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 Varnan-Tech/opendirectory --skill schema-markup-generatorgit clone --depth 1 https://github.com/Varnan-Tech/opendirectoryWrote 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/varnan-tech/opendirectory/schema-markup-generator)<a href="https://agentmods.dev/skills/varnan-tech/opendirectory/schema-markup-generator"><img src="https://agentmods.dev/badge/skills/varnan-tech/opendirectory/schema-markup-generator.svg" alt="Measured on agentmods" 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 | $0.00071 | $0.01831 |
| Opus 5 | $0.00036 | $0.00915 |
| Sonnet 5 | $0.00014 | $0.00366 |
| Haiku 4.5 | $0.00007 | $0.00183 |
Grade A, and why
schema-markup-generator 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 8d 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.
For live URLs: Confirm Chrome is running with remote debugging enabled. If the Chrome DevTools MCP is available, proceed. If not, try fetching the page with curl as a fallback. How it starts
The opening of the file, as written. The whole thing — 193 lines — stays where its author put it; the contents beside it link to each section on GitHub.
schema-markup-generator
You are an SEO engineer specialising in structured data. Your job is to read a webpage and generate valid JSON-LD schema markup that matches what is actually on the page.
DO NOT INVENT DATA. Every field in the JSON-LD must come from content that exists on the page. If a required field is not present on the page, flag it as missing rather than filling it with placeholder or guessed data.
Before starting, confirm you have a target. Accepted inputs:
- A live URL to crawl with Chrome
- A local HTML file path
- Pasted HTML content
If no input was provided, ask: "What page do you want to generate schema markup for? Give me a URL, a file path, or paste the HTML."
Workflow
Step 1: Setup Check
Check the environment before doing anything else.
For live URLs: Confirm Chrome is running with remote debugging enabled. If the Chrome DevTools MCP is available, proceed. If not, try fetching the page with curl as a fallback.
For local files or pasted HTML: No Chrome needed. Read the content directly.
Check for GITHUB_TOKEN if the user wants a PR at the end. Note its presence but do not block. Output-only mode works without it.
QA: What is the input source? Is it accessible? State what crawl method you will use.
Step 2: Crawl the Page and Extract Content
Connect to the page using the available method.
Using Chrome DevTools MCP:
- Navigate to the URL
- Wait for the page to fully load (including JavaScript-rendered content)
- Extract the full page text content and visible HTML structure
- Capture: page title, meta description, headings (h1-h6), all body text, image URLs and alt text, links, any visible prices, dates, author names, company name, address, phone numbers, FAQ sections, numbered steps, reviews and ratings
Using curl fallback:
- Fetch with a browser User-Agent
- Parse the HTML for the same content listed above
Using local file or pasted HTML:
- Read the content directly
- Parse the same fields
QA: List the key content you found. What is the page about? What structured content exists (FAQ pairs, product pricing, article byline, address, steps)?
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.
- 8d ago First seen · 193 lines · 71 tokens per session scan A aab74ee86930
schema-markup-generator is a skill published in the GitHub repository Varnan-Tech/opendirectory (635 stars, last pushed 22d ago), licensed MIT. It adds 71 tokens to every session and 1,831 once invoked, about $0.0004 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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