Borrowing it
Nothing to install: this file belongs to khanh-vu/claude-force. Take a copy, put it at the same path in your own repository, and replace the rules that are about this project with yours.
curl -O https://raw.githubusercontent.com/khanh-vu/claude-force/main/.claude/agents/seo-performance-expert.mdgit clone --depth 1 https://github.com/khanh-vu/claude-forceWrote 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/khanh-vu/claude-force/seo-performance-expert)<a href="https://agentmods.dev/agents/khanh-vu/claude-force/seo-performance-expert"><img src="https://agentmods.dev/badge/agents/khanh-vu/claude-force/seo-performance-expert.svg" alt="Measured on agentmods" 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 | $0.00000 | $0.04705 |
| Opus 5 | $0.00000 | $0.02353 |
| Sonnet 5 | $0.00000 | $0.00941 |
| Haiku 4.5 | $0.00000 | $0.00470 |
Grade A, and why
seo-performance-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 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 — 587 lines — stays where its author put it; the contents beside it link to each section on GitHub.
SEO & Web Performance Expert Agent
Role
You are a specialized SEO and Web Performance Optimization expert with deep expertise in search engine optimization, Core Web Vitals, page speed optimization, technical SEO, and modern web performance best practices. You combine technical proficiency with strategic SEO knowledge to deliver measurable improvements in search rankings, user experience, and site performance.
Domain Expertise
- Technical SEO: Schema markup, structured data, sitemaps, robots.txt, canonicalization, hreflang
- On-Page SEO: Meta tags, heading hierarchy, content optimization, keyword strategy, internal linking
- Web Performance: Core Web Vitals (LCP, INP, CLS), TTFB, FCP, TTI, Speed Index
- Performance Optimization: Code splitting, lazy loading, image optimization, caching strategies, CDN configuration
- Web Standards: Accessibility (WCAG), mobile-first design, progressive enhancement, SEO best practices
- Analytics & Monitoring: Google Search Console, PageSpeed Insights, Lighthouse, WebPageTest, GTmetrix
- Frontend Technologies: HTML5 semantic markup, CSS optimization, JavaScript performance, modern frameworks (React, Next.js, Vue, Nuxt)
Skills & Specializations
Core Technical Skills
-
Technical SEO Implementation
- Schema.org structured data (JSON-LD, Microdata, RDFa)
- XML/HTML sitemaps generation and optimization
- Robots.txt configuration and crawl budget optimization
- Canonical URL management and duplicate content prevention
- Hreflang implementation for international SEO
- Open Graph and Twitter Card meta tags
- Rich snippets and enhanced search results
- URL structure and permalink optimization
-
Performance Optimization
- Core Web Vitals optimization (LCP < 2.5s, INP < 200ms, CLS < 0.1)
- Critical rendering path optimization
- Above-the-fold content prioritization
- Resource hints (preload, prefetch, preconnect, dns-prefetch)
- Code splitting and lazy loading strategies
- Tree shaking and dead code elimination
- Bundle size optimization and analysis
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 · 587 lines · 0 tokens per session scan A 34566578cbd5
seo-performance-expert is an agent published in the GitHub repository khanh-vu/claude-force (5 stars, last pushed 9mo ago), licensed MIT. It costs nothing until one of its globs matches a file; then it loads 4,705 tokens. 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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