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Get Started Free →风险评估方法，识别项目风险并制定应对策略
.claude/skills/echovic-scrum-master-risk-assessment/SKILL.md| Test case | Without → With | Effect | Δ tokens | Δ turns |
|---|---|---|---|---|
| case-01 | ✗→✓ | ▲ Improved | -5% | 0% |
| case-02 | ✗→✓ | ▲ Improved | -10% | 0% |
| case-03 | ✗→✓ | ▲ Improved | 11% | 0% |
| case-07 | ✗→✓ | ▲ Improved | -20% | 0% |
| case-08 | ✗→✓ | ▲ Improved | -14% | 0% |
| 风险类型 | 示例 | |----------|------| | 技术风险 | 新技术不熟悉、技术选型不当 | | 资源风险 | 人员不足、时间紧张 | | 需求风险 | 需求不明确、需求变更频繁 | | 依赖风险 | 外部API不稳定、第三方服务延迟 |
| 可能性 \ 影响 | 低 | 中 | 高 | |---------------|----|----|-----| | 高 | 中风险 | 高风险 | 高风险 | | 中 | 低风险 | 中风险 | 高风险 | | 低 | 低风险 | 低风险 | 中风险 |
| 策略 | 说明 | 适用场景 | |------|------|----------| | 规避 | 改变计划避免风险 | 高风险且可避免 | | 减轻 | 降低风险发生概率或影响 | 中高风险 | | 转移 | 将风险转移给第三方 | 外部依赖风险 | | 接受 | 接受风险并准备应对 | 低风险 |
| Case | Status | Duration (ms) | Turns | Tokens | Tool calls | ||||||||
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| Without | With | Δ | Without | With | Δ | Without | With | Δ | Without | With | Δ | ||
case-01 | fail→pass | 19,981 | 16,459 | -18% | 1 | 1 | 0% | 2,929 | 2,771 | -5% | 0 | 0 | — |
case-02 | fail→pass | 19,941 | 14,772 | -26% | 1 | 1 | 0% | 2,922 | 2,627 | -10% | 0 | 0 | — |
case-03 | fail→pass | 17,091 | 16,564 | -3% | 1 | 1 | 0% | 2,539 | 2,811 | +11% | 0 | 0 | — |
case-04 | pass→pass | 11,795 | 11,352 | -4% | 1 | 1 | 0% | 1,932 | 2,078 | +8% | 0 | 0 | — |
case-05 | pass→pass | 15,038 | 14,476 | -4% | 1 | 1 | 0% | 2,324 | 2,430 | +5% | 0 | 0 | — |
case-06 | pass→pass | 17,203 | 16,130 | -6% | 1 | 1 | 0% | 2,628 | 2,547 | -3% | 0 | 0 | — |
case-07 | fail→pass | 15,225 | 10,931 | -28% | 1 | 1 | 0% | 2,234 | 1,781 | -20% | 0 | 0 | — |
case-08 | fail→pass | 14,122 | 10,837 | -23% | 1 | 1 | 0% | 2,143 | 1,847 | -14% | 0 | 0 | — |
case-09 | fail→pass | 15,747 | 8,703 | -45% | 1 | 1 | 0% | 2,232 | 1,633 | -27% | 0 | 0 | — |
case-10 | pass→pass | 12,491 | 6,686 | -46% | 1 | 1 | 0% | 1,804 | 1,347 | -25% | 0 | 0 | — |
case-11 | fail→fail | 16,017 | 11,370 | -29% | 1 | 1 | 0% | 2,394 | 2,095 | -12% | 0 | 0 | — |
case-12 | fail→pass | 16,606 | 9,267 | -44% | 1 | 1 | 0% | 2,384 | 1,766 | -26% | 0 | 0 | — |
case-13 | pass→pass | 17,850 | 9,766 | -45% | 1 | 1 | 0% | 2,466 | 1,641 | -33% | 0 | 0 | — |
case-14 | pass→pass | 16,472 | 13,506 | -18% | 1 | 1 | 0% | 2,292 | 2,344 | +2% | 0 | 0 | — |
case-15 | fail→pass | 14,407 | 7,477 | -48% | 1 | 1 | 0% | 2,008 | 1,387 | -31% | 0 | 0 | — |
case-16 | pass→pass | 9,931 | 7,238 | -27% | 1 | 1 | 0% | 1,458 | 1,336 | -8% | 0 | 0 | — |
case-17 | pass→pass | 12,645 | 8,337 | -34% | 1 | 1 | 0% | 1,922 | 1,570 | -18% | 0 | 0 | — |
case-18 | pass→pass | 11,574 | 5,108 | -56% | 1 | 1 | 0% | 1,671 | 1,103 | -34% | 0 | 0 | — |
case-19 | fail→pass | 11,897 | 5,296 | -55% | 1 | 1 | 0% | 1,898 | 1,155 | -39% | 0 | 0 | — |
case-20 | fail→pass | 9,158 | 5,357 | -42% | 1 | 1 | 0% | 1,562 | 1,208 | -23% | 0 | 0 | — |
case-21 | pass→pass | 7,195 | 2,598 | -64% | 1 | 1 | 0% | 1,232 | 686 | -44% | 0 | 0 | — |
case-22 | fail→pass | 11,167 | 3,521 | -68% | 1 | 1 | 0% | 1,782 | 860 | -52% | 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 +50 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.