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 mercuryPark/oc-setup --skill seo-optimizationgit clone --depth 1 https://github.com/mercuryPark/oc-setupWrote 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/mercurypark/oc-setup/seo-optimization)<a href="https://agentmods.dev/skills/mercurypark/oc-setup/seo-optimization"><img src="https://agentmods.dev/badge/skills/mercurypark/oc-setup/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/mercurypark/oc-setup/seo-optimization"><img src="https://agentmods.dev/badge/skills/mercurypark/oc-setup/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 | $0.00024 | $0.00281 |
| Opus 5.5 | $0.00010 | $0.00112 |
| Sonnet 5.5 | $0.00005 | $0.00056 |
| Haiku 4.5 | $0.00002 | $0.00028 |
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 2mo 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.
What it actually says
SEO Optimization Guide
Meta Tags
Essential Tags
<title>Page Title - Brand Name</title>
<meta name="description" content="Compelling description under 160 chars">
<meta name="robots" content="index, follow">
<link rel="canonical" href="https://example.com/page">
Open Graph
<meta property="og:title" content="Title">
<meta property="og:description" content="Description">
<meta property="og:image" content="https://example.com/image.jpg">
<meta property="og:type" content="website">
Structured Data
JSON-LD
<script type="application/ld+json">
{
"@context": "https://schema.org",
"@type": "Article",
"headline": "Title",
"author": {"@type": "Person", "name": "Author"},
"datePublished": "2024-01-15"
}
</script>
Technical SEO
- Implement server-side rendering (SSR)
- Optimize Core Web Vitals (LCP, FID, CLS)
- Create XML sitemap
- Configure robots.txt
- Implement hreflang for i18n
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.
- 2mo ago First seen · 48 lines · 24 tokens per session scan A aa1ad2f2b1e1
seo-optimization is a skill published in the GitHub repository mercuryPark/oc-setup (2 stars, last pushed 6mo ago), licensed MIT. It adds 24 tokens to every session and 281 once invoked, about $0.0001 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 2026-08-31.
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