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 Hainrixz/claude-seo-ai/plugin install claude-seo-aiWrote 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/hainrixz/claude-seo-ai/seo-schema-jsonld)<a href="https://agentmods.dev/skills/hainrixz/claude-seo-ai/seo-schema-jsonld"><img src="https://agentmods.dev/badge/skills/hainrixz/claude-seo-ai/seo-schema-jsonld/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/hainrixz/claude-seo-ai/seo-schema-jsonld"><img src="https://agentmods.dev/badge/skills/hainrixz/claude-seo-ai/seo-schema-jsonld.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 | $0.00100 | $0.01630 |
| Opus 5 | $0.00050 | $0.00815 |
| Sonnet 5 | $0.00020 | $0.00326 |
| Haiku 4.5 | $0.00010 | $0.00163 |
Grade A, and why
seo-schema-jsonld scanned grade A with 0 findings against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 4d ago.
A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.
Nothing flagged
None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.
How it starts
The opening of the file, as written. The whole thing — 52 lines — stays where its author put it; the contents beside it link to each section on GitHub.
seo-schema-jsonld (M5)
Structured data is the single highest-leverage signal for both classic rich results and AI citation. Reference: references/schema-tier1.md. Templates: schema/jsonld-templates/.
Inputs
Work from the PageSnapshot named in your dispatch envelope: read parsed from <run_dir>/pages/<slug>.json (jsonld[], microdata_items, headings[], images[]); Grep pages/<slug>.html for verbatim evidence; site artifacts live in <run_dir>/site/{robots.json,sitemaps.json,discovery.json}. Deterministic findings already emitted by audit.mjs are listed in <run_dir>/findings.deterministic.json — do not re-emit those ids; add model-judged findings only. If invoked directly with a URL/path and no snapshot exists, first run node "${CLAUDE_PLUGIN_ROOT}/scripts/snapshot.mjs" <target> --out "${CLAUDE_PLUGIN_DATA}/runs" and use the printed snapshot path.
Audits
Working from the PageSnapshot (parsed_rendered when render.used is not none, else parsed):
- Detect every
<script type="application/ld+json">block; parse JSON; note any inline microdata/RDFa (flag for migration to JSON-LD). - Validate each block: valid JSON, recognized
@type, required + recommended properties present perreferences/schema-tier1.md. - Completeness vs the page's content & vertical: e.g. an article page should have
Article/BlogPostingwithauthor(Person),datePublished,dateModified,image,publisher; a product pageProduct+Offer(price,priceCurrency,availability). - Entity hygiene: stable
@id,@graphlinkage,sameAs(defer the sameAs audit detail to M6/seo-entity-linking). - Date agreement: schema
datePublished/dateModifiedshould match visible dates (cross-check with M13). - Deprecation honesty: if
FAQPage/HowTopresent, do NOT report them as a rich-result win — label deprecated-for-SERP (still parseable by AI).
Fixes (fixable: auto)
Generate complete, valid JSON-LD blocks inferred from page content for any missing/incomplete Tier-1 type:
Article/BlogPostingfrom<article>,<h1>, byline, dates, hero image.Organization/WebSitefrom footer/contact/logo.Product+Offerfrom product DOM (name, image, price, currency, availability).BreadcrumbListfrom nav breadcrumb.Person(author) with credential fields the user supplies. Use a single@graphwith stable@ids. Inject missingdateModified/@id. The block is a diff forfix(AUTO). Never invent prices, dates, ratings, orsameAsidentity links — ask or leave a clearly-marked TODO placeholder the user fills.
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 Changed · +6 lines 861e64f96f02
- 5d ago Changed · +3 lines 78c3014b3791
- 12d ago First seen · 43 lines · 100 tokens per session scan A cd8349b9e3e8
seo-schema-jsonld is a skill published in the GitHub repository Hainrixz/claude-seo-ai (59 stars, last pushed 5d ago), licensed MIT. It adds 100 tokens to every session and 1,630 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 2026-08-30.
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Use when asked to audit a site's SEO, check AEO or answer-engine readiness, diagnose why a page is not ranking or not being cited by AI, verify structured data, or run pre-deploy discoverability checks on built HTML.
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