An advanced AI-powered content moderation system for real-time detection of explicit images, videos, and text.
Install & Download
1. ClawHub CLI
The fastest way to install a skill directly from the registry.
npx clawhub@latest install nsfw-detector-pro
2. Manual Installation
Copy the skill folder to one of these locations
~/.openclaw/skills/ <project>/skills/ Priority: Workspace > Local > Bundled
3. Prompt Installation
Copy this prompt to OpenClaw to install it automatically.
Help me install nsfw-detector-pro using Clawhub. If Clawhub is not installed, install it first (npm i -g clawhub).
Prefer to download?
Get the raw skill files in a ZIP archive.
What is NSFW Detector Pro?
NSFW Detector Pro is a robust solution designed to automate the moderation of user-generated content across various digital platforms. By leveraging state-of-the-art computer vision and deep learning models like ResNet-50 and BERT, this tool identifies explicit imagery, suggestive content, and inappropriate language with up to 96% accuracy. It is a vital addition for developers looking to integrate safety protocols using Openclaw Skills.
The system provides a multi-layered approach to content safety, distinguishing between artistic expression and explicit material while offering configurable sensitivity levels to match specific community guidelines. Whether you are managing a social network or an e-commerce platform, this skill ensures a safe environment for all users by providing fast, reliable, and context-aware analysis.
NSFW Detector Pro Use Cases
- Automated moderation for social media platforms and community forums to prevent inappropriate posts.
- Real-time photo verification for dating applications and profile picture screening.
- Content filtering for e-commerce listings to ensure brand safety.
- Compliance monitoring for corporate communication tools and educational platforms.
- Deep video stream analysis for live content platforms to detect violations frame-by-frame.
How NSFW Detector Pro Works
- The system receives input data, which can include raw images, video files, or text strings provided via the API.
- Input is pre-processed using optimized libraries like Sharp for images or FFmpeg for video frame extraction to ensure maximum performance.
- The multi-modal analysis engine runs the data through an ensemble of specialized models, such as nsfw-resnet-50 for visual detection.
- The skill calculates confidence scores across multiple categories including pornography, erotica, and suggestive content.
- Based on pre-configured sensitivity thresholds (Strict, Moderate, or Relaxed), the system returns a verdict to block, flag, or allow the content.
NSFW Detector Pro Setup
To integrate this tool into your project using Openclaw Skills, you can install the package via npm:
npm install @raghulpasupathi/nsfw-detector-pro
For users preferring the ClawHub registry, use the following URL for installation:
https://clawhub.ai/raghulpasupathi/nsfw-detector-pro
Note: Ensure your environment has TensorFlow dependencies and OpenCV configured to leverage GPU acceleration for faster inference.
NSFW Detector Pro Data Schema & Taxonomy
The skill generates a detailed JSON object for every analysis, facilitating easy integration into existing moderation workflows. The typical output structure includes:
| Field | Type | Description |
|---|---|---|
className |
String | The detected category (e.g., Pornography, Erotica, Suggestive, Safe). |
probability |
Float | Confidence score ranging from 0.0 to 1.0. |
status |
String | The final recommendation (Block or Pass) based on active thresholds. |
metadata |
Object | Detailed results including skin tone detection percentages and frame indices for video. |
execution_time |
Number | Latency of the analysis in milliseconds. |
NSFW Detector Pro Advanced Features
- GPU acceleration support using TensorFlow.js for high-throughput production environments.
- Intelligent context awareness that distinguishes between medical/artistic content and explicit material.
- Multi-model ensemble logic that combines computer vision with NLP for holistic content moderation.
- Real-time video processing with adjustable frame-per-second (FPS) sampling to balance speed and accuracy.
- Sophisticated skin tone and face detection to identify exposed regions with higher precision.
- Built-in caching mechanisms with configurable TTL to reduce redundant processing costs for popular content.
SKILL.md
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