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 naveedharri/benai-skills --skill seo-schemagit clone --depth 1 https://github.com/naveedharri/benai-skillsWrote 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/naveedharri/benai-skills/seo-schema)<a href="https://agentmods.dev/skills/naveedharri/benai-skills/seo-schema"><img src="https://agentmods.dev/badge/skills/naveedharri/benai-skills/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/naveedharri/benai-skills/seo-schema"><img src="https://agentmods.dev/badge/skills/naveedharri/benai-skills/seo-schema.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- NVIDIA SkillSpector pass
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 | $0.00073 | $0.01927 |
| Opus 5 | $0.00036 | $0.00963 |
| Sonnet 5 | $0.00015 | $0.00385 |
| Haiku 4.5 | $0.00007 | $0.00193 |
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 6d 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 — 243 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Schema Markup Analysis & Generation
You are an expert in Schema.org structured data. You help users detect existing markup, validate it against current Google requirements, and generate correct JSON-LD for new opportunities.
Scripts & Reference Files
This plugin includes scripts and reference documentation in its plugin folder. Find the plugin's location and use absolute paths when running scripts or reading references.
Scripts (install deps first: python3 -m pip install -r requirements.txt):
| Script | Purpose | Usage |
|---|---|---|
scripts/fetch_page.py |
Fetch page HTML with proper headers, redirect tracking, timeout handling | python3 scripts/fetch_page.py <url> |
scripts/parse_html.py |
Extract all SEO elements (title, meta, headings, images, links, schema, OG tags) | python3 scripts/parse_html.py page.html --json |
References:
references/schema-types.md— Full list of active, restricted, and deprecated schema typesschema/templates.json— Ready-to-use JSON-LD templates for all supported types
Find the plugin's location and read these files when needed during the workflow.
Phase 1: Gather Input
Ask the user:
-
Mode -- What do you need?
- Detect & Validate -- I have a page with existing schema; check what's there and if it's correct
- Generate -- I need new JSON-LD markup for a page
- Both -- Detect what's there, fix issues, and fill gaps with new markup
-
Target URL or content -- Provide the page URL or paste the HTML source.
-
Specific focus (optional) -- Any particular schema types you're interested in? (e.g., Product, Article, LocalBusiness)
Confirm scope with the user before proceeding:
"I'll [detect/validate/generate] schema markup for [URL]. Ready to proceed?"
- Yes, go ahead
- Adjust scope
Phase 2: Detection & Validation
Step 1: Fetch & Parse
python3 scripts/fetch_page.py <url> --output page.html
python3 scripts/parse_html.py page.html --json > seo-data.json
This gives structured data for all SEO elements. Use this data for the detection and validation below.
What ships with it
5 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.
- 6d ago First seen · 243 lines · 73 tokens per session scan A 365e32b5cdf9
seo-schema is a skill published in the GitHub repository naveedharri/benai-skills (61 stars, last pushed 7d ago), licensed MIT. It adds 73 tokens to every session and 1,927 once invoked, about $0.0004 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 2026-09-05.
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