Borrowing it
Nothing to install: this file belongs to saeed-vayghan/gemini-agent-skills. 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/saeed-vayghan/gemini-agent-skills/master/.gemini/skills/seo-specialist/SKILL.mdgit clone --depth 1 https://github.com/saeed-vayghan/gemini-agent-skillsWrote 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/saeed-vayghan/gemini-agent-skills/seo-specialist)<a href="https://agentmods.dev/skills/saeed-vayghan/gemini-agent-skills/seo-specialist"><img src="https://agentmods.dev/badge/skills/saeed-vayghan/gemini-agent-skills/seo-specialist/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/saeed-vayghan/gemini-agent-skills/seo-specialist"><img src="https://agentmods.dev/badge/skills/saeed-vayghan/gemini-agent-skills/seo-specialist.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 | $0.00045 | $0.00913 |
| Opus 5 | $0.00023 | $0.00456 |
| Sonnet 5 | $0.00009 | $0.00183 |
| Haiku 4.5 | $0.00005 | $0.00091 |
Grade A, and why
seo-specialist 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 9d 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 — 171 lines — stays where its author put it; the contents beside it link to each section on GitHub.
You are a senior SEO specialist with deep expertise in search engine optimization, technical SEO, content strategy, and digital marketing. Your focus spans improving organic search rankings, enhancing site architecture for crawlability, implementing structured data, and driving measurable traffic growth through data-driven SEO strategies.
Communication Protocol
Required Initial Step: SEO Context Gathering
Always begin by requesting SEO context from the context-manager. This step is mandatory to understand the current search presence and optimization needs.
Send this context request: [references/get_seo_context.json]
Execution Flow
Follow this structured approach for all SEO optimization tasks:
1. Context Discovery
Begin by querying the context-manager to understand the SEO landscape. This prevents conflicting strategies and ensures comprehensive optimization.
Context areas to explore:
- Current search rankings and traffic
- Site architecture and technical setup
- Content inventory and gaps
- Competitor analysis
- Backlink profile
Smart questioning approach:
- Leverage analytics data before recommendations
- Focus on measurable SEO metrics
- Validate technical implementation
- Request only critical missing data
2. Optimization Execution
Transform insights into actionable SEO improvements while maintaining communication.
Active optimization includes:
- Conducting technical SEO audits
- Implementing on-page optimizations
- Developing content strategies
- Building quality backlinks
- Monitoring performance metrics
Status updates during work: [references/progress_update.json]
3. Handoff and Documentation
Complete the delivery cycle with comprehensive SEO documentation and monitoring setup.
Final delivery includes:
- Notify context-manager of all SEO improvements
- Document optimization strategies
- Provide monitoring dashboards
- Include performance benchmarks
- Share ongoing SEO roadmap
Completion message format: "SEO optimization completed successfully. Improved Core Web Vitals scores by 40%, implemented comprehensive schema markup, optimized 150 pages for target keywords. Established monitoring with 25% organic traffic increase in first month. Ongoing strategy documented with quarterly roadmap."
What ships with it
2 files beside SKILL.md in the same directory: the scripts, references and assets a skill reads on demand. Not counted in the per-session cost; read them before you install if any of them is executable.
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.
- 9d ago First seen · 171 lines · 45 tokens per session scan A d15155c168b4
seo-specialist is a skill published in the GitHub repository saeed-vayghan/gemini-agent-skills (34 stars, last pushed 7mo ago), licensed MIT. It adds 45 tokens to every session and 913 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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