Silva – POS Watch (Anomaly Detection)

Community

Detect high-risk POS transactions in real-time.

Authorsilva2kand
Version1.0.0
Installs0

System Documentation

What problem does it solve?

Detects and analyzes anomalies in Point-of-Sale data to identify suspicious activities and prevent fraud or errors.

Core Features & Use Cases

  • Anomaly Detection: Monitors refunds, discounts, voids, and unusual transactions to flag suspicious patterns.
  • Risk Assessment: Generates metrics and red-flag summaries to evaluate transaction safety.
  • Use Case: Retail managers can identify refund spikes or discount abuse to investigate potential fraud, enabling proactive risk management.

Quick Start

Use the Silva POS Watch skill to analyze your latest POS transaction data for anomalies and risk patterns.

Dependency Matrix

Required Modules

None required

Components

references

💻 Claude Code Installation

Recommended: Let Claude install automatically. Simply copy and paste the text below to Claude Code.

Please help me install this Skill:
Name: Silva – POS Watch (Anomaly Detection)
Download link: https://github.com/silva2kand/silva-ide/archive/main.zip#silva-pos-watch-anomaly-detection

Please download this .zip file, extract it, and install it in the .claude/skills/ directory.
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