image-audit

Installation
SKILL.md

Image Audit

Check whether a site's images can actually be discovered, fetched, and understood by AI crawlers and vision-capable agents.

Scope: public-signal image audit against a live site (alt text, image sitemap, ImageObject schema, fetchability). This is not a WCAG/accessibility authoring guide for blog content — that belongs to the blog-writing skill pack. Structured data beyond images belongs to schema-markup-audit; sitemap coverage for pages (not images) belongs to sitemap-discovery-audit.

Workflow

  1. Identify key pages to sample: product pages, category/listing pages, and any page with a hero image.
  2. Check alt text presence and quality on each sampled page's key images.
  3. Check whether sitemap.xml declares <image:image> entries for those same images.
  4. Check whether ImageObject schema is present and complete where relevant (e.g. Product.image as a full ImageObject vs a bare URL string).
  5. Check fetchability: whether the image is reachable without executing JavaScript, and whether a <noscript> fallback exists for JS-only lazy-loaded images; whether the image request requires authentication or returns a geo-blocked response.
  6. Prioritize fixes that unblock the most images with the least effort (e.g. a missing <noscript> fallback template affects every lazy-loaded image site-wide).

Use the extraction and fetch commands in references/checks.md.

Output

Installs
3
GitHub Stars
1
First Seen
Aug 24, 2026
image-audit — wakqasahmed/ai-visibility-skills