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Minimal Counterexample Academic Writing System icon

Minimal Counterexample Academic Writing System

Professional Updated 2026.08.30

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Please install @user_d0deb03a/minimal-counterexample-repair-v2 according to https://skillhub.cn/install/skillhub.md.

About this skill

Problem

Papers, reports, and grant proposals often fail because the logic feels “not rigorous enough,” but edits drift into full rewrites or surface-level wording fixes. This skill targets logical-chain gaps: jumps between Claims, unsupported conclusions, unaddressed alternative explanations, and reviewer comments that never shrink into actionable fixes.

How It Works

It borrows software-style verification for academic writing:
- Anchor an Oracle, such as venue norms, strong papers, or review criteria;
- Identify a concrete Counterexample;
- Use Shrinking to reduce the issue to one sentence or one claim;
- Repair only that minimal counterexample, then run regression checks to prevent regressions.
It supports first-draft self-review, pre-submission review, reviewer response, and grant justification, treating writing as a stress-test loop rather than a final polish pass.

Boundary

It does not handle grammar, formatting, translation, statistical computation, or fact-checking. Inputs need enough context, such as a section, research question, or Thesis Statement; short fragments may require framing the research question first.

Use Cases

  • After drafting a paper, systematically audit the claim chain for logical jumps and gaps.
  • Before submission, simulate a reviewer to check citation support, terminology, causality, and alternatives.
  • After receiving reviewer comments, compress each into a minimal counterexample and repair precisely.
  • When writing an NSFC grant, verify argument coverage against evaluation criteria item by item.

Best For

  • A graduate student preparing submission who needs to catch logical flaws before the deadline.
  • A paper author handling reviewer comments who needs to localize fixes without scope creep.
  • A researcher drafting a grant proposal who needs to verify argument coverage against criteria.
  • A supervisor guiding a student's thesis who needs a consistent framework for actionable feedback.