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/figueroaignacio/ignaciofigueroa.devWrote 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/plugins/figueroaignacio/ignaciofigueroa.dev/seo-geo)<a href="https://agentmods.dev/plugins/figueroaignacio/ignaciofigueroa.dev/seo-geo"><img src="https://agentmods.dev/badge/plugins/figueroaignacio/ignaciofigueroa.dev/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/plugins/figueroaignacio/ignaciofigueroa.dev/seo-geo"><img src="https://agentmods.dev/badge/plugins/figueroaignacio/ignaciofigueroa.dev/seo-geo.svg" alt="Reviewed on agentmods" width="80" height="20"></a>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 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.
Copies of this mod
1 near-identical copy found in the catalogue:
- seo-geo — 100% identical, 9 lines differ
What it actually says
{
"name": "seo-geo",
"version": "1.0.0",
"description": "SEO & GEO (Generative Engine Optimization) for websites. Optimize for AI search engines (ChatGPT, Perplexity, Gemini, Copilot, Claude) and traditional search (Google, Bing). Includes Princeton GEO research methods for +40% AI visibility.",
"author": {
"name": "ReScienceLab"
},
"homepage": "https://github.com/ReScienceLab/opc-skills/tree/main/skills/seo-geo",
"repository": "https://github.com/ReScienceLab/opc-skills",
"license": "MIT",
"keywords": [
"SEO",
"GEO",
"search optimization",
"schema markup",
"JSON-LD",
"meta tags",
"keyword research",
"AI visibility",
"ChatGPT ranking",
"Perplexity"
],
"skills": ["./SKILL.md"],
"commands": ["./scripts/"]
}
What it installs
The manifest is a name and a version. 1 skill travel with it, and installing the plugin installs all of them — 90 tokens a session between them. Each is measured on its own page, and each can be installed alone.
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 · 26 lines scan A abcf869165ed
seo-geo is a plugin published in the GitHub repository figueroaignacio/ignaciofigueroa.dev (6 stars, last pushed 4d ago), licensed MIT. Its token cost is not measured: this kind of file is read by the harness, not the model. 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.
Other plugins, from other repositories
tanstack-router
TanStack Router and TanStack Start full-stack development with 3 agents and 12 skills for React applications.
nextjs
Next.js standards with 4 agents, 4 auto-enforcing skills including Vercel React Best Practices, and visual QA.
react-review
Four-axis branch review for React and Next.js codebases: architecture, performance, accessibility, and UI/UX. Includes Web Interface Guidelines and React performance skills. Review-only — does not modify code.
aio-xstate
Build XState v5 state machines the right way — design-first planning, params-first typing, and canonical actor patterns for TypeScript and React, with anti-god-machine enforcement.
aio-visual-diff
Verify AI-built UI against design via measurement-driven diff — extracts computed CSS and bounding boxes through Chrome DevTools MCP, diffs against Figma reference or a frozen baseline, and feeds numerical deltas back to the agent. No screenshot eyeballing.
shadcn
UI component and design system framework. Search registries, install components as source code, and audit your project.