/unittest
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
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Also: Claude Code · Cursor · Codex
Then ask your AI: use the /unittest skill
Details
Instructions available. Your AI can read the instructions. Execution depends on the setup they require.
Account requirements not reviewed. Check the skill instructions before use; Ahel provides instructions and does not run this skill.
No other account needed.
Add Ahel to your AI once: Claude, ChatGPT, Cursor, Claude Code or Codex. Then ask it to use this.
What this skill tells your AI
The instructions your AI receives, as published by redhat-performance/benchmark-runner in .claude/skills/unittest/SKILL.md and read by Ahel’s review.
Run all unit tests.
Steps
-
Regenerate golden files
make golden_files -
Run all unit tests
PYTHONPATH=. python3 -m pytest -v tests/unittest/All tests must pass.
Notes
- Fix any failing tests before pushing
- Golden file tests are included — run
make golden_filesfirst if templates changed
Signals
- GitHub stars
- 39
- Forks
- 25
- Last commit
- Oct 2026
Advanced
- Item type
- skill
- Key
unittest- Source
- github.com/redhat-performance/benchmark-runner
github.com/redhat-performance/benchmark-runner
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