An efficient DOM monitoring system designed for real-time web content detection and intelligent AI-generated text extraction.
The fastest way to install a skill directly from the registry.
npx clawhub@latest install dom-observer-pro
Copy the skill folder to one of these locations
~/.openclaw/skills/ <project>/skills/ Priority: Workspace > Local > Bundled
Copy this prompt to OpenClaw to install it automatically.
Help me install dom-observer-pro using Clawhub. If Clawhub is not installed, install it first (npm i -g clawhub).
Get the raw skill files in a ZIP archive.
DOM Observer Pro is a high-performance monitoring utility built to track dynamic content modifications within web browsers. By integrating native APIs like MutationObserver and IntersectionObserver, this tool allows developers to build responsive systems that react to page updates in real-time. This skill is a vital component of the Openclaw Skills directory, offering a balance between granular detection accuracy and minimal CPU overhead.
Designed specifically for modern web environments, it handles the complexities of Single Page Applications (SPAs) and Shadow DOM structures. Whether you are building an AI detection extension or a content tracking bot, this skill provides the necessary hooks to intercept and process data as it appears on the user's screen.
To get started with this skill, you can install it directly via the ClawHub registry or through npm for local development projects. Integrating this into your Openclaw Skills setup ensures robust monitoring capabilities.
npm install @raghulpasupathi/dom-observer-pro
The skill manages its monitoring behavior through a structured JSON configuration. Below is a breakdown of the primary data parameters:
| Configuration Key | Purpose | Default / Example |
|---|---|---|
| observeMode | Sets the monitoring type | "mutation", "intersection" |
| targetSelectors | Elements to monitor | ["article", "p", ".post"] |
| ignoreSelectors | Elements to exclude | [".ads", "nav", "script"] |
| performance | Throttling/Debouncing settings | { "debounceDelay": 300 } |
| extraction | Data capture rules | { "minTextLength": 50 } |
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