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Dom Observer Pro

Real-time DOM monitoring tool using MutationObserver and IntersectionObserver to detect and extract dynamic web content efficiently with minimal performance...

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High Signal

Real-time DOM monitoring tool using MutationObserver and IntersectionObserver to detect and extract dynamic web content efficiently with minimal performance...

โฌ‡ 0 downloads โ˜… 0 stars Unverified but indexed

Install for OpenClaw

Quick setup
  1. Download the package from Yavira.
  2. Extract the archive and review SKILL.md first.
  3. Import or place the package into your OpenClaw setup.

Requirements

Target platform
OpenClaw
Install method
Manual import
Extraction
Extract archive
Prerequisites
OpenClaw
Primary doc
SKILL.md

Package facts

Download mode
Yavira redirect
Package format
ZIP package
Source platform
Tencent SkillHub
What's included
SKILL.md

Validation

  • Use the Yavira download entry.
  • Review SKILL.md after the package is downloaded.
  • Confirm the extracted package contains the expected setup assets.

Install with your agent

Agent handoff

Hand the extracted package to your coding agent with a concrete install brief instead of figuring it out manually.

  1. Download the package from Yavira.
  2. Extract it into a folder your agent can access.
  3. Paste one of the prompts below and point your agent at the extracted folder.
New install

I downloaded a skill package from Yavira. Read SKILL.md from the extracted folder and install it by following the included instructions. Tell me what you changed and call out any manual steps you could not complete.

Upgrade existing

I downloaded an updated skill package from Yavira. Read SKILL.md from the extracted folder, compare it with my current installation, and upgrade it while preserving any custom configuration unless the package docs explicitly say otherwise. Summarize what changed and any follow-up checks I should run.

Trust & source

Release facts

Source
Tencent SkillHub
Verification
Indexed source record
Version
1.0.0

Documentation

ClawHub primary doc Primary doc: SKILL.md 11 sections Open source page

Metadata

ID: dom-observer-pro Version: 1.0.0 Category: utility Priority: Medium Installation: ClawHub Package: @raghulpasupathi/dom-observer-pro

Description

Efficient DOM monitoring system for real-time content detection in web browsers. Uses MutationObserver, IntersectionObserver, and intelligent debouncing to detect AI-generated content as it appears on web pages with minimal performance impact.

Via ClawHub

https://clawhub.ai/raghulpasupathi/dom-observer-pro

Via npm

npm install @raghulpasupathi/dom-observer-pro

Features

Real-time Monitoring: Detect content changes instantly Mutation Observation: Track DOM modifications efficiently Intersection Detection: Monitor when elements enter viewport Intelligent Debouncing: Prevent performance degradation from rapid changes Selector Targeting: Watch specific elements or patterns Content Extraction: Automatically extract text/images from new elements Shadow DOM Support: Monitor elements within shadow roots Performance Optimized: Batched processing and throttling Browser Extension Ready: Designed for extension environments Configurable Filters: Ignore irrelevant changes

Configuration

{ "enabled": true, "settings": { "observeMode": "mutation", "targetSelectors": [ "article", "p", "div.content", "span.text", ".comment", ".post" ], "ignoreSelectors": [ "script", "style", "noscript", ".ads", ".navigation" ], "mutation": { "enabled": true, "childList": true, "subtree": true, "characterData": true }, "intersection": { "enabled": true, "threshold": 0.5, "rootMargin": "50px" }, "performance": { "debounceDelay": 300, "throttleDelay": 100, "batchSize": 10, "maxQueueSize": 100 }, "extraction": { "minTextLength": 50, "maxTextLength": 10000, "extractImages": true, "extractLinks": true } } }

API Examples

See dom-observer-pro-examples.js for complete usage examples.

Dependencies

mutation-observer: Built-in browser API intersection-observer: Built-in browser API debounce: ^2.0.0 lodash.throttle: ^4.1.1

Performance

CPU Usage: <1% idle, 2-5% during active monitoring Memory: 10-20MB for typical web pages Latency: <10ms detection, 100-500ms with debouncing Throughput: Handles 1000+ DOM changes/second Browser Compatibility: Chrome 51+, Firefox 14+, Safari 10+

Use Cases

Browser extensions for AI detection Social media content monitoring News site article tracking Chat application message detection Dynamic content tracking Content moderation systems Data collection from SPAs User behavior tracking

Best Practices

Use specific targetSelectors to reduce noise Always define ignoreSelectors for ads, navigation, etc. Set appropriate debounceDelay to balance speed vs performance Use IntersectionObserver for content in long pages Implement batch processing for high-frequency changes Call stop() when observer is no longer needed Use WeakSet to track processed elements Monitor performance metrics regularly Handle errors gracefully to prevent observer failure Test across different websites and frameworks

Category context

Code helpers, APIs, CLIs, browser automation, testing, and developer operations.

Source: Tencent SkillHub

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Package contents

Included in package
1 Docs
  • SKILL.md Primary doc