Agent skill

Paper Review Coach

by rongxinzy in rongxinzy/RongxinAI

模拟学术同行评审,从原创性、方法论、结果、写作四个维度系统分析论文,给出明确的 Major/Minor Revision 建议和可操作的修改意见。当用户提出审稿请求,例如“帮我审一下论文”、“模拟审稿”、“给我的 paper 做 peer review”、“论文投稿前想找人看看”或提及自查、诊断、评审练习等场景时触发。

MITAuto-check passedResearch & Science

Install Paper Review Coach

skills CLI
$ npx skills add rongxinzy/RongxinAI --skill paper-review-coach -a claude-code

Project install by default; add -g for ~/.claude/skills/.

GitHub CLI
$ gh skill install rongxinzy/RongxinAI paper-review-coach --agent claude-code

Project scope by default; add --scope user for a personal install. Needs GitHub CLI 2.90.0 or later (public preview).

Manual copy
$ git clone --depth 1 https://github.com/rongxinzy/RongxinAI.git skills-src && mkdir -p .claude/skills && cp -r skills-src/SKILLs/paper-review-coach .claude/skills/paper-review-coach && rm -rf skills-src

Use ~/.claude/skills/ instead of .claude/skills for a personal install. The folder must contain SKILL.md.

Claude Code skills documentation · loads skills from .claude/skills/

Facts

Skill name
paper-review-coach
GitHub stars
154
Token cost
~1k tokens
SKILL.md length
130 words
Files
4
Skills in repo
94
Repo updated
First seen
Licence
MIT

At a glance

模拟学术同行评审,从原创性、方法论、结果、写作四个维度系统分析论文,给出明确的 Major/Minor Revision 建议和可操作的修改意见。当用户提出审稿请求,例如“帮我审一下论文”、“模拟审稿”、“给我的 paper 做 peer review”、“论文投稿前想找人看看”或提及自查、诊断、评审练习等场景时触发。

  • Works in 4 steps: 论文内容:摘要、全文、或需要评审的特定章节 → 学科领域:如计算机科学、生物医学、经济学、心理学等 → 目标期刊/会议(可选):如 Nature、ICML、The Lancet… → …
  • Tasks that involve Peer review
  • SKILL.md covers 输入要求, 四大评审维度, 评审严重性定义 and 输出格式, plus 2 more sections
  • Instructions only: no scripts, shell commands, URLs or credentials in SKILL.md

What it does

Paper Review Coach is an agent skill from rongxinzy/RongxinAI. 模拟学术同行评审,从原创性、方法论、结果、写作四个维度系统分析论文,给出明确的 Major/Minor Revision 建议和可操作的修改意见。当用户提出审稿请求,例如“帮我审一下论文”、“模拟审稿”、“给我的 paper 做 peer review”、“论文投稿前想找人看看”或提及自查、诊断、评审练习等场景时触发。

Its SKILL.md is about 1k tokens, which your agent loads only when the skill is triggered. The skill folder holds 4 other files (for example `zhiyuan/metadata.yaml`).

It sits in Research & Science, covering Peer review. The repository describes itself as: An all-in-one local AI Agent workspace with a fully self-developed stack. The licence is MIT.

When your agent uses it

  • Tasks that involve Peer review

Example prompts

  • “帮我审一下论文”
  • “给我的 paper 做 peer review”
  • “论文投稿前想找人看看”
  • “/paper-review-coach”

Workflow steps

4 steps, taken from the first numbered list in SKILL.md.

  1. 论文内容:摘要、全文、或需要评审的特定章节
  2. 学科领域:如计算机科学、生物医学、经济学、心理学等
  3. 目标期刊/会议(可选):如 Nature、ICML、The Lancet 等,用于校准评审标准
  4. 评审侧重点(可选):如用户特别关注方法论合理性或写作润色

What it can do on your machine

Read from SKILL.md and the folder at commit 9c64865. It shows what the files ask for, not the result of running them.

  • Tool permissions

    Pre-approves nothing: there is no allowed-tools line, so your agent's usual permission prompts apply.

    From allowed-tools in the SKILL.md frontmatter.

  • Runs code

    No scripts in the folder and no shell commands in SKILL.md.

    From the folder's file list and the shell code blocks in SKILL.md.

  • Network

    No URLs in SKILL.md.

    From URLs in SKILL.md, links to its own repository left out.

  • Credentials

    Names no API keys, tokens, secrets or passwords.

    From names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.

Context cost

Paper Review Coach loads about 1k tokens when it runs. Until then it costs about 45 tokens; SKILL.md has 130 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it
~45
When it runs · the whole SKILL.md, loaded when a task matches
~1k

Estimates: characters ÷ 4, the usual rule of thumb; real counts depend on the model's tokenizer. Scripts and assets cost tokens only if the agent reads them.

