Controlled failure injection: hypothesis design, blast radius control, safety mechanisms, game day planning, and resilience verification.
Scanned 9/5/2026
Install to Claude Code
npx -y skills add irahardianto/antigravity-setup --skill chaos-testing --agent claude-codeInstalls into .claude/skills of the current project.
Are you the author of Chaos Testing?
Add the live security badge to your README — it updates automatically with every re-scan.
[](https://www.skillsdirectory.com/skills/irahardianto-chaos-testing)More formats (shields.io, HTML) on the badges page.
---
name: chaos-testing
description: >-
Controlled failure injection: hypothesis design, blast radius control,
safety mechanisms, game day planning, and resilience verification.
---
# Chaos Testing Principles
Controlled failure injection to build confidence in system resilience.
## When to Invoke
- Verifying system resilience before production deployment
- Designing game day exercises
- Testing circuit breakers, retries, and failover
- Validating disaster recovery plans
## Methodology
### 1. Define Steady State
Identify measurable indicators of normal system behavior:
- Request success rate ≥ 99.9%
- P99 latency < 500ms
- Error rate < 0.1%
### 2. Form Hypothesis
"When [failure condition], the system will [expected behavior] because [mechanism]."
Example: "When database primary fails, the system will failover to replica within 30s because of automatic failover configuration."
### 3. Design Experiment
| Element | Description |
|---|---|
| **Target** | Which component to perturb |
| **Failure mode** | What kind of failure (latency, crash, partition) |
| **Blast radius** | Scope of impact (single instance, AZ, region) |
| **Duration** | How long the failure persists |
| **Abort criteria** | When to immediately stop the experiment |
| **Rollback plan** | How to restore normal operation |
### 4. Execute
- Start with smallest blast radius
- Monitor continuously during experiment
- Have rollback ready at all times
- Stop immediately if abort criteria met
### 5. Analyze & Learn
- Did system behave as hypothesized?
- What broke unexpectedly?
- What recovery mechanisms worked/failed?
- Document findings and action items
## Failure Injection Types
| Type | Examples |
|---|---|
| **Process** | Kill process, OOM, CPU spike |
| **Network** | Latency injection, packet loss, partition |
| **Infrastructure** | Instance termination, AZ failure, disk full |
| **Application** | Exception injection, slow dependency, config error |
| **Data** | Corrupt cache, stale data, schema mismatch |
## Safety Mechanisms (Non-Negotiable)
1. **Abort button** — immediate experiment termination capability
2. **Blast radius limits** — never affect >5% of production traffic initially
3. **Time-boxed** — experiments have maximum duration
4. **Monitoring** — real-time dashboards during experiments
5. **Business hours only** — no chaos experiments during peak or off-hours
6. **Stakeholder communication** — relevant teams informed before experiments
## Game Day Planning
### Checklist
- [ ] Hypothesis documented
- [ ] Blast radius defined and limited
- [ ] Abort criteria specified
- [ ] Rollback plan verified
- [ ] Monitoring dashboards ready
- [ ] Communication channel open
- [ ] All participants briefed
- [ ] No conflicting deployments scheduled
## Related
- Monitoring and Alerting Principles @.agents/rules/monitoring-and-alerting-principles.md
- Incident Response @.agents/skills/incident-response/SKILL.md
- Error Handling Principles .agents/rules/error-handling-principles.md
Is this your skill, or is something wrong with this listing? Request removal or report an issue. Author removals are honored within 72 hours.
No comments yet. Be the first to comment!