thesis-review

Reviews Chinese master's theses for formatting, language, structure, and reference consistency.

Updated Apr 13, 2026
One-click install
npx skills add https://github.com/Lidong-Huang/thesis_format_check --skill thesis-review-lidong-huang
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: thesis-review
Source: https://github.com/Lidong-Huang/thesis_format_check/tree/main
Command: npx skills add https://github.com/Lidong-Huang/thesis_format_check --skill thesis-review-lidong-huang

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill requires python-docx, and includes scripts (resource) components.

What problem does it solve?

This Skill helps review Chinese master's theses for common formatting, language, structure, academic expression, and reference issues, so students and reviewers can identify problems before submission.

Core Features & Use Cases

  • Formatting checks: Detect mixed Chinese-English punctuation, excessive decimal places in tables, and heading numbering inconsistencies.
  • Academic quality checks: Review statistical wording, p-value expressions, chart and table caption clarity, and figure/table numbering continuity.
  • Structure and reference review: Assess abstract balance, methods ordering, title-content alignment, and reference numbering consistency.
  • Use case: A graduate student uploads a thesis draft and gets a prioritized list of revision suggestions with exact problem locations and improvement guidance.

Quick Start

Ask the skill to review your Chinese master's thesis DOCX and return detailed, prioritized revision comments.

Frequently Asked Questions about thesis-review

High-intent search queries and answers about installing and using this skill.

FAQPage Schema
How do I review a Chinese master's thesis for formatting and reference issues?

To review a Chinese master's thesis, you upload your DOCX file for automated formatting, language quality, and reference consistency checks. The analysis identifies mixed punctuation, statistical wording errors, and numbering inconsistencies, returning a prioritized list of revision suggestions.

What is the best way to check academic writing quality and statistical expressions in a thesis draft?

Checking academic writing quality involves analyzing statistical wording, p-value expressions, and chart caption clarity within your DOCX file. The review process evaluates academic rigor and title-content alignment, providing exact problem locations and targeted improvement guidance for your draft.

Can I use python-docx to parse and analyze a thesis document for submission checks?

Yes, python-docx is required for DOCX parsing and document analysis during thesis submission checks. The Skill uses this dependency to extract text and evaluate formatting, structure, and reference numbering continuity, ensuring your graduate paper meets academic standards before submission.

Does thesis reference verification require WebSearch support to check numbering consistency?

Thesis reference verification uses WebSearch support when available to validate reference numbering consistency and accuracy. If WebSearch is not available, the Skill still performs internal DOCX analysis to cross-check reference list formatting and numbering against in-text citations.

How do I fix mixed Chinese-English punctuation and heading numbering inconsistencies before thesis submission?

Fixing mixed Chinese-English punctuation and heading numbering inconsistencies requires a document analysis of your DOCX draft. The review detects these formatting flaws automatically, highlighting exact locations and providing prioritized improvement guidance to ensure academic quality.