slug: chaos-mesh
provider: Chaos Mesh
generated_by: planning/capability-mapping/scripts/classify_capabilities.py
model: claude-opus-5
frame:
- Software & Technology
min_confidence: 0.7
capability_model:
  source: https://github.com/vincentmakes/turbo-ea-capabilities
  license: CC-BY-4.0
  attribution: Turbo EA Capabilities by Vincent Verdet — Turbo EA, https://github.com/vincentmakes/turbo-ea-capabilities,
    CC BY 4.0
  notice: NOTICE
edge_count: 1
edges:
- tag: Experiments
  spec_file: chaos-mesh-experiments-api-openapi.yml
  capability_id: BC-4220.60
  capability_id_l1: BC-4220
  capability_name: Disaster Recovery & Resilience
  confidence: 0.7
  evidence: '"Create a new chaos experiment"; "Pause a chaos experiment"; "orchestrates chaos experiments
    on Kubernetes to test system resilience and reliability"'
  reason: These operations create, start, pause and track fault-injection experiments against the running
    platform — chaos engineering as resilience validation of the service. BC-4220.60 covers failover and
    disaster-recovery exercises, the closest fit; some chance the intended home is quality engineering
    or generic resilience testing, hence 0.70.