A quick, single-page SEO audit that runs Python scripts to check the basics: title tags, meta descriptions, H1s, canonicals, robots.txt, sitemap, schema markup. It generates an HTML report you can open in your browser instead of dumping findings to the terminal. The skill is opinionated about scope: it only checks what's in the template, nothing extra, and it makes you review keyword matches manually when the scripts can't judge semantic fit. If you want Core Web Vitals, OG tags, or deeper technical analysis, there's a separate seo-audit-full skill for that. This one is for "check this page real quick" situations where you need readable output in under a minute.
npx -y skills add jeffli1993/seo-audit-skill --skill seo-audit --agent claude-codeInstalls into .claude/skills of the current project.
A lightweight SEO agent skill designed for quick, default single-page SEO audits. Powered by OpenClaw. Suitable for first-time page checks or when a rapid assessment is needed without full technical depth.
Use seo-audit when:
If the user wants more depth, upgrade to seo-audit-full:
Tip: For deep technical audits, advanced on-page SEO, or full reports, use the
seo-audit-fullskill.
| Input | Required | Notes |
|---|---|---|
| Page URL | Yes | The page to audit |
| Raw HTML or page content | Optional | Enables more accurate on-page analysis |
| GSC / analytics data | Optional | Not required for basic audit |
If only a URL is provided and no source code or crawler data is available, clearly state:
Limitation: This audit is based on visible page content and publicly available signals only. Source code, GSC data, crawl logs, and performance metrics are not available for this audit.
Produce a Basic SEO Audit Report by filling the template at assets/report-template.html, then save it to a file — never print raw HTML to the terminal.
File naming: reports/<hostname>-<slug>-audit.html
https://example.com/blog/best-tools → reports/example-com-blog-best-tools-audit.html
https://example.com/ → reports/example-com-audit.html
After saving, tell the user:
✅ Report saved → reports/example-com-audit.html
Open it now? (yes / no)
If yes → run: open reports/example-com-audit.html
Template placeholders — fill each independently:
| Placeholder | Content |
|---|---|
{{summary_verdict}} | One sentence: total checks run, how many failed/warned/passed |
{{summary_critical_html}} | <li> per critical (fail) item, or <li class="summary-empty">None</li> |
{{summary_warnings_html}} | <li> per warning item, or <li class="summary-empty">None</li> |
{{summary_passing_html}} | <li> per passing check, or <li class="summary-empty">None</li> |
Run these scripts before writing any findings. They output structured JSON — use the JSON directly as evidence; do not re-fetch the same URLs manually.
Dependencies: pip install requests (html parsing uses Python stdlib)
# Step 1: site-level checks (robots.txt + sitemap.xml)
python scripts/check-site.py https://example.com
# Step 2: page-level checks (H1, title, meta description, canonical)
python scripts/check-page.py https://example.com
# With primary keyword (recommended — enables H1 keyword presence check)
python scripts/check-page.py https://example.com --keyword "running shoes"
# Optional: fetch raw page HTML for further inspection
python scripts/fetch-page.py https://example.com --output page.html
# Step 3: JSON-LD schema validation
python scripts/check-schema.py https://example.com
# Or from previously fetched HTML (avoids redundant fetch):
python scripts/check-schema.py --file page.html
Each script exits with code 0 (all pass/warn) or 1 (any fail/error).
STRICT SCOPE — do not add any check not listed below. No exceptions.
Allowed site-level checks (in {{site_checks_html}}):
Allowed E-E-A-T checks (in {{eeat_checks_html}}):
Contact logic (Contact row only):
/contact page is not required/contact alone is not a fail when About or footer/nav already expose contact infoAllowed page-level checks (in {{page_checks_html}}), output in this exact order:
URL Slug · Title Tag · Meta Description · H1 Tag · Canonical Tag · Image Alt Text · Word Count · Keyword Placement · Heading Structure · Internal Links · Schema (JSON-LD)
Image Alt Text logic:
⛔ HARD RULE — Output ONLY the check rows defined in report-template.html. If a check is not in the allowed lists above, do NOT output it — not even if you find issues. No exceptions. No "bonus" checks. No improvisation. The template is the single source of truth. Treat it as a strict whitelist.
