Builds a per-page WCAG 2.2 compliance score report by aggregating output from one or more accessibility scanners (axe-core / pa11y / lighthouse / WAVE / IBM Equal Access), pivoting violations by Success Criterion (1.4.3 contrast, 2.4.7 focus visible, etc.), grouping by conformance level (A / AA / AAA), reporting per-page coverage gaps explicitly (the \"this page wasn't scanned\" failure mode), and emitting both an executive summary and a per-page drill-down. Use after a multi-page accessibility scan - pa11y-ci, axe across a sitemap, lighthouse-batch - when the team needs a shareable conformance report rather than a per-page tool dump.
70
88%
Does it follow best practices?
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Adds up to 20 points to the overall score
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Low
Low-risk findings worth noting
Low
Low-risk findings.
1 low severity finding. Worth noting, but not necessarily harmful.
The skill exposes the agent to untrusted, user-generated content from public third-party sources, creating a risk of indirect prompt injection. This includes browsing arbitrary URLs, reading social media posts or forum comments, and analyzing content from unknown websites.
SKILL.md describes CI aggregation that runs pa11y/axe/lighthouse and then normalizes their JSON outputs (including violation “help/message” and “selector” fields) into an LLM-ingested report, and those tool outputs are derived from outsider-authored web page content/HTML being scanned.
accessibility scanner JSON output (axe/pa11y/lighthouse) containing web-page-derived violation fields (selector, message/help)
content-type · 12 sites
The plugin normalizes accessibility scanner JSON outputs (axe, pa11y, lighthouse) that contain fields derived from outsider-authored web page HTML — specifically violation selectors (CSS selectors from the page DOM) and help/message text — into an LLM-ingested compliance report, creating an indirect prompt injection vector.