What problem does it solve? Graduate students in accounting and finance often pick thesis case topics without knowing whether regulatory documents, annual reports, and prior literature actually support a viable study. This Skill runs the first phase of a thesis compilation workflow: it validates case material availability, scans literature coverage, benchmarks exemplar papers, and produces a diagnostic verdict plus a Red Thread statement that anchors all later writing phases. ## Core Features & Use Cases - Three-Track Research: Track A verifies case material availability (CSRC penalty decisions, annual reports, exchange inquiry letters); Track B scans literature coverage on CNKI and Semantic Scholar; Track C benchmarks three high-quality exemplar papers of the same case type. - Case Type Routing: Matches the topic against 25 case types across 7 categories (audit failure, financial fraud, internal control, M&A, ESG, etc.) and classifies it as ex-ante or ex-post based on regulatory punishment status. - Diagnostic Output: Produces a feasibility verdict, literature coverage rating, topic-cut suggestions, risk warnings, and a Red Thread sentence, then persists state to project_state.md and output/p1-red-thread.md. - Use Case: A student proposes studying an audit failure at a listed company. The Skill searches for the penalty decision document, counts existing CNKI theses on that company, benchmarks three exemplar papers, and concludes whether the topic is viable or needs a sharper angle. ## Quick Start Start Phase 1 by telling the assistant your tentative thesis topic, for example: diagnose my proposed case study on the audit failure of a listed company and confirm whether it is a viable master's thesis topic.
