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Get Started Free →Assesses potential suppliers against defined commercial, operational, and compliance requirements. Use when the user provides supplier records plus sourcing requirements and wants a consistent shortlist with strengths and risks.
.claude/skills/spiralcrew-ou-supplier-qualification/SKILL.md| Model | Eval pass | Runs |
|---|---|---|
| gemini-3.6-flashlowest | 80% | 5 |
| gemini-3.1-pro-preview | 100% | 1 |
| Test case | Without → With | Effect | Δ tokens | Δ turns |
|---|---|---|---|---|
| case-03 | ✗→✓ | ▲ Improved | 22% | 0% |
| case-04 | ✗→✓ | ▲ Improved | 59% | 0% |
| case-09 | ✗→✓ | ▲ Improved | 43% | 0% |
| case-11 | ✗→✓ | ▲ Improved | 11% | 0% |
| case-12 | ✗→✓ | ▲ Improved | 53% | 0% |
Assess potential suppliers against defined commercial, operational, and compliance requirements.
Return one record per supplier with the following fields:
| Case | Status | Duration (ms) | Turns | Tokens | Tool calls | ||||||||
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| Without | With | Δ | Without | With | Δ | Without | With | Δ | Without | With | Δ | ||
case-01 | pass→pass | 8,849 | 4,772 | -46% | 1 | 1 | 0% | 1,396 | 1,160 | -17% | 0 | 0 | — |
case-02 | pass→pass | 10,315 | 6,443 | -38% | 1 | 1 | 0% | 1,854 | 1,496 | -19% | 0 | 0 | — |
case-03 | fail→pass | 6,540 | 4,470 | -32% | 1 | 1 | 0% | 1,001 | 1,217 | +22% | 0 | 0 | — |
case-04 | fail→pass | 5,677 | 6,055 | +7% | 1 | 1 | 0% | 972 | 1,545 | +59% | 0 | 0 | — |
case-05 | pass→pass | 8,795 | 4,448 | -49% | 1 | 1 | 0% | 1,522 | 1,181 | -22% | 0 | 0 | — |
case-06 | pass→pass | 4,260 | 5,491 | +29% | 1 | 1 | 0% | 740 | 1,524 | +106% | 0 | 0 | — |
case-07 | pass→pass | 7,849 | 5,226 | -33% | 1 | 1 | 0% | 1,135 | 1,344 | +18% | 0 | 0 | — |
case-08 | pass→pass | 5,591 | 6,099 | +9% | 1 | 1 | 0% | 893 | 1,398 | +57% | 0 | 0 | — |
case-09 | fail→pass | 4,590 | 4,438 | -3% | 1 | 1 | 0% | 805 | 1,150 | +43% | 0 | 0 | — |
case-10 | pass→pass | 5,410 | 5,184 | -4% | 1 | 1 | 0% | 1,141 | 1,394 | +22% | 0 | 0 | — |
case-11 | fail→pass | 7,731 | 6,711 | -13% | 1 | 1 | 0% | 1,588 | 1,762 | +11% | 0 | 0 | — |
case-12 | fail→pass | 4,791 | 4,918 | +3% | 1 | 1 | 0% | 860 | 1,315 | +53% | 0 | 0 | — |
case-13 | fail→pass | 3,950 | 4,921 | +25% | 1 | 1 | 0% | 645 | 1,281 | +99% | 0 | 0 | — |
case-14 | fail→pass | 2,851 | 4,956 | +74% | 1 | 1 | 0% | 604 | 1,350 | +124% | 0 | 0 | — |
case-15 | pass→pass | 5,738 | 3,884 | -32% | 1 | 1 | 0% | 1,015 | 1,063 | +5% | 0 | 0 | — |
case-16 | pass→pass | 3,425 | 4,959 | +45% | 1 | 1 | 0% | 636 | 1,327 | +109% | 0 | 0 | — |
case-17 | fail→pass | 2,636 | 4,400 | +67% | 1 | 1 | 0% | 426 | 1,224 | +187% | 0 | 0 | — |
case-18 | fail→pass | 4,130 | 5,000 | +21% | 1 | 1 | 0% | 412 | 1,313 | +219% | 0 | 0 | — |
case-19 | pass→pass | 8,888 | 5,747 | -35% | 1 | 1 | 0% | 1,597 | 1,416 | -11% | 0 | 0 | — |
case-20 | pass→pass | 13,245 | 6,506 | -51% | 1 | 1 | 0% | 1,974 | 1,551 | -21% | 0 | 0 | — |
case-21 | fail→pass | 6,552 | 5,716 | -13% | 1 | 1 | 0% | 1,231 | 1,473 | +20% | 0 | 0 | — |
case-22 | fail→fail | 2,663 | 4,567 | +71% | 1 | 1 | 0% | 552 | 1,275 | +131% | 0 | 0 | — |
case-23 | pass→pass | 6,370 | 4,863 | -24% | 1 | 1 | 0% | 989 | 1,241 | +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. 23 cases were attempted. The headline lift of +43 percentage points is the difference between those two pass rates over the 23 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.
| Model | Method | Date | Lift |
|---|---|---|---|
| gemini-3.6-flash | verified | 8/3/2026 | +36% |
Other measured skills in the registry, with their headline benchmark lift.