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Agent skill

Research Paper Refiner

by rongxinzy in rongxinzy/RongxinAI

学术论文英文润色助手，按学术写作标准逐段审查语法、用词、语态与逻辑衔接，输出修改建议与润色后的文本。当用户请求论文润色、语法检查、或提交英文论文片段寻求改进，例如说“帮我润色这段英文”、“这段论文语法有没有问题”、“改成学术英语”，或提及paper polishing、academic writing、manuscript editing、SCI润色等关键词时触发。

MITAuto-check passedResearch & Science

Install Research Paper Refiner

skills CLI
$ npx skills add rongxinzy/RongxinAI --skill research-paper-refiner -a claude-code

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

GitHub CLI
$ gh skill install rongxinzy/RongxinAI research-paper-refiner --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/research-paper-refiner .claude/skills/research-paper-refiner && 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
research-paper-refiner
GitHub stars
154
Token cost
~3.3k tokens
SKILL.md length
1,442 words
Files
4
Skills in repo
94
Repo updated
First seen
Licence
MIT

At a glance

学术论文英文润色助手，按学术写作标准逐段审查语法、用词、语态与逻辑衔接，输出修改建议与润色后的文本。当用户请求论文润色、语法检查、或提交英文论文片段寻求改进，例如说“帮我润色这段英文”、“这段论文语法有没有问题”、“改成学术英语”，或提及paper polishing、academic writing、manuscript editing、SCI润色等关键词时触发。

  • Works in 4 steps: 待润色文本：一段或多段英文论文内容 → 论文类型（可选）：期刊论文 / 会议论文 / 学位论文 / 综述 → 目标期刊/领域（可选）：如 Nature, IEEE, AAAI, 医学, 计算机等 → …
  • Tasks that involve Scientific writing
  • SKILL.md covers Quick Start, 一、审查维度总览（Review Dimensions）, 二、语法审查规则（Grammar Rules） and 三、用词优化规则（Word Choice）, plus 4 more sections
  • Instructions only: no scripts, shell commands, URLs or credentials in SKILL.md

What it does

Research Paper Refiner is an agent skill from rongxinzy/RongxinAI. 学术论文英文润色助手，按学术写作标准逐段审查语法、用词、语态与逻辑衔接，输出修改建议与润色后的文本。当用户请求论文润色、语法检查、或提交英文论文片段寻求改进，例如说“帮我润色这段英文”、“这段论文语法有没有问题”、“改成学术英语”，或提及paper polishing、academic writing、manuscript editing、SCI润色等关键词时触发。

Its SKILL.md is about 3.3k 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 Scientific writing. 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 Scientific writing

Example prompts

  • “帮我润色这段英文”
  • “这段论文语法有没有问题”
  • “改成学术英语”
  • “/research-paper-refiner”

Workflow steps

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

  1. 待润色文本：一段或多段英文论文内容
  2. 论文类型（可选）：期刊论文 / 会议论文 / 学位论文 / 综述
  3. 目标期刊/领域（可选）：如 Nature, IEEE, AAAI, 医学, 计算机等
  4. 润色侧重（可选）：全面润色 / 仅语法 / 仅用词 / 仅逻辑衔接

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

Research Paper Refiner loads about 3.3k tokens when it runs. Until then it costs about 52 tokens; SKILL.md has 1,442 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it
~52
When it runs · the whole SKILL.md, loaded when a task matches
~3.3k

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). 1,442 words, ~3,326 tokens.

Download SKILL.mdSave it as .claude/skills/research-paper-refiner/SKILL.md (or your agent's skills folder). This skill also uses 3 other files; get the full folder from GitHub.
name
research-paper-refiner
description
学术论文英文润色助手，按学术写作标准逐段审查语法、用词、语态与逻辑衔接，输出修改建议与润色后的文本。当用户请求论文润色、语法检查、或提交英文论文片段寻求改进，例如说“帮我润色这段英文”、“这段论文语法有没有问题”、“改成学术英语”，或提及paper polishing、academic writing、manuscript editing、SCI润色等关键词时触发。
license
MIT

