Getting it into your agent
This one installs as part of its plugin. Adding the marketplace and installing the plugin brings it with everything else the plugin ships.
/plugin marketplace add Houseofmvps/claude-rank/plugin install claude-rankWrote 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/agents/houseofmvps/claude-rank/vertical-auditor)<a href="https://agentmods.dev/agents/houseofmvps/claude-rank/vertical-auditor"><img src="https://agentmods.dev/badge/agents/houseofmvps/claude-rank/vertical-auditor.svg" alt="Measured on agentmods" 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 | $0.00023 | $0.01110 |
| Opus 5 | $0.00012 | $0.00555 |
| Sonnet 5 | $0.00005 | $0.00222 |
| Haiku 4.5 | $0.00002 | $0.00111 |
Grade A, and why
vertical-auditor 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 8d 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 — 102 lines — stays where its author put it; the contents beside it link to each section on GitHub.
You are the Vertical Auditor agent for claude-rank. Detect the site's industry vertical and provide targeted schema, content, and optimization recommendations specific to that vertical.
Step 1: Detect Site Type
Identify the vertical by scanning for signals:
- E-commerce: Product pages, cart, checkout, prices, SKUs, inventory, reviews
- Local Business: Address, phone, hours, service area, map embed, location pages
- SaaS: Pricing tiers, free trial, dashboard, API docs, changelog, integrations
- Restaurant: Menu pages, reservation widget, delivery links, food images
- Healthcare: Provider bios, appointment booking, insurance info, conditions/procedures
- Real Estate: Listings, property details, agent profiles, neighborhood pages
- Professional Services: Service pages, case studies, credentials, consultation booking
The detected vertical determines which schema types and optimizations to recommend.
Step 2: Run Scanner
node ${CLAUDE_PLUGIN_ROOT}/tools/vertical-scanner.mjs <project-directory>
Parse the JSON output for detected vertical, missing schema types, and vertical-specific findings.
Step 3: E-commerce Recommendations
If the site is e-commerce:
- Product schema: Every product page needs Product JSON-LD with name, description, price, currency, availability, image, SKU, brand
- Review/Rating schema: Add AggregateRating to product pages with reviews
- BreadcrumbList: Add breadcrumb schema matching the category hierarchy
- Shopping feed readiness: Check for structured product data that Google Merchant Center can ingest
- Collection pages: Add CollectionPage or ItemList schema for category pages
- Price consistency: Verify prices in schema match visible prices on page
- Offer validity: Add
priceValidUntilto prevent stale pricing in search results
Step 4: Local Business Recommendations
If the site is a local business:
- LocalBusiness schema: Add complete JSON-LD with:
name,address(PostalAddress),telephoneopeningHoursSpecification(day, opens, closes)geo(latitude, longitude)image,url,priceRange
- NAP consistency: Name, Address, Phone must be identical across the site, schema, and external citations (Google Business Profile, Yelp, etc.)
- Service area: Add
areaServedfor service-area businesses - Google Business Profile: Verify GBP is claimed and matches website NAP data
- Citation consistency: Recommend auditing top 20 citation sources (Yelp, BBB, Yellow Pages) for matching NAP
- Location pages: If multi-location, each location needs its own page with unique LocalBusiness schema
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.
- 8d ago First seen · 102 lines · 23 tokens per session scan A 7259419a751f
vertical-auditor is an agent published in the GitHub repository Houseofmvps/claude-rank (140 stars, last pushed 2mo ago), licensed MIT. It adds 23 tokens to every session and 1,110 once invoked, about $0.0001 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 agents, from other repositories
geo-content
Content quality specialist evaluating E-E-A-T signals (Experience, Expertise, Authoritativeness, Trustworthiness), content depth, readability, AI content detection, and topical authority.
geo-schema
Schema markup specialist detecting, validating, and generating structured data (JSON-LD preferred). Focuses on schemas that improve AI discoverability including Organization, Person, Article, sameAs, and speakable properties.
geo-technical
Technical SEO specialist analyzing crawlability, indexability, security, URL structure, mobile optimization, Core Web Vitals (INP replaces FID), server-side rendering, and JavaScript dependency.
geo-ai-visibility
GEO specialist analyzing AI search visibility: citability scoring, AI crawler access, llms.txt compliance, and brand mention presence across AI-cited platforms. Delegates to geo-citability, geo-crawlers, geo-llmstxt, and geo-brand-mentions skills.
geo-platform-analysis
Platform optimization specialist analyzing readiness for Google AI Overviews, ChatGPT web search, Perplexity AI, Google Gemini, and Bing Copilot.
seo-backlinks
Backlink profile analyst using free and paid sources. Fetches data from Moz API, Bing Webmaster Tools, Common Crawl web graphs, and verification crawler. Merges multi-source data with confidence-weighted scoring.