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Get Started Free →Use when reviewing CI coverage, automated checks, or test strategy related to Implement end-to-end testing. Focus on whether the rule is continuously verified, not just documented.
.claude/skills/thedaviddias-e2e-testing/SKILL.md| Test case | Without → With | Effect | Δ tokens | Δ turns |
|---|---|---|---|---|
| case-13 | ✗→✓ | ▲ Improved | -8% | 0% |
| case-19 | ✗→✓ | ▲ Improved | -1% | 0% |
| case-01 | ✓→✓ | ＝ Same ✓ | -19% | 0% |
| case-02 | ✓→✓ | ＝ Same ✓ | 16% | 0% |
| case-03 | ✓→✓ | ＝ Same ✓ | -19% | 0% |
E2E tests catch integration issues that unit tests miss—verifying your application works correctly from the user's perspective across all components.
Review this project for E2E test coverage of critical user journeys like authentication, checkout, and form submissions.
Add E2E tests for critical user journeys using Playwright or Cypress.
Explain E2E testing best practices including test organization, selectors, and CI/CD integration.
Review tests, CI workflows, and enforcement points related to Implement end-to-end testing. Flag exact gaps where the rule is not automatically verified or where failures do not block regressions.
For full implementation details, code examples, and framework-specific guidance, see references/rule.md.
Rule page: https://frontendchecklist.io/en/rules/testing/e2e-testing
| Case | Status | Duration (ms) | Turns | Tokens | Tool calls | ||||||||
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| Without | With | Δ | Without | With | Δ | Without | With | Δ | Without | With | Δ | ||
case-01 | pass→pass | 11,303 | 8,955 | -21% | 1 | 1 | 0% | 2,646 | 2,133 | -19% | 0 | 0 | — |
case-02 | pass→pass | 12,610 | 12,660 | +0% | 1 | 1 | 0% | 2,404 | 2,783 | +16% | 0 | 0 | — |
case-03 | pass→pass | 14,997 | 10,155 | -32% | 1 | 1 | 0% | 2,761 | 2,247 | -19% | 0 | 0 | — |
case-04 | pass→pass | 10,289 | 6,896 | -33% | 1 | 1 | 0% | 2,004 | 1,584 | -21% | 0 | 0 | — |
case-05 | pass→pass | 9,899 | 7,126 | -28% | 1 | 1 | 0% | 1,716 | 1,708 | -0% | 0 | 0 | — |
case-06 | pass→pass | 11,469 | 8,068 | -30% | 1 | 1 | 0% | 2,416 | 1,926 | -20% | 0 | 0 | — |
case-07 | pass→pass | 12,834 | 10,921 | -15% | 1 | 1 | 0% | 2,480 | 2,688 | +8% | 0 | 0 | — |
case-08 | pass→pass | 13,833 | 11,334 | -18% | 1 | 1 | 0% | 2,445 | 2,462 | +1% | 0 | 0 | — |
case-09 | pass→pass | 12,186 | 8,057 | -34% | 1 | 1 | 0% | 2,023 | 1,703 | -16% | 0 | 0 | — |
case-10 | pass→pass | 9,419 | 6,867 | -27% | 1 | 1 | 0% | 1,840 | 1,629 | -11% | 0 | 0 | — |
case-11 | pass→pass | 7,438 | 6,383 | -14% | 1 | 1 | 0% | 1,288 | 1,416 | +10% | 0 | 0 | — |
case-12 | pass→pass | 14,437 | 9,901 | -31% | 1 | 1 | 0% | 2,688 | 2,455 | -9% | 0 | 0 | — |
case-13 | fail→pass | 10,366 | 7,876 | -24% | 1 | 1 | 0% | 1,749 | 1,609 | -8% | 0 | 0 | — |
case-14 | pass→pass | 9,086 | 5,429 | -40% | 1 | 1 | 0% | 1,623 | 1,402 | -14% | 0 | 0 | — |
case-15 | pass→pass | 10,970 | 11,765 | +7% | 1 | 1 | 0% | 2,008 | 2,337 | +16% | 0 | 0 | — |
case-16 | pass→pass | 11,154 | 7,752 | -31% | 1 | 1 | 0% | 2,080 | 1,625 | -22% | 0 | 0 | — |
case-17 | pass→pass | 9,921 | 5,462 | -45% | 1 | 1 | 0% | 1,768 | 1,399 | -21% | 0 | 0 | — |
case-18 | pass→pass | 11,034 | 10,304 | -7% | 1 | 1 | 0% | 2,593 | 2,564 | -1% | 0 | 0 | — |
case-19 | fail→pass | 5,568 | 4,227 | -24% | 1 | 1 | 0% | 984 | 974 | -1% | 0 | 0 | — |
case-20 | pass→pass | 12,629 | 5,316 | -58% | 1 | 1 | 0% | 2,400 | 1,256 | -48% | 0 | 0 | — |
case-21 | pass→pass | 11,202 | 7,875 | -30% | 1 | 1 | 0% | 2,103 | 2,035 | -3% | 0 | 0 | — |
case-22 | pass→pass | 12,739 | 10,991 | -14% | 1 | 1 | 0% | 2,101 | 2,608 | +24% | 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 +9 percentage points is the difference between those two pass rates over the 22 comparable cases.
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.