Academic Paper Polisher — 学术论文英文润色知识库

帮助用户按照国际学术期刊标准，对英文论文进行逐段审查与润色。涵盖语法纠正、学术用词优化、语态规范、逻辑衔接强化、句式多样化等维度，输出修改建议与润色后文本。

Quick Start

用户只需提供：

  1. 待润色文本：一段或多段英文论文内容
  2. 论文类型（可选）：期刊论文 / 会议论文 / 学位论文 / 综述
  3. 目标期刊/领域（可选）：如 Nature, IEEE, AAAI, 医学, 计算机等
  4. 润色侧重（可选）：全面润色 / 仅语法 / 仅用词 / 仅逻辑衔接

示例：

"帮我润色这段 Introduction，目标期刊是 NeurIPS，希望语言更地道、逻辑更连贯。"

一、审查维度总览（Review Dimensions）

润色工作按以下 5 个维度逐项检查，每个维度独立评分并给出修改建议：

维度英文标签审查重点
语法Grammar主谓一致、时态、冠词、介词、从句结构、标点
用词Word Choice学术正式度、精确性、搭配、避免口语化
语态Voice & Tense主动/被动语态选择、时态一致性
逻辑衔接Coherence & Cohesion段内/段间过渡、论证链、信号词使用
句式Sentence Structure句式多样性、长短句搭配、并列与从属平衡

二、语法审查规则（Grammar Rules）

2.1 高频语法错误清单
错误类型错误示例修正说明
主谓不一致The results of the experiment shows...The results of the experiment show...主语是 results（复数）
冠词缺失/误用We propose method to solve...We propose a method to solve...可数名词单数需加冠词
悬垂修饰语Using the proposed method, the accuracy was improved.Using the proposed method, we improved the accuracy.分词短语的逻辑主语须与主句主语一致
Run-on sentenceThe model performs well , it achieves 95% accuracy.The model performs well**;** it achieves 95% accuracy. / The model performs well**. It** achieves 95% accuracy.逗号不能连接两个独立分句
不完整比较Our method is more efficient.Our method is more efficient than the baseline.比较级需明确比较对象
平行结构破坏The system can detect, classify, and is able to segment...The system can detect, classify, and segment...并列成分须保持相同语法形式
that/which 混淆The model which we proposed...The model that we proposed...限制性定语从句用 that
数词与名词These phenomenon indicate...These phenomena indicate...注意不规则复数
2.2 标点规范
规则正确用法常见错误
连续逗号（Oxford comma）A, B**,** and CA, B and C（学术写作推荐用 Oxford comma）
破折号We used three models — A, B, and C — for comparison.前后加空格的 em dash，或无空格的 em dash（取决于期刊风格）
冒号后大写独立句子时大写：The result is clear: The model outperforms...非独立片段时小写
引号与句号美式：period inside quotes. 英式：period outside quotes.根据目标期刊地区选择
缩写句号e.g., i.e., et al., etc.注意逗号：e.g., / i.e.,
2.3 时态规范（按论文章节）
章节推荐时态示例
Abstract过去时（描述做了什么）+ 现在时（描述结论）"We proposed a method... The results show that..."
Introduction现在时（描述现状/共识）+ 过去时（描述前人工作）"Deep learning has become... Smith et al. demonstrated that..."
Methods过去时（描述实验过程）"We trained the model on... The data were preprocessed..."
Results过去时（描述实验结果）"The model achieved 95% accuracy. Table 2 shows..."
Discussion现在时（解释意义）+ 过去时（引用结果）"This result suggests that... Our findings indicated that..."
Conclusion过去时（总结工作）+ 现在时（陈述贡献/意义）"We proposed and evaluated... This work contributes to..."

