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Get Started Free →Use when reviewing rendered HTML, interactive components, or design-system patterns related to Use a single label for each form field. Check native semantics first, then inspect keyboard behavior, focus flow, accessible names, and screen-reader output where relevant.
.claude/skills/thedaviddias-form-field-multiple-labels/SKILL.md| Test case | Without → With | Effect | Δ tokens | Δ turns |
|---|---|---|---|---|
| case-01 | ✗→✓ | ▲ Improved | 15% | 0% |
| case-04 | ✗→✓ | ▲ Improved | 1% | 0% |
| case-10 | ✗→✓ | ▲ Improved | 8% | 0% |
| case-20 | ✓→✗ | ▼ Worse | -2% | 0% |
| case-08 | ✓→✓ | ＝ Same ✓ | -28% | 0% |
Multiple labels for a single field can cause screen readers to announce redundant information or fail to correctly associate the input with its purpose.
Search for form inputs that are associated with more than one <label> element.
Consolidate multiple labels into a single <label> or use aria-labelledby to reference multiple sources of text.
Explain how a 1:1 relationship between labels and inputs ensures clarity for assistive technology users.
Review the rendered markup and interactive states that affect Use a single label for each form field. Flag exact elements, roles, labels, focus behavior, or keyboard interactions that violate the rule, and note how to verify the fix with browser accessibility tooling or assistive tech.
For full implementation details, code examples, and framework-specific guidance, see references/rule.md.
Rule page: https://frontendchecklist.io/en/rules/accessibility/form-field-multiple-labels
| Case | Status | Duration (ms) | Turns | Tokens | Tool calls | ||||||||
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| Without | With | Δ | Without | With | Δ | Without | With | Δ | Without | With | Δ | ||
case-08 | pass→pass | 13,756 | 7,719 | -44% | 1 | 1 | 0% | 2,736 | 1,962 | -28% | 0 | 0 | — |
case-09 | fail→fail | 16,712 | 11,433 | -32% | 1 | 1 | 0% | 2,774 | 2,487 | -10% | 0 | 0 | — |
case-01 | fail→pass | 8,838 | 8,852 | +0% | 1 | 1 | 0% | 1,923 | 2,217 | +15% | 0 | 0 | — |
case-02 | fail→fail | 8,887 | 6,567 | -26% | 1 | 1 | 0% | 1,836 | 1,638 | -11% | 0 | 0 | — |
case-03 | pass→pass | 3,235 | 4,128 | +28% | 1 | 1 | 0% | 665 | 1,016 | +53% | 0 | 0 | — |
case-04 | fail→pass | 8,975 | 7,286 | -19% | 1 | 1 | 0% | 1,731 | 1,741 | +1% | 0 | 0 | — |
case-05 | pass→pass | 7,011 | 7,058 | +1% | 1 | 1 | 0% | 1,310 | 1,592 | +22% | 0 | 0 | — |
case-06 | pass→pass | 3,530 | 5,186 | +47% | 1 | 1 | 0% | 801 | 1,327 | +66% | 0 | 0 | — |
case-07 | pass→pass | 9,401 | 6,634 | -29% | 1 | 1 | 0% | 1,733 | 1,704 | -2% | 0 | 0 | — |
case-10 | fail→pass | 6,892 | 5,869 | -15% | 1 | 1 | 0% | 1,483 | 1,608 | +8% | 0 | 0 | — |
case-11 | pass→pass | 7,793 | 6,853 | -12% | 1 | 1 | 0% | 1,756 | 1,866 | +6% | 0 | 0 | — |
case-12 | pass→pass | 12,589 | 12,665 | +1% | 1 | 1 | 0% | 2,685 | 2,859 | +6% | 0 | 0 | — |
case-13 | pass→pass | 5,019 | 4,126 | -18% | 1 | 1 | 0% | 1,016 | 1,103 | +9% | 0 | 0 | — |
case-14 | pass→pass | 11,985 | 8,469 | -29% | 1 | 1 | 0% | 2,216 | 1,999 | -10% | 0 | 0 | — |
case-15 | pass→pass | 9,739 | 7,251 | -26% | 1 | 1 | 0% | 1,995 | 1,817 | -9% | 0 | 0 | — |
case-16 | pass→pass | 17,230 | 11,344 | -34% | 1 | 1 | 0% | 3,397 | 2,481 | -27% | 0 | 0 | — |
case-17 | pass→pass | 9,447 | 8,358 | -12% | 1 | 1 | 0% | 1,749 | 2,138 | +22% | 0 | 0 | — |
case-18 | pass→pass | 13,408 | 12,023 | -10% | 1 | 1 | 0% | 2,600 | 2,461 | -5% | 0 | 0 | — |
case-19 | pass→pass | 6,342 | 6,185 | -2% | 1 | 1 | 0% | 1,329 | 1,622 | +22% | 0 | 0 | — |
case-20 | pass→fail | 6,822 | 5,253 | -23% | 1 | 1 | 0% | 1,554 | 1,530 | -2% | 0 | 0 | — |
case-21 | pass→pass | 13,623 | 8,534 | -37% | 1 | 1 | 0% | 2,301 | 1,838 | -20% | 0 | 0 | — |
case-22 | pass→pass | 9,563 | 6,367 | -33% | 1 | 1 | 0% | 1,879 | 1,451 | -23% | 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. 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.
Other measured skills in the registry, with their headline benchmark lift.