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Get Started Free →Route table viewer with multiple output formats. Display network routing table in CSV, TSV, or raw format. **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-route/SKILL.md| Test case | Without → With | Effect | Δ tokens | Δ turns |
|---|---|---|---|---|
| case-01 | ✗→✓ | ▲ Improved | -4% | 0% |
| case-02 | ✗→✓ | ▲ Improved | -25% | 0% |
| case-03 | ✗→✓ | ▲ Improved | -44% | 0% |
| case-05 | ✗→✓ | ▲ Improved | -57% | 0% |
| case-07 | ✗→✓ | ▲ Improved | -55% | 0% |
> Display network routing table with multiple output formats.
bash# Display route table (default) x route # CSV format x route --csv # TSV format x route --tsv
| Command | Description | |---------|-------------| | x route | Display route table (default) | | x route ls | Display route table | | x route ls --csv | Output in CSV format | | x route ls --tsv | Output in TSV format | | x route ls --raw | Output in raw format |
bash# Default route table view x route # CSV format for processing x route --csv # TSV format x route --tsv # Raw format x route --raw
bash# Filter routes x route --csv | x csv sql "SELECT * WHERE destination LIKE '192.168%'" # Parse with awk x route --tsv | awk -F'\t' 'NR>1 {print $1, $2}'
Typical fields include:
| Field | Description | |-------|-------------| | Destination | Target network or host | | Gateway | Next hop router | | Genmask | Netmask | | Flags | Route flags | | Metric | Route metric/cost | | Ref | Reference count | | Use | Route usage | | Iface | Network interface |
ip route or route commandnetstat -rn or route commandroute print command| Case | Status | Duration (ms) | Turns | Tokens | Tool calls | ||||||||
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| Without | With | Δ | Without | With | Δ | Without | With | Δ | Without | With | Δ | ||
case-01 | fail→pass | 5,652 | 3,013 | -47% | 1 | 1 | 0% | 852 | 819 | -4% | 0 | 0 | — |
case-02 | fail→pass | 8,670 | 2,635 | -70% | 1 | 1 | 0% | 1,018 | 760 | -25% | 0 | 0 | — |
case-03 | fail→pass | 8,837 | 3,156 | -64% | 1 | 1 | 0% | 1,519 | 850 | -44% | 0 | 0 | — |
case-04 | pass→pass | 7,530 | 2,966 | -61% | 1 | 1 | 0% | 1,063 | 852 | -20% | 0 | 0 | — |
case-05 | fail→pass | 18,741 | 3,517 | -81% | 1 | 1 | 0% | 2,145 | 931 | -57% | 0 | 0 | — |
case-06 | pass→pass | 13,061 | 15,490 | +19% | 1 | 1 | 0% | 2,030 | 1,592 | -22% | 0 | 0 | — |
case-07 | fail→pass | 11,636 | 3,130 | -73% | 1 | 1 | 0% | 1,949 | 875 | -55% | 0 | 0 | — |
case-08 | pass→pass | 16,446 | 2,637 | -84% | 1 | 1 | 0% | 2,680 | 806 | -70% | 0 | 0 | — |
case-09 | pass→pass | 10,157 | 4,805 | -53% | 1 | 1 | 0% | 1,330 | 1,142 | -14% | 0 | 0 | — |
case-10 | pass→pass | 9,906 | 3,348 | -66% | 1 | 1 | 0% | 1,348 | 922 | -32% | 0 | 0 | — |
case-11 | pass→pass | 10,618 | 2,677 | -75% | 1 | 1 | 0% | 1,706 | 711 | -58% | 0 | 0 | — |
case-12 | pass→pass | 10,643 | 17,212 | +62% | 1 | 1 | 0% | 1,617 | 1,882 | +16% | 0 | 0 | — |
case-13 | pass→pass | 4,466 | 2,713 | -39% | 1 | 1 | 0% | 736 | 779 | +6% | 0 | 0 | — |
case-14 | pass→pass | 7,206 | 4,605 | -36% | 1 | 1 | 0% | 983 | 939 | -4% | 0 | 0 | — |
case-15 | pass→pass | 5,950 | 2,630 | -56% | 1 | 1 | 0% | 894 | 701 | -22% | 0 | 0 | — |
case-16 | pass→pass | 9,866 | 7,660 | -22% | 1 | 1 | 0% | 1,390 | 1,347 | -3% | 0 | 0 | — |
case-17 | pass→pass | 8,771 | 3,474 | -60% | 1 | 1 | 0% | 1,132 | 877 | -23% | 0 | 0 | — |
case-18 | fail→pass | 7,064 | 3,662 | -48% | 1 | 1 | 0% | 1,079 | 978 | -9% | 0 | 0 | — |
case-19 | pass→pass | 36,962 | 3,248 | -91% | 1 | 1 | 0% | 3,564 | 752 | -79% | 0 | 0 | — |
case-20 | pass→pass | 10,365 | 8,953 | -14% | 1 | 1 | 0% | 1,368 | 1,407 | +3% | 0 | 0 | — |
case-21 | pass→pass | 10,211 | 9,079 | -11% | 1 | 1 | 0% | 1,807 | 2,147 | +19% | 0 | 0 | — |
case-22 | pass→pass | 11,025 | 11,103 | +1% | 1 | 1 | 0% | 1,925 | 2,020 | +5% | 0 | 0 | — |
case-23 | pass→pass | 9,710 | 6,473 | -33% | 1 | 1 | 0% | 1,504 | 1,499 | -0% | 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. 23 cases were attempted. The headline lift of +26 percentage points is the difference between those two pass rates over the 23 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.