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 h4vzz/awesome-ai-agent-skills --skill seo-optimizationgit clone --depth 1 https://github.com/h4vzz/awesome-ai-agent-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/h4vzz/awesome-ai-agent-skills/seo-optimization)<a href="https://agentmods.dev/skills/h4vzz/awesome-ai-agent-skills/seo-optimization"><img src="https://agentmods.dev/badge/skills/h4vzz/awesome-ai-agent-skills/seo-optimization/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/h4vzz/awesome-ai-agent-skills/seo-optimization"><img src="https://agentmods.dev/badge/skills/h4vzz/awesome-ai-agent-skills/seo-optimization.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 | $0.00028 | $0.01646 |
| Opus 5.5 | $0.00011 | $0.00658 |
| Sonnet 5.5 | $0.00006 | $0.00329 |
| Haiku 4.5 | $0.00003 | $0.00165 |
Grade A, and why
seo-optimization 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 1mo 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.
This is a copy
100% identical to seo-optimization — 2 lines differ, which has more behind it and is treated as the original. This page carries a canonical link to it rather than competing with it.
How it starts
The opening of the file, as written. The whole thing — 101 lines — stays where its author put it; the contents beside it link to each section on GitHub.
SEO Optimization
This skill enables an AI agent to perform comprehensive search engine optimization on any webpage or website. The agent audits on-page factors (title tags, meta descriptions, headings, internal links), evaluates technical SEO health (Core Web Vitals, mobile-first indexing, crawlability), and implements structured data markup. The goal is to produce actionable recommendations that improve organic search rankings and click-through rates.
Workflow
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Crawl and inventory the page. Fetch the target URL and parse the full HTML document. Extract the title tag, meta description, canonical URL, Open Graph tags, all heading elements (H1–H6), images with alt attributes, and every internal and external link. Record the HTTP status code, response time, and redirect chain if applicable.
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Analyze on-page SEO elements. Evaluate the title tag for length (50–60 characters), keyword placement, and uniqueness. Check the meta description for length (150–160 characters) and compelling call-to-action language. Verify there is exactly one H1 tag that contains the primary keyword, and that H2–H4 tags form a logical content hierarchy. Flag missing alt text on images and broken internal links.
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Evaluate technical SEO factors. Assess Core Web Vitals — Largest Contentful Paint (LCP < 2.5s), First Input Delay (FID < 100ms), and Cumulative Layout Shift (CLS < 0.1). Check mobile-friendliness by analyzing the viewport meta tag and responsive layout. Verify the existence and correctness of
robots.txt, XML sitemap, canonical tags, and hreflang tags for international sites. Identify render-blocking resources and unused CSS/JS. -
Implement structured data markup. Generate JSON-LD schema markup appropriate to the page type — Article, Product, FAQ, BreadcrumbList, Organization, or LocalBusiness. Validate the markup against Google's Rich Results requirements. Ensure the schema references match the visible page content to avoid structured data penalties.
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.
- 1mo ago First seen · 101 lines · 28 tokens per session scan A 5780685c2f68
seo-optimization is a skill published in the GitHub repository h4vzz/awesome-ai-agent-skills (36 stars, last pushed 22d ago), licensed MIT. It adds 28 tokens to every session and 1,646 once invoked, about $0.0001 per session on Opus 5.5. A static security scan graded it A with 0 findings. It is 100% identical to seo-optimization, differing in 2 lines, and is treated as a copy.
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