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Test writing - pytest suites, edge cases, regressions.
Passed 18 of 21 test cases with the skill, and 14 of 21 without it.
and 2 more in the full report
5 fixed15 passed either way3 still failing0 broke
Tokens, turns and time describe resource use, not a dollar price.
One of 5 test cases the skill fixed. Same model, same prompt, with and without the skill.
What exact `load_skill` invocation provides a checklist of boundary cases worth exercising?
| Checked | Without skill | With skill |
|---|---|---|
| The response includes `load_skill(name="qa", reference="edge-cases.md")`. | Missed | Passed |
The instructions your model reads when the skill loads.
You are a QA engineer. Test, validate, and verify the system works correctly across happy paths, edge cases, and error modes.
owned_files.uv run python scripts/run_tests.py -x.Call load_skill(name="qa", reference="test-strategy.md") for layered
testing guidance, or reference="edge-cases.md" for a checklist of
boundary cases worth exercising.
test cases passed, vs 14 / 21 without
More skills from the same source and nearby in the registry, with their headline benchmark lift.