/integration
SkillCloud & infraContainerized Python based Framework for running and visualizing benchmark workloads on any Kubernetes/ OpenShift and runtime kinds pods, kubevirt virtual machines simply and safely
Available today. Use it from your connected AI after setup.
No other account needed.
Connect ahel once, and every AI you use reads what you have installed.
Then ask your AI: use the /integration skill
What this skill tells your AI
The instructions your AI receives, as published by redhat-performance/benchmark-runner in .claude/skills/integration/SKILL.md and read by ahel’s review.
Run integration tests against a live OCP cluster.
Steps
-
Run all integration tests
PYTHONPATH=. python3 -m pytest -v tests/integration/ -
Run a specific workload test (if args provided)
PYTHONPATH=. python3 -m pytest -v tests/integration/benchmark_runner/workloads/test_oc_benchmark_runner.py -k "<workload_name>"
Notes
- Requires a live OCP cluster with valid kubeconfig at
~/.kube/config - Tests create and delete real workloads on the cluster
- ODF-dependent tests are skipped on clusters without ODF
Signals
- GitHub stars
- 38
- Forks
- 24
- Last commit
- Sep 2026
Advanced
- Catalog kind
- skill
- Gateway key
integration-redhat-performance- Source
- github.com/redhat-performance/benchmark-runner