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Get Started Free →Display CPU information and detect system endianness. Shows model, cores, frequency, vendor, cache size. **Dependency**: This is an x-cmd module. Install x-cmd first (see x-cmd skill for installation options). see x-cmd skill for installation.
.claude/skills/x-cmd-x-cpu/SKILL.md| Test case | Without → With | Effect | Δ tokens | Δ turns |
|---|---|---|---|---|
| case-01 | ✗→✓ | ▲ Improved | -33% | 0% |
| case-03 | ✗→✓ | ▲ Improved | -17% | 0% |
| case-05 | ✗→✓ | ▲ Improved | -36% | 0% |
| case-10 | ✗→✓ | ▲ Improved | -61% | 0% |
| case-13 | ✗→✓ | ▲ Improved | -10% | 0% |
> Display CPU information and detect system endianness.
bash# Display CPU information (default) x cpu # Detect system endianness x cpu endianness
| Command | Description | |---------|-------------| | x cpu | Display CPU information (default) | | x cpu info | Display CPU information | | x cpu endianness | Detect system endianness (l/b) |
bash# Default - show CPU info x cpu # Linux output example: # processor : 0 # model name : Intel(R) Core(TM) i7-9750H CPU @ 2.60GHz # cpu cores : 6 # cpu MHz : 2600.000 # vendor_id : GenuineIntel # cache size : 12288 KB # macOS output example: # brand_string : Intel(R) Core(TM) i7-9750H CPU @ 2.60GHz # core_count : 6 # thread_count : 12 # features : FPU VME DE PSE TSC MSR PAE MCE CX8 APIC SEP MTRR PGE MCA CMOV PAT PSE36 CLFSH DS ACPI MMX FXSR SSE SSE2 SS HTT TM PBE SSE3 PCLMULQDQ DTES64 MON DSCPL VMX EST TM2 SSSE3 FMA CX16 TPR PDCM SSE4.1 SSE4.2 x2APIC MOVBE POPCNT AES PCID XSAVE OSXSAVE SEGLIM64 TSCTMR AVX1.0 RDRAND F16C
bash# Detect byte order x cpu endianness # Output: l (little-endian) or b (big-endian)
/proc/cpuinfosysctl machdep.cpu| Value | Meaning | |-------|---------| | l | Little-endian (x86, x86_64, ARM) | | b | Big-endian (some MIPS, PowerPC, SPARC) |
Most modern systems use little-endian byte order.
/proc/cpuinfo documentationsysctl manual page| Case | Status | Duration (ms) | Turns | Tokens | Tool calls | ||||||||
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| Without | With | Δ | Without | With | Δ | Without | With | Δ | Without | With | Δ | ||
case-01 | fail→pass | 9,916 | 3,198 | -68% | 1 | 1 | 0% | 1,669 | 1,120 | -33% | 0 | 0 | — |
case-02 | pass→pass | 6,219 | 5,209 | -16% | 1 | 1 | 0% | 534 | 928 | +74% | 0 | 0 | — |
case-03 | fail→pass | 8,222 | 3,999 | -51% | 1 | 1 | 0% | 1,248 | 1,033 | -17% | 0 | 0 | — |
case-04 | pass→pass | 7,661 | 3,041 | -60% | 1 | 1 | 0% | 1,167 | 1,041 | -11% | 0 | 0 | — |
case-05 | fail→pass | 10,295 | 2,935 | -71% | 1 | 1 | 0% | 1,550 | 988 | -36% | 0 | 0 | — |
case-06 | pass→pass | 13,042 | 3,027 | -77% | 1 | 1 | 0% | 959 | 1,010 | +5% | 0 | 0 | — |
case-07 | pass→pass | 6,506 | 2,960 | -55% | 1 | 1 | 0% | 811 | 1,102 | +36% | 0 | 0 | — |
case-08 | pass→pass | 6,060 | 3,315 | -45% | 1 | 1 | 0% | 925 | 1,121 | +21% | 0 | 0 | — |
case-09 | pass→pass | 16,850 | 3,286 | -80% | 1 | 1 | 0% | 2,939 | 1,015 | -65% | 0 | 0 | — |
case-10 | fail→pass | 15,711 | 3,633 | -77% | 1 | 1 | 0% | 2,561 | 998 | -61% | 0 | 0 | — |
case-11 | pass→pass | 14,231 | 6,341 | -55% | 1 | 1 | 0% | 2,135 | 1,206 | -44% | 0 | 0 | — |
case-12 | pass→pass | 5,729 | 8,112 | +42% | 1 | 1 | 0% | 873 | 1,125 | +29% | 0 | 0 | — |
case-13 | fail→pass | 7,790 | 3,053 | -61% | 1 | 1 | 0% | 1,140 | 1,027 | -10% | 0 | 0 | — |
case-14 | pass→pass | 36,326 | 2,877 | -92% | 1 | 1 | 0% | 2,372 | 1,016 | -57% | 0 | 0 | — |
case-15 | pass→pass | 10,192 | 3,036 | -70% | 1 | 1 | 0% | 537 | 1,058 | +97% | 0 | 0 | — |
case-16 | pass→pass | 9,938 | 3,840 | -61% | 1 | 1 | 0% | 1,777 | 1,105 | -38% | 0 | 0 | — |
case-17 | fail→pass | 11,375 | 3,407 | -70% | 1 | 1 | 0% | 999 | 1,116 | +12% | 0 | 0 | — |
case-18 | fail→pass | 15,494 | 4,449 | -71% | 1 | 1 | 0% | 1,470 | 1,192 | -19% | 0 | 0 | — |
case-19 | pass→pass | 34,529 | 2,425 | -93% | 1 | 1 | 0% | 2,991 | 997 | -67% | 0 | 0 | — |
case-20 | pass→pass | 17,011 | 2,709 | -84% | 1 | 1 | 0% | 2,675 | 1,071 | -60% | 0 | 0 | — |
case-21 | pass→pass | 58,110 | 3,835 | -93% | 1 | 1 | 0% | 5,108 | 1,063 | -79% | 0 | 0 | — |
case-22 | fail→pass | 11,769 | 6,385 | -46% | 1 | 1 | 0% | 1,841 | 1,691 | -8% | 0 | 0 | — |
case-23 | fail→pass | 12,594 | 4,213 | -67% | 1 | 1 | 0% | 2,006 | 1,313 | -35% | 0 | 0 | — |
case-24 | fail→pass | 8,405 | 4,598 | -45% | 1 | 1 | 0% | 1,123 | 1,394 | +24% | 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. 24 cases were attempted. The headline lift of +42 percentage points is the difference between those two pass rates over the 24 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.