lov-thesis-polish SKILL.md skillA

lov-thesis-polish from lovstudio/skills is an agent skill: a SKILL.md folder an AI agent loads when a task calls for it.

Install it, pinned
mdr add lovstudio/skills/lov-thesis-polish@v1.1.0

Pins v1.1.0 in mdr.lock. Pin the fingerprint instead.

Audit grade
A, 17 of 17 checks passed
Kind
SKILL.md skill
Repository
lovstudio/skills
Path
skills/thesis-polish/SKILL.md
Versions recorded
5
Latest version
v1.1.0, committed Sep 7, 2026
First version recorded
Aug 9, 2026
Size
6,089 bytes
Repository stars
72
License
MIT

Polish and elevate MBA thesis / dissertation to national outstanding thesis quality (全国优秀论文). Performs comprehensive improvement: academic language, argument structure, logical rigor, innovation highlights, and formatting. Input: markdown thesis text. Output: polished full text. Also trigger when the user mentions "论文润色", "MBA论文", "优秀论文", "thesis polish", "dissertation improvement", "学术润色".

Collected from public GitHub. Every version is saved exactly as it was and never changes. Install it at an exact version with the mdr tool, and every file is checked before it reaches your agent. The main file is checked against the SHA-256 fingerprint recorded here, and the others against the fingerprints GitHub keeps for its source commit. The automatic checks below grade the latest version, and the same checks always give the same file the same grade.

What the file says

# 论文精修 · Thesis Polish

将 MBA 论文从初稿提升至全国优秀论文水准。涵盖语言润色、结构优化、论证强化、创新点凸显四个维度。

## When to Use

- 用户提供 MBA 论文(markdown 格式)需要润色
- 用户想让论文达到全国优秀论文标准
- 用户需要学术写作的全面提升

## Workflow (MANDATORY)

### Step 1: 接收论文

读取用户提供的论文文件(markdown 格式)。如果用户给的是文件路径,用 Read 工具读取。

### Step 2: 诊断评估

通读全文后,先输出一份**诊断报告**(不超过 300 字),包含:

| 维度 | 当前水平 | 主要问题 | 提升方向 |
|------|---------|---------|---------|
| 语言表达 | A/B/C | ... | ... |
| 论证逻辑 | A/B/C | ... | ... |
| 结构布局 | A/B/C | ... | ... |
| 创新贡献 | A/B/C | ... | ... |
| 文献运用 | A/B/C | ... | ... |

### Step 3: 确认润色策略

**Use `AskUserQuestion` to confirm strategy BEFORE polishing.**

向用户展示诊断报告后,询问:

- 是否同意诊断?有无特殊要求?
- 论文的核心创新点是什么?(帮助 AI 更好地凸显)
- 是否有目标期刊/评审标准的特殊要求?

### Step 4: 逐章润色

按章节逐一润色,每章输出完整的润色后文本。润色时严格遵循以下标准:

#### 4.1 语言表达标准

- **学术用语**:口语化表达 → 学术规范用语("很多" → "大量/众多","觉得" → "认为/表明")
- **句式升级**:简单句 → 复合句,增加因果、转折、递进的逻辑连接
- **术语一致**:全文术语统一,首次出现标注英文原文
- **量化表达**:模糊描述 → 精确数据/比例/引用支撑
- **被动与主动**:研究方法部分多用被动语态,讨论部分主动论述

#### 4.2 论证逻辑标准

- **论点-论据-论证**:每个观点必须有数据/文献/案例支撑
- **逻辑链条**:前后段落之间有明确的逻辑递进关系
- **反驳预设**:对可能的质疑提前回应("尽管...但...")
- **对比论证**:与已有研究对比,凸显本文贡献
- **因果严谨**:区分相关性与因果性,避免过度推断

#### 4.3 结构布局标准

- **章节衔接**:每章开头有承上启下的过渡段
- **段落结构**:主题句 → 展开 → 小结,每段聚焦一个论点
…

Read the whole file at its exact version.

How to install

The exact contents, by fingerprint
mdr add lovstudio/skills/lov-thesis-polish@sha256:6405572b03e0c0c6

The line at the top of this page pins the label v1.1.0, which is what most people want. This one pins the sha256 fingerprint of the contents instead, so it survives a label being moved. Either way the exact version is written to mdr.lock, and mdr install downloads and checks those contents again, so it installs them exactly or stops with an error.

Badge

mdr badge

[![mdr](https://markdownregistry.com/badge/art_m6x4duwekt5ayw2h.svg)](https://markdownregistry.com/a/art_m6x4duwekt5ayw2h)

2 badge image fetches in 30 days. What the badge shows.

Versions

The registry has recorded 5 versions of this file, between Aug 9, 2026 and Sep 7, 2026, about one every 7 days.

versioncommittedcommitsizeaudit
v1.1.0 latest2026-09-07 a09848e 6,089 BA view · diff
v1.1.02026-08-23 00fafa8 6,100 BA view · diff
v1.0.12026-08-10 d704a55 5,378 BA view · diff
v1.0.12026-08-10 22e49cf 4,751 BA view · diff
v1.0.12026-08-09 a4179a1 4,751 BA view

Audit of the latest version

A  17 of 17 checks passed. Fixed automatic checks with no AI involved, so the same checks give the same answer every run.
  • pass: Frontmatter block present
  • pass: Frontmatter declares a name
  • pass: Frontmatter declares a description
  • pass: Size between 200 bytes and 200 KB (6089 bytes)
  • pass: No zero-width or bidi control characters
  • pass: No instruction hidden inside an HTML comment
  • pass: No link to an exfiltration or paste host
  • pass: No credential-shaped string
  • pass: No instruction to send local credentials anywhere
  • pass: No text hidden with inline styles
  • pass: No prompt-injection phrasing
  • pass: No curl or wget piped into a shell
  • pass: No recursive delete of root, home or parent
  • pass: No instruction to read or print local credentials
  • pass: No base64 blob over 200 characters
  • pass: No link to a raw IP address
  • pass: No script tag

Source

GitHub

lovstudio/skills · 72 stars · license MIT · pushed 2026-11-06 · branch main

API

GET https://markdownregistry.com/api/v1/artifacts/art_m6x4duwekt5ayw2h
GET https://markdownregistry.com/api/v1/resolve?ref=lovstudio/skills/lov-thesis-polish
GET https://markdownregistry.com/api/v1/blob/6405572b03e0c0c63ee688eb4c5f6bf4a2e5da86373f09f6a7029a97b49f846b

Your AI assistant does the legwork. You hear about the deals worth your word. Hand yours the standing instructions at modelranch.com and it joins the network that reads files like this one.

Guides: the SKILL.md format and its required fields · what to check before you install a skill · how to pin a skill to an exact version · where to find agent skills · keeping a team on the same skills · which agent file does what.

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