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 amirjahfar1/automate-seo-with-claude --skill seo-schemagit clone --depth 1 https://github.com/amirjahfar1/automate-seo-with-claudeWrote 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/amirjahfar1/automate-seo-with-claude/seo-schema)<a href="https://agentmods.dev/skills/amirjahfar1/automate-seo-with-claude/seo-schema"><img src="https://agentmods.dev/badge/skills/amirjahfar1/automate-seo-with-claude/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/amirjahfar1/automate-seo-with-claude/seo-schema"><img src="https://agentmods.dev/badge/skills/amirjahfar1/automate-seo-with-claude/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 | $0.00093 | $0.02344 |
| Opus 5 | $0.00046 | $0.01172 |
| Sonnet 5 | $0.00019 | $0.00469 |
| Haiku 4.5 | $0.00009 | $0.00234 |
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 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.
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.
This is a copy
89% identical to seo-schema — 8 lines differ, which has more behind it and is treated as the original. This page carries a canonical link to it rather than competing with it.
How it starts
The opening of the file, as written. The whole thing — 140 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Example output: examples/seo-schema-budgetbytes-slow-cooker-chicken-noodle-soup-20260514/SCHEMA.md
Schema Markup
Detect, validate, and generate Schema.org JSON-LD for a page. Output is paste-ready <script> blocks the user can drop into their CMS or page template, plus a validation report on what's currently present and what's broken.
Prerequisites
- Required for detect/validate paths:
mcp__firecrawl-mcp__firecrawl_scrape(raw HTML access). WebFetch returns markdown only — every<script type="application/ld+json">block is stripped before the skill ever sees it. Without Firecrawl, the skill can still generate new schema from intent detection (steps 4–6) but cannot detect or validate what's already on the page (steps 2–3, 7). - Optional: DataForSEO MCP server (used in step 7 for benchmarking competitor schema).
- User provides: a target URL. Optionally a hint about page intent ("this is a product page", "this is a how-to") if the URL pattern doesn't make it obvious.
Process
- Fetch HTML
mcp__firecrawl-mcp__firecrawl_scrape(preferred) or degrade- Cost note. Firecrawl: 1 credit for the target URL, +10 credits if step 7 (competitor benchmark) runs (1 per top-10 SERP result). User may pass
--no-firecrawlto force the degraded path (generate-only mode) for credit conservation. - If Firecrawl available: scrape the target URL. For SPAs, pass
waitFor: 2000(or a CSS selector for the main content) so the JS-rendered DOM is captured. Use the response'shtmlfor JSON-LD parsing in step 2 andmetadatafor canonical/robots cross-reference. - If Firecrawl unavailable: skip steps 2, 3, and 7 entirely (they all need raw HTML). Steps 4–6 still run — the skill becomes "generate-only", producing recommended JSON-LD blocks from intent detection without comparing to what's on the page. Surface clearly in
SCHEMA.md:Existing-schema detection: skipped — Firecrawl required (WebFetch returns markdown only). Install via extensions/firecrawl/install.sh. - Even with Firecrawl: if JSON-LD blocks appear only after JS render, flag in the output: "JS-rendered schema may not be detected by all crawlers — server-side render JSON-LD where possible."
- Cost note. Firecrawl: 1 credit for the target URL, +10 credits if step 7 (competitor benchmark) runs (1 per top-10 SERP result). User may pass
What ships with it
6 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 · 140 lines · 93 tokens per session scan A 822d77e30d86
seo-schema is a skill published in the GitHub repository amirjahfar1/automate-seo-with-claude (2 stars, last pushed 3mo ago), licensed MIT. It adds 93 tokens to every session and 2,344 once invoked, about $0.0005 per session on Opus 5. A static security scan graded it A with 0 findings. It is 89% identical to seo-schema, differing in 8 lines, and is treated as a copy.
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