Silva – POS Watch (Anomaly Detection)
CommunityDetect 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 requiredComponents
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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