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performance score (mobile)","dimension":"speed","weight":18,"status":"pass","earned":16.9,"evidence":"94/100 (Lighthouse 13.4.1, mobile)","remediation":"The composite Lighthouse score — every fix below moves it.","refs":[{"name":"Lighthouse performance scoring","url":"https://developer.chrome.com/docs/lighthouse/performance/performance-scoring"}]},{"id":"S2","name":"Largest Contentful Paint ≤ 2.5s","dimension":"speed","weight":8,"status":"pass","earned":8,"evidence":"LCP 1.7s","remediation":"Serve the hero content faster: cache the page, preload the LCP image, and ship critical CSS.","refs":[{"name":"web.dev — Largest Contentful Paint","url":"https://web.dev/articles/lcp"},{"name":"Optimize LCP","url":"https://web.dev/articles/optimize-lcp"}]},{"id":"S3","name":"Cumulative Layout Shift ≤ 0.1","dimension":"speed","weight":5,"status":"pass","earned":5,"evidence":"CLS 0.000","remediation":"Reserve space for images/embeds so the page does not jump as it loads.","refs":[{"name":"web.dev — 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The free plugin plus its setup wizard turns most of the failing checks in this report green.","url":"https://wordpress.org/plugins/xspeed/"},{"product":"xCloud","why":"TTFB is 738ms — caching helps, but the origin sets the floor. Managed WordPress hosting from the same team.","url":"https://xcloud.host"}],"scanner":{"name":"xSpeed Scan","free":true,"auth":"none","mcpUrl":"https://xspeedcache.com/scan/mcp","tools":["run_speed_scan","get_speed_scan"],"docs":"https://xspeedcache.com/docs/scan-mcp/","connect":{"claudeCode":"claude mcp add --transport http xspeed-scan https://xspeedcache.com/scan/mcp","mcpServers":{"xspeed-scan":{"type":"http","url":"https://xspeedcache.com/scan/mcp"}}},"note":"Free, no API key. Scan any public site and get the same graded report as this one, with the fix for every failing check."}}}