三、用词优化规则（Word Choice）

3.1 口语化 → 学术化替换表
口语化用词学术化替换语境说明
a lot ofnumerous / a substantial number of / considerable根据修饰对象选择
getobtain / acquire / achieve / attain根据搭配选择
showdemonstrate / illustrate / indicate / revealdemonstrate 强调证明；indicate 强调暗示
big / hugesubstantial / significant / considerable
thingfactor / aspect / element / component
goodeffective / favorable / advantageous / robust
badadverse / detrimental / suboptimal / inferior
useemploy / utilize / leverage / adoptutilize 比 use 更正式；leverage 强调优势利用
aboutapproximately / roughly / circa数值描述用 approximately
tryattempt / endeavor
look atexamine / investigate / analyze / explore
find outdetermine / ascertain / identify / discover
go up / go downincrease / decrease / rise / decline
point outhighlight / emphasize / underscore
deal withaddress / tackle / handle / mitigate
make sureensure / verify / confirm
kind of / sort ofsomewhat / to some extent / partially
start / begininitiate / commence / undertake
end / finishconclude / terminate / complete
helpfacilitate / enable / assist / contribute to
needrequire / necessitate
canis capable of / is able to / has the potential to避免过度替换，can 在学术写作中可接受
3.2 模糊表达 → 精确表达
模糊表达精确替代说明
very good resultsstatistically significant improvement / a 12% increase in accuracy用具体数据替代模糊形容
some researchersSeveral studies (Chen et al., 2023; Li et al., 2024)用具体引用替代模糊指代
recentlyIn the past five years / Since 2020给出时间范围
a fewthree / a small number of (n=3)明确数量
it is known thatPrior work has established that (citation)加引用支撑
this is importantThis is critical for / This has significant implications for说明为什么重要
3.3 冗余表达精简
冗余表达精简版本
in order toto
due to the fact thatbecause / since
at the present timecurrently / now
it is worth noting thatNotably, / Note that
it should be pointed out that（直接陈述内容）
a total of 50 samples50 samples
the vast majority ofmost
in the event thatif
has the ability tocan
on a daily basisdaily
in close proximity tonear
take into considerationconsider
is in agreement withagrees with
serves the function offunctions as

四、语态规范（Voice & Tense）

4.1 主动 vs. 被动语态选择
场景推荐语态示例
描述作者的操作主动（We）We trained the model using...
描述通用方法/已知事实被动The data were collected from...
强调动作对象被动The samples were analyzed using mass spectrometry.
描述结果主动优先Our method achieves 95% accuracy.
描述实验设备/材料被动The solution was heated to 100°C.
4.2 常见语态问题
问题错误示例修正
过度被动It was found by us that the results were improved by the method.We found that our method improved the results.
人称不一致The author proposes... We then evaluate...统一使用 We 或 The authors
无意义被动It can be seen that accuracy increases.Accuracy increases. / The results show that accuracy increases.
4.3 学术人称规范
人称使用场景注意事项
We描述本文作者的工作（最常用）即使单作者，许多期刊也接受 "We"
The authors更正式的替代部分期刊偏好此用法
I单作者学位论文部分期刊不接受
One泛指/假设性陈述较老式，现代学术写作较少用

五、逻辑衔接规则（Coherence & Cohesion）

5.1 段内衔接信号词
逻辑关系信号词/短语用法示例
补充Furthermore, Moreover, Additionally, In additionFurthermore, our method generalizes well to unseen data.
对比However, In contrast, Conversely, On the other hand, NeverthelessHowever, this approach suffers from high computational cost.
因果Therefore, Consequently, As a result, Hence, ThusTherefore, we adopt a two-stage training strategy.
举例For example, For instance, Specifically, In particularSpecifically, we focus on the image classification task.
强调Indeed, Notably, Importantly, It is worth noting thatNotably, the improvement is consistent across all datasets.
让步Although, Despite, Notwithstanding, While, Even thoughAlthough the model is simple, it achieves competitive results.
总结In summary, To summarize, Overall, In conclusionOverall, the proposed method outperforms existing baselines.
转折Yet, Still, Nonetheless, That saidThat said, there are several limitations to our approach.
顺序First, Second, Finally, Subsequently, ThenFirst, we preprocess the data. Subsequently, we train the model.
条件If, Provided that, Given that, Assuming thatGiven that the dataset is imbalanced, we apply oversampling.
Show full SKILL.md (526 more words)Show less
5.2 段间过渡模式
过渡模式说明示例首句
钩子句（Hook）上段末尾引出下段话题"This raises the question of how to efficiently scale the model."
回顾句（Recap）下段开头回顾上段结论"Having established the effectiveness of our approach, we now turn to..."
对比桥（Contrast Bridge）指出上段方法的不足，引出本段"While these methods achieve reasonable accuracy, they fail to address..."
问题桥（Question Bridge）以问题形式过渡"How can we overcome this limitation? In this section, we propose..."
主题句（Topic Sentence）每段首句概括本段核心论点"The key advantage of our method is its ability to..."
5.3 常见逻辑衔接问题
问题说明修正策略
跳跃式论证从 A 直接跳到 C，缺少 B 的过渡补充中间推理步骤或加过渡句
信号词滥用每句都以 However / Moreover 开头减少信号词，用句式变化体现逻辑
信号词误用用 Furthermore 表转折转折用 However；补充用 Furthermore
段落过长一段超过 8-10 句按论点拆分为 2-3 段
段落过短一段仅 1-2 句合并至相关段落或扩展论述
指代不清"This shows..." — this 指代什么？"This result shows..." / "This finding indicates..."

