Agent skill · security · aradotso

k7-total-security-deployment-automation

Deploy and configure K7 Total Security 16.0.1195 enterprise protection profiles across multi-platform endpoints with AI-powered threat analysis

Why this skill is useful

Adds executable scripts for deploying and configuring K7 Total Security that automate multi-platform endpoint protection management.

What it needs

Requires k7-console installed locally. About 7k tokens when loaded. Last updated 2026-08-04. 11 stars on the source repository.

What this skill does

K7 Total Security Deployment Automation Skill by ara.so — Security Skills collection. Overview K7 Total Security 16.0.1195 is an enterprise-grade endpoint protection framework that provides signatureless AI detection, multi-platform synchronization, and modular protection layers. This skill enables automated deployment, configuration management, and AI-powered threat analysis integration across heterogeneous environments. Key capabilities: Unified security profiles deployable to Windows, macOS, and Linux Signatureless behavioral threat detection AI-powered incident analysis via OpenAI/Claude APIs Multi-layer protection: executable guard, memory scanner, USB filter, web filter Centralized policy management and SIEM integration Installation Prerequisites Deploy K7 Console Configuration Basic Profile Structure K7 uses YAML-based configuration profiles for policy management: AI Integration Configuration Key Commands Profile Management Status and Monitoring Bulk Deployment Code Examples Python: Automated Profile Deployment Python: AI-Powered Threat Analysis Bash: Automated Profile Update Script Common Patterns Pattern 1: Environment-Specific Profiles Pattern 2: Role-Based Security Profiles Pattern 3: SIEM Integration Troubleshooting Connection Issues Profile Application Failures AI Integration Issues Performance Optimization Common Error Messages Error Cause Solution ------- ------- ---------- Connection timeout Firewall blocking port 4451 Open port 4451 TCP on target endpoint Invalid authentication Expired or incorrect credentials Regenerate auth file with --generate-auth Profile validation failed YAML syntax error Run --validate-profile and fix errors AI provider unreachable Network/API key issue Test with --test-ai-integration Memory scanner overload Sensitivity too high Reduce sensitivity or increase scan interval Best Practices 1. Always validate profiles before bulk deployment 2. Use environment variables for sensitive data (API keys, credentials) 3. …

How to use it

Reference it in AdaL, Claude Code, Cursor or any coding agent — nothing to install:

@skills aradotso/k7-total-security-deployment-automation

View the source on GitHub

Browse the @skills marketplace