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Testing strategies, patterns, and tools for robotics software.
Passed 18 of 24 test cases with the skill, and 19 of 24 without it.
2 fixed16 passed either way3 still failing3 broke
Tokens, turns and time describe resource use, not a dollar price.
One of 2 test cases the skill fixed. Same model, same prompt, with and without the skill.
We are writing unit tests for ROS2 python nodes using pytest. An engineer suggested calling rclpy.init() and rclpy.shutdown() inside every individual test method fixture to completely clean state. How should the ROS context fixture be scoped in pytest to avoid initialization overhead while preventing shutdown crashes across tests? Show the pytest fixture code.
| Checked | Without skill | With skill |
|---|---|---|
| Scopes the ros_context pytest fixture to module level. | Missed | Passed |
| Uses a yield statement to separate rclpy.init() from rclpy.shutdown(). | Passed | Passed |
The instructions your model reads when the skill loads.
╱╲
╱ ╲ Field Tests
╱ ╲ (Real robot, real environment)
╱──────╲
╱ ╲ Hardware-in-the-Loop (HIL)
╱ ╲ (Real hardware, controlled environment)
╱────────────╲
╱ ╲ Simulation Tests
╱ ╲ (Full sim, realistic physics)
╱──────────────────╲
╱ ╲ Integration Tests
╱ ╲ (Multi-node, message passing)
╱────────────────────────╲
╱ ╲ Unit Tests
╱____________________________╲ (Single function/class, fast, deterministic)
MORE tests at the bottom, FEWER at the top.
Bottom = fast, cheap, deterministic. Top = slow, expensive, realistic.
test cases passed, vs 19 / 24 without
More skills from the same source and nearby in the registry, with their headline benchmark lift.