Claude SEO is an open-source Claude Code plugin that runs specialized agents and skills to audit websites across technical SEO, content quality, structured data, AI-search optimization, local and e-commerce SEO, and international SEO. SEO practitioners use it to produce prioritized recommendations based on primary-source guidance, with optional extensions for external data and crawling.
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 AgriciDaniel/claude-seo/plugin install claude-seoWrote 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/agricidaniel/claude-seo/seo-programmatic)<a href="https://agentmods.dev/skills/agricidaniel/claude-seo/seo-programmatic"><img src="https://agentmods.dev/badge/skills/agricidaniel/claude-seo/seo-programmatic/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/agricidaniel/claude-seo/seo-programmatic"><img src="https://agentmods.dev/badge/skills/agricidaniel/claude-seo/seo-programmatic.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- Socket pass
- Snyk pass
- NVIDIA SkillSpector pass
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 | $0.00072 | $0.02194 |
| Opus 5.5 | $0.00029 | $0.00878 |
| Sonnet 5.5 | $0.00014 | $0.00439 |
| Haiku 4.5 | $0.00007 | $0.00219 |
Grade A, and why
seo-programmatic 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 yesterday.
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.
Copies of this mod
8 near-identical copies found in the catalogue:
- seo-programmatic — 92% identical, 30 lines differ
- seo-programmatic — 92% identical, 30 lines differ
- seo-programmatic — 92% identical, 25 lines differ
- seo-programmatic — 92% identical, 30 lines differ
- seo-programmatic — 92% identical, 30 lines differ
- seo-programmatic — 92% identical, 30 lines differ
- 30x-seo-programmatic — 91% identical, 73 lines differ
- seo-programmatic — 91% identical, 43 lines differ
How it starts
The opening of the file, as written. The whole thing — 189 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Programmatic SEO Analysis & Planning
Build and audit SEO pages generated at scale from structured data sources. Enforces quality gates to prevent thin content penalties and index bloat.
Data Source Assessment
Evaluate the data powering programmatic pages:
- CSV/JSON files: Row count, column uniqueness, missing values
- API endpoints: Response structure, data freshness, rate limits
- Database queries: Record count, field completeness, update frequency
- Data quality checks:
- Each record must have enough unique attributes to generate distinct content
- Flag duplicate or near-duplicate records (>80% field overlap)
- Verify data freshness; stale data produces stale pages
Template Engine Planning
Design templates that produce unique, valuable pages:
- Variable injection points: Title, H1, body sections, meta description, schema
- Content blocks: Static (shared across pages) vs dynamic (unique per page)
- Conditional logic: Show/hide sections based on data availability
- Supplementary content: Related items, contextual tips, user-generated content
- Template review checklist:
- Each page must read as a standalone, valuable resource
- No "mad-libs" patterns (just swapping city/product names in identical text)
- Dynamic sections must add genuine information, not just keyword variations
URL Pattern Strategy
Common Patterns
/tools/[tool-name]: Tool/product directory pages/[city]/[service]: Location + service pages/integrations/[platform]: Integration landing pages/glossary/[term]: Definition/reference pages/templates/[template-name]: Downloadable template pages
URL Rules
- Lowercase, hyphenated slugs derived from data
- Logical hierarchy reflecting site architecture
- No duplicate slugs; enforce uniqueness at generation time
- Keep URLs under 100 characters
- No query parameters for primary content URLs
- Consistent trailing slash usage (match existing site pattern)
Internal Linking Automation
What ships with it
1 file beside SKILL.md in the same directory: the scripts, references and assets a skill reads on demand. Not counted in the per-session cost; read them before you install if any of them is executable.
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.
- yesterday Changed · +8 lines 655516bcdc74
- 19d ago Changed a987a228640c
- 24d ago Changed f4e7702cbf93
- 1mo ago Changed 31a1529c5462
- 1mo ago Changed · +2 lines 223318428780
- 1mo ago First seen · 179 lines · 72 tokens per session scan A 42ac4f8ef13e
seo-programmatic is a skill published in the GitHub repository AgriciDaniel/claude-seo (19,878 stars, last pushed 2d ago), licensed MIT. It adds 72 tokens to every session and 2,194 once invoked, about $0.0003 per session on Opus 5.5. 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
ads-audit
Run a source-grounded paid-advertising audit for one or more of Google, Meta, YouTube, LinkedIn, TikTok, Microsoft, Apple, Amazon, Reddit, Pinterest, Snapchat, and X. Use for full ad checks, account health reviews, paid-media diagnostics, partial audits after authentication or worker failure, missing-platform…
ads-meta
Audit Meta Ads measurement, Pixel and Events Manager, attribution, Facebook and Instagram creative, audiences, placements, automation, budgets, account structure, and policy. Use for Meta Ads, Facebook Ads, Instagram Ads, Advantage+, Pixel, Events Manager, or Meta account structure. Read-only; use…
ads-microsoft
Audit Microsoft Advertising measurement, UET, search and audience campaigns, Google imports, syndication, keywords, creative, bidding, budgets, Copilot inventory, and policy. Use for Microsoft Ads, Bing Ads, UET, Microsoft Audience Network, or Google Ads import. Read-only; use ads-optimize to change campaigns.
ads-amazon
Audit Amazon Ads profiles, regions, Sponsored Products, Sponsored Brands, Sponsored Display, DSP, portfolios, targeting, search terms, retail readiness, creative, budgets, ACOS, TACOS, reporting, and policy. Use for Amazon Ads, sponsored ads, Amazon PPC, ACOS, TACOS, ASIN advertising, Amazon DSP, or retail-media…
ads-landing
Audit paid-ad landing pages for message match, mobile experience, performance, accessibility, trust, forms, consent, tracking, security, and conversion friction. Use for landing-page audit, post-click experience, LP audit, conversion-rate optimization, form optimization, ad-to-page message match, redirects, blocked…
ads-linkedin
Audit LinkedIn Ads measurement, Insight Tag and conversions, professional audiences, lead generation, ABM, creative, bidding, budgets, pacing, automation, and policy. Use for LinkedIn Ads, Campaign Manager, Insight Tag, Lead Gen Forms, Thought Leader Ads, ABM campaigns, or B2B paid media.