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Deep-review-first audit for Chinese and English academic papers across LaTeX, Typst, and PDF formats.
Passed 12 of 21 test cases with the skill, and 11 of 21 without it.
and 1 more in the full report
2 fixed11 passed either way9 still failing1 broke
Tokens, turns and time describe resource use, not a dollar price.
One of 2 test cases the skill fixed. Same model, same prompt, with and without the skill.
If an Editor-in-Chief flags a paper for Desk Reject due to anonymization violation or scope mismatch, can high scores in methodology or writing raise the overall consensus score above a failing threshold?
| Checked | Without skill | With skill |
|---|---|---|
| Explains that a Desk Reject determination caps the overall consensus score regardless of minor strengths. | Missed | Passed |
| States that severe policy violations mandate a failing summary score. | Missed | Passed |
The instructions your model reads when the skill loads.
paper-audit is now deep-review-first. Its core job is to behave like a serious reviewer: find technical, methodological, claim-level, and cross-section issues; keep script-backed findings separate from reviewer judgment; and return a structured issue bundle plus a revision roadmap.
Use it for audit and review. Do not use it as the first tool for source editing, sentence rewriting, or build fixing.
quick-audit: fast submission-readiness screen with script-backed findingsdeep-review: reviewer-style structured issue bundle with major/moderate/minor findingsgate: PASS/FAIL decision calibrated for submission blockersre-audit: compare current issue bundle against a previous auditpolish: precheck-only handoff into a polishing workflowThe primary product is no longer just a score. For deep-review, the main outputs are:
final_issues.jsonoverall_assessment.txtreview_report.mdrevision_roadmap.md.tex / .typ[Script] from [LLM] findings.| Requested intent | Mode |
test cases passed, vs 11 / 21 without
More skills from the same source and nearby in the registry, with their headline benchmark lift.