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 Thibaultbm/claude-seo-geo --skill seo-schema-markupgit clone --depth 1 https://github.com/Thibaultbm/claude-seo-geoWrote 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/thibaultbm/claude-seo-geo/seo-schema-markup)<a href="https://agentmods.dev/skills/thibaultbm/claude-seo-geo/seo-schema-markup"><img src="https://agentmods.dev/badge/skills/thibaultbm/claude-seo-geo/seo-schema-markup/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/thibaultbm/claude-seo-geo/seo-schema-markup"><img src="https://agentmods.dev/badge/skills/thibaultbm/claude-seo-geo/seo-schema-markup.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 | $0.00135 | $0.05457 |
| Opus 5 | $0.00068 | $0.02729 |
| Sonnet 5 | $0.00027 | $0.01091 |
| Haiku 4.5 | $0.00014 | $0.00546 |
Grade A, and why
seo-schema-markup scanned grade A with 1 finding 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 12d 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.
Makes network callslowCapability
Not a fault in itself. Listed so you know the mod talks to something, and to what.
curl -sL https://example.com/page/ | grep -c 'application/ld+json' How it starts
The opening of the file, as written. The whole thing — 291 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Schema markup that still pays in 2026
Structured data is the most machine-readable layer of a page: prices, ratings, dates, authors, and entity relationships declared in a format engines parse without guessing. Google reads it for rich results and Merchant listings; LLM grounding pipelines read it as a fact source. Between 2023 and 2026 Google removed several rich result types, so effort that used to pay (FAQ, HowTo) now buys nothing in the SERP. This skill implements what still earns surfaces, skips what is dead, and keeps every claim inside Google's guidelines.
One principle governs everything: markup describes the visible page. It never adds facts the user cannot see.
Company knowledge first (Obsidian)
If the working environment contains an Obsidian vault or any local knowledge base (a folder of .md notes, often with a .obsidian directory), read the relevant notes before acting: brand and product facts, target keywords, competitors, and the SEO action log of what was already tried. Ground every recommendation in that context instead of asking the user for facts the vault already holds. At the end of the session, append the actions taken to the vault's SEO action log so the next session starts informed. Vault structure, read-first and write-back protocols: the obsidian-brain skill.
When to use this skill
Use it for:
- Implementing JSON-LD on any page type (home, blog post, product, location, author, video, event)
- Auditing existing markup for validity, eligibility, and honesty
- Rich result work: review stars, prices, availability, breadcrumbs, video
- Entity work: Organization, sameAs, author Person graphs for E-E-A-T
- Deciding which schema types deserve effort in 2026 (status table below)
- Debugging Rich Results Test errors or rich results that disappeared
When schema is NOT the answer:
- "Our FAQ dropdowns vanished from Google": that is Google removing the feature (May 2026), not a markup bug. Check the status table before debugging.
- "Make us rank higher with schema": structured data disambiguates and unlocks result features; it is not a ranking lever on its own. Set that expectation early.
- "The page is not indexed at all": fix crawl and indexation first with the seo-technical skill; schema on an unindexed page is decoration.
What ships with it
2 files 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.
- 12d ago First seen · 291 lines · 135 tokens per session scan A edd30bb461dd
seo-schema-markup is a skill published in the GitHub repository Thibaultbm/claude-seo-geo (16 stars, last pushed yesterday), licensed MIT. It adds 135 tokens to every session and 5,457 once invoked, about $0.0007 per session on Opus 5. A static security scan graded it A with 1 finding (makes network calls). No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-30.
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