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Chaos Engineering

插件 已验证 活跃

End-to-end chaos engineering discipline: design experiments with hypothesis + steady-state metric + blast radius + abort criteria, calculate risk score against error budget, and generate blameless postmortems. 3 stdlib Python tools (experiment_designer, blast_radius_calculator, experiment_postmortem), 4 references on chaos principles + experiment design + 7-attack taxonomy + tooling landscape (Chaos Toolkit/Mesh/Litmus/Gremlin/AWS FIS/DIY), templates for plans + postmortems, and a /chaos-experiment slash command. Composes with feature-flags-architect (kill switches as abort triggers) and kubernetes-operator (chaos targets).

目的

To enable teams to safely design, run, and learn from chaos engineering experiments, improving system resilience.

功能

  • Design chaos experiments with hypothesis and abort criteria
  • Calculate blast radius and risk score
  • Generate blameless postmortems
  • Provide reference docs on chaos principles and tooling
  • Offer templates for experiment plans and postmortems

使用场景

  • Planning a new chaos experiment
  • Assessing the safety of an experiment before execution
  • Creating postmortem reports after experiments
  • Choosing the right chaos engineering tooling

非目标

  • General incident response
  • Production debugging
  • Performance load testing

安装

请先添加 Marketplace

/plugin marketplace add alirezarezvani/claude-skills
/plugin install chaos-engineering@claude-code-skills

质量评分

已验证
99 /100
about 22 hours ago 分析

信任信号

最近提交1 day ago
星标14.6k
许可证MIT
状态
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