Loading skill
Install any skill in seconds. Free to start, no credit card required.
Get Started Free →Debug local Rust services in this repository by starting the crate's binary with debug logging, tailing service logs, and using those logs to answer runtime questions. Use when Codex needs to investigate service startup, runtime behavior, errors, or logs for a Rust binary in a crate.
.claude/skills/macro-inc-debug-service/SKILL.md| Test case | Without → With | Effect | Δ tokens | Δ turns |
|---|---|---|---|---|
| case-07 | ✗→✓ | ▲ Improved | -44% | 0% |
| case-08 | ✗→✓ | ▲ Improved | -60% | 0% |
| case-09 | ✗→✓ | ▲ Improved | -66% | 0% |
| case-10 | ✗→✓ | ▲ Improved | -74% | 0% |
| case-11 | ✗→✓ | ▲ Improved | -68% | 0% |
You are going to help me interactively debug the rust binary that's in this crate.
Use this command to start the service with debug logging
RUST_LOG=<name_of_bin>=debug,info just run > /tmp/<name_of_bin>.log 2>&1 & tail -f /tmp/<name_of_bin>.log
Use the log tail to answer questions as appropriate
| Case | Status | Duration (ms) | Turns | Tokens | Tool calls | ||||||||
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| Without | With | Δ | Without | With | Δ | Without | With | Δ | Without | With | Δ | ||
case-01 | fail→fail | 4,384 | 5,919 | +35% | 1 | 1 | 0% | 207 | 254 | +23% | 0 | 0 | — |
case-02 | fail→fail | 8,303 | 5,071 | -39% | 1 | 1 | 0% | 1,302 | 211 | -84% | 0 | 0 | — |
case-03 | fail→fail | 5,973 | 4,858 | -19% | 1 | 1 | 0% | 753 | 229 | -70% | 0 | 0 | — |
case-04 | pass→pass | 8,047 | 4,230 | -47% | 1 | 1 | 0% | 1,186 | 688 | -42% | 0 | 0 | — |
case-05 | pass→pass | 8,580 | 5,752 | -33% | 1 | 1 | 0% | 1,472 | 934 | -37% | 0 | 0 | — |
case-06 | pass→pass | 14,650 | 5,949 | -59% | 1 | 1 | 0% | 2,059 | 992 | -52% | 0 | 0 | — |
case-07 | fail→pass | 7,438 | 4,473 | -40% | 1 | 1 | 0% | 1,146 | 644 | -44% | 0 | 0 | — |
case-08 | fail→pass | 7,256 | 2,990 | -59% | 1 | 1 | 0% | 1,163 | 466 | -60% | 0 | 0 | — |
case-09 | fail→pass | 10,578 | 3,440 | -67% | 1 | 1 | 0% | 1,745 | 599 | -66% | 0 | 0 | — |
case-10 | fail→pass | 9,810 | 2,522 | -74% | 1 | 1 | 0% | 1,533 | 402 | -74% | 0 | 0 | — |
case-11 | fail→pass | 8,892 | 2,876 | -68% | 1 | 1 | 0% | 1,449 | 460 | -68% | 0 | 0 | — |
case-12 | fail→pass | 7,518 | 3,071 | -59% | 1 | 1 | 0% | 1,268 | 545 | -57% | 0 | 0 | — |
case-13 | fail→pass | 7,779 | 3,149 | -60% | 1 | 1 | 0% | 1,066 | 512 | -52% | 0 | 0 | — |
case-14 | fail→pass | 26,401 | 2,895 | -89% | 1 | 1 | 0% | 1,670 | 480 | -71% | 0 | 0 | — |
case-15 | fail→pass | 8,378 | 4,262 | -49% | 1 | 1 | 0% | 1,395 | 583 | -58% | 0 | 0 | — |
case-16 | fail→pass | 8,754 | 4,643 | -47% | 1 | 1 | 0% | 1,367 | 671 | -51% | 0 | 0 | — |
case-17 | fail→pass | 9,738 | 3,379 | -65% | 1 | 1 | 0% | 1,665 | 608 | -63% | 0 | 0 | — |
case-18 | fail→pass | 9,144 | 2,622 | -71% | 1 | 1 | 0% | 1,600 | 390 | -76% | 0 | 0 | — |
case-19 | fail→pass | 25,728 | 3,330 | -87% | 1 | 1 | 0% | 5,005 | 534 | -89% | 0 | 0 | — |
case-20 | fail→pass | 7,162 | 2,982 | -58% | 1 | 1 | 0% | 1,199 | 492 | -59% | 0 | 0 | — |
case-21 | fail→pass | 11,871 | 4,489 | -62% | 1 | 1 | 0% | 1,995 | 712 | -64% | 0 | 0 | — |
case-22 | fail→pass | 9,021 | 3,462 | -62% | 1 | 1 | 0% | 1,540 | 647 | -58% | 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 18 counted toward the lift figure. The other 4 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 +73 percentage points is the difference between those two pass rates over the 18 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.