freud-detection-ai
CommunityExplainable AI anomaly detection for game ops.
Data & Analytics#risk-management#workflow-design#anomaly-detection#fraud-detection#ai-model#game-ops
Authoregorfedorov
Version1.0.0
Installs0
System Documentation
What problem does it solve?
Design and validate AI-driven anomaly/fraud-style detection workflows for game operations. Use when defining signal features, model scoring thresholds, investigation routing, or validating detection pipeline reliability and false-positive controls.
Core Features & Use Cases
- Define scope and constraints for detection programs, target outcomes, and gating rules.
- Design and tune detector configurations, feature signals, scoring thresholds, escalation paths, and runbooks.
- Execute in small, traceable increments with changelog and reproducibility across releases.
- Validate contract integrity, alert quality, and investigation traceability with explicit acceptance criteria.
Quick Start
Configure a detector for live game operations and output an auditable runbook, signal definitions, scoring thresholds, and escalation paths.
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: freud-detection-ai Download link: https://github.com/egorfedorov/Slot-Casino-Game-Developer-Skills-for-Stake-Engine/archive/main.zip#freud-detection-ai Please download this .zip file, extract it, and install it in the .claude/skills/ directory.
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