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.claude/skills/e2e-testing-patterns/SKILL.md| Model | Eval pass | Runs |
|---|---|---|
| gemini-3.6-flash | 100% | 6 |
| gemini-3.1-pro-preview | 100% | 1 |
| Test case | Without → With | Effect | Δ tokens | Δ turns |
|---|---|---|---|---|
| case-07 | ✗→✓ | ▲ Improved | -14% | 0% |
| case-08 | ✗→✓ | ▲ Improved | 8% | 0% |
| case-19 | ✗→✓ | ▲ Improved | -15% | 0% |
| case-22 | ✗→✓ | ▲ Improved | -25% | 0% |
| case-17 | ✓→✗ | ▼ Worse | 8% | 0% |
Build reliable, fast, and maintainable end-to-end test suites that provide confidence to ship code quickly and catch regressions before users do.
resources/implementation-playbook.md for detailed E2E patterns and templates.Input: invalid login sometimes appears successful because the test reads the error before rendering finishes. Use a dedicated fixture account and assert await expect(page.getByRole('alert')).toContainText('Invalid credentials'). Run the test without retries and confirm the dashboard remains inaccessible. Expected: the failure state is observed reliably; a delayed error cannot silently pass.
An authorized test URL, isolated accounts/data, the installed browser runner and known success/failure states. The playbook uses project-specific routes and adapters; install only the dependencies your existing suite needs.
| Case | Status | Duration (ms) | Turns | Tokens | Tool calls | ||||||||
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| Without | With | Δ | Without | With | Δ | Without | With | Δ | Without | With | Δ | ||
case-14 | pass→pass | 17,884 | 20,406 | +14% | 1 | 1 | 0% | 2,530 | 2,302 | -9% | 0 | 0 | — |
case-01 | fail→fail | 21,988 | 24,091 | +10% | 1 | 1 | 0% | 3,268 | 3,267 | -0% | 0 | 0 | — |
case-02 | fail→fail | 21,348 | 22,463 | +5% | 1 | 1 | 0% | 2,816 | 3,050 | +8% | 0 | 0 | — |
case-03 | pass→pass | 21,852 | 15,836 | -28% | 1 | 1 | 0% | 2,241 | 1,952 | -13% | 0 | 0 | — |
case-04 | pass→pass | 11,683 | 22,036 | +89% | 1 | 1 | 0% | 1,776 | 1,812 | +2% | 0 | 0 | — |
case-05 | fail→fail | 62,186 | 28,406 | -54% | 1 | 1 | 0% | 2,872 | 3,001 | +4% | 0 | 0 | — |
case-06 | pass→pass | 19,119 | 17,223 | -10% | 1 | 1 | 0% | 2,233 | 2,001 | -10% | 0 | 0 | — |
case-07 | fail→pass | 21,256 | 10,949 | -48% | 1 | 1 | 0% | 2,357 | 2,034 | -14% | 0 | 0 | — |
case-08 | fail→pass | 55,894 | 21,501 | -62% | 1 | 1 | 0% | 1,931 | 2,079 | +8% | 0 | 0 | — |
case-09 | pass→pass | 28,044 | 26,941 | -4% | 1 | 1 | 0% | 3,695 | 4,265 | +15% | 0 | 0 | — |
case-10 | pass→pass | 18,383 | 26,333 | +43% | 1 | 1 | 0% | 2,204 | 2,902 | +32% | 0 | 0 | — |
case-11 | pass→pass | 136,446 | 12,979 | -90% | 1 | 1 | 0% | 2,014 | 2,142 | +6% | 0 | 0 | — |
case-12 | pass→pass | 10,000 | 20,727 | +107% | 1 | 1 | 0% | 1,217 | 1,705 | +40% | 0 | 0 | — |
case-13 | pass→pass | 22,876 | 21,896 | -4% | 1 | 1 | 0% | 2,504 | 3,114 | +24% | 0 | 0 | — |
case-15 | pass→pass | 17,905 | 41,479 | +132% | 1 | 1 | 0% | 1,480 | 1,873 | +27% | 0 | 0 | — |
case-16 | pass→pass | 16,814 | 10,493 | -38% | 1 | 1 | 0% | 1,727 | 2,015 | +17% | 0 | 0 | — |
case-17 | pass→fail | 21,983 | 14,804 | -33% | 1 | 1 | 0% | 2,526 | 2,730 | +8% | 0 | 0 | — |
case-18 | pass→pass | 18,920 | 20,221 | +7% | 1 | 1 | 0% | 1,776 | 2,228 | +25% | 0 | 0 | — |
case-19 | fail→pass | 19,001 | 15,723 | -17% | 1 | 1 | 0% | 1,668 | 1,412 | -15% | 0 | 0 | — |
case-20 | pass→pass | 21,850 | 22,191 | +2% | 1 | 1 | 0% | 3,328 | 3,359 | +1% | 0 | 0 | — |
case-21 | pass→pass | 25,973 | 26,820 | +3% | 1 | 1 | 0% | 3,203 | 4,276 | +33% | 0 | 0 | — |
case-22 | fail→pass | 57,139 | 40,159 | -30% | 1 | 1 | 0% | 2,879 | 2,151 | -25% | 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. 22 cases were attempted. The headline lift of +14 percentage points is the difference between those two pass rates over the 22 comparable cases. 1 case got worse with the skill loaded, and it is 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.
| Model | Method | Date | Lift |
|---|---|---|---|
| gemini-3.6-flash | verified | 7/28/2026 | — |
Other measured skills in the registry, with their headline benchmark lift.