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Seo Audit Full

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JeffLi1993
seo-audit-full

Advanced full SEO audit skill. Runs its own full workflow from local scripts, including the basic SEO checks plus PageSpeed, social metadata, and advanced review modules when available.

Overview

PublisherJeffLi1993
Repositoryseo-audit-skill
Skill nameseo-audit-full
Stars
765
Forks
99
Bundled files
8
LicenseMIT
Links
  • Markdown instructions

    A SKILL.md file the model loads on demand, so it only costs tokens when a request actually matches.

  • Works with any LLM

    AI skills are plain Markdown, not provider-specific code, so this works with GPT, Claude, Gemini, Grok, or a local model.

  • 8 bundled files

    Scripts, templates, and references the model can read while it works. Files are read-only and never executed.

  • Open source

    Published by JeffLi1993 on GitHub. Read the source before you install it.

Installation

Install the Seo Audit Full AI skill in TypingMind to use it with any LLM, or drop it into another agent that reads SKILL.md.

1

Install in TypingMind

TypingMind installs a skill straight from its GitHub folder — it reads SKILL.md, bundles the resource files, and stores the result locally.

  1. Open the app and go to Plugins → Skills.
  2. Choose "Install from GitHub".
  3. Paste the skill folder URL below and confirm.
    https://github.com/JeffLi1993/seo-audit-skill/tree/main/seo-audit-full
  4. Enable the skill in any chat where you want it available.
Plugins → Skills → Add skill → From GitHub URL, then paste the folder URL and press Continue.
2

Install in another agent

Any agent that reads the Agent Skills format can use this skill — copy the folder into that agent's skills directory.

Claude Code — .claude/skills
git clone --depth 1 https://github.com/JeffLi1993/seo-audit-skill.git /tmp/seo-audit-skill
mkdir -p .claude/skills
cp -r /tmp/seo-audit-skill/seo-audit-full .claude/skills/seo-audit-full
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Seo Audit Full in any TypingMind chat and the model takes it from there. Its name and description sit in the system prompt, and the moment a request matches, the model loads the full instructions itself — you never invoke it by hand, and it costs no tokens until it is actually used.

The model loads Seo Audit Full on its own as soon as a request matches it.

Works with any AI model

AI skills are plain Markdown instructions rather than provider-specific code, so Seo Audit Full is not tied to the model it was written for. Install it once in TypingMind and use it with GPT-5, Claude, Gemini, Grok, DeepSeek, Mistral, Llama, or a local model you run yourself — all on your own API keys.

  • Loaded only when it is needed

    The system prompt carries just the name and description. The instructions are fetched on the first matching request, so an idle skill costs nothing.

  • Switch models mid-chat

    Because the skill is instructions rather than code, changing model does not break it — the next model reads the same SKILL.md.

Skill instructions

This is the SKILL.md content the model loads. Read it before installing — a skill is instructions your model will follow.

seo-audit-full — Advanced Full SEO Audit

This skill runs a full single-page SEO audit from the seo-audit-full directory. It does not route to seo-audit when only a URL is provided.


When to Use This Skill

Use seo-audit-full when the user asks for:

  • "seo-audit-full"
  • "full SEO audit"
  • "advanced SEO audit"
  • "technical SEO audit"
  • "deep audit"
  • "comprehensive SEO review"
  • "audit everything"

URL-only requests are valid. When external datasets are not supplied, run the full public-signal workflow and clearly note missing data sources in the report.


Input Expected

InputRequiredNotes
Page URLYesThe primary page to audit
Primary keywordRecommendedImproves content relevance scoring
PageSpeed API keyYesRequired for full audit PageSpeed checks. Ask at the start and do not run PageSpeed without it.
Raw HTML or page contentOptionalEnables more accurate content checks when supplied
GSC / crawl / analytics dataOptionalInclude when supplied, otherwise mark unavailable
Competitor benchmark dataOptionalInclude when supplied

At the start of a full audit, ask the user for a PageSpeed Insights API key:

For PageSpeed checks, please provide a Google PageSpeed Insights API key.
Get one here: https://developers.google.com/speed/docs/insights/v5/get-started
Open "Acquiring and using an API key" → "Get a Key".
If you do not provide one, I will stop before running the full audit because
PageSpeed is a required full-audit module.

