Classify HTML pages, forms, and fields from content or URLs.
npx skills add https://github.com/HappyHackingSpace/skills --skill dit
Please help me install this Agent Skill. Skill: dit Source: https://github.com/HappyHackingSpace/skills/tree/main/skills/dit Command: npx skills add https://github.com/HappyHackingSpace/skills --skill dit
Classify HTML content to automatically identify page types (login, error, captcha), detect forms (login, search, registration), and label individual fields (username, password, email) directly from HTML or URLs.
Run the classifier on an HTML page or URL to obtain page, form, and field classifications.
High-intent search queries and answers about installing and using this skill.
To classify HTML pages and detect form types from a URL, you can run a self-contained machine learning classifier that identifies page categories like login or registration and form types directly from the provided web content.
The best way to identify web form field types like username and password in HTML is using an ML-powered field classifier that labels individual input fields directly from the provided HTML content.
You do not need external machine learning dependencies to classify web content and page types, as this HTML classifier runs as a self-contained tool without requiring any external ML libraries.
You can use HTML classification for QA automation and form validation by automatically identifying page types, detecting form categories, and labeling fields to validate web content routing and form structures.
Machine learning classification can detect various HTML page types from web content, including login, registration, search, landing, blog, and error pages, along with their specific form types.
rodydavisDisplay and interact with HTML content in Flutter apps via webview.
MercurykzGenerates and executes Playwright scripts to automate browser tasks on local servers.
yasinnertenTest HTML parsing and data extraction logic against diverse HTML structures.
filipexyzManage deterministic auto-tagging engines for contact and chat classification.
