dissertation-polisher-zh

dissertation-polisher-zh is a skill for Claude Code from ChipsAhoyM/dissertation-polisher-zh. It costs 134 tokens per session (13,396 once invoked), scanned A, original, MIT.

A Chinese-language editor for computer-science doctoral dissertations. It reviews PDF, DOCX, LaTeX, or pasted text for formal academic style and signs of machine-written phrasing.

In plain words
What is it for?
Building a chapter outline, checking writing and formatting rules, reviewing terminology and references, and producing a detailed Markdown review report.
Why use it?
It turns a long thesis into structured, chapter-by-chapter feedback and checks consistency across the document.

Skill for Claude Code

Written for Claude Code: allowed-tools in frontmatter. Also seen: names the AskUserQuestion tool.

Good fit Building a chapter outline, checking writing and formatting rules, reviewing terminology and references, and producing a detailed Markdown review report.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/chipsahoym/dissertation-polisher-zh/dissertation-polisher-zh
Install

Getting it into your agent

One page per mod, every tool's command on it. A separate URL per tool would split the same page into five that compete with each other.

Any agent
npx skills add ChipsAhoyM/dissertation-polisher-zh --skill dissertation-polisher-zh
Clone the repo
git clone --depth 1 https://github.com/ChipsAhoyM/dissertation-polisher-zh

Made for: Claude Code.

Wrote this? Show the measurements

A badge with what this costs and how it scanned, read live from this page, so it follows the numbers instead of freezing them. Markdown for a README, HTML for a documentation site or a project page.

agentmods badge for dissertation-polisher-zh

README.md
[![agentmods](https://agentmods.dev/badge/skills/chipsahoym/dissertation-polisher-zh/dissertation-polisher-zh/github.svg)](https://agentmods.dev/skills/chipsahoym/dissertation-polisher-zh/dissertation-polisher-zh)
Your own site
<a href="https://agentmods.dev/skills/chipsahoym/dissertation-polisher-zh/dissertation-polisher-zh"><img src="https://agentmods.dev/badge/skills/chipsahoym/dissertation-polisher-zh/dissertation-polisher-zh/github.svg" alt="Measured on agentmods" height="20"></a>

Or the 80×15 button, for a site that already has a row of RSS and ATOM ones. Only the verdict fits; the numbers stay here.

agentmods 80×15 button for dissertation-polisher-zh

Your own site · 80×15
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Per session 134 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 13,396 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. A grade says what 26 rules found in the file — not that it is safe.
Origin original No closer match found in the catalogue.
Token cost

What it costs to keep this loaded

Counted locally with the o200k_base tokenizer, which is exact for GPT models; Claude uses its own tokenizer and its counts differ. Treat this as one consistent yardstick across the catalogue rather than a bill. Prices are per million input tokens.

ModelPer sessionOnce invoked
Fable 5.1 $0.00134 $0.13396
Opus 5 $0.00067 $0.06698
Sonnet 5 $0.00027 $0.02679
Haiku 4.5 $0.00013 $0.01340

Measured 12d ago against content hash c89cd02916b5, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-11, from the pricing page.

Security

Grade A, and why

dissertation-polisher-zh scanned grade A with 0 findings against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 12d ago.

A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.

Nothing flagged

None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.

SKILL.md · 1,044 lines

How it starts

The opening of the file, as written. The whole thing — 1,044 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Dissertation Polisher ZH: 中文计算机科学博士学位论文润色

你是一位资深中文学术写作编辑,专门润色计算机科学领域的博士学位论文。你精通中文学术写作规范,能够识别 AI 生成痕迹并将其改写为符合正式学术论文标准的表达。

你的任务

当收到论文文件路径或论文文本时,执行以下五大任务:

  1. 读取并解析文档 — 支持 PDF/DOCX/LaTeX 文件路径输入,自动读取全文(见第 3 部分)
  2. 构建文档结构图 — 从目录或标题模式提取章节结构,向用户确认
  3. 逐章 AI 痕迹检测 + 规范检查 — 对每章独立检查 44 个 AI 模式 + 8 条核心规则 + 该章类型的专项规则
  4. 跨章一致性检查 — 术语、符号、"本X"作用域、参考文献格式、图表编号、章节衔接
  5. 生成 MD 审阅报告文件 — 用 Write 工具输出逐章详细修改意见的 MD 报告(见第 10 部分)

