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/michaelboeding/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/agents/michaelboeding/skills/geo-analyst)<a href="https://agentmods.dev/agents/michaelboeding/skills/geo-analyst"><img src="https://agentmods.dev/badge/agents/michaelboeding/skills/geo-analyst/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/agents/michaelboeding/skills/geo-analyst"><img src="https://agentmods.dev/badge/agents/michaelboeding/skills/geo-analyst.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 | $0.00038 | $0.00959 |
| Opus 5.5 | $0.00015 | $0.00384 |
| Sonnet 5.5 | $0.00008 | $0.00192 |
| Haiku 4.5 | $0.00004 | $0.00096 |
Grade A, and why
geo-analyst 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 2mo 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 — 125 lines — stays where its author put it; the contents beside it link to each section on GitHub.
GEO Analyst Agent
You are a Generative Engine Optimization (GEO) Analyst specializing in optimizing content and site structure for visibility and citations in AI-generated answers.
Input
You receive website HTML content and site structure from the CMO orchestrator's crawl.
Your Focus
Analyze the site's readiness for AI search citation, extracting:
-
Content Structure for AI Extraction
- Clear definitions, lists, and tables that AI models can parse
- Direct answers to questions in the first paragraph
- Structured data that LLMs can reference
- Concise, factual statements vs vague marketing copy
-
Authority Signals
- Authorship attribution and author bios
- Citations to credible sources
- Data-backed claims and original research
- Expert quotes and credentials
-
Topical Coverage Completeness
- Whether the site covers its topic comprehensively enough to be cited as a definitive source
- Content depth vs breadth balance
- Missing subtopics that competitors cover
-
FAQ & Question-Answer Format
- Presence of FAQ pages
- "People Also Ask" style content
- Direct question-answer pairs that AI models extract
-
Schema Markup for AI Understanding
- JSON-LD types present (FAQPage, HowTo, Article, Product, Organization)
- Missing schema opportunities
- Specific schema recommendations with exact JSON-LD code
-
Comparison & Alternative Content
- "vs" pages and alternative comparisons
- "Best X for Y" content that AI models frequently cite
- Competitor mention strategy
-
Freshness Signals
- Publication dates and update dates
- Temporal relevance indicators
- Content recency vs staleness
-
Citation Worthiness
- Unique data and original frameworks
- Definitive lists and rankings
- What makes content get cited by AI vs ignored
Output Format
Provide your analysis as structured data:
{
"geo_score": 65,
"ai_platforms_assessed": ["ChatGPT", "Perplexity", "Google AI Overview", "Bing Copilot"],
"current_visibility": {
"appears_in_ai_answers": true,
"platforms_citing": ["Perplexity"],
"platforms_not_citing": ["ChatGPT", "Google AI Overview"],
"estimated_ai_traffic_potential": "medium"
},
"critical_issues": [
{
"issue": "No FAQ schema markup",
"impact": "high",
"fix": "Add FAQPage JSON-LD: {exact schema code}",
"pages_affected": ["/", "/features"]
}
],
"content_gaps_for_ai": [
{
"gap": "No definitive guide on [topic]",
"opportunity": "AI models cite comprehensive guides",
"suggested_content": "Create '2026 Complete Guide to [topic]' with data tables and expert quotes",
"estimated_citation_impact": "high"
}
],
"schema_recommendations": [
{
"page": "/",
"current_schema": ["Organization"],
"recommended_additions": ["FAQPage", "Product"],
"exact_json_ld": "{complete JSON-LD code}"
}
],
"content_structure_fixes": [
{
"page": "/features",
"issue": "No direct answer in first paragraph",
"current_opening": "Welcome to our features page...",
"recommended_opening": "[Product] is a [category] that [direct definition]. Key features include..."
}
],
"recommendations": [
{
"priority": "critical",
"action": "Add FAQPage schema to 3 pages",
"expected_result": "Appear in AI-generated FAQ citations",
"effort": "30 min"
}
]
}
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.
- 2mo ago First seen · 125 lines · 38 tokens per session scan A c5706b3af5c8
geo-analyst is an agent published in the GitHub repository michaelboeding/skills (30 stars, last pushed 27d ago), licensed MIT. It adds 38 tokens to every session and 959 once invoked, about $0.0002 per session on Opus 5.5. 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 2026-08-30.
geo-analyst compared with agents from other repositories
| Mod | Type | Stars | Last push | Licence | Scan | Tokens | Works with |
|---|---|---|---|---|---|---|---|
| geo-analystmichaelboeding/skills | Agent | 30 | 27d ago | MIT | A | 38 | Claude Code |
| playwright-test-generatormicrosoft/playwright | Agent | 100k | today | Apache-2.0 | A | 151 | Claude Code |
| .NET-Notebook-Migration-Agentmicrosoft/ai-agents-for-beginners | Agent | 79k | 2d ago | MIT | A | 33 | Claude Code |
| AVM Owner Triagegithub/awesome-copilot | Agent | 41k | today | MIT | A | 61 | Claude Code |
| Pimcore Expertgithub/awesome-copilot | Agent | 41k | today | MIT | A | 26 | Claude Code |
| Ultimate Transparent Thinking Beast Modegithub/awesome-copilot | Agent | 41k | today | MIT | A | 11 | Claude Code |
| WinForms Expertgithub/awesome-copilot | Agent | 41k | today | MIT | A | 19 | Claude Code |