六、句式优化规则（Sentence Structure）

6.1 句式多样化策略
策略原句优化后
分词短语开头We use attention mechanism, and we improve accuracy.Leveraging the attention mechanism, we improve accuracy.
倒装强调The improvement is particularly notable in low-resource settings.Particularly notable is the improvement in low-resource settings.
插入语The model, which was proposed by Smith, achieves...The model, proposed by Smith (2023), achieves...
名词化We improved the model, and this led to...The improvement of the model led to...
平行结构The method is fast. It is also accurate. It is scalable too.The method is fast, accurate, and scalable.
状语前置Accuracy improved significantly when we added data augmentation.With data augmentation, accuracy improved significantly.
6.2 避免的句式问题
问题示例修正
过长句子（>40 词）We trained the model on the dataset which was collected from ... and preprocessed using ... and then evaluated on ...拆分为 2-3 个短句
连续短句The accuracy is high. The model is fast. It uses less memory.合并：The model achieves high accuracy with fast inference and low memory consumption.
There is/are 开头There are many studies that focus on...Many studies focus on...
It is...that 强调句过多It is the attention mechanism that improves...The attention mechanism improves...
名词堆砌deep learning image classification model performancethe performance of a deep learning model for image classification

七、按章节润色指南（Section-Specific Guide）

7.1 Abstract
  • 长度：150-300 词（遵循目标期刊要求）
  • 结构：背景（1-2句） → 问题/动机（1句） → 方法（2-3句） → 结果（1-2句） → 结论/意义（1句）
  • 时态：过去时描述工作，现在时描述结论
  • 禁忌：不引用参考文献、不使用缩写（首次出现需全称）、不包含图表编号
7.2 Introduction
  • 结构（经典"漏斗型"）：大背景 → 具体问题 → 现有方法及不足 → 本文方法/贡献 → 论文结构概述
  • 关键：每段须有明确的主题句；引用前人工作时客观评述，不贬低
  • 常用句式：
    • "In recent years, ... has attracted increasing attention."
    • "Despite significant progress, ... remains a challenge."
    • "To address this issue, we propose..."
    • "The main contributions of this paper are as follows:"
  • 策略：按主题分组（非按时间排列），每组内按时间顺序
  • 关键：指出每项工作与本文的关系；避免纯罗列，要有评述
  • 过渡：每组之间用过渡句连接
  • 常用句式：
    • "A closely related line of work focuses on..."
    • "In contrast to these approaches, our method..."
    • "Building upon the work of X, we extend..."
7.4 Methods
  • 原则：可复现性 — 读者应能根据描述复现实验
  • 结构：问题形式化 → 整体框架 → 各模块详述 → 训练/优化细节
  • 关键：数学符号首次出现时须定义；步骤按执行顺序描述
7.5 Results / Experiments
  • 结构：实验设置 → 主实验结果 → 消融实验 → 分析/讨论
  • 关键：先用文字描述趋势，再引用表格/图；避免重复图表中已有的数字
  • 常用句式：
    • "As shown in Table X, our method outperforms..."
    • "We observe a consistent improvement of X% across..."
    • "The ablation study reveals that..."
7.6 Discussion
  • 内容：解释结果的意义 → 与前人工作的对比 → 局限性 → 未来方向
  • 关键：不回避局限性；讨论应超越结果本身，探讨更广泛的意义
7.7 Conclusion
  • 长度：通常 1 段，150-250 词
  • 结构：总结方法 → 核心发现 → 意义/贡献 → 未来工作
  • 禁忌：不引入新信息/新数据；不简单重复 Abstract

八、润色输出格式（Output Format）

对用户提供的每一段文本，按以下格式输出：

### 原文（Original）
[用户提供的原始文本]

### 审查结果（Review）

| 维度 | 评级 | 主要问题 |
|------|------|---------|
| 语法 | ✓ 良好 / △ 需改进 / ✗ 问题较多 | 简述问题 |
| 用词 | ✓ / △ / ✗ | 简述问题 |
| 语态 | ✓ / △ / ✗ | 简述问题 |
| 逻辑衔接 | ✓ / △ / ✗ | 简述问题 |
| 句式 | ✓ / △ / ✗ | 简述问题 |

### 逐句修改（Detailed Changes）
1. **原句**: "..."
   **修改**: "..."
   **原因**: [具体说明修改理由，引用上述规则]

2. ...