Do not run seo-audit-full PageSpeed checks without a PageSpeed API key supplied by --api-key, PAGESPEED_API_KEY, or GOOGLE_PAGESPEED_API_KEY. If the key is missing, stop and ask the user to configure it instead of rendering a full report with missing PageSpeed data.


Architecture: Full = Core + Performance + Advanced

┌─────────────────────────────────────────────────────────────┐
│  seo-audit-full Workflow                                    │
│                                                             │
│  Phase 1: Run core scripts (./scripts/)                     │
│  ┌──────────────────────────────────────────────────────┐   │
│  │  check-site.py      → robots.txt, sitemap, 404, URL  │   │
│  │  check-page.py      → title, H1, meta desc, slug     │   │
│  │  check-schema.py    → JSON-LD validation              │   │
│  │  fetch-page.py      → raw HTML for analysis           │   │
│  └──────────────────────────────────────────────────────┘   │
│                          ↓                                  │
│  Phase 2: Run performance + full-only scripts (./scripts/)  │
│  ┌──────────────────────────────────────────────────────┐   │
│  │  check-pagespeed.py → Lighthouse scores + metrics     │   │
│  │  check-social.py    → OG Tags + Twitter Card          │   │
│  │  (more scripts added here as modules grow)            │   │
│  └──────────────────────────────────────────────────────┘   │
│                          ↓                                  │
│  Phase 3: LLM-only advanced checks                         │
│  ┌──────────────────────────────────────────────────────┐   │
│  │  E-E-A-T content quality scoring                      │   │
│  │  Duplicate content signals                            │   │
│  │  Anchor text quality assessment                       │   │
│  └──────────────────────────────────────────────────────┘   │
└─────────────────────────────────────────────────────────────┘

Output

Produce an Advanced Full 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>-full-audit.html

https://example.com/blog/best-tools → reports/example-com-blog-best-tools-full-audit.html
https://example.com/                → reports/example-com-full-audit.html

After saving, tell the user:

✅ Full Report saved → reports/example-com-full-audit.html
   Open it now? (yes / no)

If yes → run: open reports/example-com-full-audit.html

Template placeholders — fill each independently:

PlaceholderContent
{{summary_verdict}}One sentence: total checks run, how many failed/warned/passed
{{summary_critical_html}}<li> per critical 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>
{{pagespeed_checks_html}}Full PageSpeed module using check-pagespeed.py output
{{site_checks_html}}Site-level check tables
{{eeat_checks_html}}E-E-A-T trust page table
{{page_checks_html}}Page-level check tables, including full-only additions
{{priority_actions_html}}Ordered priority action list
{{insights_html}}Optional finding walkthrough cards

Scripts

Run full scripts from this directory. All output is structured JSON — use it directly as evidence.

Dependencies: pip install requests

Phase 1: Core scripts

bash
# 1. site-level checks (robots.txt + sitemap.xml + 404 + URL canonicalization)
python scripts/check-site.py https://example.com

# 2. page-level checks (H1, title, meta description, canonical, URL slug)
python scripts/check-page.py https://example.com --keyword "primary keyword"

# 3. fetch raw HTML for downstream scripts
python scripts/fetch-page.py https://example.com --output /tmp/page.html

# 4. JSON-LD schema validation
python scripts/check-schema.py --file /tmp/page.html

Phase 2: Full-only scripts

bash
# 5. PageSpeed / Lighthouse checks
python scripts/check-pagespeed.py https://example.com --strategy mobile --timeout 180 --api-key "USER_PROVIDED_KEY"
# If no key was provided, do not run this command. Ask the user to configure a PageSpeed API key first.

# 6. Social tags: OG + Twitter Card validation
python scripts/check-social.py --file /tmp/page.html
# Or directly from URL:
python scripts/check-social.py https://example.com

Each script exits with code 0 (all pass/warn) or 1 (any fail/error).

PageSpeed can take 200 seconds. Use a 180-second timeout by default. If it still times out, mark the Page Speed module as error and state that the PageSpeed API timed out; do not treat that as confirmed page performance failure. If PageSpeed fails because Google returns a quota/API-key error after a key was provided, keep the audit running and render the PageSpeed module as error with this instruction: Get a PageSpeed API key at https://developers.google.com/speed/docs/insights/v5/get-started → "Acquiring and using an API key" → "Get a Key".


