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Get Started Free →Decode an OBD-II diagnostic trouble code (DTC) using the CarsXE API. Use this when a user mentions a check engine light code, DTC, or OBD code like P0300, C1234, B0001, or U0100.
.claude/skills/hashgraph-online-obd-decoder/SKILL.md| Test case | Without → With | Effect | Δ tokens | Δ turns |
|---|---|---|---|---|
| case-21 | ✗→✓ | ▲ Improved | 43% | 0% |
| case-08 | ✗→✓ | ▲ Improved | 272% | 0% |
| case-09 | ✗→✓ | ▲ Improved | -20% | 0% |
| case-11 | ✗→✓ | ▲ Improved | 77% | 0% |
| case-15 | ✗→✓ | ▲ Improved | -30% | 0% |
When the user mentions an OBD/DTC code and wants to know what it means:
GET https://api.carsxe.com/obdcodesdecoder?key={CARSXE_API_KEY}&code={CODE}&source=codex_plugin
CARSXE_API_KEY environment variable (see AGENTS.md).| Case | Status | Duration (ms) | Turns | Tokens | Tool calls | ||||||||
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| Without | With | Δ | Without | With | Δ | Without | With | Δ | Without | With | Δ | ||
case-21 | fail→pass | 14,576 | 18,672 | +28% | 1 | 1 | 0% | 1,847 | 2,635 | +43% | 0 | 0 | — |
case-20 | pass→pass | 13,821 | 15,706 | +14% | 1 | 1 | 0% | 2,136 | 2,694 | +26% | 0 | 0 | — |
case-01 | fail→fail | 21,983 | 37,560 | +71% | 1 | 1 | 0% | 2,400 | 2,740 | +14% | 0 | 0 | — |
case-02 | fail→fail | 25,551 | 23,003 | -10% | 1 | 1 | 0% | 2,684 | 2,555 | -5% | 0 | 0 | — |
case-03 | fail→fail | 13,835 | 19,020 | +37% | 1 | 1 | 0% | 2,147 | 1,535 | -29% | 0 | 0 | — |
case-04 | pass→pass | 15,318 | 14,123 | -8% | 1 | 1 | 0% | 1,943 | 1,779 | -8% | 0 | 0 | — |
case-05 | pass→pass | 14,615 | 12,066 | -17% | 1 | 1 | 0% | 1,504 | 1,124 | -25% | 0 | 0 | — |
case-06 | pass→pass | 24,445 | 23,598 | -3% | 1 | 1 | 0% | 3,442 | 2,715 | -21% | 0 | 0 | — |
case-07 | pass→pass | 13,898 | 14,169 | +2% | 1 | 1 | 0% | 2,407 | 2,082 | -14% | 0 | 0 | — |
case-18 | pass→pass | 11,609 | 17,368 | +50% | 1 | 1 | 0% | 1,792 | 2,547 | +42% | 0 | 0 | — |
case-08 | fail→pass | 10,376 | 18,236 | +76% | 1 | 1 | 0% | 669 | 2,489 | +272% | 0 | 0 | — |
case-09 | fail→pass | 24,261 | 13,841 | -43% | 1 | 1 | 0% | 2,713 | 2,178 | -20% | 0 | 0 | — |
case-10 | pass→pass | 16,144 | 13,207 | -18% | 1 | 1 | 0% | 1,727 | 2,402 | +39% | 0 | 0 | — |
case-11 | fail→pass | 12,019 | 29,049 | +142% | 1 | 1 | 0% | 1,926 | 3,406 | +77% | 0 | 0 | — |
case-12 | pass→pass | 17,364 | 18,979 | +9% | 1 | 1 | 0% | 1,893 | 2,740 | +45% | 0 | 0 | — |
case-19 | pass→pass | 13,357 | 11,949 | -11% | 1 | 1 | 0% | 2,164 | 2,085 | -4% | 0 | 0 | — |
case-13 | pass→pass | 11,494 | 17,074 | +49% | 1 | 1 | 0% | 973 | 1,499 | +54% | 0 | 0 | — |
case-14 | pass→pass | 16,878 | 21,305 | +26% | 1 | 1 | 0% | 1,940 | 2,985 | +54% | 0 | 0 | — |
case-15 | fail→pass | 19,839 | 14,335 | -28% | 1 | 1 | 0% | 2,453 | 1,725 | -30% | 0 | 0 | — |
case-16 | fail→pass | 12,192 | 11,904 | -2% | 1 | 1 | 0% | 1,938 | 1,351 | -30% | 0 | 0 | — |
case-17 | pass→pass | 18,174 | 25,412 | +40% | 1 | 1 | 0% | 2,480 | 2,202 | -11% | 0 | 0 | — |
case-22 | pass→pass | 16,756 | 19,925 | +19% | 1 | 1 | 0% | 1,834 | 3,843 | +110% | 0 | 0 | — |
case-23 | fail→fail | 25,267 | 7,339 | -71% | 1 | 1 | 0% | 1,940 | 524 | -73% | 0 | 0 | — |
case-24 | pass→pass | 13,048 | 11,675 | -11% | 1 | 1 | 0% | 2,118 | 2,037 | -4% | 0 | 0 | — |
case-25 | pass→pass | 12,674 | 26,328 | +108% | 1 | 1 | 0% | 1,655 | 3,186 | +93% | 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, and 24 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 +24 percentage points is the difference between those two pass rates over the 24 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.