cyber-defense-team

Orchestrate multi-agent analysis of security logs to detect anomalies and generate incident reports.

Updated Apr 12, 2026
One-click install
npx skills add https://github.com/Alamator/code-ultimate --skill cyber-defense-team
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: cyber-defense-team
Source: https://github.com/Alamator/code-ultimate/tree/main/examples/skills/cyber-defense-team
Command: npx skills add https://github.com/Alamator/code-ultimate --skill cyber-defense-team

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

This Skill automates the end-to-end analysis of security log files to find anomalies, classify risk, and produce an actionable incident report so analysts can triage threats faster and with consistent, auditable output.

Core Features & Use Cases

  • Multi-agent pipeline orchestration: Spawns a log ingestor, anomaly detector, risk classifier, and threat reporter in a coordinated sequence.
  • Log compatibility: Designed to analyze common log types such as nginx access logs, authentication logs, and syslog entries.
  • Deliverables: Produces structured event JSON, anomaly lists, a risk classification JSON, and a final markdown incident report for SOC workflows and incident response.
  • Error handling & validation: Validates input presence, reports agent failures, and surfaces partial results if later stages fail.

Quick Start

Run the skill by instructing the AI: /cyber-defense-team /var/log/nginx/access.log

Frequently Asked Questions about cyber-defense-team

High-intent search queries and answers about installing and using this skill.

FAQPage Schema
How do I automate nginx log analysis for anomaly detection and incident response?

You can automate nginx log analysis by running a multi-agent pipeline that ingests access logs, detects anomalies, classifies risk, and generates a consolidated markdown incident report for SOC triage and forensic investigation.

Can I use this to analyze syslog and authentication logs for security threat detection?

Yes, this log analysis pipeline supports syslog and authentication logs alongside nginx data, parsing raw entries to detect security anomalies and produce structured threat detection outputs.

What is the best way to generate automated risk classifications from security log files?

Automated risk classification is generated by coordinating sequential agent stages that evaluate ingested log events, outputting a structured risk classification JSON file for incident response workflows.

How do I produce a structured incident report from raw server logs without manual review?

A structured incident report is produced by orchestrating a multi-agent threat analysis workflow that ingests raw logs, detects anomalies, and consolidates findings into a markdown report.

Does this log analysis pipeline validate input files and handle agent failures during processing?

Yes, the pipeline validates input presence before processing, reports agent failures, and surfaces partial results if later stages fail, ensuring auditable output for security operations.

What structured output formats can I expect from automated security log threat analysis?

Automated security log threat analysis produces structured event JSON files, anomaly lists, risk classification JSON, and a final markdown incident report to support incident response workflows.