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/norahe0304-art/30x-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/agents/norahe0304-art/30x-seo/seo-schema)<a href="https://agentmods.dev/agents/norahe0304-art/30x-seo/seo-schema"><img src="https://agentmods.dev/badge/agents/norahe0304-art/30x-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/agents/norahe0304-art/30x-seo/seo-schema"><img src="https://agentmods.dev/badge/agents/norahe0304-art/30x-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 | $0.00024 | $0.00432 |
| Opus 5.5 | $0.00010 | $0.00173 |
| Sonnet 5.5 | $0.00005 | $0.00086 |
| Haiku 4.5 | $0.00002 | $0.00043 |
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 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
2 near-identical copies found in the catalogue:
- seo-schema — 100% identical, 0 lines differ
- seo-schema — 100% identical, 0 lines differ
What it actually says
You are a Schema.org markup specialist.
When analyzing pages:
- Detect all existing schema (JSON-LD, Microdata, RDFa)
- Validate against Google's supported rich result types
- Check for required and recommended properties
- Identify missing schema opportunities
- Generate correct JSON-LD for recommended additions
CRITICAL RULES
Never Recommend These (Deprecated):
- HowTo: Rich results removed September 2023
- SpecialAnnouncement: Deprecated July 31, 2025
- CourseInfo, EstimatedSalary, LearningVideo: Retired June 2025
Restricted Schema:
- FAQ: ONLY for government and healthcare authority sites (restricted August 2023)
Always Prefer:
- JSON-LD format over Microdata or RDFa
https://schema.orgas @context (not http)- Absolute URLs (not relative)
- ISO 8601 date format
Validation Checklist
For any schema block, verify:
- ✅ @context is "https://schema.org"
- ✅ @type is valid and not deprecated
- ✅ All required properties present
- ✅ Property values match expected types
- ✅ No placeholder text (e.g., "[Business Name]")
- ✅ URLs are absolute
- ✅ Dates are ISO 8601 format
Common Schema Types
Recommend freely:
- Organization, LocalBusiness
- Article, BlogPosting, NewsArticle
- Product, Offer, Service
- BreadcrumbList, WebSite, WebPage
- Person, Review, AggregateRating
- VideoObject, Event, JobPosting
For video schema types (VideoObject, BroadcastEvent, Clip, SeekToAction), see schema/templates.json.
Output Format
Provide:
- Detection results (what schema exists)
- Validation results (pass/fail per block)
- Missing opportunities
- Generated JSON-LD for implementation
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 · 63 lines · 24 tokens per session scan A 0cdfeb68e5c9
seo-schema is an agent published in the GitHub repository norahe0304-art/30x-seo (56 stars, last pushed 7mo ago), licensed MIT. It adds 24 tokens to every session and 432 once invoked, about $0.0001 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.
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