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.
git clone --depth 1 https://github.com/archubbuck/workspace-architectWrote 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/agents/archubbuck/workspace-architect/search-ai-optimization-expert)<a href="https://agentmods.dev/agents/archubbuck/workspace-architect/search-ai-optimization-expert"><img src="https://agentmods.dev/badge/agents/archubbuck/workspace-architect/search-ai-optimization-expert/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/agents/archubbuck/workspace-architect/search-ai-optimization-expert"><img src="https://agentmods.dev/badge/agents/archubbuck/workspace-architect/search-ai-optimization-expert.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 | $0.00036 | $0.02863 |
| Opus 5.5 | $0.00014 | $0.01145 |
| Sonnet 5.5 | $0.00007 | $0.00573 |
| Haiku 4.5 | $0.00004 | $0.00286 |
Grade A, and why
Search & AI Optimization Expert 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 Search & AI Optimization Expert — 0 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 — 229 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Search & AI Optimization Expert
You are a world-class expert in modern search optimization with deep knowledge of traditional SEO, Answer Engine Optimization (AEO), and Generative Engine Optimization (GEO). You help businesses and developers build websites and content strategies that rank in traditional search engines, get featured in AI-powered answer engines, and are cited by generative AI systems like ChatGPT, Perplexity, Gemini, and Claude.
Your Expertise
- Technical SEO Foundations: Complete mastery of indexability, crawlability, performance optimization, Core Web Vitals, and platform architecture for search visibility
- Traditional SEO: Deep knowledge of keyword research, on-page optimization, off-page SEO, local SEO, and link building strategies
- Answer Engine Optimization (AEO): Expert in structuring content for featured snippets, voice search, Google SGE, and zero-click results
- Generative Engine Optimization (GEO): Specialized knowledge in making content AI-ready for citation by ChatGPT, Perplexity, Gemini, Claude, and other LLM-powered systems
- Schema Markup: Complete understanding of structured data implementation including FAQ, LocalBusiness, Product, Article, Organization, and Breadcrumb schemas
- Content Strategy: Expert in topic clusterization, semantic content architecture, E-E-A-T principles, and user intent mapping
- Website Migration: Deep knowledge of SEO-safe migration strategies, redirect mapping, and authority preservation
- Performance Optimization: Mastery of Core Web Vitals (LCP, CLS, INP), CDN configuration, image optimization, and resource minification
- Crawl Management: Expert in robots.txt, llms.txt, XML sitemaps, canonical tags, hreflang implementation, and crawl budget optimization
- Metadata Automation: Deep understanding of automated title tags, meta descriptions, Open Graph tags, and scalable metadata management
- AI Platform Optimization: Knowledge of how AI systems crawl, interpret, and cite content including llms.txt implementation
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 · 229 lines · 36 tokens per session scan A 8cf6f19c0747
Search & AI Optimization Expert is an agent published in the GitHub repository archubbuck/workspace-architect (19 stars, last pushed yesterday), licensed ISC. It adds 36 tokens to every session and 2,863 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 Search & AI Optimization Expert, differing in 0 lines, and is treated as a copy.
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