Fraud Pattern Explanation
CommunityDecode fraud signals into clear explanations.
Data & Analytics#machine learning#cybersecurity#risk analysis#fraud detection#transaction monitoring#pattern explanation
Authorwassemgtk
Version1.0.0
Installs0
System Documentation
What problem does it solve?
This Skill translates complex fraud detection signals into clear, human-readable explanations, enabling faster review and better fraud rule calibration.
Core Features & Use Cases
- Signal Decomposition: Breaks down fraud flags into categorized signals (Payment, Identity, Behavioral, Device/Network, Velocity, Address).
- Contextual Enrichment: Compares signals against baselines, historical data, and identifies mitigating factors.
- Narrative Explanation: Generates a risk summary, detailed signal explanations, and recommended actions.
- Use Case: A fraud analyst receives a transaction flagged with a high risk score. This Skill provides a clear explanation: "This transaction exhibits strong account takeover indicators: new device, changed shipping address, and high-value electronics order inconsistent with purchase history."
Quick Start
Use the Fraud Pattern Explanation skill to explain why transaction TXN-98234 was flagged, providing the contributing signals and recommended action.
Dependency Matrix
Required Modules
None requiredComponents
scriptsreferences
💻 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: Fraud Pattern Explanation Download link: https://github.com/wassemgtk/skills-testing/archive/main.zip#fraud-pattern-explanation Please download this .zip file, extract it, and install it in the .claude/skills/ directory.
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