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データ・研究 · SKILL.md

site-audit

site-audit

Audit a website's content, structure, SEO health, and technical setup through SandBase. Use when asked for website audit, content audit, SEO health check, site structure analysis, or technical assessment.

Independent GitHub snapshot · Automated classification · Original documentation governs

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GitHub

name: site-audit description: Audit a website's content, structure, SEO health, and technical setup through SandBase. Use when asked for website audit, content audit, SEO health check, site structure analysis, or technical assessment.

Site Audit

Comprehensive website auditing through SandBase. Crawl sites, analyze content, check SEO fundamentals, and assess structure. Read the API map before selecting a capability.

Call SandBase capabilities

Use the capability identifiers below as discovery hints, not MCP tool names. Find the matching endpoint with sandbase_discover(q: "<provider and capability>"); use its returned name in sandbase_inspect(name: "<returned name>"). Read inputSchema, pricing, and execute_as, then call sandbase_run using execute_as.arguments.name and schema-defined arguments. If a run_id is returned, poll sandbase_run_get(run_id: "<returned run_id>") within the task budget until completed or failed; report pending or failed runs without resubmitting them automatically.

Operating principles

  • Start with site structure before diving into page-level analysis.
  • Prioritize issues by impact: broken critical pages > SEO optimizations > nice-to-haves.
  • Sample representative pages rather than auditing every page on large sites.
  • Report both findings and actionable recommendations.

Workflow

1. Discover site structure

Use firecrawl_map to list all pages on the site. Use context_dev_crawl_sitemap for sitemap-based discovery.

2. Crawl and extract content

Use firecrawl_crawl for multi-page content extraction. Use context_dev_scrape_markdown for individual page content.

3. SEO analysis

Use dataforseo_v3_on_page_content_parsing_live for structured content analysis. Use dataforseo_v3_on_page_keyword_density_live for keyword optimization.

4. Visual and technical

Use context_dev_capture_screenshot for visual assessment. Use context_dev_scrape_html for technical HTML analysis.

Output

Return: site structure overview, page count, content assessment, SEO findings (title tags, headings, keyword usage), technical issues, and prioritized action items.

Example tasks

  • "Audit [website] — structure, content quality, and SEO health."
  • "How many pages does [website] have and what types of content?"
  • "Check the SEO basics for [URL] — title, headings, keyword density."
  • "Crawl [website] and identify thin or duplicate content pages."
  • "Take screenshots of [website]'s key pages for a visual audit."
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