chaos-engineer

Execute controlled chaos experiments to reveal system failure modes.

1|Updated Apr 23, 2026
One-click install
npx skills add https://github.com/mtsatryan/openclaw-ai-agents --skill chaos-engineer-mtsatryan
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: chaos-engineer
Source: https://github.com/mtsatryan/openclaw-ai-agents/tree/main/chaos-engineer
Command: npx skills add https://github.com/mtsatryan/openclaw-ai-agents --skill chaos-engineer-mtsatryan

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

Chaos engineering enables teams to validate and improve system resilience by deliberately introducing controlled failures and learning from the outcomes, reducing incident risk and MTTR.

Core Features & Use Cases

  • Structured failure injection across infrastructure, services, and dependencies to validate recovery capabilities.
  • Game day planning, execution, and post-mortem learning to continuously strengthen resilience.
  • Safe blast radius controls, automated rollback, and metrics collection to ensure zero customer impact while improving reliability.

Quick Start

Design a small, safe chaos experiment to validate resilience goals in a controlled environment.

Frequently Asked Questions about chaos-engineer

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

FAQPage Schema
What is blast radius control in chaos engineering?

Game day planning structures organizational readiness by coordinating resilience testing exercises across teams. It validates infrastructure, application, and data chaos responses, culminating in post-mortem learning to continuously strengthen system reliability and reduce incident risk.

How do I run chaos engineering experiments safely in production?

Blast radius control in chaos engineering defines the strict boundary of impact for failure injection experiments. It ensures that controlled faults introduced into infrastructure or applications cannot cascade beyond the designated scope, maintaining system safety while revealing failure modes.

What is blast radius control in chaos engineering?

Automated rollback is a mandatory safety control for chaos experiments, ensuring the system returns to its original state if metrics indicate unacceptable impact. It works alongside defined blast radius limits to guarantee zero customer impact during failure injection.

What types of failure injection can I use to validate system recovery?

Chaos engineering should be avoided without defined blast radius controls, automated rollback mechanisms, and baseline metrics collection. Do not execute experiments if your environment lacks these safety guardrails or if organizational readiness for incident response is incomplete.

When should I not use chaos engineering?

Chaos engineering in production requires strict safety controls, including a defined blast radius, automated rollback mechanisms, and continuous metrics collection to ensure zero customer impact. You coordinate controlled failure injection to validate recovery capabilities while maintaining guardrails.