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Get Started Free →Find bugs, security vulnerabilities, and code quality issues in local branch changes. Use when asked to review changes, find bugs, security review, or audit code on the current branch.
.claude/skills/davila7-find-bugs/SKILL.md| Test case | Without → With | Effect | Δ tokens | Δ turns |
|---|---|---|---|---|
| case-03 | ✗→✓ | ▲ Improved | -39% | 0% |
| case-04 | ✗→✓ | ▲ Improved | -34% | 0% |
| case-05 | ✗→✓ | ▲ Improved | 3% | 0% |
| case-08 | ✗→✓ | ▲ Improved | -35% | 0% |
| case-16 | ✗→✓ | ▲ Improved | 10% | 0% |
Review changes on this branch for bugs, security vulnerabilities, and code quality issues.
git diff master...HEADFor each changed file, identify and list:
For each potential issue:
Before finalizing, you MUST:
Prioritize: security vulnerabilities > bugs > code quality
Skip: stylistic/formatting issues
For each issue:
If you find nothing significant, say so - don't invent issues.
Do not make changes - just report findings. I'll decide what to address.
| Case | Status | Duration (ms) | Turns | Tokens | Tool calls | ||||||||
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| Without | With | Δ | Without | With | Δ | Without | With | Δ | Without | With | Δ | ||
case-17 | pass→pass | 16,468 | 11,416 | -31% | 1 | 1 | 0% | 2,698 | 2,415 | -10% | 0 | 0 | — |
case-01 | fail→fail | 14,039 | 9,617 | -31% | 1 | 1 | 0% | 1,594 | 1,590 | -0% | 0 | 0 | — |
case-02 | fail→fail | 8,741 | 10,510 | +20% | 1 | 1 | 0% | 1,044 | 1,869 | +79% | 0 | 0 | — |
case-22 | pass→pass | 10,685 | 9,183 | -14% | 1 | 1 | 0% | 1,635 | 1,873 | +15% | 0 | 0 | — |
case-03 | fail→pass | 7,749 | 2,075 | -73% | 1 | 1 | 0% | 1,229 | 746 | -39% | 0 | 0 | — |
case-04 | fail→pass | 10,955 | 4,050 | -63% | 1 | 1 | 0% | 1,867 | 1,236 | -34% | 0 | 0 | — |
case-05 | fail→pass | 5,880 | 2,502 | -57% | 1 | 1 | 0% | 900 | 929 | +3% | 0 | 0 | — |
case-06 | pass→pass | 13,263 | 12,264 | -8% | 1 | 1 | 0% | 1,972 | 2,304 | +17% | 0 | 0 | — |
case-07 | pass→pass | 26,294 | 3,618 | -86% | 1 | 1 | 0% | 1,490 | 1,163 | -22% | 0 | 0 | — |
case-08 | fail→pass | 9,814 | 3,044 | -69% | 1 | 1 | 0% | 1,551 | 1,013 | -35% | 0 | 0 | — |
case-09 | pass→pass | 14,208 | 4,081 | -71% | 1 | 1 | 0% | 2,587 | 1,234 | -52% | 0 | 0 | — |
case-10 | pass→pass | 9,995 | 8,747 | -12% | 1 | 1 | 0% | 1,601 | 2,095 | +31% | 0 | 0 | — |
case-11 | pass→pass | 17,945 | 3,968 | -78% | 1 | 1 | 0% | 2,677 | 1,194 | -55% | 0 | 0 | — |
case-12 | pass→pass | 8,473 | 3,917 | -54% | 1 | 1 | 0% | 1,420 | 1,074 | -24% | 0 | 0 | — |
case-13 | pass→pass | 9,230 | 4,737 | -49% | 1 | 1 | 0% | 1,375 | 1,341 | -2% | 0 | 0 | — |
case-14 | fail→fail | 9,058 | 7,539 | -17% | 1 | 1 | 0% | 1,513 | 1,721 | +14% | 0 | 0 | — |
case-15 | pass→pass | 16,348 | 15,559 | -5% | 1 | 1 | 0% | 2,717 | 3,096 | +14% | 0 | 0 | — |
case-16 | fail→pass | 15,666 | 13,212 | -16% | 1 | 1 | 0% | 2,317 | 2,541 | +10% | 0 | 0 | — |
case-18 | fail→fail | 15,156 | 11,228 | -26% | 1 | 1 | 0% | 2,393 | 2,428 | +1% | 0 | 0 | — |
case-19 | pass→pass | 8,458 | 3,678 | -57% | 1 | 1 | 0% | 1,245 | 1,130 | -9% | 0 | 0 | — |
case-20 | pass→pass | 13,599 | 13,014 | -4% | 1 | 1 | 0% | 2,092 | 2,654 | +27% | 0 | 0 | — |
case-21 | pass→pass | 9,694 | 6,716 | -31% | 1 | 1 | 0% | 1,501 | 1,417 | -6% | 0 | 0 | — |
case-23 | fail→pass | 4,526 | 10,898 | +141% | 1 | 1 | 0% | 713 | 2,570 | +260% | 0 | 0 | — |
case-24 | pass→pass | 18,767 | 19,365 | +3% | 1 | 1 | 0% | 3,616 | 4,523 | +25% | 0 | 0 | — |
case-25 | pass→pass | 10,858 | 12,466 | +15% | 1 | 1 | 0% | 1,875 | 2,933 | +56% | 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. 25 cases were attempted. The headline lift of +24 percentage points is the difference between those two pass rates over the 25 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.