etc.). 4. Make sure <skills folder>/web-quality-audit/SKILL.md exists. 5. Briefly tell me what this skill does and offer to try it on my task. If you cannot do a step yourself, tell me what to click or type.
git clone --depth 1 --branch main https://github.com/addyosmani/web-quality-skills.git /tmp/web-quality-skills mkdir -p .claude/skills cp -r /tmp/web-quality-skills/skills/web-quality-audit .claude/skills/web-quality-audit
Riavvia Claude Code: lo skill compare nell'elenco; per richiamarlo a mano usa /web-quality-audit. Per tutti i progetti: ~/.claude/skills.
git clone --depth 1 --branch main https://github.com/addyosmani/web-quality-skills.git /tmp/web-quality-skills mkdir -p .agents/skills cp -r /tmp/web-quality-skills/skills/web-quality-audit .agents/skills/web-quality-audit
Codex cerca gli skill in .agents/skills dalla cartella corrente fino alla radice del repo; richiamalo con /skills o $web-quality-audit. Per tutti i progetti: ~/.agents/skills.
git clone --depth 1 --branch main https://github.com/addyosmani/web-quality-skills.git /tmp/web-quality-skills mkdir -p .cursor/skills cp -r /tmp/web-quality-skills/skills/web-quality-audit .cursor/skills/web-quality-audit
Cursor carica lo skill all'avvio; richiamalo con “/” nella chat Agent. Cursor legge anche .claude/skills e .agents/skills. Per tutti i progetti: ~/.cursor/skills.
git clone --depth 1 --branch main https://github.com/addyosmani/web-quality-skills.git /tmp/web-quality-skills mkdir -p .gemini/skills cp -r /tmp/web-quality-skills/skills/web-quality-audit .gemini/skills/web-quality-audit
Gemini CLI propone di attivare lo skill quando il compito corrisponde: tu confermi. Per tutti i progetti: ~/.gemini/skills.
Leggi SKILL.md e i file correlati prima di installare. Clicca un file per l'anteprima.
Contenuto di SKILL.md
Testo originale dell'autore · sola letturaWeb quality audit
Comprehensive quality review that combines live browser evidence with source inspection. Covers Performance, Accessibility, SEO, Best Practices, and Agentic Browsing without treating an aggregate score as proof of quality.
> Lighthouse 13+. The Performance category now uses shared Performance Insights across Lighthouse and the DevTools Performance panel (announcement ↗). Follow current insight names and evidence. Do not require removed audit IDs or automatically recreate their recommendations; some were retired because they were noisy, inactionable, or easy to over-recommend.
How it works
1. Establish the audit target: representative URLs, important states and journeys, public versus authenticated access, and mobile/desktop scope.
2. If a page can run, read the measurement workflow and collect a minimal live baseline before searching the codebase broadly.
3. Use runtime failures to localize source inspection. Keep measured findings separate from hypotheses found only in code.
4. Categorize by user impact and confidence, then make or recommend specific fixes.
5. Re-run equivalent automated checks and the affected manual flows. Report what is verified and what still needs field or human validation.
Tool routing
Use the best capability already available; do not block the audit on optional setup.
| Need | Preferred route | Fallback |
|------|-----------------|----------|
| Performance and Core Web Vitals | Record a browser performance trace and analyze focused insights; with Chrome DevTools MCP, use performance_start_trace then performance_analyze_insight | Lighthouse CLI or PageSpeed Insights lab data |
| Real-user performance | CrUX values included in current DevTools trace summaries | PageSpeed Insights/CrUX Vis; direct CrUX API only when a key is already available or automation is requested |
| Accessibility, SEO, Best Practices, Agentic Browsing | Run a live Lighthouse audit; with Chrome DevTools MCP, use lighthouse_audit | Category-specific Lighthouse CLI audits plus manual checks |
| Rendered semantics and interaction | Inspect the accessibility tree and exercise the UI; with Chrome DevTools MCP, use take_snapshot and focused evaluate_script | Browser/manual testing |
| Source smoke test | scripts/analyze.sh <path> | Direct source inspection |
Chrome DevTools MCP's lighthouse_audit intentionally excludes performance. Its navigation mode reloads the page; use snapshot mode when preserving the current authenticated or user-created state matters. The static analyzer is a fast smoke test, not a substitute for a rendered-page audit.
