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 multiplex-ai/muggle-ai-teams --skill geo-maingit clone --depth 1 https://github.com/multiplex-ai/muggle-ai-teamsWrote 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/multiplex-ai/muggle-ai-teams/geo-main)<a href="https://agentmods.dev/skills/multiplex-ai/muggle-ai-teams/geo-main"><img src="https://agentmods.dev/badge/skills/multiplex-ai/muggle-ai-teams/geo-main/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/multiplex-ai/muggle-ai-teams/geo-main"><img src="https://agentmods.dev/badge/skills/multiplex-ai/muggle-ai-teams/geo-main.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 | $0.00139 | $0.02624 |
| Opus 5.5 | $0.00056 | $0.01050 |
| Sonnet 5.5 | $0.00028 | $0.00525 |
| Haiku 4.5 | $0.00014 | $0.00262 |
Grade A, and why
geo scanned grade A with 1 finding 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 5d 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.
Makes network callslowCapability
Not a fault in itself. Listed so you know the mod talks to something, and to what.
1. Fetch homepage HTML (curl or WebFetch) This is a copy
86% identical to geo — 54 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 — 232 lines — stays where its author put it; the contents beside it link to each section on GitHub.
GEO-SEO Analysis Tool — Claude Code Skill (February 2026)
Philosophy: GEO-first, SEO-supported. AI search is eating traditional search. This tool optimizes for where traffic is going, not where it was.
Quick Reference
| Command | What It Does |
|---|---|
/geo audit <url> |
Full GEO + SEO audit with parallel subagents |
/geo page <url> |
Deep single-page GEO analysis |
/geo citability <url> |
Score content for AI citation readiness |
/geo crawlers <url> |
Check AI crawler access (robots.txt analysis) |
/geo llmstxt <url> |
Analyze or generate llms.txt file |
/geo brands <url> |
Scan brand mentions across AI-cited platforms |
/geo platforms <url> |
Platform-specific optimization (ChatGPT, Perplexity, Google AIO) |
/geo schema <url> |
Detect, validate, and generate structured data |
/geo technical <url> |
Traditional technical SEO audit |
/geo content <url> |
Content quality and E-E-A-T assessment |
/geo report <url> |
Generate client-ready GEO deliverable |
/geo report-pdf <url> |
Generate professional PDF report with charts and scores |
/geo quick <url> |
60-second GEO visibility snapshot |
/geo prospect <cmd> |
CRM-lite: manage prospects through the sales pipeline |
/geo proposal <domain> |
Auto-generate client proposal from audit data |
/geo compare <domain> |
Monthly delta report: show score improvements to client |
Market Context (Why GEO Matters)
| Metric | Value | Source |
|---|---|---|
| GEO services market (2025) | $850M-$886M | Yahoo Finance / Superlines |
| Projected GEO market (2031) | $7.3B (34% CAGR) | Industry analysts |
| AI-referred sessions growth | +527% (Jan-May 2025) | SparkToro |
| AI traffic conversion vs organic | 4.4x higher | Industry data |
| Google AI Overviews reach | 1.5B users/month, 200+ countries | |
| ChatGPT weekly active users | 900M+ | OpenAI |
| Perplexity monthly queries | 500M+ | Perplexity |
| Gartner: search traffic drop by 2028 | -50% | Gartner |
| Marketers investing in GEO | Only 23% | Industry surveys |
| Brand mentions vs backlinks for AI | 3x stronger correlation | Ahrefs (Dec 2025) |
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.
- 5d ago First seen · 232 lines · 139 tokens per session scan A d60295dba3b4
geo is a skill published in the GitHub repository multiplex-ai/muggle-ai-teams (2 stars, last pushed 2d ago), licensed MIT. It adds 139 tokens to every session and 2,624 once invoked, about $0.0006 per session on Opus 5.5. A static security scan graded it A with 1 finding (makes network calls). It is 86% identical to geo, differing in 54 lines, and is treated as a copy.
Other skills, from other repositories
codex-handoff
Three-phase delivery workflow — Claude plans and writes a spec, a Claude subagent implements in the host working tree, a fresh Codex session adversarially reviews the diff (via the codex-plugin-cc plugin). Implementation and review are never the same model. Use for any change touching more than one file or real…
discuss
Decision-lock workflow for complex features. Asks targeted domain-specific questions, locks scope, and writes a CONTEXT.md that downstream skills consume. Auto-invoked when a feature touches 3+ files across 2+ concerns, or manually via /discuss.
skill-name
One-line description of what this skill does and when it triggers.
codex-handoff
Three-phase delivery workflow — Claude plans and writes a spec, a Claude subagent implements in the host working tree, a fresh Codex session adversarially reviews the diff (via the codex-plugin-cc plugin). Implementation and review are never the same model. Use for any change touching more than one file or real…
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systematic-debugging
Use when encountering any bug, test failure, or unexpected behavior, before proposing fixes.