What networks is this skill designed for?

While highly specialized for 5G Radio Access Networks (RAN), its cognitive security framework can be applied to transport, core, and management network planes.

How does it handle threat detection?

It uses a combination of behavioral analysis, signature matching, and ML-enhanced anomaly detection to identify and predict threats across multiple network layers.

Does it support automated security enforcement?

Yes, it implements adaptive security policy management that can automatically enforce or update security protocols based on the real-time threat landscape.

What is the Security Coordinator skill?

It is a specialized capability for Claude Code designed to manage and automate RAN (Radio Access Network) security using cognitive consciousness and deep temporal reasoning.

Security Coordinator

Name: Security Coordinator
Author: ricable

byricable

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Security & Testing

Orchestrates RAN security using cognitive threat detection, predictive modeling, and intelligent policy management for 5G networks.

About

The Security Coordinator skill provides an advanced framework for managing Radio Access Network (RAN) security through cognitive consciousness and temporal reasoning. Leveraging the SPARC Framework and AgentDB, it enables deep threat pattern analysis and predictive security management by expanding temporal reasoning capabilities. This skill is designed for security engineers and network administrators who need to implement self-adaptive security coordination, multi-layer monitoring, and autonomous threat response across radio, transport, and core network domains.

Key Features

Cognitive consciousness with 1000x temporal reasoning for deep threat analysis
Adaptive security policy management with context-aware enforcement
Multi-layer security monitoring for radio-access, transport, and core networks
1 GitHub stars
Predictive threat modeling using ML-enhanced behavioral and anomaly detection
Strange-loop optimization for self-referential security improvement cycles

Use Cases

Predictive vulnerability assessment and proactive security management in RAN environments
Automating threat hunting and incident response in 5G network infrastructures
Deploying intelligent, self-healing security policies based on behavioral profiling

About

Key Features

Cognitive consciousness with 1000x temporal reasoning for deep threat analysis
Adaptive security policy management with context-aware enforcement
Multi-layer security monitoring for radio-access, transport, and core networks
1 GitHub stars
Predictive threat modeling using ML-enhanced behavioral and anomaly detection
Strange-loop optimization for self-referential security improvement cycles

Use Cases

Predictive vulnerability assessment and proactive security management in RAN environments
Automating threat hunting and incident response in 5G network infrastructures
Deploying intelligent, self-healing security policies based on behavioral profiling