SKILL

Chaos Experiment

From claude-skills by @alirezarezvani · View on GitHub

Interactive wizard to design and validate a chaos engineering experiment

This skill ships inside the claude-skills package. Install the package to get this skill plus everything else in the bundle.

sv install alirezarezvani/claude-skills

/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

bash
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