Getting it into your agent
One page per mod, every tool's command on it. A separate URL per tool would split the same page into five that compete with each other.
npx skills add lionkiii/claude-seo-skills --skill seo-localgit clone --depth 1 https://github.com/lionkiii/claude-seo-skillsWrote this? Show the measurements
A badge with what this costs and how it scanned, read live from this page, so it follows the numbers instead of freezing them. Markdown for a README, HTML for a documentation site or a project page.
[](https://agentmods.dev/skills/lionkiii/claude-seo-skills/seo-local)<a href="https://agentmods.dev/skills/lionkiii/claude-seo-skills/seo-local"><img src="https://agentmods.dev/badge/skills/lionkiii/claude-seo-skills/seo-local/github.svg" alt="Measured on agentmods" height="20"></a>Or the 80×15 button, for a site that already has a row of RSS and ATOM ones. Only the verdict fits; the numbers stay here.
<a href="https://agentmods.dev/skills/lionkiii/claude-seo-skills/seo-local"><img src="https://agentmods.dev/badge/skills/lionkiii/claude-seo-skills/seo-local.svg" alt="Reviewed on agentmods" width="80" height="20"></a>What it costs to keep this loaded
Counted locally with the o200k_base tokenizer, which is exact for GPT models; Claude uses its own tokenizer and its counts differ. Treat this as one consistent yardstick across the catalogue rather than a bill. Prices are per million input tokens.
| Model | Per session | Once invoked |
|---|---|---|
| Fable 5.1 | $0.00079 | $0.01447 |
| Opus 5 | $0.00039 | $0.00724 |
| Sonnet 5 | $0.00016 | $0.00289 |
| Haiku 4.5 | $0.00008 | $0.00145 |
Grade A, and why
seo-local scanned grade A with 0 findings against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 12d ago.
A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.
Nothing flagged
None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.
How it starts
The opening of the file, as written. The whole thing — 168 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Local SEO Audit
Performs a comprehensive local SEO audit from live URL fetching. No MCP required.
Inputs
business: Business name, URL, or location string.- If URL: fetch the homepage directly.
- If business name + location (e.g., "Acme Plumbing Austin TX"): note that live lookup is not possible; analyze any URL the user provides separately.
- Best input: homepage URL (e.g.,
https://acme-plumbing.com).
Execution
Step 1: Fetch and Extract Business Info
Fetch homepage with WebFetch. Also fetch /contact and /about if linked from homepage.
Extract from HTML:
- Business name (from
<title>, H1, or schema) - Address (street, city, state, zip, country)
- Phone number(s)
- Email address(es)
- Schema markup (look for
<script type="application/ld+json">blocks)
Step 2: NAP Consistency Check
NAP = Name, Address, Phone. Consistency across the site is a local ranking factor. Check: homepage, footer, contact page, about page, schema markup. For each location of NAP found, record exact text and flag discrepancies:
- Different phone formats (
(512) 555-1234vs512-555-1234) — NOTE (not critical) - Different address formats (abbreviated vs full state) — NOTE
- Completely different address or phone — CRITICAL flag
Step 3: Local Schema Audit
Check for these schema types in JSON-LD blocks:
LocalBusiness(or subtype:Plumber,Restaurant,MedicalBusiness, etc.)- Required properties:
name,address(asPostalAddress),telephone - Recommended:
geo(asGeoCoordinates),openingHours,url,image,priceRange PostalAddressrequires:streetAddress,addressLocality,addressRegion,postalCode
For any missing required/recommended properties, generate corrected JSON-LD at the end of output. Detect business type from schema type or page content to select appropriate LocalBusiness subtype.
Step 4: Google Business Profile Signals
Check for presence of:
- Google Maps embed (
maps.google.comorgoogle.com/mapsiframe) - GBP link (
business.google.com/or Google Maps URL with place ID) - Reviews integration (review schema, review widget, or link to Google reviews)
- Service area mentions (city names, county, "serving [city]" in body text)
- Operating hours on website
What this file has done since we first saw it
Hashed on every crawl. A supply-chain change to an agent config is a question of when, not whether, so the history is kept rather than the latest state alone.
- 12d ago First seen · 168 lines · 79 tokens per session scan A 2197feea7795
seo-local is a skill published in the GitHub repository lionkiii/claude-seo-skills (20 stars, last pushed 3mo ago), licensed MIT. It adds 79 tokens to every session and 1,447 once invoked, about $0.0004 per session on Opus 5. A static security scan graded it A with 0 findings. No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-30.
Other skills, from other repositories
seo-images
Image SEO audit for a URL or domain. Pulls raw image inventory via Firecrawl, then audits alt-text quality, modern-format coverage (WebP / AVIF), responsive sizing (srcset / sizes), lazy-loading and LCP signals (loading, fetchpriority, decoding), CLS-safe dimensions, descriptive file names, and ImageObject JSON-LD.…
seo-technical-audit
Focused one-shot technical SEO audit for a domain. Crawlability, indexability, security, mobile, structured data, JS rendering — single-pass deliverable, not a diff. Distinct from seo-drift (which tracks changes over time) and from seo-page (which audits keywords/traffic for one URL, not technical health). Use when…
seo-api
DataForSEO API integration architect for developers. Covers the entire DataForSEO surface — DataForSEO Labs (ranked keywords, keyword ideas/suggestions/related, domain rank overview, competitors, domain/page intersection, subdomains, relevant pages, bulk keyword difficulty, bulk traffic estimation, search intent…
seo-ads
Paid-search competitive landscape for a domain or keyword. Reconstructs the paid footprint keyword-by-keyword from live SERP ad blocks — advertisers, ad copy patterns, who else bids on the same keywords, CPC/competition signals, SERP shopping/ad-pack visibility — and produces a competitive ads brief plus a recommended…
seo-backlinks-profile
Full backlink profile for a domain — referring domains, anchor text distribution, authority distribution, IP and subnet diversity, growth/decay trend, toxic-candidate flagging. Distinct from seo-backlink-gap (which is gap-vs-competitor only). Produces a profile health score and reviewable disavow candidate list (never…
seo-content-audit
E-E-A-T + CITE quality audit for an EXISTING piece of content. Scores Experience, Expertise, Authoritativeness, Trustworthiness, and citation-readiness for AI search; surfaces veto items that block publication; produces a publish / publish-with-fixes / no-publish verdict. Distinct from seo-content-brief (produces a…