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Get Started Free →Add field definitions to existing research outline.
.claude/skills/weizhena-research-add-fields/SKILL.md| Test case | Without → With | Effect | Δ tokens | Δ turns |
|---|---|---|---|---|
| case-07 | ✗→✓ | ▲ Improved | -71% | 0% |
| case-08 | ✗→✓ | ▲ Improved | -74% | 0% |
| case-13 | ✗→✓ | ▲ Improved | -70% | 0% |
| case-14 | ✗→✓ | ▲ Improved | -40% | 0% |
| case-16 | ✗→✓ | ▲ Improved | 7% | 0% |
/research-add-fields
在当前工作目录查找 */fields.yaml 文件，自动读取现有fields定义。
询问用户选择：
将确认的字段追加到fields.yaml，保存文件。
更新后的 {topic}/fields.yaml 文件（原地修改，需用户确认）
| Case | Status | Duration (ms) | Turns | Tokens | Tool calls | ||||||||
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| Without | With | Δ | Without | With | Δ | Without | With | Δ | Without | With | Δ | ||
case-01 | fail→fail | 5,078 | 2,196 | -57% | 1 | 1 | 0% | 758 | 449 | -41% | 0 | 0 | — |
case-02 | fail→fail | 3,318 | 4,730 | +43% | 1 | 1 | 0% | 626 | 989 | +58% | 0 | 0 | — |
case-03 | fail→fail | 3,152 | 1,755 | -44% | 1 | 1 | 0% | 180 | 397 | +121% | 0 | 0 | — |
case-04 | pass→pass | 14,996 | 15,278 | +2% | 1 | 1 | 0% | 3,282 | 3,199 | -3% | 0 | 0 | — |
case-05 | pass→pass | 8,449 | 9,230 | +9% | 1 | 1 | 0% | 1,512 | 1,858 | +23% | 0 | 0 | — |
case-15 | fail→fail | 8,041 | 1,852 | -77% | 1 | 1 | 0% | 1,420 | 471 | -67% | 0 | 0 | — |
case-06 | pass→pass | 17,490 | 4,636 | -73% | 1 | 1 | 0% | 3,218 | 492 | -85% | 0 | 0 | — |
case-07 | fail→pass | 10,809 | 2,048 | -81% | 1 | 1 | 0% | 1,709 | 501 | -71% | 0 | 0 | — |
case-08 | fail→pass | 13,024 | 2,164 | -83% | 1 | 1 | 0% | 2,156 | 552 | -74% | 0 | 0 | — |
case-09 | fail→fail | 9,869 | 6,063 | -39% | 1 | 1 | 0% | 1,800 | 1,297 | -28% | 0 | 0 | — |
case-10 | pass→pass | 10,861 | 7,423 | -32% | 1 | 1 | 0% | 1,805 | 1,580 | -12% | 0 | 0 | — |
case-11 | fail→fail | 10,894 | 2,836 | -74% | 1 | 1 | 0% | 1,908 | 454 | -76% | 0 | 0 | — |
case-12 | pass→pass | 3,033 | 2,541 | -16% | 1 | 1 | 0% | 485 | 581 | +20% | 0 | 0 | — |
case-13 | fail→pass | 11,438 | 3,030 | -74% | 1 | 1 | 0% | 1,919 | 571 | -70% | 0 | 0 | — |
case-14 | fail→pass | 7,781 | 3,982 | -49% | 1 | 1 | 0% | 1,334 | 796 | -40% | 0 | 0 | — |
case-16 | fail→pass | 14,513 | 13,306 | -8% | 1 | 1 | 0% | 2,743 | 2,926 | +7% | 0 | 0 | — |
case-17 | pass→pass | 9,402 | 3,068 | -67% | 1 | 1 | 0% | 1,404 | 707 | -50% | 0 | 0 | — |
case-18 | fail→pass | 3,599 | 3,579 | -1% | 1 | 1 | 0% | 587 | 794 | +35% | 0 | 0 | — |
case-19 | pass→pass | 4,943 | 3,432 | -31% | 1 | 1 | 0% | 877 | 781 | -11% | 0 | 0 | — |
case-20 | fail→pass | 7,885 | 4,553 | -42% | 1 | 1 | 0% | 1,350 | 1,000 | -26% | 0 | 0 | — |
case-21 | fail→pass | 6,007 | 5,622 | -6% | 1 | 1 | 0% | 934 | 1,079 | +16% | 0 | 0 | — |
case-22 | pass→pass | 22,301 | 2,505 | -89% | 1 | 1 | 0% | 3,862 | 617 | -84% | 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, and 21 counted toward the lift figure. The other 1 produced results that are not comparable between the two arms, so they are excluded from the headline rather than averaged into it. The headline lift of +36 percentage points is the difference between those two pass rates over the 21 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.