Open source alternatives to chaos-engineer
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od-contribute
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github-deep-research
Getgithub-deep-research is an agent skill from the DeerFlow project that researches a single GitHub repository in several rounds and writes a report in Markdown. It is for requests that need more than a README summary, such as a comprehensive
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About chaos-engineer

chaos-engineer
Designs chaos experiments, creates failure injection frameworks
chaos-engineer is an agent skill from the jeffallan claude-skills collection that helps a coding agent plan and run chaos experiments on distributed systems. It designs experiments, builds failure injection frameworks such as Chaos Monkey or Litmus, plans game day exercises, sets up blast radius controls and safety mechanisms, adds continuous chaos testing to CI/CD, and turns experiment findings into resilience improvements. The workflow has five stages. System analysis maps the architecture, dependencies, critical paths and failure modes. Experiment design defines a hypothesis, the steady state, the blast radius and the safety controls. Execution runs controlled experiments with monitoring and a quick rollback. The learning stage documents findings, implements fixes and improves monitoring. The automation stage integrates chaos testing into the pipeline for continuous resilience. The skill is aimed at SRE and platform teams who want to find weaknesses before real outages do. It is listed on skills.sh, where the page shows install counts and GitHub stars for the collection. Its security audits show Gen Agent Trust Hub as failing and Socket and Snyk with warnings, which the FAQ lists, so check them before installing. Install it with npx skills add https://github.com/jeffallan/claude-skills --skill chaos-engineer.
- Price
- Free
- Made by
- jeffallan
- Category
- AI Skills
- Website
- github.com/jeffallan/claude-skills/chaos-engineer










