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Get Started Free →Use when reviewing rendered HTML, interactive components, or design-system patterns related to Ensure identical links have consistent destinations. Check native semantics first, then inspect keyboard behavior, focus flow, accessible names, and screen-reader output where relevant.
.claude/skills/thedaviddias-identical-links-same-purpose/SKILL.md| Test case | Without → With | Effect | Δ tokens | Δ turns |
|---|---|---|---|---|
| case-01 | ✗→✓ | ▲ Improved | 2% | 0% |
| case-17 | ✗→✓ | ▲ Improved | 10% | 0% |
| case-06 | ✓→✗ | ▼ Worse | -15% | 0% |
| case-07 | ✓→✓ | ＝ Same ✓ | 18% | 0% |
| case-08 | ✓→✓ | ＝ Same ✓ | 12% | 0% |
When links with identical text lead to different destinations, it creates confusion and unpredictability, especially for users who rely on a list of links to navigate.
Identify any links on the page that have identical link text but point to different URLs.
Change the link text to be unique for each destination, or ensure that identical text always leads to the same resource.
Explain how identical link text for different destinations can mislead users, particularly those using screen readers to scan a list of links.
Review the rendered markup and interactive states that affect Ensure identical links have consistent destinations. 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/identical-links-same-purpose
| Case | Status | Duration (ms) | Turns | Tokens | Tool calls | ||||||||
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| Without | With | Δ | Without | With | Δ | Without | With | Δ | Without | With | Δ | ||
case-06 | pass→fail | 10,841 | 8,071 | -26% | 1 | 1 | 0% | 1,990 | 1,691 | -15% | 0 | 0 | — |
case-07 | pass→pass | 9,082 | 8,875 | -2% | 1 | 1 | 0% | 1,708 | 2,021 | +18% | 0 | 0 | — |
case-08 | pass→pass | 9,524 | 8,922 | -6% | 1 | 1 | 0% | 1,832 | 2,048 | +12% | 0 | 0 | — |
case-22 | pass→pass | 8,137 | 8,645 | +6% | 1 | 1 | 0% | 1,649 | 1,837 | +11% | 0 | 0 | — |
case-01 | fail→pass | 15,026 | 14,156 | -6% | 1 | 1 | 0% | 2,737 | 2,785 | +2% | 0 | 0 | — |
case-02 | pass→pass | 11,695 | 6,499 | -44% | 1 | 1 | 0% | 2,260 | 1,518 | -33% | 0 | 0 | — |
case-03 | pass→pass | 9,361 | 4,418 | -53% | 1 | 1 | 0% | 1,696 | 1,031 | -39% | 0 | 0 | — |
case-04 | pass→pass | 10,897 | 9,649 | -11% | 1 | 1 | 0% | 1,959 | 2,198 | +12% | 0 | 0 | — |
case-05 | pass→pass | 10,155 | 6,584 | -35% | 1 | 1 | 0% | 1,710 | 1,307 | -24% | 0 | 0 | — |
case-09 | pass→pass | 9,781 | 5,505 | -44% | 1 | 1 | 0% | 1,716 | 1,233 | -28% | 0 | 0 | — |
case-10 | pass→pass | 12,454 | 5,675 | -54% | 1 | 1 | 0% | 2,365 | 1,221 | -48% | 0 | 0 | — |
case-11 | pass→pass | 9,410 | 8,237 | -12% | 1 | 1 | 0% | 1,847 | 1,927 | +4% | 0 | 0 | — |
case-12 | pass→pass | 12,235 | 9,970 | -19% | 1 | 1 | 0% | 2,284 | 2,152 | -6% | 0 | 0 | — |
case-13 | pass→pass | 15,083 | 12,554 | -17% | 1 | 1 | 0% | 2,764 | 2,667 | -4% | 0 | 0 | — |
case-14 | pass→pass | 14,849 | 6,427 | -57% | 1 | 1 | 0% | 1,283 | 1,425 | +11% | 0 | 0 | — |
case-15 | pass→pass | 10,980 | 6,375 | -42% | 1 | 1 | 0% | 1,794 | 1,312 | -27% | 0 | 0 | — |
case-16 | pass→pass | 6,524 | 5,150 | -21% | 1 | 1 | 0% | 1,202 | 1,238 | +3% | 0 | 0 | — |
case-17 | fail→pass | 8,199 | 7,322 | -11% | 1 | 1 | 0% | 1,474 | 1,619 | +10% | 0 | 0 | — |
case-18 | pass→pass | 11,166 | 5,701 | -49% | 1 | 1 | 0% | 1,886 | 1,270 | -33% | 0 | 0 | — |
case-19 | pass→pass | 7,521 | 4,990 | -34% | 1 | 1 | 0% | 1,296 | 1,090 | -16% | 0 | 0 | — |
case-20 | pass→pass | 12,333 | 8,539 | -31% | 1 | 1 | 0% | 2,217 | 1,875 | -15% | 0 | 0 | — |
case-21 | pass→pass | 12,831 | 10,270 | -20% | 1 | 1 | 0% | 2,376 | 2,151 | -9% | 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. 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.