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Get Started Free →Use when you need to apply testing strategies for Java code — RIGHT-BICEP to guide test creation, A-TRIP for test quality characteristics, or CORRECT for verifying boundary conditions. This should trigger for requests such as Review Java code for testing strategies; Apply RIGHT-BICEP testing strategies in Java code; Apply A-TRIP testing strategies in Java code; Apply CORRECT boundary condition verification in Java code. Part of Plinth Toolkit
.claude/skills/jabrena-130-java-testing-strategies/SKILL.md| Test case | Without → With | Effect | Δ tokens | Δ turns |
|---|---|---|---|---|
| case-10 | ✗→✓ | ▲ Improved | 11% | 0% |
| case-07 | ✗→✓ | ▲ Improved | 0% | 0% |
| case-13 | ✗→✓ | ▲ Improved | 63% | 0% |
| case-05 | ✓→✗ | ▼ Worse | 47% | 0% |
| case-06 | ✓→✗ | ▼ Worse | -21% | 0% |
Apply proven testing strategies (RIGHT-BICEP, A-TRIP, CORRECT) to design and verify Java unit tests.
What is covered in this Skill?
Before applying any test strategy changes, ensure the project compiles. If compilation fails, stop immediately — do not proceed until resolved. After applying improvements, run full verification.
./mvnw compile or mvn compile before applying any change./mvnw clean verify or mvn clean verify after applying improvementsreferences/130-java-testing-strategies-right-bicep.md by defaultreferences/130-java-testing-strategies-a-trip.md by defaultreferences/130-java-testing-strategies-correct.md by defaultRun ./mvnw compile or mvn compile and stop immediately if compilation fails.
Route the request before reading references:
references/130-java-testing-strategies-right-bicep.md when the request asks what to test, which behavior is missing, whether assertions prove the right result, how to force errors, how to cross-check, or how to add performance guardrails.references/130-java-testing-strategies-a-trip.md when the request asks why tests are flaky, brittle, manual, slow to run locally, order-dependent, shared-state dependent, unclear, or hard to maintain.references/130-java-testing-strategies-correct.md when the request asks for boundary-condition review, CORRECT analysis, invalid input handling, conformance, ordering, range, external reference, existence, cardinality, or time cases.Do not require unrelated references for a narrow request unless the user's concern crosses technique boundaries.
Improve or add tests using the selected technique: produce a RIGHT-BICEP gap matrix for missing behavior coverage, an A-TRIP quality finding list for test reliability and maintainability issues, a CORRECT boundary checklist for boundary reviews, or all three sections for broad reviews.
Run ./mvnw clean verify or mvn clean verify after applying improvements.
For detailed guidance, examples, and constraints, see:
| Case | Status | Duration (ms) | Turns | Tokens | Tool calls | ||||||||
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| Without | With | Δ | Without | With | Δ | Without | With | Δ | Without | With | Δ | ||
case-09 | fail→fail | 14,283 | 4,526 | -68% | 1 | 1 | 0% | 2,064 | 1,795 | -13% | 0 | 0 | — |
case-10 | fail→pass | 18,944 | 12,288 | -35% | 1 | 1 | 0% | 2,663 | 2,943 | +11% | 0 | 0 | — |
case-01 | fail→fail | 20,794 | 5,878 | -72% | 1 | 1 | 0% | 3,548 | 1,423 | -60% | 0 | 0 | — |
case-02 | fail→fail | 2,840 | 6,499 | +129% | 1 | 1 | 0% | 148 | 1,450 | +880% | 0 | 0 | — |
case-03 | fail→fail | 28,948 | 6,207 | -79% | 1 | 1 | 0% | 4,661 | 1,408 | -70% | 0 | 0 | — |
case-04 | pass→pass | 8,724 | 8,678 | -1% | 1 | 1 | 0% | 1,655 | 2,725 | +65% | 0 | 0 | — |
case-05 | pass→fail | 12,600 | 13,630 | +8% | 1 | 1 | 0% | 2,285 | 3,362 | +47% | 0 | 0 | — |
case-06 | pass→fail | 14,498 | 7,031 | -52% | 1 | 1 | 0% | 2,811 | 2,228 | -21% | 0 | 0 | — |
case-07 | fail→pass | 13,784 | 5,270 | -62% | 1 | 1 | 0% | 1,946 | 1,943 | -0% | 0 | 0 | — |
case-08 | pass→pass | 13,588 | 5,945 | -56% | 1 | 1 | 0% | 2,039 | 2,040 | +0% | 0 | 0 | — |
case-11 | pass→pass | 14,188 | 3,513 | -75% | 1 | 1 | 0% | 2,114 | 1,594 | -25% | 0 | 0 | — |
case-12 | fail→fail | 10,350 | 5,260 | -49% | 1 | 1 | 0% | 1,661 | 1,815 | +9% | 0 | 0 | — |
case-13 | fail→pass | 5,997 | 2,345 | -61% | 1 | 1 | 0% | 895 | 1,462 | +63% | 0 | 0 | — |
case-14 | pass→pass | 6,983 | 1,680 | -76% | 1 | 1 | 0% | 965 | 1,284 | +33% | 0 | 0 | — |
case-15 | pass→pass | 3,665 | 4,063 | +11% | 1 | 1 | 0% | 533 | 1,743 | +227% | 0 | 0 | — |
case-16 | pass→pass | 5,948 | 6,149 | +3% | 1 | 1 | 0% | 879 | 1,978 | +125% | 0 | 0 | — |
case-17 | pass→pass | 4,788 | 6,108 | +28% | 1 | 1 | 0% | 746 | 2,079 | +179% | 0 | 0 | — |
case-18 | pass→pass | 4,833 | 4,039 | -16% | 1 | 1 | 0% | 847 | 1,664 | +96% | 0 | 0 | — |
case-19 | pass→pass | 5,028 | 3,884 | -23% | 1 | 1 | 0% | 790 | 1,708 | +116% | 0 | 0 | — |
case-20 | pass→pass | 5,061 | 5,325 | +5% | 1 | 1 | 0% | 813 | 1,899 | +134% | 0 | 0 | — |
case-21 | pass→pass | 9,760 | 3,140 | -68% | 1 | 1 | 0% | 1,490 | 1,560 | +5% | 0 | 0 | — |
case-22 | pass→pass | 5,690 | 3,416 | -40% | 1 | 1 | 0% | 896 | 1,560 | +74% | 0 | 0 | — |
case-23 | pass→pass | 7,032 | 3,400 | -52% | 1 | 1 | 0% | 1,266 | 1,567 | +24% | 0 | 0 | — |
case-24 | pass→pass | 4,970 | 4,805 | -3% | 1 | 1 | 0% | 758 | 1,807 | +138% | 0 | 0 | — |
DecimalAI ran this skill against gemini-3.6-flash twice over the same eval suite — once with the skill loaded and once without — and compared the two runs case by case. 24 cases were attempted, and 21 counted toward the lift figure. The other 3 produced results that are not comparable between the two arms, so they are excluded from the headline rather than averaged into it. The headline lift of +4 percentage points is the difference between those two pass rates over the 21 comparable cases. 2 cases got worse with the skill loaded, and they are included in that figure.
Without the skill loaded, the model failed this case. With it loaded, the same prompt on the same model passed. This is one improved case from the latest verified run; every case, including any that regressed, is in the table above.
Other measured skills in the registry, with their headline benchmark lift.