web-quality-audit

web-quality-audit is a skill for Claude Code, Codex from open-gsd/gsd-pi. It costs 52 tokens per session (1,548 once invoked), scanned A, original, MIT.

A web quality reviewer that checks a website or project for performance, accessibility, search-engine visibility, and common implementation practices. It organizes findings by severity and suggests concrete fixes.

In plain words
What is it for?
Use it to audit a site, investigate Lighthouse-style quality problems, or prepare recommendations for improving pages and their code.
Why use it?
It brings common website problems into one review instead of requiring separate checks for speed, accessibility, and SEO. It helps explain which issues matter most and how to address them.

Skill for Claude CodeCodex

Written for no agent in particular: nothing here depends on one.

Good fit Use it to audit a site, investigate Lighthouse-style quality problems, or prepare recommendations for improving pages and their code.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/open-gsd/gsd-pi/web-quality-audit
About the project

GSD Pi is a command-line coding agent and project workflow system that plans, implements, verifies, and tracks software work through milestones, tasks, Git worktrees, and stored project notes. It is for developers who want structured, longer-running agent sessions using different model providers. The catalogue entries extend GSD Pi with skills and agents.

open-gsd/gsd-pi · 1,210 stars · on GitHub · opengsd.net

Install

Getting it into your agent

One page per mod, every tool's command on it. A separate URL per tool would split the same page into five that compete with each other.

Any agent
npx skills add open-gsd/gsd-pi --skill web-quality-audit
Clone the repo
git clone --depth 1 https://github.com/open-gsd/gsd-pi

Made for: Claude Code, Codex.

Wrote this? Show the measurements

A badge with what this costs and how it scanned, read live from this page, so it follows the numbers instead of freezing them. Markdown for a README, HTML for a documentation site or a project page.

agentmods badge for web-quality-audit

README.md
[![agentmods](https://agentmods.dev/badge/skills/open-gsd/gsd-pi/web-quality-audit/github.svg)](https://agentmods.dev/skills/open-gsd/gsd-pi/web-quality-audit)
Your own site
<a href="https://agentmods.dev/skills/open-gsd/gsd-pi/web-quality-audit"><img src="https://agentmods.dev/badge/skills/open-gsd/gsd-pi/web-quality-audit/github.svg" alt="Measured on agentmods" height="20"></a>

Or the 80×15 button, for a site that already has a row of RSS and ATOM ones. Only the verdict fits; the numbers stay here.

agentmods 80×15 button for web-quality-audit

Your own site · 80×15
<a href="https://agentmods.dev/skills/open-gsd/gsd-pi/web-quality-audit"><img src="https://agentmods.dev/badge/skills/open-gsd/gsd-pi/web-quality-audit.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 52 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 1,548 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. A grade says what 26 rules found in the file — not that it is safe. Third-party audits
  • NVIDIA SkillSpector pass 7 Sept 2026
How audits are shown
Origin original No closer match found in the catalogue.
Token cost

What it costs to keep this loaded

Counted locally with the o200k_base tokenizer, which is exact for GPT models; Claude uses its own tokenizer and its counts differ. Treat this as one consistent yardstick across the catalogue rather than a bill. Prices are per million input tokens.

ModelPer sessionOnce invoked
Fable 5.1 $0.00052 $0.01548
Opus 5 $0.00026 $0.00774
Sonnet 5 $0.00010 $0.00310
Haiku 4.5 $0.00005 $0.00155

Measured 5d ago against content hash 0bde08085c87, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-08, from the pricing page.

Security

Grade A, and why

web-quality-audit scanned grade A with 0 findings against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 5d ago.

The scan reads SKILL.md. This mod also ships 1 executable file (scripts/analyze.sh), listed below but not scanned — reading those needs a real analyzer, not pattern matching.

A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.

Nothing flagged

None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.

Origin

Copies of this mod

4 near-identical copies found in the catalogue:

src/resources/skills/web-quality-audit/SKILL.md · 169 lines

How it starts

The opening of the file, as written. The whole thing — 169 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Web quality audit

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

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.

Read the full file on GitHub · 169 lines

Files

What ships with it

1 file beside SKILL.md in the same directory: the scripts, references and assets a skill reads on demand. Not counted in the per-session cost; read them before you install if any of them is executable.

Changes

What this file has done since we first saw it

Hashed on every crawl. A supply-chain change to an agent config is a question of when, not whether, so the history is kept rather than the latest state alone.

  1. 5d ago First seen · 169 lines · 52 tokens per session scan A 0bde08085c87

Subscribe to this mod's changes

web-quality-audit is a skill published in the GitHub repository open-gsd/gsd-pi (1,210 stars, last pushed today), licensed MIT. It adds 52 tokens to every session and 1,548 once invoked, about $0.0003 per session on Opus 5. A static security scan graded it A with 0 findings. No closer match exists in the catalogue, so it is treated as the original; first seen 2026-09-03.