• The system
A plug-and-play moderation engine designed for Roblox games to automatically scan, detect, and manage players wearing explicit, revealing, or inappropriate avatar clothing and accessories.
• Its workflow?
It manages your experience from inappropriate content by cross-referencing player avatars against confirmed malicious asset databases, blacklist filters, and other systems, allowing webhook integration directly to your Discord server.
• Plug and play
Built on a tested loader architecture. The central detection engine and configurations are fetched globally, allowing the system to update automatically with new asset updates, logic improvements, and feature extensions without ever requiring developers to replace the physical asset system inside Roblox Studio.
• Configuration set
Comes out-of-the-box with a flexible suite of core operational settings:
- Enable/Disable Controls: • Toggle moderation checks on or off.
- Double Scanning: • Automatically re-scans players upon character respawn to catch users who attempt to switch to malicious avatars mid-game.
- Kick customization: • Customize both the punishment and the given message.
- And much more yet to come.
• Future/Planned Features
- Avatar Sensitivity • Customize the sensitivity for detection.
• Fine-Tuning Configuration
The system includes advanced developer hooks for custom integrations:
- Custom Webhook Integration: Send multiple report payloads to secondary HTTP endpoints via JSON data, allowing integration with external Discord bots, custom cross-server ban systems, or even central databases.
- Integration Data: Structured JSON data including
UserID,Username,Headshot,Avatar_shot, andflaggedassetmetadata (ID,assetType,detectionType).
• Default Webhook Example
Where?
- Mod System • Github • fixed version currently
- Discord server • Invite • V3Z2kS52Hy • updates, announcements, etc
Mod System Analysis version 1.1.0 * 29/08/2026
Basic Analysis of 50 characters
- Summary 96% detection rate
| Inappropriate | Count | Percent |
|---|---|---|
| Total | 25 | 100% |
| Detections | 24 | 96% |
| Undetected | 1 | 4% |
| Regular | Count | Percent |
|---|---|---|
| Total | 25 | 100% |
| Detections | 0 | 0% |
| Undetected | 25 | 100% |

