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 qte77/claude-code-plugins --skill auditing-website-seo-geogit clone --depth 1 https://github.com/qte77/claude-code-pluginsWrote 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/qte77/claude-code-plugins/auditing-website-seo-geo)<a href="https://agentmods.dev/skills/qte77/claude-code-plugins/auditing-website-seo-geo"><img src="https://agentmods.dev/badge/skills/qte77/claude-code-plugins/auditing-website-seo-geo/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/qte77/claude-code-plugins/auditing-website-seo-geo"><img src="https://agentmods.dev/badge/skills/qte77/claude-code-plugins/auditing-website-seo-geo.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 | $0.00067 | $0.01326 |
| Opus 5.5 | $0.00027 | $0.00530 |
| Sonnet 5.5 | $0.00013 | $0.00265 |
| Haiku 4.5 | $0.00007 | $0.00133 |
Grade A, and why
auditing-website-seo-geo 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.
How it starts
The opening of the file, as written. The whole thing — 127 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Website SEO & GEO Audit
Target: $ARGUMENTS
Audits a site for traditional SEO and Generative-Engine Optimization (GEO — visibility in AI search such as ChatGPT, Perplexity, Gemini, and Google AI Overviews) and generates implementable fixes. Prefer configuring the site or static-site generator so tags are emitted once (DRY) over hand-stuffing meta into every page. No over-analysis.
Audit Areas
Core meta
<title>(~30-60 chars, unique per page),<meta name="description">(~120-160 chars, entity-clear),langon<html>,charset,viewport(nomaximum-scale— it blocks zoom),robots,author,keywords,format-detection, and acanonicallink.
Open Graph & Twitter Card
og:title,og:description,og:url,og:type,og:site_name,og:image.twitter:card,twitter:title,twitter:description,twitter:image,twitter:site,twitter:creator.
Structured data (JSON-LD)
WebSite/Organization(name, url, logo, sameAs) and per-pageArticle/BlogPosting(headline, description, datePublished, author, publisher, image). Validate against the matching schema.org type.
GEO / AI-search
robots.txtAI user-agents (GPTBot, ClaudeBot, Google-Extended, CCBot, PerplexityBot, OAI-SearchBot) — the highest-leverage, best-honored lever.llms.txtat root — cheap, uncertain adoption; fine to keep.- Entity clarity, key info in the first ~160 chars, Q&A-friendly phrasing, explicit brand / product / service names.
Static-site-generator pitfalls (verify, do not assume)
- Do not double-emit. If an SSG plugin emits OG/Twitter/JSON-LD (e.g. jekyll-seo-tag, Next SEO), do NOT also hand-write those tags — duplicates result. Configure the plugin instead.
- Plugins emit conditionally. Twitter Card tags often need a configured
handle;
twitter:descriptionandog:image/twitter:imagemay not be emitted without explicit config or a per-page image. Fill only the genuine gaps in a single shared include.
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 · 127 lines · 67 tokens per session scan A 48086929c578
auditing-website-seo-geo is a skill published in the GitHub repository qte77/claude-code-plugins (3 stars, last pushed yesterday), licensed Apache-2.0. It adds 67 tokens to every session and 1,326 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 2026-09-03.
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