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Get Started Free →Runs pre-submission checks (word count, anonymization, citations, placeholders, cross-refs) and generates a checklist. Use before journal submission.
.claude/skills/brycewang-stanford-submission-prep/SKILL.md| Test case | Without → With | Effect | Δ tokens | Δ turns |
|---|---|---|---|---|
| case-09 | ✗→✓ | ▲ Improved | 55% | 0% |
| case-13 | ✗→✓ | ▲ Improved | 53% | 0% |
| case-22 | ✗→✓ | ▲ Improved | -21% | 0% |
| case-04 | ✓→✗ | ▼ Worse | -16% | 0% |
| case-14 | ✓→✗ | ▼ Worse | -60% | 0% |
Run pre-submission checks and generate a submission checklist for a journal submission.
_manuscript/ does not exist or is stale:bash bash scripts/render.sh
index.qmd:index.qmd for content that may violate double-blind review:author field) appearing in the body text@key and [@key] citations from index.qmdreferences.bib.bib (errors).bib not cited in the manuscript (unused — informational only){{< embed >}} shortcodes from index.qmd[FILL:] placeholders in index.qmd:bash grep -n "\[FILL:" index.qmd Report each with line number and context.
@sec-, @fig-, @tbl- references in index.qmd and verify each target exists (section IDs in the document, figure/table labels in notebooks).markdown ## Submission Checklist
| Case | Status | Duration (ms) | Turns | Tokens | Tool calls | ||||||||
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| Without | With | Δ | Without | With | Δ | Without | With | Δ | Without | With | Δ | ||
case-03 | fail→fail | 18,281 | 7,232 | -60% | 1 | 1 | 0% | 3,109 | 1,171 | -62% | 0 | 0 | — |
case-01 | fail→fail | 8,879 | 6,157 | -31% | 1 | 1 | 0% | 918 | 1,180 | +29% | 0 | 0 | — |
case-02 | fail→fail | 42,650 | 6,397 | -85% | 1 | 1 | 0% | 8,266 | 1,293 | -84% | 0 | 0 | — |
case-04 | pass→fail | 12,254 | 10,878 | -11% | 1 | 1 | 0% | 1,936 | 1,622 | -16% | 0 | 0 | — |
case-05 | pass→pass | 11,340 | 4,857 | -57% | 1 | 1 | 0% | 1,773 | 1,506 | -15% | 0 | 0 | — |
case-06 | fail→fail | 12,963 | 6,779 | -48% | 1 | 1 | 0% | 1,860 | 1,721 | -7% | 0 | 0 | — |
case-07 | pass→pass | 16,106 | 11,823 | -27% | 1 | 1 | 0% | 2,595 | 2,530 | -3% | 0 | 0 | — |
case-08 | fail→fail | 14,968 | 8,901 | -41% | 1 | 1 | 0% | 2,530 | 1,350 | -47% | 0 | 0 | — |
case-09 | fail→pass | 13,762 | 15,900 | +16% | 1 | 1 | 0% | 2,255 | 3,489 | +55% | 0 | 0 | — |
case-10 | fail→fail | 27,274 | 6,187 | -77% | 1 | 1 | 0% | 2,228 | 1,123 | -50% | 0 | 0 | — |
case-11 | fail→fail | 12,773 | 6,201 | -51% | 1 | 1 | 0% | 2,241 | 1,130 | -50% | 0 | 0 | — |
case-12 | pass→pass | 11,072 | 4,629 | -58% | 1 | 1 | 0% | 1,714 | 1,502 | -12% | 0 | 0 | — |
case-13 | fail→pass | 3,446 | 1,569 | -54% | 1 | 1 | 0% | 589 | 901 | +53% | 0 | 0 | — |
case-14 | pass→fail | 17,028 | 5,747 | -66% | 1 | 1 | 0% | 2,532 | 1,009 | -60% | 0 | 0 | — |
case-15 | pass→pass | 12,996 | 4,326 | -67% | 1 | 1 | 0% | 2,196 | 1,466 | -33% | 0 | 0 | — |
case-16 | pass→fail | 16,409 | 5,588 | -66% | 1 | 1 | 0% | 2,549 | 960 | -62% | 0 | 0 | — |
case-17 | pass→fail | 13,554 | 3,750 | -72% | 1 | 1 | 0% | 1,969 | 1,253 | -36% | 0 | 0 | — |
case-18 | pass→fail | 10,243 | 2,684 | -74% | 1 | 1 | 0% | 1,600 | 1,103 | -31% | 0 | 0 | — |
case-19 | fail→fail | 19,409 | 22,095 | +14% | 1 | 1 | 0% | 3,455 | 5,116 | +48% | 0 | 0 | — |
case-20 | fail→fail | 15,067 | 4,734 | -69% | 1 | 1 | 0% | 2,890 | 900 | -69% | 0 | 0 | — |
case-21 | fail→fail | 4,599 | 6,781 | +47% | 1 | 1 | 0% | 718 | 1,074 | +50% | 0 | 0 | — |
case-22 | fail→pass | 12,525 | 5,182 | -59% | 1 | 1 | 0% | 2,083 | 1,643 | -21% | 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 11 counted toward the lift figure. The other 11 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 11 comparable cases. 8 cases got worse with the skill loaded, and they are 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.