Scope — Full Audit Check Whitelist

Full runs its own core checks plus the full-only items marked ★ below.

Site-Level Checks (in {{site_checks_html}})

Core checks:

  • Sitemap URL Inventory · Staging Subdomain Indexation · robots.txt · sitemap.xml · 404 Handling · URL Canonicalization · i18n / hreflang

Staging Subdomain Indexation rules:

  • Check common staging/test hosts before robots.txt: test., staging., dev., preview., beta., uat.
  • Fail when a staging/test subdomain is publicly accessible, closely mirrors the production site, and is not protected by authentication, noindex, or a blocking robots.txt.
  • Warn when a staging/test subdomain is publicly accessible but similarity or index protection cannot be confirmed.
  • Pass when no public staging/test subdomain is detected, or detected staging hosts are protected by authentication, non-200 access, noindex, or Disallow: /.
  • Explain the impact as duplicate indexable pages: Google may treat test.example.com and www.example.com as separate but near-identical URLs, splitting ranking signals and competing with the production site.
  • Recommended fixes: add Basic Auth/password protection first; also block crawlers on the staging host with User-agent: * + Disallow: /; add page-level noindex if pages can still be accessed.

Sitemap URL Inventory rules:

  • Place this as the first module in {{site_checks_html}}, before the Crawlability table.
  • Render it as its own table with columns: Directory · URL Count · Page Type · Example Page.
  • Use check-site.py sitemap_inventory output to summarize first-level directories, URL counts, inferred page types, and one representative example URL.
  • Treat this as a site-level map, not a pass/fail single-page SEO audit.
  • Use status info unless sitemap URLs cannot be parsed; do not penalize a site for having many or few URLs in a directory without deeper evidence.
  • Always include a next-step note: the user can continue with deeper full audits by selecting representative sample URLs from major directories such as /blog/, /tools/, /alternatives/, /templates/, or /use-cases/.

Page Speed Checks (in {{pagespeed_checks_html}})

Full-only:

  • Lighthouse category scores: Performance · Accessibility · Best Practices · SEO
  • Lab metrics: FCP · LCP · TBT · CLS · Speed Index
  • Final URL and screenshot availability

E-E-A-T Checks (in {{eeat_checks_html}})

Core checks:

  • About Us · Contact · Privacy Policy · Terms of Service · Media/Partners (only if present)

Contact logic (Contact row only):

  • A dedicated /contact page is not required
  • Pass if contact is reachable via any of: dedicated contact page (HTTP 200) · About page with contact details · footer/nav mailto, email, social links, or contact form
  • Fail only when no contact pathway exists anywhere on the site
  • Missing /contact alone is not a fail when About or footer/nav already expose contact info

E-E-A-T infrastructure rules — two layers per trust page:

  • Layer 1 — Exists: HTTP 200 for the trust page URL (Contact uses Contact-specific rules above)
  • Layer 2 — Reachable: linked from footer or main nav
PageRequired
About UsYes
ContactYes — dedicated page optional; About or footer/nav contact details satisfy this
Privacy PolicyYes
Terms of ServiceYes
Media / PartnersNo — include only if present

Status rules (About, Privacy, Terms, Media/Partners):

  • Page missing (non-200) → Fail
  • Page exists but not linked in footer/nav → Warn
  • Page exists and linked in footer/nav → Pass
  • Optional page missing → skip, do not include row

Contact-specific rules:

  1. Try common paths (/contact, /contact-us) — HTTP 200 counts as Exists
  2. If no contact page, check the About page body for email, social, or contact details
  3. Also scan homepage footer and nav for mailto:, visible email, social links, or a contact form
  4. Exists Pass if any contact pathway is found
  5. Exists Fail only when no contact information is found anywhere
  6. Reachable Pass if a contact page link or contact details appear in footer/nav
  7. Reachable Warn if contact is only reachable inside About page content, not directly in footer/nav
  8. Do not recommend creating /contact when About or footer already expose contact info

Page-Level Checks (in {{page_checks_html}}), output in this exact order:

Core checks: URL Slug · Title Tag · Meta Description · H1 Tag · Canonical Tag · Image Alt Text · Word Count · Keyword Placement · Heading Structure · Internal Links · Schema (JSON-LD)

