adaptive-enforcement-lab/chaos-experiment-design
plugins/patterns/skills/chaos-experiment-design/SKILL.md
Chaos experiment design methodology. Hypothesis formation, success criteria definition, blast radius control, validation patterns, and SLI monitoring for effective chaos engineering.
development
Updated Mar 27, 2026
$ install --global
skillsauthnpx skillsauth add adaptive-enforcement-lab/claude-skills chaos-experiment-designInstall this skill globally with one command. Works with Claude Code, Cursor, and Windsurf.
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TrivyContainer and dependency vulnerability scanner
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SemgrepStatic code analysis for vulnerabilities
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95%
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Snyk (dep)Open source security scanning
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Socket.devSupply chain security analysis
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Last scanned: Mar 29, 2026, 10:51 AM36.8s2 files scanned
SKILL.md
- name:
- chaos-experiment-design
- description:
- >-
Chaos Experiment Design
When to Use This Skill
Chaos without validation is just breaking things. Proper experiment design transforms fault injection into reliability engineering.
Core Principle
Every chaos experiment must have a hypothesis, measurable success criteria, controlled blast radius, and automated validation. If you can't measure it, you can't learn from it.
Implementation
See the full implementation guide in the source documentation.
Related Patterns
- Chaos Engineering Overview
- Observability
- Experiments
References
- Source Documentation
- AEL Patterns
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