Safety

Auto-check passed

The automated check found no risky patterns in SKILL.md.

Automated static check — not a guarantee. Review scripts before installing. It scans the text of SKILL.md for risky patterns (piping downloads into a shell, reading credential files, hidden Unicode, destructive commands); files beside SKILL.md are not scanned.

SKILL.md

The full file from rongxinzy/RongxinAI at commit 9c64865, republished under its MIT licence (© rongxinzy). 130 words, ~1,001 tokens.

Download SKILL.mdSave it as .claude/skills/paper-review-coach/SKILL.md (or your agent's skills folder). This skill also uses 3 other files; get the full folder from GitHub.
name
paper-review-coach
description
模拟学术同行评审,从原创性、方法论、结果、写作四个维度系统分析论文,给出明确的 Major/Minor Revision 建议和可操作的修改意见。当用户提出审稿请求,例如“帮我审一下论文”、“模拟审稿”、“给我的 paper 做 peer review”、“论文投稿前想找人看看”或提及自查、诊断、评审练习等场景时触发。
license
MIT

Peer Review Simulator — 学术同行评审模拟器

你是一位资深学术审稿人,拥有跨学科的同行评审经验。当用户提交论文内容(摘要、全文或特定章节)时,你将从 原创性(Originality)、方法论(Methodology)、结果(Results)、写作(Writing) 四个核心维度进行系统评审,并给出结构化的 Major/Minor Revision 建议。


输入要求

请用户提供以下信息(至少提供前两项):

  1. 论文内容:摘要、全文、或需要评审的特定章节
  2. 学科领域:如计算机科学、生物医学、经济学、心理学等
  3. 目标期刊/会议(可选):如 Nature、ICML、The Lancet 等,用于校准评审标准
  4. 评审侧重点(可选):如用户特别关注方法论合理性或写作润色

若用户未指定目标期刊,按该学科领域高水平期刊的通用标准进行评审。


四大评审维度

维度一:原创性(Originality)

评估论文的学术创新程度和对现有知识体系的贡献。

评审要点:

  • 研究问题的新颖性:所研究的问题是否尚未被充分解决?是否提出了新的视角或框架?
  • 与现有工作的区分度:是否清晰阐述了与已有研究的区别?Related Work 是否充分覆盖了关键文献?
  • 贡献的显著性:研究结果是否对该领域有实质性推进?是增量改进还是范式突破?
  • 理论或实践价值:成果是否具有可推广性或实际应用前景?

常见问题示例:

  • Major:核心方法与已发表文献高度相似,未说明本质区别
  • Major:研究问题已被充分解决,缺乏新的贡献点
  • Minor:Related Work 遗漏了该领域的重要近期工作
  • Minor:贡献声明过于笼统,需要更精确地界定创新点
维度二:方法论(Methodology)

评估研究方法的科学性、合理性和可复现性。

评审要点:

  • 研究设计的合理性:实验设计是否能回答提出的研究问题?是否存在混淆变量或偏差?
  • 技术路线的严谨性:所用方法是否适合当前问题?假设条件是否合理且已充分说明?
  • 基线和对比实验:是否与合适的 baseline 进行了比较?对比是否公平(相同数据集、参数规模等)?
  • 可复现性:方法描述是否足够详细?是否提供了关键实现细节、超参数设置、代码或数据?
  • 统计方法:样本量是否充足?统计检验是否恰当?是否报告了置信区间或效应量?

常见问题示例:

  • Major:缺少消融实验,无法确认各组件的独立贡献
  • Major:未与当前 SOTA 方法进行比较,说服力不足
  • Major:样本量不足以支持统计结论,需要功效分析
  • Minor:超参数选择缺乏说明或敏感性分析
  • Minor:部分实验细节不够清晰,影响可复现性
维度三:结果(Results)

评估实验结果的可靠性、完整性和解释的合理性。

评审要点:

  • 结果的可靠性:实验是否有多次运行的结果?是否报告了标准差或置信区间?
  • 数据呈现的清晰度:图表是否清晰、准确、信息完整?数值精度是否合适?
  • 结果与结论的一致性:结论是否得到了实验数据的充分支持?是否存在过度解读或选择性报告?
  • 负面结果的处理:是否诚实地报告了不符合预期的结果?是否给出了合理解释?
  • 局限性分析:是否充分讨论了方法和结果的局限性?是否指出了未来改进方向?

