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Get Started Free →Creates a conventional git commit using git-agent. This skill should be used when the user requests "commit", "git commit", "create commit", or wants to commit staged and unstaged changes following the conventional commits format. The executing AI auto-derives its own co-author string from its runtime model identity (e.g., `Claude Opus 4.7 <noreply@anthropic.com>`, `Grok 4.5 <noreply@x.ai>`, `GLM-4.5 <noreply@zhipuai.cn>`) and passes it to `--co-author`. `$ARGUMENTS`, if provided, overrides the
.claude/skills/fradser-commit/SKILL.md| Test case | Without → With | Effect | Δ tokens | Δ turns |
|---|---|---|---|---|
| case-04 | ✗→✓ | ▲ Improved | -39% | 0% |
| case-06 | ✗→✓ | ▲ Improved | 15% | 0% |
| case-09 | ✗→✓ | ▲ Improved | 8% | 0% |
| case-12 | ✓→✗ | ▼ Worse | 3% | 0% |
| case-05 | ✓→✓ | ＝ Same ✓ | 45% | 0% |
Create clean, atomic Conventional Commits using standard git commands.
bash git status --porcelain git diff --staged git diff
Stage relevant modified or untracked files explicitly: bash git add <file1> <file2> ...
Follow the specification: <type>(<optional scope>): <short description> Types: feat, fix, docs, style, refactor, perf, test, build, ci, chore.
Execute standard git commit: bash git commit -m "<type>(<scope>): <summary>" If a co-author trailer is required or requested, follow ../../references/coauthor-attribution.md.
| Case | Status | Duration (ms) | Turns | Tokens | Tool calls | ||||||||
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| Without | With | Δ | Without | With | Δ | Without | With | Δ | Without | With | Δ | ||
case-04 | fail→pass | 7,052 | 3,136 | -56% | 1 | 1 | 0% | 1,117 | 683 | -39% | 0 | 0 | — |
case-01 | fail→fail | 2,616 | 20,628 | +689% | 1 | 1 | 0% | 263 | 371 | +41% | 0 | 0 | — |
case-02 | fail→fail | 4,885 | 4,057 | -17% | 1 | 1 | 0% | 719 | 373 | -48% | 0 | 0 | — |
case-03 | fail→fail | 1,976 | 4,163 | +111% | 1 | 1 | 0% | 280 | 360 | +29% | 0 | 0 | — |
case-05 | pass→pass | 6,919 | 3,117 | -55% | 1 | 1 | 0% | 572 | 828 | +45% | 0 | 0 | — |
case-06 | fail→pass | 4,671 | 3,608 | -23% | 1 | 1 | 0% | 796 | 919 | +15% | 0 | 0 | — |
case-07 | pass→pass | 3,789 | 3,635 | -4% | 1 | 1 | 0% | 641 | 717 | +12% | 0 | 0 | — |
case-08 | pass→pass | 3,375 | 3,111 | -8% | 1 | 1 | 0% | 594 | 663 | +12% | 0 | 0 | — |
case-09 | fail→pass | 3,697 | 2,961 | -20% | 1 | 1 | 0% | 721 | 776 | +8% | 0 | 0 | — |
case-10 | pass→pass | 4,571 | 3,750 | -18% | 1 | 1 | 0% | 670 | 1,007 | +50% | 0 | 0 | — |
case-11 | pass→pass | 5,471 | 3,676 | -33% | 1 | 1 | 0% | 966 | 928 | -4% | 0 | 0 | — |
case-12 | pass→fail | 4,897 | 4,264 | -13% | 1 | 1 | 0% | 763 | 788 | +3% | 0 | 0 | — |
case-13 | pass→pass | 3,934 | 3,491 | -11% | 1 | 1 | 0% | 745 | 759 | +2% | 0 | 0 | — |
case-14 | pass→pass | 4,762 | 3,952 | -17% | 1 | 1 | 0% | 734 | 793 | +8% | 0 | 0 | — |
case-15 | pass→pass | 3,884 | 2,642 | -32% | 1 | 1 | 0% | 664 | 566 | -15% | 0 | 0 | — |
case-16 | pass→pass | 2,321 | 2,247 | -3% | 1 | 1 | 0% | 422 | 499 | +18% | 0 | 0 | — |
case-17 | pass→pass | 9,574 | 2,363 | -75% | 1 | 1 | 0% | 1,686 | 539 | -68% | 0 | 0 | — |
case-18 | pass→pass | 4,732 | 2,436 | -49% | 1 | 1 | 0% | 778 | 541 | -30% | 0 | 0 | — |
case-19 | pass→pass | 6,155 | 6,827 | +11% | 1 | 1 | 0% | 1,116 | 1,344 | +20% | 0 | 0 | — |
case-20 | pass→pass | 4,020 | 2,606 | -35% | 1 | 1 | 0% | 634 | 649 | +2% | 0 | 0 | — |
case-21 | pass→pass | 3,436 | 3,315 | -4% | 1 | 1 | 0% | 480 | 717 | +49% | 0 | 0 | — |
case-22 | pass→pass | 4,848 | 2,653 | -45% | 1 | 1 | 0% | 878 | 629 | -28% | 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 19 counted toward the lift figure. The other 3 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 +9 percentage points is the difference between those two pass rates over the 19 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.