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Get Started Free →Calculate portfolio risk metrics including VaR, CVaR, Sharpe, Sortino, and drawdown analysis. Use when measuring portfolio risk, implementing risk limits, or building risk monitoring systems.
.claude/skills/dokhacgiakhoa-risk-metrics-calculation/SKILL.md| Test case | Without → With | Effect | Δ tokens | Δ turns |
|---|---|---|---|---|
| case-03 | ✓→✓ | ＝ Same ✓ | 81% | 0% |
| case-04 | ✓→✓ | ＝ Same ✓ | -6% | 0% |
| case-05 | ✓→✓ | ＝ Same ✓ | 4% | 0% |
| case-02 | ✗→✗ | ＝ Same ✗ | 19% | 0% |
| case-01 | ✗→✗ | ＝ Same ✗ | 3% | 0% |
Comprehensive risk measurement toolkit for portfolio management, including Value at Risk, Expected Shortfall, and drawdown analysis.
resources/implementation-playbook.md.resources/implementation-playbook.md for detailed patterns and examples.| Case | Status | Duration (ms) | Turns | Tokens | Tool calls | ||||||||
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| Without | With | Δ | Without | With | Δ | Without | With | Δ | Without | With | Δ | ||
case-02 | fail→fail | 31,455 | 33,358 | +6% | 1 | 1 | 0% | 3,827 | 4,561 | +19% | 0 | 0 | — |
case-03 | pass→pass | 19,052 | 32,720 | +72% | 1 | 1 | 0% | 4,085 | 7,407 | +81% | 0 | 0 | — |
case-04 | pass→pass | 57,404 | 24,161 | -58% | 1 | 1 | 0% | 4,021 | 3,793 | -6% | 0 | 0 | — |
case-05 | pass→pass | 20,938 | 19,763 | -6% | 1 | 1 | 0% | 3,071 | 3,181 | +4% | 0 | 0 | — |
case-01 | fail→fail | 43,167 | 34,589 | -20% | 1 | 1 | 0% | 5,744 | 5,936 | +3% | 0 | 0 | — |
case-06 | fail→fail | 31,786 | 36,975 | +16% | 1 | 1 | 0% | 4,268 | 5,094 | +19% | 0 | 0 | — |
case-07 | fail→fail | 22,551 | 23,421 | +4% | 1 | 1 | 0% | 3,711 | 3,451 | -7% | 0 | 0 | — |
case-08 | fail→fail | 45,462 | 35,018 | -23% | 1 | 1 | 0% | 8,227 | 4,019 | -51% | 0 | 0 | — |
case-09 | fail→fail | 46,654 | 29,652 | -36% | 1 | 1 | 0% | 4,569 | 4,914 | +8% | 0 | 0 | — |
case-10 | fail→fail | 20,990 | 23,927 | +14% | 1 | 1 | 0% | 3,792 | 3,762 | -1% | 0 | 0 | — |
case-11 | fail→fail | 27,527 | 24,917 | -9% | 1 | 1 | 0% | 3,865 | 3,785 | -2% | 0 | 0 | — |
case-12 | fail→fail | 27,738 | 29,730 | +7% | 1 | 1 | 0% | 4,300 | 4,757 | +11% | 0 | 0 | — |
case-13 | fail→fail | 30,637 | 31,838 | +4% | 1 | 1 | 0% | 3,955 | 4,843 | +22% | 0 | 0 | — |
case-14 | fail→fail | 25,389 | 32,432 | +28% | 1 | 1 | 0% | 4,095 | 4,395 | +7% | 0 | 0 | — |
case-15 | fail→fail | 22,825 | 29,445 | +29% | 1 | 1 | 0% | 3,724 | 4,722 | +27% | 0 | 0 | — |
case-16 | fail→fail | 26,397 | 25,606 | -3% | 1 | 1 | 0% | 4,071 | 4,201 | +3% | 0 | 0 | — |
case-17 | fail→fail | 25,435 | 25,505 | +0% | 1 | 1 | 0% | 3,520 | 4,753 | +35% | 0 | 0 | — |
case-18 | fail→fail | 25,569 | 21,028 | -18% | 1 | 1 | 0% | 3,844 | 4,436 | +15% | 0 | 0 | — |
case-19 | fail→fail | 28,948 | 21,381 | -26% | 1 | 1 | 0% | 4,119 | 4,109 | -0% | 0 | 0 | — |
case-20 | fail→fail | 27,528 | 54,669 | +99% | 1 | 1 | 0% | 4,077 | 4,370 | +7% | 0 | 0 | — |
case-21 | fail→fail | 32,300 | 35,915 | +11% | 1 | 1 | 0% | 5,025 | 6,131 | +22% | 0 | 0 | — |
case-22 | fail→fail | 21,863 | 19,884 | -9% | 1 | 1 | 0% | 2,982 | 4,011 | +35% | 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 0 percentage points is the difference between those two pass rates over the 22 comparable cases.
Other measured skills in the registry, with their headline benchmark lift.