# Site Capture Audit > Captures a website (raw HTML), cleans pages to markdown, pulls sitemaps and robots.txt, then produces a prioritized 90-day quick-win SEO audit. Use when onboarding a new site, baselining technical SEO and on-page health, or building a ranked P0/P1/P2 fix list across indexability, on-page, content, and conversion. - Skill: `sujanbhuiyan/site-capture-audit` (Agent Skill, multi-file: 3 files) - Install (CLI): `npx skillmds@latest add sujanbhuiyan/site-capture-audit` - Raw SKILL.md: https://api.skillmd.com/api/skills/sujanbhuiyan/site-capture-audit/raw - Safety review: pending - Works with: Claude Code, Claude.ai, OpenAI Codex - Category: Marketing & Growth - License: MIT - Author: sujanbhuiyan (https://skillmd.com/u/sujanbhuiyan) - Updated: 2026-09-17 - Page: https://skillmd.com/skills/sujanbhuiyan/site-capture-audit --- # Site Capture & Audit ## What this does Captures a website to local files, then turns that capture into a prioritized, 90-day quick-win audit. The capture step saves raw HTML, a cleaned text/markdown version of each page, and the site's `sitemap.xml` + `robots.txt`. The audit step grades the site against a P0/P1/P2 rubric covering technical SEO (indexability, canonicals, redirects), on-page (titles, meta, headings, schema, internal links), content depth, Core Web Vitals, and conversion — and emits a ranked fix list with effort/impact. ## When to use it - Onboarding a new client/site and you need a fast, evidence-based baseline. - Auditing technical + on-page SEO before a redesign, migration, or content push. - Producing a defensible "first 90 days" quick-win list for a stakeholder. ## How to use it 1. Capture the site with the bundled script: `python scripts/capture.py https://example.com --max 25 --out ./capture` It fetches the homepage, discovers more URLs via `sitemap.xml` / `robots.txt`, saves raw HTML to `/raw-html/`, cleaned markdown to `/clean-md/`, and `/sitemaps/` (sitemaps + robots.txt). See the script `--help`. 2. Read the cleaned pages in `/clean-md/` and skim the raw HTML `` blocks for titles, meta, canonical, robots directives, and JSON-LD. 3. Work through [`references/audit-checklist.md`](references/audit-checklist.md) in priority order — P0 indexability first, then P1 on-page, then P2 depth + CWV + conversion. Record evidence (the actual title, the missing canonical, the redirect chain) for each finding. 4. For each finding assign: **severity** (P0/P1/P2), **impact** (high/med/low), **effort** (S/M/L), and the concrete **fix**. 5. Write the audit as a ranked table grouped by priority, with a short executive summary and a 90-day sequencing (do P0 in weeks 1–2, etc.). 6. For schema gaps found in the audit, hand off to a `schema-org-sprint` skill; for content gaps, hand off to a content-brief skill. ## Inputs - A base URL (the site to capture and audit). - Optional: a max page count (`--max`) and output dir (`--out`). - Optional: access to Google Search Console / analytics to ground impact (the audit works from the capture alone, but real query/traffic data sharpens it). ## Output - A capture folder: `raw-html/`, `clean-md/`, `sitemaps/`. - A prioritized 90-day quick-win audit (markdown): executive summary, ranked P0/P1/P2 findings with evidence + fix + effort/impact, and a week-by-week plan. ## Notes & constraints - The capture script uses only the Python standard library (`urllib`) plus **optional** BeautifulSoup; if BeautifulSoup is absent it falls back to a regex tag-strip, so it runs on a stock Python 3. It sets a descriptive User-Agent and adds a small delay between requests to be polite. - It only fetches when **you** invoke it with a URL. Respect `robots.txt`, rate limits, and the site owner's terms; capture sites you're authorized to. - The audit is an expert review against the rubric, not a substitute for live Core Web Vitals field data or full crawl tooling — call those out where they'd change a conclusion. - Use forward-slash paths.