audit-website_skill

This skill audits websites for SEO, performance, security, and content using the squirrelscan CLI, delivering actionable reports and health scores.
  • HTML

4

GitHub Stars

2

Bundled Files

2 months ago

Catalog Refreshed

3 months ago

First Indexed

Readme & install

Copy the install command, review bundled files from the catalogue, and read any extended description pulled from the listing source.

Installation

Preview and clipboard use veilstrat where the catalogue uses aiagentskills.

npx veilstrat add skill cdeistopened/opened-vault --skill audit-website

  • README.md1.1 KB
  • SKILL.md16.7 KB

Overview

This skill audits websites for SEO, performance, security, accessibility, content, and technical issues using the squirrelscan CLI. It runs a browser-like crawl against your site and returns LLM-optimized reports that include a 0–100 health score, category breakdowns, and prioritized, actionable recommendations. Use it to discover broken links, meta tag problems, rendering issues, security gaps, and other maintainability items across 230+ rules.

How this skill works

The skill invokes the squirrel CLI to crawl and analyze pages according to a chosen coverage mode (quick, surface, full). It evaluates pages across 21 rule categories and assigns severity levels and ranks, then generates a compact LLM-format report with overall score, per-category breakdowns, affected URLs, and repair suggestions. Results are cached in a local project database and support diffs between audits for regression tracking.

When to use it

  • Run an initial health check before a launch or migration
  • Debug technical SEO issues like canonicalization, redirects or meta tags
  • Locate and prioritize broken internal and external links
  • Validate structured data, Open Graph, and Twitter card markup
  • Monitor regressions after code or content changes using diff mode

Best practices

  • Prefer auditing the live site for true rendering and performance data
  • Start with a surface scan, then run a full scan for deep analysis
  • Use the llm output format for concise, actionable reports
  • Group repeatable content fixes (alt text, headings) and parallelize them
  • Re-audit after each fix batch and compare before/after scores

Example use cases

  • Generate a baseline audit and score for an e-commerce site before a marketing campaign
  • Run daily quick audits in CI to catch regressions in the build pipeline
  • Find and fix accessibility issues (alt text, contrast, keyboard focus)
  • Identify leaked secrets, mixed content, and missing security headers
  • Produce an LLM-friendly export to feed into downstream automation or task lists

FAQ

Install the squirrel CLI and ensure it is on PATH. Verify with 'squirrel --version' and initialize a project with 'squirrel init'.

Which coverage mode should I pick?

Use 'surface' for most audits, 'quick' for CI or monitoring, and 'full' for pre-launch deep dives.

Built by
VeilStrat
AI signals for GTM teams
© 2026 VeilStrat. All rights reserved.All systems operational
audit-website skill by cdeistopened/opened-vault | VeilStrat