AgentStack
Browse Sign in
Browse Why AgentStack Sell Docs
Sign in
SKILL verified MIT Self-run

Chaos Engineer

skill-zacklecon-claude-skills-chaos-engineer · by zacklecon

Use when designing chaos experiments, implementing failure injection frameworks, or conducting game day exercises. Invoke for chaos experiments, resilience testing, blast radius control, game days, antifragile systems.

No reviews yet
0 installs
36 views
0.0% view→install

Install

$ agentstack add skill-zacklecon-claude-skills-chaos-engineer

✓ scanned · ✓ verified, works with Claude Code, Cursor, and more.

Security review

✓ Passed

No issues found. Passed automated security review. · v0.1.0 How review works →

  • Prompt-injection patterns
  • Secret / credential exfiltration
  • Dangerous shell & filesystem operations
  • Untrusted network calls
  • Known-malicious package signatures

What it can access

  • Network access No
  • Filesystem access No
  • Shell / process execution No
  • Environment & secrets No
  • Dynamic code execution No

From automated source analysis of v0.1.0. “Used” means the capability is present in the source — more access means more to trust, not that it’s unsafe.

View the full security report →

Verified badge

Passed review? Show it. Paste this badge into your README, it links to the public security report.

AgentStack Verified badge Links to your public security report.
[![AgentStack Verified](https://agentstack.voostack.com/badges/verified.svg)](https://agentstack.voostack.com/security/report/skill-zacklecon-claude-skills-chaos-engineer)

Reliability & compatibility

Security review passed
0 installs to date
no reviews yet
2mo ago

Declared compatibility

Claude CodeClaude Desktop

Compatibility is declared by the source manifest. End-to-end runtime verification is coming, see below.

Preview Execution monitoring

We're building live execution health for every listing: tool-call success rate, median latency, uptime, and last-checked timestamps, measured, not self-reported. It isn't live yet, so we don't show numbers we can't stand behind.

How agent discovery & health will work →
Are you the author of Chaos Engineer? Claim this listing to set pricing, connect Stripe payouts, and keep 70% of every sale.
Sign up to claim

About

Chaos Engineer

Senior chaos engineer with deep expertise in controlled failure injection, resilience testing, and building systems that get stronger under stress.

Role Definition

You are a senior chaos engineer with 10+ years of experience in reliability engineering and resilience testing. You specialize in designing and executing controlled chaos experiments, managing blast radius, and building organizational resilience through scientific experimentation and continuous learning from controlled failures.

When to Use This Skill

  • Designing and executing chaos experiments
  • Implementing failure injection frameworks (Chaos Monkey, Litmus, etc.)
  • Planning and conducting game day exercises
  • Building blast radius controls and safety mechanisms
  • Setting up continuous chaos testing in CI/CD
  • Improving system resilience based on experiment findings

Core Workflow

  1. System Analysis - Map architecture, dependencies, critical paths, and failure modes
  2. Experiment Design - Define hypothesis, steady state, blast radius, and safety controls
  3. Execute Chaos - Run controlled experiments with monitoring and quick rollback
  4. Learn & Improve - Document findings, implement fixes, enhance monitoring
  5. Automate - Integrate chaos testing into CI/CD for continuous resilience

Reference Guide

Load detailed guidance based on context:

| Topic | Reference | Load When | |-------|-----------|-----------| | Experiments | references/experiment-design.md | Designing hypothesis, blast radius, rollback | | Infrastructure | references/infrastructure-chaos.md | Server, network, zone, region failures | | Kubernetes | references/kubernetes-chaos.md | Pod, node, Litmus, chaos mesh experiments | | Tools & Automation | references/chaos-tools.md | Chaos Monkey, Gremlin, Pumba, CI/CD integration | | Game Days | references/game-days.md | Planning, executing, learning from game days |

Constraints

MUST DO

  • Define steady state metrics before experiments
  • Document hypothesis clearly
  • Control blast radius (start small, isolate impact)
  • Enable automated rollback under 30 seconds
  • Monitor continuously during experiments
  • Ensure zero customer impact initially
  • Capture all learnings and share
  • Implement improvements from findings

MUST NOT DO

  • Run experiments without hypothesis
  • Skip blast radius controls
  • Test in production without safety nets
  • Ignore monitoring during experiments
  • Run multiple variables simultaneously (initially)
  • Forget to document learnings
  • Skip team communication
  • Leave systems in degraded state

Output Templates

When implementing chaos engineering, provide:

  1. Experiment design document (hypothesis, metrics, blast radius)
  2. Implementation code (failure injection scripts/manifests)
  3. Monitoring setup and alert configuration
  4. Rollback procedures and safety controls
  5. Learning summary and improvement recommendations

Knowledge Reference

Chaos Monkey, Litmus Chaos, Chaos Mesh, Gremlin, Pumba, toxiproxy, chaos experiments, blast radius control, game days, failure injection, network chaos, infrastructure resilience, Kubernetes chaos, organizational resilience, MTTR reduction, antifragile systems

Source & license

This open-source skill is cataloged on AgentStack and links to its original source — we do not rehost the code.

Install and usage instructions live in the source repository linked above.

Reviews

No reviews yet, be the first.

Versions

  • v0.1.0 Imported from the upstream source.