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lyderhansen
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generate-logs

Generate synthetic log data for Splunk using Python scripts and predefined scenarios.

4|Updated Feb 7, 2026
Search Tags:#security testing#synthetic data#splunk#log generation#data simulation#demo data
One-click install
npx skills add https://github.com/lyderhansen/The-Fake-T-Shirt-Company --skill generate-logs
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: generate-logs
Source: https://github.com/lyderhansen/The-Fake-T-Shirt-Company/tree/main/.claude/skills/generate-logs
Command: npx skills add https://github.com/lyderhansen/The-Fake-T-Shirt-Company --skill generate-logs

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill requires python3, and includes scripts (resource) and references (resource) components.

What problem does it solve?

This Skill automates the creation of realistic synthetic log data, eliminating the need for manual log generation or the use of incomplete or outdated datasets for Splunk environments.

Core Features & Use Cases

  • Diverse Data Sources: Generates logs from a wide array of sources including network devices, cloud platforms, endpoints, and applications.
  • Scenario-Based Generation: Supports the injection of specific operational and security scenarios like data exfiltration or system failures.
  • Customizable Output: Allows for detailed configuration of log volume, date ranges, and specific data sources.
  • Use Case: A Splunk administrator needs to test a new detection rule for data exfiltration. They can use this Skill to generate logs simulating an exfiltration event across multiple data sources, ensuring their rule is effective.

Quick Start

Use the generate-logs skill to create logs for all sources for 14 days.

Frequently Asked Questions about generate-logs

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

FAQPage Schema
How do I generate synthetic log data for Splunk?▼

You can generate synthetic log data for Splunk by using Python scripts that create logs from predefined scenarios. This process automates data creation across network, cloud, and endpoint sources, eliminating manual log generation.

Can I simulate specific security attacks like data exfiltration in Splunk logs?▼

Yes, you can simulate security attacks like data exfiltration using scenario-based log generation. This allows you to inject specific operational and security events across multiple data sources to test detection rules effectively.

What types of log sources are supported for Splunk data simulation?▼

Splunk data simulation supports a diverse array of log sources including network devices, cloud platforms, Windows and Linux endpoints, web servers, collaboration tools, email, and ITSM data sources.

Do I need Python 3 to generate demo data for Splunk testing?▼

Yes, you need Python 3 installed along with specific libraries to run the scripts for log generation and scenario implementation. These dependencies are required to produce the synthetic demo data for your Splunk environment.

Is it possible to customize the volume and date ranges of generated Splunk logs?▼

Yes, synthetic log generation allows for detailed configuration of log volume and date ranges. You can specify these parameters alongside selecting specific data sources to tailor the output to your testing requirements.

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