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/chaos-experiment

Interactive wizard to design and validate a chaos engineering experiment

From plugin
claude-skills
30k169 skills127 agents169 commands2 MCP
$ npx -y skills add alirezarezvani/claude-skills --agent claude-code

Command definition

chaos-experiment.md
name: chaos-experiment
description: Interactive wizard to design and validate a chaos engineering experiment

/chaos-experiment

Step through the design of a chaos engineering experiment using the `chaos-engineering` skill. Produces a plan, calculates blast radius, validates abort criteria, and outputs a markdown plan ready for peer review.

Usage

/chaos-experiment
/chaos-experiment --target checkout-svc --attack latency

Implementation

SKILL=engineering/chaos-engineering/skills/chaos-engineering

# Step 1: gather inputs interactively (target, hypothesis, attack, magnitude, ...)
# Step 2: run experiment_designer.py to produce the plan
python "$SKILL/scripts/experiment_designer.py" \
  --target "$TARGET" --hypothesis "$HYPOTHESIS" \
  --attack "$ATTACK" --magnitude "$MAGNITUDE" \
  --duration-min "$DURATION" \
  --abort-if "$ABORT" --owner "$OWNER" \
  --format json > .chaos-plan.json

# Step 3: calculate blast radius against the team's error budget
python "$SKILL/scripts/blast_radius_calculator.py" \
  --traffic-share "$TRAFFIC_SHARE" \
  --user-pop "$USER_POP" \
  --duration-min "$DURATION" \
  --baseline-availability "$BASELINE_AVAIL" \
  --expected-impact-availability "$IMPACT_AVAIL"

# Step 4: render the markdown plan for peer review
python "$SKILL/scripts/experiment_designer.py" \
  --target "$TARGET" --hypothesis "$HYPOTHESIS" \
  --attack "$ATTACK" --abort-if "$ABORT" --owner "$OWNER"

Output

A markdown plan with:

  • Hypothesis, steady-state metric, attack, magnitude, duration
  • Blast radius (calculated) with risk score (GREEN/YELLOW/RED)
  • Abort criteria parsed from `--abort-if`
  • Rollback procedure
  • Monitoring dashboard link
  • Learning question

Pre-conditions

  • `chaos-engineering` skill installed
  • Target identified
  • Steady-state metric and dashboard available
  • On-call team available
  • Error budget known (or use defaults)

Post-conditions

  • `.chaos-plan.json` written for use with `experiment_postmortem.py` later
  • Markdown plan streamed for review
  • Recommendation printed: PROCEED / REDUCE / ABORT
Read more
@alirezarezvani
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