常见问题示例:

  • Major:关键实验缺少误差棒或统计显著性检验
  • Major:结论声明超出了实验证据的支持范围
  • Major:仅选择性报告有利结果,可能存在报告偏差
  • Minor:部分图表分辨率低或标注不清
  • Minor:Limitation 部分过于简略,未讨论核心局限
维度四:写作(Writing)

评估论文的表达质量、逻辑结构和学术规范。

评审要点:

  • 整体结构:论文组织是否清晰?各章节之间是否逻辑连贯?
  • 摘要质量:摘要是否准确概括了研究问题、方法、主要发现和贡献?
  • 语言表达:英文写作是否流畅?是否存在语法错误、表述含糊或冗余?
  • 术语一致性:专业术语使用是否一致和准确?符号定义是否在首次出现时给出?
  • 引用规范:参考文献格式是否符合目标期刊要求?引用是否恰当(非自引过多、非遗漏关键文献)?
  • 篇幅控制:各章节长度是否合理?是否有明显冗余或不足?

常见问题示例:

  • Major:论文逻辑结构混乱,难以跟随论证主线
  • Minor:摘要未提及主要实验结果的定量指标
  • Minor:部分段落过长且缺乏主题句,建议拆分
  • Minor:英文表述有多处语法错误,建议请母语者润色
  • Minor:图表编号与正文引用不匹配

评审严重性定义

Major Revision(重大修改)

必须解决的核心问题,不解决则论文不具备发表条件:

  • 实验设计存在根本性缺陷
  • 关键对比实验缺失
  • 结论缺乏数据支撑或存在过度解读
  • 原创性不足,与已有工作区分不清
  • 技术方法存在明显错误
Minor Revision(次要修改)

建议改进的问题,修改后可显著提升论文质量:

  • 写作质量可以进一步提升
  • 部分细节描述不够清晰
  • 图表可以优化
  • 需补充额外的分析或讨论
  • 引用格式等规范性问题

输出格式

对用户提交的每篇论文,按以下结构输出评审报告:

## 📋 同行评审报告

### 总体评价

- **推荐决定**:[Accept / Minor Revision / Major Revision / Reject]
- **总体评分**:[1-10 分]
- **一句话总结**:[对论文的整体评价,包括主要优点和核心问题]

---

### 1. 原创性(Originality)

**评分**:[1-10]

**优点:**
- [列出原创性方面的亮点]

**问题与建议:**
- 🔴 **Major**:[问题描述] → [具体修改建议]
- 🟡 **Minor**:[问题描述] → [具体修改建议]

---

### 2. 方法论(Methodology)

**评分**:[1-10]

**优点:**
- [列出方法论方面的亮点]

**问题与建议:**
- 🔴 **Major**:[问题描述] → [具体修改建议]
- 🟡 **Minor**:[问题描述] → [具体修改建议]

---

### 3. 结果(Results)

**评分**:[1-10]

**优点:**
- [列出结果方面的亮点]

**问题与建议:**
- 🔴 **Major**:[问题描述] → [具体修改建议]
- 🟡 **Minor**:[问题描述] → [具体修改建议]

---

### 4. 写作(Writing)

**评分**:[1-10]

**优点:**
- [列出写作方面的亮点]

**问题与建议:**
- 🔴 **Major**:[问题描述] → [具体修改建议]
- 🟡 **Minor**:[问题描述] → [具体修改建议]

---

### 修改优先级清单

按重要性排序的修改建议,帮助作者高效改稿:

| 优先级 | 维度 | 类型 | 修改内容 |
|--------|------|------|----------|
| 1 | [维度] | Major | [简述] |
| 2 | [维度] | Major | [简述] |
| 3 | [维度] | Minor | [简述] |
| ... | ... | ... | ... |

---

### 给作者的整体建议

[2-3 段综合建议,包括论文的核心竞争力、最需要加强的方面、以及改稿策略建议]

评审原则

  1. 建设性且可操作:每条批评都必须附带具体到作者可直接执行的改进建议,不做纯粹否定
  2. 证据驱动:指出问题时引用论文中的具体段落、图表或数据
  3. 公平客观:同时指出论文的优点和不足,避免一味批评
  4. 标准校准:根据目标期刊/会议的水平校准评审严格程度(如 Nature/Science 级别的审稿标准 vs. 领域中等期刊)

补充说明

  • 如果用户提供了 PDF 文件,先使用 PDF 工具读取论文内容,再进行评审
  • 如果用户只提供了摘要,评审侧重于研究问题的新颖性、方法概述的合理性和写作质量,并建议用户提交完整论文以获得更全面的评审
  • 如果用户指定了评审侧重点,在相应维度上进行更深入细致的评审
  • 对于跨学科论文,从各相关学科的视角分别评审方法论的合理性

© rongxinzy, MIT. Rendered from Markdown: HTML in the file is shown as text, images as links, and headings moved down two levels. Raw file

Files

SKILL.md and 3 other files in SKILLs/paper-review-coach of rongxinzy/RongxinAI.

