Getting it into your agent
This one installs as part of its plugin. Adding the marketplace and installing the plugin brings it with everything else the plugin ships.
/plugin marketplace add ZachArticulateV/designer-pro-and-seo/plugin install designer-pro-and-seoWrote 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/zacharticulatev/designer-pro-and-seo/seo-schema)<a href="https://agentmods.dev/skills/zacharticulatev/designer-pro-and-seo/seo-schema"><img src="https://agentmods.dev/badge/skills/zacharticulatev/designer-pro-and-seo/seo-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/zacharticulatev/designer-pro-and-seo/seo-schema"><img src="https://agentmods.dev/badge/skills/zacharticulatev/designer-pro-and-seo/seo-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 | $0.00102 | $0.00758 |
| Opus 5 | $0.00051 | $0.00379 |
| Sonnet 5 | $0.00020 | $0.00152 |
| Haiku 4.5 | $0.00010 | $0.00076 |
Grade A, and why
seo-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 11d 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 — 75 lines — stays where its author put it; the contents beside it link to each section on GitHub.
seo-schema
Family: seo Status: Stable
Purpose
Full Schema.org JSON-LD lifecycle: detect what's present, validate against required
properties, generate appropriate markup for the page type, and check @id
cross-references across pages to form a coherent schema graph (a frequently-missed
dimension). JSON-LD is the only format Google recommends.
Encodes 2026 reality: active rich-result types include Article, Product, Review/AggregateRating, Event, Organization, LocalBusiness, BreadcrumbList, VideoObject — and FAQPage rich results were deprecated on 2026-05-07 (still valid schema and useful for AI/semantic context, but no longer a Google rich result). The validator flags this so you don't promise a snippet that won't appear.
Triggers
- "schema" / "structured data" / "rich results"
- "json-ld" / "markup"
- "validate schema" / "add schema" / "schema graph"
Inputs
- Page URL or local file (detect/validate), or a page type + facts (generate)
- Mode: detect | validate | generate | graph-check
Steps
- List supported types + their required props:
python3 "${CLAUDE_PLUGIN_ROOT}/scripts/seo/schema_gen.py" --list - Detect / validate existing markup (extract
application/ld+jsonblocks from the page, then):
Reports missing required + recommended properties and any deprecation warnings.python3 "${CLAUDE_PLUGIN_ROOT}/scripts/seo/schema_gen.py" --validate markup.json - Generate the right type for the page (Article/Product/LocalBusiness/etc.):
It auto-validates the result so you only ship complete markup. Use ISO 8601 for dates.python3 "${CLAUDE_PLUGIN_ROOT}/scripts/seo/schema_gen.py" --type Article --data '{"headline":"...","author":"...","datePublished":"2026-06-01"}' - Graph-check: across multiple pages, verify
@idreferences resolve (Organization ↔ WebSite ↔ Article author, BreadcrumbList positions) so the site reads as one entity graph, not disconnected snippets. - Deliver ready-to-drop JSON-LD
<script type="application/ld+json">blocks and a validation summary.
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.
- 11d ago First seen · 75 lines · 102 tokens per session scan A 0a8c173b2040
seo-schema is a skill published in the GitHub repository ZachArticulateV/designer-pro-and-seo (8 stars, last pushed 2mo ago), licensed MIT. It adds 102 tokens to every session and 758 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 2026-08-31.
Other skills, from other repositories
designlang-tokens
Use when styling UI for cal.com — references the extracted design system tokens instead of inventing colors, spacing, or typography.
token-audit
Audit a design system's token definitions for naming violations, missing semantic tiers, and structural debt. This audits how tokens are defined and organised, NOT how they are consumed in code. Trigger when someone says: audit my tokens, token naming review, are my tokens consistent, token health check, review my…
stakeholder-brief
Write a one-page stakeholder brief translating design system health or status into business language. Trigger when someone says: stakeholder update, exec brief, leadership summary, status report for leadership, system status for non-designers, write a brief for the business, or anything about communicating design…
figma-variable-audit
Audit Figma variable collections against token architecture best practices. Trigger when someone says: audit my Figma variables, check my Figma tokens, are my variables structured correctly, Figma variable health, review my variable collections, variable naming check, or anything about auditing the quality or…
governance-encoder
Convert governance policies into machine-executable JSON constraint files that AI agents and CI pipelines validate against automatically. This produces rule engine files in .ai/governance/, NOT narrative decision records or documentation. Trigger when someone says: encode governance rules, governance as code, automate…
system-benchmark
Benchmark a design system against industry standards and comparable public systems, producing a qualitative comparison across dimensions with specific, named reference points. Goes beyond an internal health assessment to answer 'how does our system compare to what good looks like out there?' Trigger when someone says…