web-quality-skills: Agent Skills for optimizing web quality based on Lighthouse and Core Web Vitals

by addyosmani · Claude Skill · ★ 2.7k

Last updated: · Indexed by AgentSkillsHub · Auto-synced every 8h

How to install web-quality-skills

npx skills add addyosmani/web-quality-skills
npx add-skill addyosmani/web-quality-skills

Taken from the project's README on GitHub. Check the security audit before running it.

Security audit verdict: SAFE · quality 77/100

None of the 42 rules matched — no credential harvesting, no data exfiltration, no curl-pipe-shell installer. Scanned against 42 published rules built on the SlowMist agent-security taxonomy, refreshed every 8 hours. Full audit →

The quality score combines nine heuristic checks of the repo and its README: completeness, clarity, specificity, examples, structure, agent readiness, step-by-step content, instruction quality and security notes. It rates how well the project explains itself to an agent, not the code.

accessibilityagent-skillsclaude-skillscore-web-vitalslighthouseskillstestingweb-performance

Quick Facts

Stars2,693
Forks243
LanguageShell
CategoryClaude Skill
LicenseMIT
Quality Score77/100
Open Issues4
Last Updated2026-08-24
Created2026-01-18
Platformsbrowser, claude-code, cli
Est. Tokens~6k

About web-quality-skills

Web Quality Skills An (unofficial) comprehensive collection of Agent Skills for optimizing web projects based on Google Lighthouse guidelines and Core Web Vitals best practices. Stack-agnostic. Works with any framework: React, Vue, Angular, Svelte, Next.js, Nuxt, Astro, plain HTML, and more.

Compatible Skills

These tools work well together with web-quality-skills for enhanced workflows:

  • awesome-agent-skills — semantic(0.15)+complementary+same_lang+similar_pop+shared_platform (55%)
  • skills — semantic(0.27)+complementary+same_lang+similar_pop+shared_platform (55%)
  • tutor-skills — semantic(0.24)+complementary+same_lang+similar_pop+shared_platform (53%)
  • seo-geo-claude-skills — semantic(0.20)+complementary+same_lang+similar_pop+shared_platform (52%)
  • agent-skills — semantic(0.17)+complementary+same_lang+similar_pop+shared_platform (51%)

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How this security grade is produced

Grades come from a rule-based scan built on the SlowMist agent-security taxonomy: 42 published rules, covering credential harvesting, data exfiltration, curl | sh installers and more. It is a first-layer scan, not a manual audit — we say so rather than overstate it.

The scale of the problem is documented independently: Liu et al. (2026), in a study of 31,132 agent skills, report that 26.1% contain security vulnerabilities. Our own full-catalog census is published as a citable open dataset.

Sources & who's responsible:

View on GitHub → Browse Claude Skill tools