Still BANNED (belong to seo-audit-full): OG tags · Twitter Card · Social tags · Page Weight · Core Web Vitals · Robots Meta
How to use the JSON output:
status → pass / warn / fail / error directly to the report check tabledetail string as the starting point for the Evidence line in findings<div class="subsection-label">Label</div> inside {{site_checks_html}}:
Crawlability · URL Canonicalization · i18n / hreflang · Schema (JSON-LD)
and <div class="subsection-label">E-E-A-T Trust Pages</div> before {{eeat_checks_html}}LLM review — mandatory when llm_review_required: true:
The script flags fields that require semantic or quality judgment it cannot perform.
Never leave llm_review_required: true unresolved — always make an explicit judgment call.
H1 — triggered when keyword_match == "partial":
h1_text : (from h1.values[0])
keyword : (the --keyword passed to the script)
Judge: Does this H1 semantically cover the keyword's search intent?
- Consider synonyms, natural variants, topic coverage
- yes → downgrade to "pass", note the variant
- no → keep "warn" or upgrade to "fail", explain the gap
Title — triggered when keyword_match == "partial" OR keyword_position != "start":
title : (from title.value)
keyword : (the --keyword passed)
Judge:
1. Does the title semantically cover the keyword's search intent?
2. Is the title grammatically correct and naturally readable?
3. Keyword position — apply different standards by page type:
- Homepage : Brand + core keyword is correct (e.g. "Acme | AI Workflow Automation")
Do NOT flag brand-first as a problem.
- Inner pages: Core keyword should lead (e.g. "AI Workflow Automation for Teams — Acme")
Flag if keyword is buried mid-title without good reason.
IMPORTANT — do NOT flag these as negatives:
- Years (e.g. "2026") → signal freshness, increase CTR — treat as positive unless
the page is explicitly evergreen content where dating would hurt longevity.
- Numbers (e.g. "5 best", "Top 10", "3 steps") → set clear expectations,
consistently outperform non-numeric titles in CTR — always treat as a plus.
- Specific qualifiers ("Open-Source", "Self-Hosted", "Free") → narrow intent
and attract higher-quality clicks — do not penalize.
URL Slug — triggered when keyword_match != "full" or is_homepage == false:
slug : (from url_slug.slug)
keyword : (the --keyword passed)
Judge:
1. Does the slug contain the primary keyword or a natural variant?
2. Is the path hierarchy logical? (/category/keyword is ideal)
3. Is it concise and human-readable?
Homepage (is_homepage: true): skip — no judgment needed.
Meta Description — always triggered when content is present:
meta_description : (from meta_description.value)
keyword : (the --keyword passed)
Judge all four:
1. Complete sentence(s)? (1-2 sentences, no fragments)
2. Mentions a concrete result — not vague fluff?
Good: "Cut design time by 60% with AI-powered templates"
Bad: "The best tool for all your design needs"
3. Keyword or natural synonym used once — not stuffed?
4. More specific than what a typical competitor would write?
IMPORTANT — do NOT flag these as negatives:
- Years (e.g. "2026") → signal freshness, improve CTR for time-sensitive queries.
Only note the year if the page is explicitly evergreen content where dating hurts.
- Numbers (e.g. "5 best", "3 steps") → concrete specificity, strong CTR signal.
- Trailing "and more." → minor style note at most, never a Warning or Fail.