  • SKILL.md
  • LICENSE
  • zhiyuan/icon.png
  • zhiyuan/metadata.yaml

Open the folder on GitHubat commit 9c64865

Compare with similar skills

Paper Review Coach next to the 5 skills that share the most tags, products or categories with it. Stars are the repository's; “used in” counts other GitHub owners with a copy.

Paper Review Coach compared with similar skills
SkillStarsUsed inTokensAuto-checkLicenceRepo updated
Paper Review Coach this skillrongxinzy/RongxinAI154—~1kAutomated safety check: PassMIT
Peer Reviewspacering-net/codeg3.9k17 repos~5.9kAutomated safety check: NotesMIT
Scholar Evaluationspacering-net/codeg3.9k11 repos~3.2kAutomated safety check: PassMIT
Academic Paper Writing PipelineImbad0202/academic-research-skills51k—~16kAutomated safety check: PassCustom licence
Academic Paper ReviewerImbad0202/academic-research-skills51k—~11kAutomated safety check: PassCustom licence
Peer ReviewK-Dense-AI/claude-scientific-writer2.4k2 repos~3.1kAutomated safety check: NotesMIT

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Questions about Paper Review Coach

What does Paper Review Coach do?

模拟学术同行评审,从原创性、方法论、结果、写作四个维度系统分析论文,给出明确的 Major/Minor Revision 建议和可操作的修改意见。当用户提出审稿请求,例如“帮我审一下论文”、“模拟审稿”、“给我的 paper 做 peer review”、“论文投稿前想找人看看”或提及自查、诊断、评审练习等场景时触发。. Paper Review Coach is an agent skill from rongxinzy/RongxinAI.

When should I use Paper Review Coach?

Paper Review Coach fits situations like: tasks that involve Peer review.

How do I install Paper Review Coach in Claude Code?

Run `npx skills add rongxinzy/RongxinAI --skill paper-review-coach -a claude-code`. Or copy the skill folder (SKILLs/paper-review-coach in rongxinzy/RongxinAI) into .claude/skills/paper-review-coach in your project. Claude Code loads it when a task matches its description.

How do I install Paper Review Coach in Codex?

Run `npx skills add rongxinzy/RongxinAI --skill paper-review-coach -a codex`. Or copy the skill folder (SKILLs/paper-review-coach in rongxinzy/RongxinAI) into .agents/skills/paper-review-coach in your project. Codex loads it when a task matches its description.

Can I use Paper Review Coach in Cursor, Gemini CLI or GitHub Copilot?

Cursor, Gemini CLI, GitHub Copilot and OpenCode also load SKILL.md folders. With the skills CLI, run `npx skills add rongxinzy/RongxinAI --skill paper-review-coach -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/paper-review-coach, .gemini/skills/paper-review-coach, .github/skills/paper-review-coach and .opencode/skills/paper-review-coach in your project.

What does Paper Review Coach need to run?

SKILL.md names no scripts, command-line tools or credentials: Paper Review Coach is instructions for the agent only.

Does Paper Review Coach access the network?

SKILL.md contains no URLs. Any network use would come from the scripts or tools the agent runs. This is read from the text; nothing was executed.

Is Paper Review Coach safe to install?

Our automated static check of SKILL.md found no risky patterns, such as piping downloads into a shell, reading credential files or hidden Unicode. It is not a guarantee. Review the folder before installing.

What licence does Paper Review Coach use?

Paper Review Coach is published under the MIT licence (declared in SKILL.md). It allows redistribution, so the full SKILL.md is shown on this page.

How many tokens does Paper Review Coach use?

About 1k tokens (SKILL.md is roughly 4k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full.

What are the alternatives to Paper Review Coach?

Skills that share tags, products or a category with Paper Review Coach: Peer Review (spacering-net/codeg, 3.9k stars), Scholar Evaluation (spacering-net/codeg, 3.9k stars), Academic Paper Writing Pipeline (Imbad0202/academic-research-skills, 51k stars) and Academic Paper Reviewer (Imbad0202/academic-research-skills, 51k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.

Who maintains Paper Review Coach?

rongxinzy (a GitHub organization) maintains it in rongxinzy/RongxinAI, which has 154 GitHub stars. The repository holds 94 skills in this directory. The repository was last updated on October 10, 2026.

Source: rongxinzy/RongxinAI on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.