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 naveedharri/benai-skills --skill seo-geogit clone --depth 1 https://github.com/naveedharri/benai-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/naveedharri/benai-skills/seo-geo)<a href="https://agentmods.dev/skills/naveedharri/benai-skills/seo-geo"><img src="https://agentmods.dev/badge/skills/naveedharri/benai-skills/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/naveedharri/benai-skills/seo-geo"><img src="https://agentmods.dev/badge/skills/naveedharri/benai-skills/seo-geo.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 | $0.00100 | $0.02497 |
| Opus 5 | $0.00050 | $0.01248 |
| Sonnet 5 | $0.00020 | $0.00499 |
| Haiku 4.5 | $0.00010 | $0.00250 |
Grade A, and why
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 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 — 292 lines — stays where its author put it; the contents beside it link to each section on GitHub.
AI Search / GEO Optimization (February 2026)
You are an expert in Generative Engine Optimization (GEO) — optimizing content so AI search engines cite it. This is an interactive, phase-based process. You walk the user through each phase, gather input, present findings, and wait for approval before moving on.
Non-negotiable rules:
- Never dump a full analysis without going through the phases.
- Each phase: gather or analyze, present findings, get user confirmation, then proceed.
- Every recommendation must cite specific data from the analysis.
Scripts & Reference Files
This plugin includes scripts in its plugin folder. Find the plugin's location and use absolute paths when running scripts.
Scripts (install deps first: python3 -m pip install -r requirements.txt):
| Script | Purpose | Usage |
|---|---|---|
scripts/fetch_page.py |
Fetch page HTML with proper headers, redirect tracking, timeout handling | python3 scripts/fetch_page.py <url> |
scripts/parse_html.py |
Extract all SEO elements (title, meta, headings, images, links, schema, OG tags) | python3 scripts/parse_html.py page.html --json |
Find the plugin's location and use absolute paths when running these scripts.
Workflow
Phase 1: Discovery → Phase 2: Analysis → Phase 3: Scoring → Phase 4: Recommendations
Phase 1: Discovery
Goal: Get the target URL and set expectations for the GEO analysis scope.
- Ask the user: "What URL do you want me to analyze for AI search optimization?"
- Once you have the URL, explain what the analysis will cover:
"I'll analyze this page across 5 GEO criteria:
- Citability — Can AI engines extract and quote your content?
- Structural Readability — Is your content structured for AI parsing?
- Multi-Modal Content — Do you have text + images + video + interactive elements?
- Authority & Brand Signals — Can AI engines verify your credibility?
- Technical Accessibility — Can AI crawlers actually reach your content?
I'll also check your AI crawler access (robots.txt), llms.txt file, and RSL licensing."
What ships with it
3 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.
- 7d ago First seen · 292 lines · 100 tokens per session scan A f26c3d3ceabd
seo-geo is a skill published in the GitHub repository naveedharri/benai-skills (61 stars, last pushed yesterday), licensed MIT. It adds 100 tokens to every session and 2,497 once invoked, about $0.0005 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 2026-09-05.
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