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 me2resh/apexyard --skill seo-auditgit clone --depth 1 https://github.com/me2resh/apexyardWrote 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/me2resh/apexyard/seo-audit)<a href="https://agentmods.dev/skills/me2resh/apexyard/seo-audit"><img src="https://agentmods.dev/badge/skills/me2resh/apexyard/seo-audit/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/me2resh/apexyard/seo-audit"><img src="https://agentmods.dev/badge/skills/me2resh/apexyard/seo-audit.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- 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 | $0.00035 | $0.01486 |
| Opus 5 | $0.00017 | $0.00743 |
| Sonnet 5 | $0.00007 | $0.00297 |
| Haiku 4.5 | $0.00003 | $0.00149 |
Grade A, and why
seo-audit 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 7d 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 — 126 lines — stays where its author put it; the contents beside it link to each section on GitHub.
/seo-audit — Technical SEO Analysis
Deep-dive SEO audit against Google's best practices. Checks on-page SEO, technical SEO, and social sharing metadata. Invoke when /launch-check's SEO row shows WARN or FAIL.
See also:
/geo-auditfor the LLM/agent-discoverability sibling check —llms.txt,AGENTS.md, AI-crawler directives inrobots.txt, JSON-LD citation metadata, token economics./seo-auditcovers the Googlebot audience;/geo-auditcovers the LLM-crawler and coding-agent audience. The two run independently;/launch-checkfans out to both at milestone boundaries.
Process
Step 1: On-page SEO
Check each key page (index, about, pricing, blog, product pages) for:
<title>tag (exists, unique per page, 50-60 chars)<meta name="description">(exists, unique, 150-160 chars)<h1>tag (exactly one per page, contains target keyword)- Heading hierarchy (h1 → h2 → h3, no gaps)
- Internal linking between pages
- Image alt text containing relevant keywords (not keyword-stuffed)
Step 2: Technical SEO
robots.txtat root (exists, not blocking important pages)sitemap.xmlat root (exists, lists all public pages, submitted to Search Console)- Canonical URLs (
<link rel="canonical">on each page) - 404 page exists and returns HTTP 404 (not 200)
- Redirects: any redirect chains? (301 → 301 → page)
- URL structure: clean, readable, no query-string-based routing for content pages
- Mobile viewport meta tag:
<meta name="viewport" content="width=device-width, initial-scale=1">
Step 3: Social sharing (Open Graph + Twitter Cards)
og:title,og:description,og:image,og:urlon key pagesog:imagedimensions (1200x630 recommended)- Twitter card meta tags (
twitter:card,twitter:title,twitter:description,twitter:image) - Favicon and apple-touch-icon
Step 4: Structured data
- JSON-LD or Microdata for relevant schemas (Organization, Product, FAQ, BreadcrumbList, Article)
- Check validity: are required properties present?
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.
- 7d ago First seen · 126 lines · 35 tokens per session scan A 8f4fd8d78991
seo-audit is a skill published in the GitHub repository me2resh/apexyard (498 stars, last pushed yesterday), licensed MIT. It adds 35 tokens to every session and 1,486 once invoked, about $0.0002 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 2026-09-03.
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