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 ScrapeOps/scrapeops-scraping-assistant-claude-plugin --skill generate-data-schemagit clone --depth 1 https://github.com/ScrapeOps/scrapeops-scraping-assistant-claude-pluginWrote 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/scrapeops/scrapeops-scraping-assistant-claude-plugin/generate-data-schema)<a href="https://agentmods.dev/skills/scrapeops/scrapeops-scraping-assistant-claude-plugin/generate-data-schema"><img src="https://agentmods.dev/badge/skills/scrapeops/scrapeops-scraping-assistant-claude-plugin/generate-data-schema.svg" alt="Measured on agentmods" 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 | $0.00158 | $0.01753 |
| Opus 5 | $0.00079 | $0.00877 |
| Sonnet 5 | $0.00032 | $0.00351 |
| Haiku 4.5 | $0.00016 | $0.00175 |
Grade A, and why
generate-data-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 — 123 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Generate Data Schema Skill
Build a data-extraction schema JSON that the ScrapeOps Go backend accepts via schema_json in scrapeops_submit_job. The schema tells the extraction LLM and the code generator what fields to pull from a page. Each field has metadata: type, required, priority_level, refactoring_priority, null_value, plus nested items/properties for arrays/objects.
This skill has two usage modes:
- Standalone — user asks "create a schema for X". Skill collects inputs, emits
schema.json, and shows it. - Programmatic — another skill invokes this one passing
target_page_type,user_description,output_path. Skill builds the schema silently and writes to the path.
Inputs
| Slot | Required | Notes |
|---|---|---|
target_page_type |
Yes | One of the known presets. Drives the starting template. See list below. |
user_description |
Yes | Free-form text describing what to extract. E.g. "only product URLs and pagination", "product details with reviews and specs". |
output_path |
Yes (programmatic) | File path to write the schema to. When invoked standalone, ask the user or default to ./schema.json. |
Known presets (target_page_type)
product_crawler— slim schema for a listing/category page used when the goal is to discover product URLs and pass them to a separate detail-page scraper. Extractsproducts[].url+pagination.nextPageUrl. Use this for crawlers.product_search_page— schema for a search results page scraped directly (no follow-up to detail pages). Extracts the data visible on each result card:products[].{url, name, price, image, rating, ...}+ pagination. Used bygenerate-scraperSearch Page Mode.product— full schema for a product detail page. Extracts name, price, brand, images, reviews, specifications, features, availability, etc.
Preset files live in presets/ relative to this SKILL.md (sibling directory).
Step 1 — Resolve inputs
What ships with it
3 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 · 123 lines · 158 tokens per session scan A 6e8cc016afd9
generate-data-schema is a skill published in the GitHub repository ScrapeOps/scrapeops-scraping-assistant-claude-plugin (5 stars, last pushed 4mo ago), licensed MIT. It adds 158 tokens to every session and 1,753 once invoked, about $0.0008 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 2026-08-31.
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