What is the Chaos Engineering Toolkit for Claude Code?

It is a specialized skill that enables Claude to help you design, configure, and analyze chaos experiments to test your system's robustness against unexpected failures.

Which chaos engineering tools does this skill support?

The skill provides guidance and configuration assistance for industry-standard tools including Chaos Mesh, Gremlin, Toxiproxy, and AWS Fault Injection Simulator (FIS).

When should I use this skill?

Use this skill during GameDays, when implementing new microservices, or when you need to validate that your recovery mechanisms like circuit breakers are working correctly.

Can Claude help me analyze the results of a chaos test?

Yes, the skill assists in monitoring key metrics during experiments and provides recommendations for improving resilience based on observed system behavior.

Chaos Engineering Toolkit

Name: Chaos Engineering Toolkit
Author: intent-solutions-io

byintent-solutions-io

Security & Testing

Designs and executes controlled failure injection experiments to validate system resilience and recovery mechanisms.

About

This skill empowers Claude to act as a chaos engineering specialist, guiding developers and SREs through the lifecycle of resilience testing. It facilitates the design of experiment scopes, selects appropriate tools like Chaos Mesh or AWS FIS, and helps execute failure scenarios such as latency injection or resource exhaustion. By analyzing system behavior under stress, this skill identifies vulnerabilities and provides actionable recommendations to improve high availability and the effectiveness of circuit breakers.

Key Features

Resilience validation for circuit breakers and retry logic
Post-experiment analysis and vulnerability reporting
Automated chaos experiment design and scoping
Multi-tool support including Chaos Mesh, Gremlin, and Toxiproxy
0 GitHub stars
Real-world failure simulation (latency, packet loss, resource exhaustion)

Use Cases

Testing database failover processes in Kubernetes or cloud environments
Validating microservices robustness during simulated regional outages
Simulating API gateway latency to assess downstream impact

About

Key Features

Resilience validation for circuit breakers and retry logic
Post-experiment analysis and vulnerability reporting
Automated chaos experiment design and scoping
Multi-tool support including Chaos Mesh, Gremlin, and Toxiproxy
0 GitHub stars
Real-world failure simulation (latency, packet loss, resource exhaustion)

Use Cases

Testing database failover processes in Kubernetes or cloud environments
Validating microservices robustness during simulated regional outages
Simulating API gateway latency to assess downstream impact