Does it integrate with existing chaos engineering tools?

Yes, it provides guidance and implementation patterns for tools like Chaos Monkey, Gremlin, LitmusChaos, Toxiproxy, and WireMock.

Can Claude generate documentation from these experiments?

Yes, the skill automatically helps generate recovery runbooks and impact analysis reports based on the findings of each experiment.

What is the primary goal of the Chaos Engineering skill?

The goal is to proactively identify system weaknesses by injecting controlled disruptions to ensure the system can recover automatically without manual intervention.

How does it protect against accidental production outages?

The skill follows a strict blast radius progression (starting in Dev/Staging) and uses automated rollback triggers if error rates or latency exceed predefined thresholds.

Which types of failures can this skill simulate?

It can simulate network latency, packet loss, instance kills, disk/CPU pressure, application exceptions, and dependency service outages.

Chaos Engineering & Resilience

Name: Chaos Engineering & Resilience
Author: proffesor-for-testing

byproffesor-for-testing

•

安全与测试

Implements controlled failure injection and resilience validation to ensure distributed systems handle real-world disruptions gracefully.

This skill empowers Claude to perform sophisticated chaos engineering experiments, helping teams discover hidden system weaknesses before they impact end-users. It provides a structured methodology for defining steady-state metrics, automating failure injections—including network latency, instance termination, and dependency timeouts—and validating recovery procedures. By coordinating specialized agents like the qe-chaos-engineer and qe-performance-tester, this skill ensures high-confidence deployments through gradual blast radius expansion and automated safety rollbacks, ultimately hardening infrastructure against unpredictable failures.

主要功能

01Configurable safety triggers and automated rollback mechanisms

02Automated generation of disaster recovery runbooks and experiment logs

03Real-time steady-state monitoring with automated deviation detection

04Automated failure injection across network, infrastructure, and application layers

05Multi-agent coordination for end-to-end resilience validation

0626 GitHub stars

使用场景

01Hardening high-availability infrastructure during pre-production verification

02Testing system stability under simulated network partitions and high latency

03Validating disaster recovery and automated failover in microservice architectures

What are Skills?·How to Install

Install with 🐟 Skill.Fish

npx skillfish add proffesor-for-testing/sentinel-api-testing chaos-engineering-resilience

For use in Claude.ai and ChatGPT

Download Skill

主要功能

01Configurable safety triggers and automated rollback mechanisms

02Automated generation of disaster recovery runbooks and experiment logs

03Real-time steady-state monitoring with automated deviation detection

04Automated failure injection across network, infrastructure, and application layers

05Multi-agent coordination for end-to-end resilience validation

0626 GitHub stars

使用场景

01Hardening high-availability infrastructure during pre-production verification

02Testing system stability under simulated network partitions and high latency

03Validating disaster recovery and automated failover in microservice architectures

What are Skills?·How to Install

Install with 🐟 Skill.Fish

npx skillfish add proffesor-for-testing/sentinel-api-testing chaos-engineering-resilience

For use in Claude.ai and ChatGPT

Download Skill