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Get Started Free →Use when reviewing rendered HTML, interactive components, or design-system patterns related to Use unique IDs for active elements. Check native semantics first, then inspect keyboard behavior, focus flow, accessible names, and screen-reader output where relevant.
.claude/skills/thedaviddias-duplicate-id-active/SKILL.md| Test case | Without → With | Effect | Δ tokens | Δ turns |
|---|---|---|---|---|
| case-09 | ✗→✓ | ▲ Improved | -3% | 0% |
| case-01 | ✓→✓ | ＝ Same ✓ | 1% | 0% |
| case-02 | ✓→✓ | ＝ Same ✓ | 1% | 0% |
| case-03 | ✓→✓ | ＝ Same ✓ | 0% | 0% |
| case-04 | ✓→✓ | ＝ Same ✓ | -26% | 0% |
Duplicate IDs on active elements can cause browsers and assistive technologies to skip items, misdirect focus, or fail to trigger the correct action.
Search for duplicate id attributes on focusable or active HTML elements.
Assign a unique id to each active element to ensure correct focus handling and accessibility.
Explain how unique IDs on active elements prevent navigation errors for keyboard and screen reader users.
Review the rendered markup and interactive states that affect Use unique IDs for active elements. 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/duplicate-id-active
| Case | Status | Duration (ms) | Turns | Tokens | Tool calls | ||||||||
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| Without | With | Δ | Without | With | Δ | Without | With | Δ | Without | With | Δ | ||
case-01 | pass→pass | 10,629 | 10,199 | -4% | 1 | 1 | 0% | 2,155 | 2,166 | +1% | 0 | 0 | — |
case-02 | pass→pass | 7,374 | 6,594 | -11% | 1 | 1 | 0% | 1,575 | 1,597 | +1% | 0 | 0 | — |
case-03 | pass→pass | 9,107 | 8,119 | -11% | 1 | 1 | 0% | 1,975 | 1,969 | -0% | 0 | 0 | — |
case-04 | pass→pass | 10,963 | 6,845 | -38% | 1 | 1 | 0% | 2,067 | 1,524 | -26% | 0 | 0 | — |
case-05 | pass→pass | 10,245 | 6,552 | -36% | 1 | 1 | 0% | 2,046 | 1,485 | -27% | 0 | 0 | — |
case-06 | pass→pass | 8,179 | 6,827 | -17% | 1 | 1 | 0% | 1,558 | 1,527 | -2% | 0 | 0 | — |
case-07 | pass→pass | 3,637 | 4,591 | +26% | 1 | 1 | 0% | 689 | 1,138 | +65% | 0 | 0 | — |
case-08 | pass→pass | 7,111 | 9,946 | +40% | 1 | 1 | 0% | 1,275 | 2,026 | +59% | 0 | 0 | — |
case-09 | fail→pass | 8,812 | 7,435 | -16% | 1 | 1 | 0% | 1,601 | 1,549 | -3% | 0 | 0 | — |
case-10 | pass→pass | 13,093 | 9,586 | -27% | 1 | 1 | 0% | 2,263 | 1,921 | -15% | 0 | 0 | — |
case-11 | pass→pass | 8,222 | 7,266 | -12% | 1 | 1 | 0% | 1,460 | 1,652 | +13% | 0 | 0 | — |
case-12 | pass→pass | 11,740 | 10,878 | -7% | 1 | 1 | 0% | 2,293 | 2,294 | +0% | 0 | 0 | — |
case-13 | pass→pass | 8,340 | 10,170 | +22% | 1 | 1 | 0% | 1,541 | 1,909 | +24% | 0 | 0 | — |
case-14 | pass→pass | 8,252 | 7,824 | -5% | 1 | 1 | 0% | 1,680 | 1,796 | +7% | 0 | 0 | — |
case-20 | pass→pass | 8,211 | 5,554 | -32% | 1 | 1 | 0% | 1,394 | 1,218 | -13% | 0 | 0 | — |
case-15 | pass→pass | 5,349 | 6,748 | +26% | 1 | 1 | 0% | 1,063 | 1,406 | +32% | 0 | 0 | — |
case-16 | pass→pass | 9,912 | 9,034 | -9% | 1 | 1 | 0% | 1,862 | 1,906 | +2% | 0 | 0 | — |
case-17 | pass→pass | 8,406 | 7,632 | -9% | 1 | 1 | 0% | 1,593 | 1,754 | +10% | 0 | 0 | — |
case-18 | pass→pass | 8,159 | 5,893 | -28% | 1 | 1 | 0% | 1,580 | 1,405 | -11% | 0 | 0 | — |
case-19 | pass→pass | 7,753 | 7,016 | -10% | 1 | 1 | 0% | 1,340 | 1,626 | +21% | 0 | 0 | — |
case-21 | pass→pass | 7,821 | 7,648 | -2% | 1 | 1 | 0% | 1,490 | 1,747 | +17% | 0 | 0 | — |
case-22 | pass→pass | 8,778 | 8,121 | -7% | 1 | 1 | 0% | 1,769 | 1,765 | -0% | 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 +5 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.