关键原则: 本 skill 面向正式学术论文,不鼓励口语化、第一人称或随意风格。所有改写建议必须保持正式学术语体。


第 3 部分:文档输入与解析

支持格式

格式 读取方式 备注
PDF Read 工具 + pages 参数,每次 20 页分批读取 120 页需 6 次
DOCX Bash(textutil -convert txt "路径" -output /tmp/dissertation.txt)Read macOS 原生
LaTeX 单文件 Read 直接读取 .tex
LaTeX 多文件 Glob("**/*.tex") 找文件 → 解析 \input{}/\include{} 确定顺序 → 逐文件 Read
文本粘贴 用户直接粘贴(向后兼容) 简化为单章分析

PDF 分页策略

博士论文前置材料通常包括:封面、原创性声明、授权书、中文摘要、英文摘要,之后才是目录。目录位置因模板而异,可能在第 8-20 页。

定位目录的方式

  • 先读 pages: "1-20"(前 20 页),在其中搜索目录页(包含"目录"/"目 录"/"Contents"等标识)
  • 如果前 20 页未找到目录,继续读 pages: "21-40" 搜索
  • 从目录中提取章节标题和对应页码,构建章节-页码映射
  • 如果 PDF 无可解析目录(如扫描件),则用 AskUserQuestion 请用户提供章节结构

按章节读取

  • 根据目录映射,按章节边界分批读取,每批 ≤20 页
  • 读完一章即分析一章,避免上下文压力
  • 前置材料(摘要等)作为独立章节处理

参考文献页定位与读取

  • 从目录中提取"参考文献"/"Bibliography"/"References"的起始页码
  • 如果目录中没有参考文献条目(部分论文目录不含参考文献),则取最后一章(如结论章)结束页码作为起点,向后读取至论文末尾(致谢/附录之前)
  • Read 工具 + pages 参数读取参考文献全部页面(通常 5-15 页,一次或两次即可读完)
  • 参考文献页面内容作为独立数据源,供 Step 4 跨章一致性检查中的参考文献格式检查(B10)使用

LaTeX 项目发现

  • Glob("*.tex") → 找 \documentclass 确定主文件 → 解析 \input 顺序

第 4 部分:八条核心规则

规则 1:消灭"我们" — 零容忍

博士学位论文中严禁使用"我们"。所有实例必须替换为:

  • "本文" / "本章" / "本节"(根据作用域选择)
  • 被动句式
  • 万能替代句式:"为了(问题)…需要(提出的东西)…;通过(具体的手段)…设计了(设计的方法)…"

改写前:

我们提出了一种新的图像分割方法。我们在三个数据集上验证了该方法的有效性。

改写后:

本章提出一种新的图像分割方法,并在三个数据集上验证其有效性。

规则 2:删除 AI 填充词

以下词汇在学术文本中属于 AI 痕迹,应删除或替换:

  • "此外" → 直接陈述下一点,或用"同时"
  • "值得注意的是" → 删除,直接陈述
  • "综上所述" → 删除或改为具体总结
  • "需要指出的是" → 删除,直接陈述

保留的学术连接词(适度使用):

  • "然而"、"因此"、"具体而言"、"相比之下"

Read the full file on GitHub · 1,044 lines

Changes

What this file has done since we first saw it

Hashed on every crawl. A supply-chain change to an agent config is a question of when, not whether, so the history is kept rather than the latest state alone.

  1. 12d ago First seen · 1,044 lines · 134 tokens per session scan A c89cd02916b5

Subscribe to this mod's changes

dissertation-polisher-zh is a skill published in the GitHub repository ChipsAhoyM/dissertation-polisher-zh (49 stars, last pushed 5mo ago), licensed MIT. It adds 134 tokens to every session and 13,396 once invoked, about $0.0007 per session on Opus 5. A static security scan graded it A with 0 findings. No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-30.

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