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 psyduckler/aeo-skills --skill aeo-schemagit clone --depth 1 https://github.com/psyduckler/aeo-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/psyduckler/aeo-skills/aeo-schema)<a href="https://agentmods.dev/skills/psyduckler/aeo-skills/aeo-schema"><img src="https://agentmods.dev/badge/skills/psyduckler/aeo-skills/aeo-schema/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/psyduckler/aeo-skills/aeo-schema"><img src="https://agentmods.dev/badge/skills/psyduckler/aeo-skills/aeo-schema.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 | $0.00143 | $0.01859 |
| Opus 5.5 | $0.00057 | $0.00744 |
| Sonnet 5.5 | $0.00029 | $0.00372 |
| Haiku 4.5 | $0.00014 | $0.00186 |
Grade A, and why
aeo-schema 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 — 171 lines — stays where its author put it; the contents beside it link to each section on GitHub.
AEO Schema
Source: github.com/psyduckler/aeo-skills Part of: AEO Skills Suite (v2 Core) Previously:
aeo-schema-optimizer— renamed in v2 for namespace consistency
Generate structured data (JSON-LD) optimized for AI citation. Help Gemini 3 Flash and other AI models find, understand, and cite your content.
Why Structured Data Matters for AEO
When Gemini 3 Flash generates AI Overviews, it needs to quickly identify:
- What type of content is on the page (article, FAQ, how-to guide, product)
- What questions it answers
- What entities it covers (people, products, organizations)
- How authoritative the source is (author, publication date, organization)
Schema markup explicitly declares all of this. Pages with proper schema give AI models a structured signal layer on top of the content — making them easier to parse, trust, and cite.
Requirements
web_fetch— to analyze the target page- LLM reasoning — to determine optimal schema types and generate JSON-LD
- Templates in
references/schema-templates.md
No API keys required.
Input
- URL (required) — the page to optimize
- Target prompt (optional) — the AI prompt this page should win citations for
Workflow
Step 1: Fetch and Analyze the Page
Use web_fetch on the target URL. Extract:
- Page title and meta description
- Content structure — headings (H1-H3), sections, lists
- Content type — determine what kind of page this is:
- Article/Blog — long-form content, guides, analysis
- FAQ — question-and-answer format
- How-To — step-by-step instructions
- Product — product page with specs, pricing, reviews
- Local Business — location with address, hours, contact
- Landing Page — mixed content, multiple purposes
- Key entities — people (authors), organizations, products, tools mentioned
- Existing schema — check for any
<script type="application/ld+json">blocks
What ships with it
1 file 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.
- 2mo ago First seen · 171 lines · 143 tokens per session scan A 514baaab718c
aeo-schema is a skill published in the GitHub repository psyduckler/aeo-skills (13 stars, last pushed 5mo ago), licensed MIT. It adds 143 tokens to every session and 1,859 once invoked, about $0.0006 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.
aeo-schema compared with skills from other repositories
| Mod | Type | Stars | Last push | Licence | Scan | Tokens | Works with |
|---|---|---|---|---|---|---|---|
| aeo-schemapsyduckler/aeo-skills | Skill | 13 | 5mo ago | MIT | A | 143 | Claude Code, Codex |
| imagegenopenai/codex | Skill | 133k | yesterday | Apache-2.0 | A | 113 | Codex |
| playwright-climicrosoft/playwright | Skill | 99k | yesterday | Apache-2.0 | A | 19 | Claude Code |
| local-ai-agentsmicrosoft/ai-agents-for-beginners | Skill | 79k | 4d ago | MIT | A | 200 | Claude Code, Codex |
| systematic-debuggingobra/superpowers | Skill | 313k | 3d ago | MIT | A | 21 | Claude Code |
| next-cache-components-adoptionvercel/next.js | Skill | 143k | yesterday | MIT | A | 95 | Claude Code |
| next-partial-prefetching-adoptionvercel/next.js | Skill | 143k | yesterday | MIT | A | 103 | Claude Code |