시험기 전에 당신의 연구를 벌레.

Thesis Debugger는 단순히 개별 챕터를 검토하는 것보다 연결 연구 시스템으로 학업 연구를 감사하는 Claude Agent Skill입니다. 그것은 이론, 저하, 변수, 방법론, 데이터, 분석, 증거, 토론 및 결론을 통해 연구 질문과 문학에서 체인을 추적, ** 변경 충격 분석 ** 서명 워크플로로.

그것을 검출하는 것

• 연구-요청/부대잡
• Theory/hypothesis/모델 잡화
• 방법론/research-question mismatch
• 가변 및 정의 편류
• 측정 및 작동 문제
• 샘플, 데이터 세트 및 숫자 일관성
• 통계 해석 문제
• Causal overclaims 및 논리 점프
• 지원되지 않음 또는 부분적으로 지원되는 청구
• 챕터/documents의 내부 피임
• 범위 인플레이션 및 완전 간격
• 결과/discussion/포함 mismatch
• 연구 죽은 끝과 fragile 의존성
• 연구 변화의 다운스트림 효과
• Ambiguous supervisor 의견 및 그 가능성이 의존성
• 문학 검토 종합, 적용, 간격 및 기여 위험

Thesis Debugger

Debug your research before your examiner does.

Thesis Debugger is a Claude Agent Skill that audits academic research as a connected research system rather than simply reviewing individual chapters. It traces the chain from research questions and literature through theory, hypotheses, variables, methodology, data, analysis, evidence, discussion, and conclusions, with Change Impact Analysis as its signature workflow.

What it detects

• Research-question/objective mismatch
• Theory/hypothesis/model mismatch
• Methodology/research-question mismatch
• Variable and definition drift
• Measurement and operationalization problems
• Sample, dataset, and numeric inconsistencies
• Statistical interpretation problems
• Causal overclaims and logic jumps
• Unsupported or partially supported claims
• Internal contradictions across chapters/documents
• Scope inflation and completeness gaps
• Results/discussion/conclusion mismatch
• Research dead ends and fragile dependencies
• Downstream effects of research changes
• Ambiguous supervisor feedback and its likely dependencies
• Literature-review synthesis, coverage, gap, and contribution risks
• Reference/citation integrity and claim-source traceability
• Plagiarism/paraphrase risk when comparison text is supplied
• Academic-authenticity/provenance risk signals (not a definitive AI detector)
• Result-level traceability and proportional reproduction checks for material reported findings when supplied data, analysis artifacts, dependencies, permissions, and safe execution make them feasible

Why it exists

A thesis is not a collection of chapters. It is a connected research system:

RESEARCH QUESTION → THEORY → HYPOTHESIS → VARIABLES → MEASUREMENT → METHOD → DATA → ANALYSIS → RESULTS → DISCUSSION → CONCLUSION

A weak link can propagate into downstream sections. Changing one research decision can therefore require changes elsewhere. Thesis Debugger makes those dependencies explicit before the researcher edits downstream sections.

The goal is not to maximize the number of comments. The goal is to identify material, evidence-grounded research problems and show what they affect.

Signature feature: Change Impact Analysis

Example request:

I changed my methodology from OLS regression to SEM. What else needs to change?

The skill maps the change through the research dependency graph and reports:

• what is directly affected
• what is likely to require an update
• what has no direct dependency
• why the dependency exists
• what should be revalidated before the change is considered complete

It does not blindly rewrite the thesis.

Example output

The following is illustrative only; it uses hypothetical research inputs and demonstrates categorical diagnosis rather than an arbitrary overall acceptance probability.

# THESIS DEBUG REPORT

Research State: CONTESTED
Decision State: FRAGILE
Confidence: MODERATE

🔴 Critical: 2
🟠 High: 4
🟡 Medium: 5
🔵 Low: 2