Audit categories
Performance
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
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
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. Make each title descriptive and concise; display truncation varies by device and result type.
- Meta descriptions. Write useful, page-specific summaries; search engines may choose a different snippet.
- Heading hierarchy. The primary heading is descriptive and the structure is logical; do not fail valid HTML solely for using more than one
<h1>. - Descriptive link text. Not "click here" or "read more".
Technical SEO:
- Mobile-friendly. Responsive design. Tap targets ≥ 48px.
- HTTPS. Secure connection required.
- Page experience signals. Use field Core Web Vitals as evidence, without promising a ranking change.
- Structured data. JSON-LD for rich snippets (Article, Product, FAQ, etc.).
Best practices
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.
Agentic browsing
Use the Lighthouse Agentic Browsing results as technical signals for how well assistants can understand and interact with the rendered page.
- Accessible interaction surface. Semantic HTML, labels, names, roles, and states must expose meaningful controls in the accessibility tree.
- WebMCP integrations are valid when present. Review registered tools, schemas, and form coverage; do not add WebMCP solely to raise an audit score.
llms.txtis optional. A valid file may help compatible tools discover curated content, but a Lighthouse pass does not prove that search or AI products will ingest, rank, or cite it.- Keep this category separate from SEO claims. Agentic browsability is not evidence of search ranking or AI visibility.
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
### Evidence
| Signal | Scope/conditions | Result | Source |
|--------|------------------|--------|--------|
| LCP | URL, phone, p75/28 days | 3.1s (needs improvement) | CrUX |
| Accessibility | URL, mobile navigation | 92 | Lighthouse |
### Critical issues (X found)
- **[Category]** Issue description. File: `path/to/file.js:123`
- **Impact:** Why this matters
- **Evidence:** Measured failure, runtime observation, or source hypothesis
- **Fix:** Specific code change or recommendation
### High priority (X found)
...
### Summary
- Performance: measured status and X findings
- Accessibility: automated status, X findings, manual checks pending/passed
- SEO: X findings
- Best Practices: X findings
- Agentic Browsing: X findings or not available
### Recommended priority
1. First fix this because...
2. Then address...
3. Finally optimize...
### Verification
- Re-run results under the same conditions
- Manual checks completed
- Field validation still pending
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:
- Performance Optimization
- Core Web Vitals
- Accessibility
- SEO
- Best Practices
Domande frequenti
Che cosa fa lo skill web-quality-audit?
Abilità di audit della qualità delle pagine web per l'analisi nello stile Lighthouse per indicatori di prestazioni, accessibilità, raccomandazioni e segnali SEO.
Come si installa web-quality-audit?
Apri il blocco “Installazione” in questa pagina e scegli il tuo agente — Claude Code, Codex, Cursor o Gemini CLI — per i comandi pronti che copiano la cartella dello skill nel posto giusto. Oppure copia il prompt dalla scheda “Con l'assistente” e lascia che sia l'assistente a controllare e installare lo skill.
Con quali modelli AI funziona web-quality-audit?
Gli skill sono semplici istruzioni in Markdown (formato Agent Skills), quindi web-quality-audit funziona con qualsiasi agente che legge SKILL.md: Claude Code, Codex, Cursor, Gemini CLI, GitHub Copilot, OpenCode e altri. Il modello carica le istruzioni solo quando il compito corrisponde alla descrizione dello skill.
web-quality-audit è gratuito?
Lo skill è pubblicato apertamente da addyosmani con licenza MIT. Lo skill in sé non costa nulla: paghi solo il tuo fornitore AI per i token usati.
È sicuro installare gli skill?
Uno skill è un insieme di istruzioni che il tuo agente seguirà: leggi SKILL.md e i file correlati prima di installarlo. Gli script nella cartella dello skill vengono eseguiti solo se li esegue l'agente: controlla cosa fa e non concedere permessi superflui.
In cosa differisce uno skill da un server MCP o da un plugin?
Un server MCP o un plugin danno al modello nuovi strumenti: codice che viene eseguito e restituisce un risultato. Uno skill fornisce conoscenza e metodo: come affrontare il compito, quali passi seguire e com'è un buon risultato. Non servono server né chiavi API.