Which chaos engineering tools does this skill support?

The skill supports a wide range of industry-standard tools including Chaos Mesh for Kubernetes, Gremlin, Toxiproxy for network simulation, and AWS Fault Injection Simulator (FIS).

How does this help with Site Reliability Engineering (SRE)?

It directly supports SRE goals by proactively identifying single points of failure and verifying that your system meets its Service Level Objectives (SLOs) even during infrastructure disruptions.

Can Claude execute these experiments directly?

Claude can draft the necessary configuration files, scripts, and CLI commands required to execute experiments via the Bash tool in your authorized environment.

Is it safe to use this skill in a production environment?

While chaos engineering can be done in production, Claude follows best practices by helping you define blast radius constraints and starting with small-scale experiments to minimize risk.

Chaos Engineering Toolkit

Name: Chaos Engineering Toolkit
Author: BbgnsurfTech

byBbgnsurfTech

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보안 및 테스팅

Designs and executes controlled failure experiments to identify system weaknesses and validate architectural resilience.

소개

The Chaos Engineering Toolkit skill empowers Claude to act as a reliability specialist, guiding teams through the lifecycle of chaos experiments from hypothesis design to execution and post-mortem analysis. By simulating real-world failures such as network latency, pod crashes, or resource exhaustion, it helps developers proactively uncover hidden vulnerabilities in distributed systems before they impact users. Whether you are validating circuit breaker logic or testing multi-region failover protocols, this skill provides the domain-specific expertise needed to build robust, anti-fragile software architectures using industry-standard tools.

주요 기능

Step-by-step guidance for GameDay planning and controlled execution
Integration with tools like Chaos Mesh, Gremlin, Toxiproxy, and AWS FIS
Validation of recovery mechanisms like circuit breakers and retry logic
Automated experiment design for failure injection and latency simulation
3 GitHub stars
Post-experiment analysis and actionable resilience recommendations

사용 사례

Testing Kubernetes cluster resilience by simulating random pod terminations
Validating database failover procedures and data consistency under stress
Simulating network congestion to assess API gateway performance and timeouts

소개

주요 기능

Step-by-step guidance for GameDay planning and controlled execution
Integration with tools like Chaos Mesh, Gremlin, Toxiproxy, and AWS FIS
Validation of recovery mechanisms like circuit breakers and retry logic
Automated experiment design for failure injection and latency simulation
3 GitHub stars
Post-experiment analysis and actionable resilience recommendations

사용 사례

Testing Kubernetes cluster resilience by simulating random pod terminations
Validating database failover procedures and data consistency under stress
Simulating network congestion to assess API gateway performance and timeouts