
将学术研究调试为一个连接系统,结合证据、一致性和变革影响分析。
概览
论文调试器是一项Claude代理技能,将学术研究视为一个连接的研究系统,而不仅仅是审查单个章节。它追踪从研究问题和文献到理论、假设、变量、方法论、数据、分析、证据、讨论和结论的链条,并以此为标志性工作流程。 - 研究问题/客观不匹配 - 理论/假设/模型不匹配 - 方法/研究问题不匹配 - 变量与定义漂移 - 测量与操作化问题 - 样本、数据集和数值不一致 - 统计解释问题 - 因果夸大与逻辑跳跃 - 无支持或部分支持的主张 - 章节/文档内部矛盾 - 范围膨胀和完整性缺口 - 结果/讨论/结论不匹配 - 研究死胡同和脆弱依赖关系 - 研究变更的下游影响 - 模糊的导师反馈及其可能的依赖关系 -...
概述(AI 翻译)
在审查员之前先调试你的研究。
论文调试器是一项Claude代理技能,将学术研究视为一个连接的研究系统,而不仅仅是审查单个章节。它追踪从研究问题和文献到理论、假设、变量、方法论、数据、分析、证据、讨论和结论的链条,其中变更影响分析是其标志性工作流程。
它检测到的东西
- 研究问题/客观不匹配
- 理论/假设/模型不匹配
- 方法论/研究问题不匹配
- 变量漂移和定义漂移
- 测量与操作化问题
- 样本、数据集和数值不一致
- 统计解释问题
- 因果夸张与逻辑跳跃
- 无依据或部分有根据的主张
- 章节/文件之间的内部矛盾
- 范围膨胀与完整性缺口
- 结果/讨论/结论不匹配
- 研究死胡同和脆弱依赖
- 研究变革的后续影响
- 模糊的主管反馈及其可能的依赖关系
- 文献综述综合、覆盖范围、缺口及贡献风险
本页由 AI 翻译,技术细节请以原文为准。
README
以下为原文 README 节选,完整内容请查看原文。
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
推荐工具
换一个关键词,或者移除筛选条件。
安装
npx skillfish add arkanaalzair/thesis-debugger