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Review chapter drafts for paragraph-level flow, transitions, and argument continuity before editing.
Codex 또는 Claude로 설치 이 Prompt를 복사해 Codex, Claude 또는 다른 어시스턴트에 붙여 넣으면 Skill 페이지를 검토하고 설치를 진행할 수 있습니다.
SOC 직업 분류 기준
| name | logic-review |
| description | Review chapter drafts for paragraph-level flow, transitions, and argument continuity before editing. |
| allowed-tools | Read, Glob, Bash, Edit |
Find paragraphs that may need a topic sentence, a clearer transition, merging, or re-ordering. The deterministic script flags candidates; the agent explains and proposes edits.
This skill activates on: logic review, flow check, paragraph logic, /logic-review.
scripts/audit-logic.py relative to this SKILL.md, then run it from the project root:
python3 {skill_dir}/scripts/audit-logic.py --base-dir . --jsonUse when AI-assisted thesis edits risk claim drift, scope creep, loss of author control, or repeated revisions that fail to converge; provides spine cards, edit contracts, drift audits, revision escalation, and human gates.
Stop repeated failed writing, coding, manuscript, rebuttal, or restructuring revisions when the same issue has gone through 3+ unsatisfactory edits, vague feedback such as still wrong/weird/unclear/weak/越改越乱, version contamination, or possible gap/claim/evidence/venue-fit drift.
Build and audit the manuscript argument system: intent, gap-contribution alignment, hierarchical claims, evidence balance, limitations, and reviewer attack surfaces. Use when a paper, thesis chapter, review article, or rebuttal needs explicit intent registers, contribution chains, claim hierarchy, argument maps, evidence-fit checks, or reviewer-risk matrices before drafting, revision, peer review, or self-review.
Review another author's manuscript, paper, thesis chapter, proposal, or preprint as an external reviewer. Use when asked to evaluate novelty, significance, gap-contribution fit, claim-evidence adequacy, methods, evaluation, overclaim risks, structure, writing, required revisions, or recommendation without rewriting the manuscript or using private author context.
Review the user's own manuscript, paper, thesis chapter, rebuttal, or release packet with clean-room anti-contamination controls. Use when asked for self-review, internal review, pre-submission review, readiness check, reviewer simulation on own work, or claim-evidence self-audit where prior chat memory, unstated assumptions, model background knowledge, or unlisted local notes must not be treated as evidence.
Reframe academic manuscript drafts that read like engineering reports, module inventories, internal validation packets, or system notes into paper-form scientific arguments with clear gap, contribution chain, results narrative, figure/table roles, AI-assisted component boundaries, and submission-readiness blockers.