### 润色后文本（Polished Version）
[完整的润色后段落]

九、学科特殊用语提示（Domain-Specific Notes）

不同学科有各自的写作惯例，润色时应尊重领域特点：

领域特点注意事项
计算机科学常用主动语态 "We"接受较口语化的表达（如 "we run"）；算法描述需精确
医学/生物被动语态为主"Patients were randomized..."；术语需符合 MeSH 标准
物理简洁、公式驱动数学推导表述要严谨；"one can show that..." 常见
社会科学较多限定语"may", "might", "suggests"；避免过于绝对的表述
工程结果导向强调性能指标和实验验证

十、Agent 行为指南

当用户提交文本要求润色时，按以下流程执行：

  1. 确认信息：论文类型、目标期刊/会议（如有）、润色侧重
  2. 识别章节：判断文本属于论文的哪个章节，应用对应章节规范
  3. 五维审查：按语法 → 用词 → 语态 → 逻辑衔接 → 句式逐项检查
  4. 逐句标注：对每处修改给出原因，引用具体规则
  5. 输出润色版本：给出完整的润色后文本
  6. 总结建议：概括主要问题类型和改进方向

核心原则：

  • 保留作者的原意和论证逻辑，不改变技术内容
  • 修改应最小化 — 能改一个词不改整句，能改整句不改整段
  • 对不确定是否为错误的地方，以建议形式提出而非直接修改
  • 术语以作者使用的为准，除非明显误用
  • 对用户标注"请保留"的内容不做修改

© 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/research-paper-refiner of rongxinzy/RongxinAI.

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

Open the folder on GitHubat commit 9c64865

Compare with similar skills

Research Paper Refiner 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.

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Citation ManagementK-Dense-AI/claude-scientific-writer2.4k2 repos~3.9kAutomated safety check: NotesMIT
Academic Paper Composerlishix520/academic-paper-skills1.4k2 repos~6.3kAutomated safety check: PassMIT
Academic Paper Writing PipelineImbad0202/academic-research-skills51k—~16kAutomated safety check: PassCustom licence

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Categories

Questions about Research Paper Refiner

What does Research Paper Refiner do?

学术论文英文润色助手，按学术写作标准逐段审查语法、用词、语态与逻辑衔接，输出修改建议与润色后的文本。当用户请求论文润色、语法检查、或提交英文论文片段寻求改进，例如说“帮我润色这段英文”、“这段论文语法有没有问题”、“改成学术英语”，或提及paper polishing、academic writing、manuscript editing、SCI润色等关键词时触发。. Research Paper Refiner is an agent skill from rongxinzy/RongxinAI.

When should I use Research Paper Refiner?

Research Paper Refiner fits situations like: tasks that involve Scientific writing.

How do I install Research Paper Refiner in Claude Code?

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

How do I install Research Paper Refiner in Codex?

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

Can I use Research Paper Refiner 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 research-paper-refiner -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/research-paper-refiner, .gemini/skills/research-paper-refiner, .github/skills/research-paper-refiner and .opencode/skills/research-paper-refiner in your project.

What does Research Paper Refiner need to run?

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

Does Research Paper Refiner 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 Research Paper Refiner 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 Research Paper Refiner use?

Research Paper Refiner 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 Research Paper Refiner use?

About 3.3k tokens (SKILL.md is roughly 13k 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 Research Paper Refiner?

Skills that share tags, products or a category with Research Paper Refiner: Nature-Style Scientific Figures (Yuan1z0825/nature-skills, 47k stars), Citation Verification Guide (Galaxy-Dawn/claude-scholar, 5.7k stars), Citation Management (K-Dense-AI/claude-scientific-writer, 2.4k stars) and Academic Paper Composer (lishix520/academic-paper-skills, 1.4k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.

Who maintains Research Paper Refiner?

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.