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 agentmods add agents/t4wroot/agentic-seo/seo-schemagit clone --depth 1 https://github.com/T4wroot/agentic-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/t4wroot/agentic-seo/seo-schema)<a href="https://agentmods.dev/agents/t4wroot/agentic-seo/seo-schema"><img src="https://agentmods.dev/badge/agents/t4wroot/agentic-seo/seo-schema.svg" alt="Measured on agentmods" 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 | $0.00024 | $0.01091 |
| Opus 5 | $0.00012 | $0.00545 |
| Sonnet 5 | $0.00005 | $0.00218 |
| Haiku 4.5 | $0.00002 | $0.00109 |
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 4d 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 — 122 lines — stays where its author put it; the contents beside it link to each section on GitHub.
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
Available Scripts
| Script | Purpose | Command |
|---|---|---|
parse_html.py |
Extract JSON-LD blocks + validate types | python3 parse_html.py --url <url> --json |
validate_schema.py |
Post-edit validation (pre-commit) | python3 validate_schema.py <file> |
entity_checker.py |
Entity sameAs and KG presence | python3 entity_checker.py <url> --json |
CRITICAL RULES
Never Recommend — Deprecated Schema Types
| Type | Status | Date |
|---|---|---|
HowTo |
Rich results removed | September 2023 |
SpecialAnnouncement |
Deprecated | July 31, 2025 |
CourseInfo |
Retired | June 2025 |
EstimatedSalary |
Retired | June 2025 |
LearningVideo |
Retired | June 2025 |
ClaimReview |
Retired (fact-check discontinued) | June 2025 |
VehicleListing |
Retired | June 2025 |
Restricted Schema
| Type | Restriction |
|---|---|
FAQPage |
Government and healthcare authority sites only (Aug 2023) |
QAPage |
Sites with user-generated Q&A only |
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:
- ✅
@contextis"https://schema.org" - ✅
@typeis valid and not deprecated/retired - ✅ All required properties present for the type
- ✅ Property values match expected types (string, URL, Date)
- ✅ No placeholder text (e.g.,
[Business Name],[INSERT]) - ✅ URLs are absolute
- ✅ Dates are ISO 8601
- ✅
sameAsURLs are valid and relevant
Active Schema Types — Quick Reference
Recommended Freely
Organization,LocalBusiness,PersonArticle,BlogPosting,NewsArticleProduct,Offer,ServiceBreadcrumbList,WebSite,WebPageReview,AggregateRatingVideoObject,Event,JobPostingSoftwareApplication,Course
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.
- 4d ago First seen · 122 lines · 24 tokens per session scan A 91c8b7b3f587
seo-schema is an agent published in the GitHub repository T4wroot/agentic-seo (14 stars, last pushed yesterday), licensed MIT. It adds 24 tokens to every session and 1,091 once invoked, about $0.0001 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 2026-08-30.
Other agents, from other repositories
security-auditor
Runs security headers audit, explains each header's SEO impact, and provides exact meta tags or server config to add.
aeo-auditor
Runs AEO audit for featured snippets, voice search, and People Also Ask optimization with rich result submission guidance.
performance-auditor
Runs performance risk audit, identifies CLS/LCP issues, blocking resources, and provides specific optimization recommendations.
schema-auditor
Detects, validates, and recommends structured data based on project type. Provides schema gap analysis with Google requirements.
vertical-auditor
Runs vertical SEO audit, detects site type, and provides industry-specific schema and optimization recommendations.
citability-auditor
Runs AI citability audit, analyzes 7-dimension breakdown, and provides actionable recommendations to increase AI citation probability.