thesis-optimizer

thesis-optimizer is an Academic writing & papers skill for AI agents, published by Haimbeau1o in the thesis-optimizer repository on GitHub. Skillspace rates thesis-optimizer D (66/100) and it passed the safety scan; the rating is based on static analysis only.

学术论文智能优化系统,专为计算机深度学习方向硕士学位论文设计。 提供三维协同优化:降低 AI 写作风险特征、降查重率、学术润色提升。 采用两层文档架构(总揽+章节)与显式状态追踪,实现模块化闭环优化。 内置中文学术写作风险模式、词汇风险和句式节奏参考。严格遵循“最小干预与句内微调”原则,避免大段AI式重写,保留作者原有科研逻辑。 Intelligent thesis optimization system for computer science deep learning master's theses. Provides three-dimensional optimization: AI-writing-risk reduction, plagiarism reduction, academic polishing. Uses two-tier document architecture (master + chapter) with explicit state tracking for modular closed-loop optimization. Uses writing-risk references and minimal intra-sentence restructuring to preserve the author's logic. 关键词: thesis-optimization, ai-detection, plagiarism, polishing, academic-writing, perplexity, burstiness

Grade
D
Quality
66 / 100
Safety
Passed
GitHub stars
238

Unproven: rated by static analysis only, not yet compared head-to-head.

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Our review

Architecture
84 / 100
Maturity
Structured: ships references or scripts
Security scan
No issues found
License
MIT
Adoption
Adopted by 0 other repositories, in 0 collections

Not checked yet

  • Not judged on the rubric yet (not a contender in its category)
  • No blind task eval yet
  • Scope (portable / vendor / repo-internal) not assessed; only the top of each category is read for scope
  • Sibling files (scripts, references) not fetched; security scan covers SKILL.md only

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