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log-analyzer

Parse system, web server, and application logs to detect anomalies and security incidents.

Updated Mar 7, 2026
Search Tags:#security#log analysis#incident response#system monitoring#anomaly detection#threat intelligence
One-click install
npx skills add https://github.com/Paparusi/jarvis --skill log-analyzer-paparusi
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: log-analyzer
Source: https://github.com/Paparusi/jarvis/tree/main/workspace/skills/security/log-analyzer
Command: npx skills add https://github.com/Paparusi/jarvis --skill log-analyzer-paparusi

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes scripts (resource) and references (resource) components.

What problem does it solve?

This Skill helps you detect security incidents, performance issues, and unusual patterns by analyzing system, web server, and application logs.

Core Features & Use Cases

  • Log Analysis: Parses various log formats (syslog, Apache/Nginx, JSON).
  • Anomaly Detection: Identifies failed logins, brute force attempts, error spikes, and suspicious IPs.
  • Threat Intelligence: Cross-references suspicious IPs with external threat intelligence.
  • Use Case: Automatically scan your web server's access logs for any signs of a brute-force attack or unusual traffic patterns.

Quick Start

Analyze the system logs for any suspicious activity.

Frequently Asked Questions about log-analyzer

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

FAQPage Schema
How do I analyze system logs for suspicious activity and security incidents?▼

To analyze system logs for suspicious activity, this Skill parses syslog, Apache, Nginx, and JSON formats to detect failed logins, brute force attempts, and suspicious IPs, cross-referencing findings with threat intelligence.

What is the best way to detect brute force attacks in web server access logs?▼

To detect brute force attacks in web server access logs, the Skill parses Apache or Nginx formats to identify patterns of failed logins and suspicious IPs, cross-referencing them with threat intelligence.

Can I use this to parse JSON application logs for anomaly detection?▼

Yes, you can parse JSON application logs for anomaly detection. The Skill processes JSON formats alongside syslog and web server logs to identify error spikes and unusual traffic patterns.

Do I need Python to analyze logs for unusual traffic patterns?▼

Yes, you need Python to analyze logs for unusual traffic patterns. The Skill requires Python analysis capabilities and file reading to parse log formats and detect anomalies.

How does cross-referencing suspicious IPs with threat intelligence work?▼

Cross-referencing suspicious IPs with threat intelligence works by parsing system and web server logs to flag anomalies, then validating those suspicious IPs against external threat intelligence data.

What log formats are supported for detecting error spikes and performance issues?▼

Supported log formats for detecting error spikes and performance issues include syslog, Apache, Nginx, and JSON. The Skill parses these formats to identify anomalies and security incidents.

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