Schema (JSON-LD) rules:

  • Treat Schema as a quality check, not only a presence check.
  • Validate JSON-LD parseability, expected @type, required fields, recommended rich-result fields, nested fields, and primary-type conflicts.
  • Fail when JSON-LD is invalid, the expected schema type is missing, required fields are missing, or localized schema clearly points to the wrong language/URL.
  • Warn when recommended fields are missing, nested fields are incomplete, multilingual pages lack inLanguage, or localized schema cannot be fully confirmed.
  • Pass only when the expected schema type is present, required fields are present, no conflicts are found, and localized schema matches the current page language/URL when applicable.
  • For multilingual pages, each language version should have its own schema with matching inLanguage, language-specific headline/description where present, and url / mainEntityOfPage pointing to the current localized canonical URL.

★ Full-only additions:

  • OG Tags — og:title, og:description, og:image, og:type, og:url presence and validity
  • Twitter Card — twitter:card type, title/description/image (with OG fallback detection)

How to Use Script JSON Output

Same rules across full audit modules — map each field's status directly to the report check table:

  • status → pass / warn / fail / error → badge in report
  • detail → starting point for Evidence line
  • Do not contradict script output unless you have additional observable evidence

For check-site.py output:

  • staging_subdomains.status → Staging Subdomain Indexation row status
  • staging_subdomains.detail → Staging Subdomain Indexation row detail
  • staging_subdomains.public_hosts → evidence for public staging/test hosts
  • staging_subdomains.similar_hosts → fail evidence for production-like staging duplicates
  • robots.status → robots.txt row status
  • sitemap.status → sitemap.xml row status
  • sitemap_inventory.status → Sitemap URL Inventory module status
  • sitemap_inventory.directories[] → table rows with path, url_count, page_type, and example_url
  • sitemap_inventory.detail → short explanatory note below the inventory table

For check-schema.py output:

  • status → Schema (JSON-LD) row status
  • detail → Schema (JSON-LD) row detail
  • parse_errors → fail evidence for malformed JSON-LD
  • schemas[].fields_missing → fail evidence for missing required schema fields
  • schemas[].recommended_missing and schemas[].nested_issues → warning evidence
  • localized_schema.status → language/URL alignment status for multilingual schema
  • localized_schema.issues → evidence for schema language or URL mismatch

For check-social.py output:

  • og.status → OG Tags row status
  • twitter_card.status → Twitter Card row status
  • og.fields.* → individual field details for the detail cell
  • twitter_card.fields.* → individual field details, note fallback fields

For check-pagespeed.py output:

  • status → overall Page Speed status
  • category_status → Lighthouse Scores badge status
  • metric_status → Core Lab Metrics badge status
  • final_url → Final URL line
  • categories.performance.score → Performance score
  • categories.accessibility.score → Accessibility score
  • categories["best-practices"].score → Best Practices score
  • categories.seo.score → SEO score
  • compact_metrics.fcp.display_value → FCP
  • compact_metrics.lcp.display_value → LCP
  • compact_metrics.tbt.display_value → TBT
  • compact_metrics.cls.display_value → CLS
  • compact_metrics.si.display_value → Speed Index
  • screenshot truthy → Screenshot available

Do not use overall status for the Lighthouse Scores badge. Category scores use Lighthouse thresholds: 90–100 pass, 50–89 warn, 0–49 fail. Example: Performance 60, Accessibility 84, Best Practices 100, SEO 100 means category_status is warn. If LCP or Speed Index fails, metric_status and overall status may be fail while the Lighthouse Scores panel remains warn.

Inside {{pagespeed_checks_html}}, include a short Priority Actions list after the score/metric cards. Keep it to 2–4 concise items based on failing or warning PageSpeed fields:

  • LCP slow → optimize hero media, preload critical image, reduce render-blocking CSS
  • Speed Index slow → defer non-critical scripts and reduce above-the-fold JS/CSS
  • TBT high → split long tasks and delay third-party tags
  • Performance score warning/fail → prioritize the biggest Lighthouse opportunities

Always include the official diagnostic link: https://pagespeed.web.dev/


LLM Review Instructions

Core LLM reviews

Resolve every llm_review_required: true field before writing the report: H1 semantic judgment, Title keyword position, URL Slug evaluation, and Meta Description quality must all receive an explicit judgment.