Follow these steps in order:
Acknowledge scope — confirm this is a basic audit; note any missing data
Infer primary keyword — fetch the page with fetch-page.py, then determine the primary keyword:
"Inferred primary keyword: open source claude alternatives"
Run check-site.py — parse the JSON output for robots, sitemap, 404 handling, and URL canonicalization
404 check: fetch <origin>/this-page-definitely-does-not-exist-seo-audit-check
URL Canonicalization checks (each is a separate sub-check):
http://<host> — must 301 to https://. Returns 200 → Fail.https://www.<host> and https://<host> — one must 301 to the other. Both return 200 → Warn.E-E-A-T infrastructure check — for each trust page below, check two layers:
| Page | Required |
|---|---|
| About Us | Yes |
| Contact | Yes — see Contact-specific rules below |
| Privacy Policy | Yes |
| Terms of Service | Yes |
| Media / Partners | No — include only if present |
Status rules (About, Privacy, Terms, Media/Partners):
Contact-specific rules — a dedicated /contact page is optional:
/contact, /contact-us) — HTTP 200 counts as Existsmailto:, visible email, social links, or a contact form/contact when About or footer already expose contact info — note the existing pathway insteadRun check-page.py --keyword "<inferred_keyword>" — parse the JSON output for H1, title,
meta description, canonical, and URL slug
i18n / hreflang check — only run if the page contains hreflang tags or <html lang> suggests multi-language:
zh-CN not zh, en-US not en-us) — wrong code = Warnen) at root with no prefix,
other languages under subpaths (/zh/, /es/).
/page (en) + /zh/page + /es/page → Pass/en/page + /zh/page → Warn (en prefix is redundant, wastes crawl depth)Run check-schema.py — parse the JSON output for schema types and field validation
python scripts/check-schema.py https://example.com
# Or from previously fetched HTML:
python scripts/check-schema.py --file page.html
The script extracts JSON-LD blocks, validates @type and required fields per Schema.org spec.
llm_review_required: true is always set — confirm inferred_page_type matches actual page content.
Page type → expected @type reference:
| Page Type | Expected @type | Min. required fields |
|---|---|---|
| Homepage | WebSite + Organization | name, url, logo |
| Blog / Article | Article or BlogPosting | headline, datePublished, author, image |
| Product | Product | name, image, offers (price, priceCurrency) |
| FAQ | FAQPage | mainEntity[].name, acceptedAnswer.text |
| How-to | HowTo | name, step[].text |
| Local business | LocalBusiness | name, address, telephone |
| Generic landing | — | N/A — skip, no widely-supported type |
Summarize findings — each finding must follow the Evidence / Impact / Fix format
Priority actions — list the top 3 highest-impact fixes
Render report — save to reports/<hostname>-<slug>-audit.html, then ask user to open
Upgrade prompt — if issues beyond basic scope are found, suggest seo-audit-full
The Detail cell in check tables must follow these rules — no exceptions:
Pass → one short phrase. No lists, no elaboration.
Good: "Valid XML urlset · 104 URLs · referenced in robots.txt."
Bad: "Valid XML urlset with 104 URLs. Correctly referenced in robots.txt.
Blog posts are likely indexed through this sitemap."
Warn → one <div class="detail-issue"> with ≤2 bullet points. One <div class="detail-fix"> with the fix.
Good:
<div class="detail-issue">· Title 48 chars — 2 below minimum. · Year "2026" will date the page.</div>
<div class="detail-fix">Expand to 50–60 chars; remove year if evergreen.</div>
Bad: three-sentence prose explaining what a title tag is and why length matters.
Fail → same as Warn. Lead with the exact failure. No background explanations.
Do NOT explain what a check is, do NOT repeat information already visible in the status badge, do NOT treat the reader as unfamiliar with SEO basics.
Every important finding must follow this structure:
**Finding: [Finding Title]**
- **Evidence:** [What was observed — direct quote, screenshot ref, or measurable data]
- **Impact:** [Why this matters for SEO or UX]
- **Fix:** [Specific, actionable recommendation]
Do not write vague conclusions. If evidence is insufficient, state assumptions explicitly.
Include this at the end of every basic audit report:
Want a deeper analysis? This was a basic SEO audit covering site-level signals and core on-page checks. For advanced technical SEO, content quality scoring, structured data analysis, and full crawl-based findings, use the
seo-audit-fullskill.