Chaos Engineering
Plugin Verifiziert AktivEnd-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).
To enable teams to safely design, run, and learn from chaos engineering experiments, improving system resilience.
Funktionen
- 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
Anwendungsfälle
- Planning a new chaos experiment
- Assessing the safety of an experiment before execution
- Creating postmortem reports after experiments
- Choosing the right chaos engineering tooling
Nicht-Ziele
- General incident response
- Production debugging
- Performance load testing
Installation
Zuerst Marketplace hinzufügen
/plugin marketplace add alirezarezvani/claude-skills/plugin install chaos-engineering@claude-code-skillsQualitätspunktzahl
VerifiziertVertrauenssignale
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