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Get Started Free →Checks that all system components are properly configured and operational. Verifies Elixir/Mix installation, engine compilation, SQLite database, folder structure, and MCP server connectivity. Reports issues with specific remediation steps.
.claude/skills/miosa-osa-doctor/SKILL.md| Test case | Without → With | Effect | Δ tokens | Δ turns |
|---|---|---|---|---|
| case-04 | ✗→✓ | ▲ Improved | -56% | 0% |
| case-05 | ✗→✓ | ▲ Improved | -69% | 0% |
| case-06 | ✗→✓ | ▲ Improved | -54% | 0% |
| case-07 | ✗→✓ | ▲ Improved | -66% | 0% |
| case-09 | ✗→✓ | ▲ Improved | -51% | 0% |
> Diagnose and repair system issues -- dependencies, config, engine health.
/doctor [--fix]Checks that all system components are properly configured and operational. Verifies Elixir/Mix installation, engine compilation, SQLite database, folder structure, and MCP server connectivity. Reports issues with specific remediation steps.
elixir --version, mix --version.cd engine && mix compile succeeds.cd engine && mix deps.get up to date.With --fix: attempt to repair issues automatically (install deps, create missing files, rebuild index).
bash# Check system health /doctor # Check and auto-fix issues /doctor --fix
| Case | Status | Duration (ms) | Turns | Tokens | Tool calls | ||||||||
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| Without | With | Δ | Without | With | Δ | Without | With | Δ | Without | With | Δ | ||
case-17 | pass→pass | 16,856 | 16,922 | +0% | 1 | 1 | 0% | 2,861 | 3,187 | +11% | 0 | 0 | — |
case-01 | fail→fail | 18,675 | 7,447 | -60% | 1 | 1 | 0% | 3,543 | 867 | -76% | 0 | 0 | — |
case-02 | fail→fail | 10,301 | 5,526 | -46% | 1 | 1 | 0% | 1,594 | 989 | -38% | 0 | 0 | — |
case-03 | fail→fail | 12,501 | 2,512 | -80% | 1 | 1 | 0% | 762 | 602 | -21% | 0 | 0 | — |
case-04 | fail→pass | 12,397 | 3,118 | -75% | 1 | 1 | 0% | 1,788 | 791 | -56% | 0 | 0 | — |
case-05 | fail→pass | 9,628 | 1,906 | -80% | 1 | 1 | 0% | 1,698 | 518 | -69% | 0 | 0 | — |
case-06 | fail→pass | 17,651 | 6,123 | -65% | 1 | 1 | 0% | 2,761 | 1,269 | -54% | 0 | 0 | — |
case-07 | fail→pass | 11,415 | 2,388 | -79% | 1 | 1 | 0% | 1,596 | 542 | -66% | 0 | 0 | — |
case-08 | pass→pass | 9,851 | 1,851 | -81% | 1 | 1 | 0% | 1,437 | 501 | -65% | 0 | 0 | — |
case-09 | fail→pass | 10,839 | 4,019 | -63% | 1 | 1 | 0% | 1,620 | 791 | -51% | 0 | 0 | — |
case-10 | fail→pass | 13,958 | 2,161 | -85% | 1 | 1 | 0% | 2,230 | 581 | -74% | 0 | 0 | — |
case-11 | fail→pass | 11,788 | 2,620 | -78% | 1 | 1 | 0% | 1,687 | 608 | -64% | 0 | 0 | — |
case-12 | pass→pass | 14,640 | 4,071 | -72% | 1 | 1 | 0% | 2,550 | 819 | -68% | 0 | 0 | — |
case-13 | pass→pass | 18,105 | 9,501 | -48% | 1 | 1 | 0% | 2,877 | 1,840 | -36% | 0 | 0 | — |
case-14 | pass→pass | 12,053 | 2,233 | -81% | 1 | 1 | 0% | 1,834 | 577 | -69% | 0 | 0 | — |
case-15 | pass→pass | 16,812 | 10,888 | -35% | 1 | 1 | 0% | 2,429 | 1,944 | -20% | 0 | 0 | — |
case-16 | pass→pass | 8,576 | 11,832 | +38% | 1 | 1 | 0% | 1,748 | 2,623 | +50% | 0 | 0 | — |
case-18 | pass→pass | 8,989 | 8,584 | -5% | 1 | 1 | 0% | 1,692 | 1,857 | +10% | 0 | 0 | — |
case-19 | fail→pass | 13,962 | 3,482 | -75% | 1 | 1 | 0% | 2,254 | 911 | -60% | 0 | 0 | — |
case-20 | fail→pass | 12,803 | 2,724 | -79% | 1 | 1 | 0% | 1,988 | 705 | -65% | 0 | 0 | — |
case-21 | pass→pass | 7,714 | 3,983 | -48% | 1 | 1 | 0% | 1,072 | 719 | -33% | 0 | 0 | — |
case-22 | pass→pass | 9,540 | 4,764 | -50% | 1 | 1 | 0% | 1,189 | 850 | -29% | 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 +41 percentage points is the difference between those two pass rates over the 21 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.