Full-only LLM checks

OG Tags quality (always review):

og:title   : Does it differ meaningfully from <title>? It should be optimized for social sharing.
og:description : Is it compelling for social feeds? Different focus than meta description is OK.
og:image   : Is the URL an actual image path (not a page URL)?

Twitter Card completeness:

If twitter:card is "summary_large_image", twitter:image (or og:image fallback) must be
at least 300x157px. Flag if the image URL looks like a small icon or favicon.

Recommended Workflow

  1. Acknowledge full scope — confirm this is a full audit
  2. Infer primary keyword — read the page H1, title, and first paragraph unless the user provided one
  3. Phase 1: Run core scripts — check-site → check-page → fetch-page → check-schema
  4. Phase 2: Run full-only scripts — verify PageSpeed API key exists, then run check-pagespeed → check-social
  5. Core checks — 404 handling, URL canonicalization, E-E-A-T trust pages, i18n/hreflang
  6. PageSpeed checks — summarize Lighthouse category scores and lab metrics
  7. LLM-only advanced checks — E-E-A-T content quality, duplicate content signals, anchor text quality
  8. Summarize findings — Evidence / Impact / Fix format
  9. Priority actions — top 5 highest-impact fixes with effort/impact tags
  10. Render report — save to reports/<hostname>-<slug>-full-audit.html

Report Detail Writing Rules

Use strict formatting:

Pass → one short phrase. No lists, no elaboration.

Warn → one <div class="detail-issue"> with ≤2 bullet points. One <div class="detail-fix">.

Fail → same as Warn. Lead with the exact failure.


Mandatory Finding Format

**Finding: [Finding Title]**

- **Evidence:** [Observable fact, data point, or marked assumption]
- **Impact:** [SEO / UX consequence]
- **Fix:** [Actionable recommendation with example]

For Priority Actions, add effort/impact tags:

1. [High Impact / Low Effort] Fix og:image — social shares currently show no preview.

Reference Files

Bundled files

The model reads these on demand while the skill is loaded. They are exposed as readable files and are never executed.

Frequently asked questions

What does the Seo Audit Full AI skill do?

Advanced full SEO audit skill. Runs its own full workflow from local scripts, including the basic SEO checks plus PageSpeed, social metadata, and advanced review modules when available.

Why use Seo Audit Full on TypingMind?

Because you install it once and use it with any model. Seo Audit Full is plain Markdown rather than provider-specific code, so the same skill runs on GPT-5, Claude, Gemini, Grok, or a local model — and you can switch model mid-chat without it breaking. TypingMind runs on your own API keys, so you pay providers directly instead of a per-seat subscription, and your skills and chats stay in your own storage.

How do I install Seo Audit Full in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/JeffLi1993/seo-audit-skill/tree/main/seo-audit-full. TypingMind reads its SKILL.md and bundles its files and installs it as a skill you can enable per chat.

Which AI models can use Seo Audit Full?

Any model you connect in TypingMind. AI skills are plain Markdown instructions rather than provider-specific code, so GPT, Claude, Gemini, Grok, and local models can all load this skill when a request matches it.

How many AI models can I use with Seo Audit Full?

As many as you like. As long as a model supports skills, you can use Seo Audit Full with it — GPT, Claude, Gemini, Grok, DeepSeek, Mistral, Llama and more — all on TypingMind with your own API keys.

Is the Seo Audit Full AI skill free?

Yes. It is published on GitHub by JeffLi1993 under the MIT license. You only pay your own AI provider for the tokens you use.

What are AI skills?

An AI skill is a reusable instruction bundle that teaches an AI model how to do one specific task. It follows the open Agent Skills format: a SKILL.md file with a name and description, plus any scripts, templates or reference files the model may need. The model reads the instructions only when your request matches the skill, so an installed skill costs nothing until it is used.

How are AI skills different from plugins or MCP servers?

A plugin or MCP server gives a model new tools to call — code that runs somewhere and returns a result. An AI skill gives the model knowledge and process instead: how to approach a task, which steps to follow, what good output looks like. Skills are plain Markdown, so they need no server, no API key and no runtime, and they work with any model.

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