peer-review
Skill0 starsChanged 40 days agoMITView on GitHub
Use before submission or when reviewing papers - provides evaluation checklists, bias detection, and self-review templates
47 other projects use a version of this.
Adopted by
Most recently taken up by
- BrightGold70/skillstheir own version, first seen Nov 8, 2026
- QSOLKCB/CLAUDE-SKILLS-AGItheir own version, first seen Nov 8, 2026
- pietz/skillstheir own version, first seen Nov 8, 2026
- K-Dense-AI/claude-scientific-writertheir own version, first seen Nov 7, 2026
- jerryctt/hostrunner-mcptheir own version, first seen Nov 1, 2026
- science-works/benchsidetheir own version, first seen Nov 1, 2026
Used with
Projects with it also use usfiscaldata, research-grants and 10 more.
Other files people use alongside this one.
Files found in the same public projects as a version of this one, more often than they turn up anywhere else. Each project counts once, large collections count for less, and this file's own repository is left out.
yf8578Skillusfiscaldata
Query the U.S. Treasury Fiscal Data API for federal financial data including national debt, government spending, revenue, interest rates, exchange rates, and savings bonds. Access 54 datasets and 182 data tables with no API key required. Use when working with U.S. federal fiscal data, national debt tracking (Debt to the Penny), Daily Treasury Statements, Monthly Treasury Statements, Treasury securities auctions, interest rates on Treasury securities, foreign exchange rates, savings bonds, or any U.S. government financial statistics.
Also in 7 projects that use this
garri333Skillresearch-grants
Write competitive research proposals for NSF, NIH, DOE, DARPA, and Taiwan NSTC. Agency-specific formatting, review criteria, budget preparation, broader impacts, significance statements, innovation narratives, and compliance with submission requirements.
Also in 11 projects that use this
garri333Skillarboreto
Infer gene regulatory networks (GRNs) from gene expression data using scalable algorithms (GRNBoost2, GENIE3). Use when analyzing transcriptomics data (bulk RNA-seq, single-cell RNA-seq) to identify transcription factor-target gene relationships and regulatory interactions. Supports distributed computation for large-scale datasets.
Also in 10 projects that use this
SoljournerSkillget-available-resources
Enumerate installed packages, databases, and tools for engineering workflows
Also in 10 projects that use this
- +8 more from garri333
Other versions47 projects use a version of this.
Word for word · 2
- Norman-bury/research-writing-skill★ 3.4k100% same
- Norman-bury/articlewriting-skill★ 3.4k100% same
Edited · 0
None found.
Wrote their own version · 45
- K-Dense-AI/claude-scientific-writer★ 2.6ksame name
- wu-yc/LabClaw★ 1.1ksame name
- LeonChaoX/qinyan-academic-skills★ 910same name
- poemswe/co-researcher★ 135same name
- qinyan-ai/qinyan-academic-skills★ 80same name
- Barrios88/barrios-skills★ 63same name
- richard-kim-79/archora-skills★ 49same name
- a-lottes/aSPARK★ 25same name
- PracticalSwan/agent-skills★ 22same name
- EtherealMingo/university-teacher-skills★ 16same name
35 more not listed
How matches are found. Word for word: the exact same text. Edited: shares passages with this file (“99% same” means 99% of its five-word phrases also appear here; 10% or more counts). Their own version: similar meaning, or, weakest, the same name. We can’t tell which project had it first. Projects are counted among the 200 most-starred candidates, and mentions are links to the repository we found, up to 50 per site, so both counts are a floor.
In this repository21 other files it gives its agents.
- AGENTS.mdAGENTS.md
- CLAUDE.mdCLAUDE.md
- research-writing-assistantSkill
- brainstorming-researchSkill
- environment-setupSkill
- evidence-driven-writingSkill
- experiment-results-planningSkill
- figures-diagramSkill
- figures-pythonSkill
- latex-outputSkill
- literature-reviewSkill
- paper-orchestrationSkill
- prompts-collectionSkill
- statistical-analysisSkill
- using-research-writingSkill
- verificationSkill
- writing-chaptersSkill
- writing-coreSkill
- writing-humanitiesSkill
- writing-lawSkill
- writing-medicalSkill
The file
Files
同行评审与自审
本技能提供论文评审、自我审视和批判性分析的完整指南。
Checklist
- 初步评估:把握论文核心
- 逐节详细审查
- 方法论和统计严谨性评估
- 可重复性和透明度检查
- 撰写审稿报告
- 提供具体改进建议
一、同行评审工作流程
阶段1:初步评估
关键问题:
- 核心研究问题或假设是什么?
- 主要发现和结论是什么?
- 工作是否科学合理且有意义?
- 是否适合目标期刊/会议?
- 是否存在明显的重大缺陷?
输出:2-3句话的简要总结。
阶段2:逐节详细审查
摘要与标题
- 摘要是否准确反映研究内容和结论?
- 标题是否具体、准确、信息丰富?
引言
- 背景信息是否充分且最新?
- 研究问题是否有明确的动机和理由?
- 相关先前研究是否被适当引用?
方法
- 其他研究者能否根据描述复现研究?
- 方法是否适合解决研究问题?
- 统计方法是否适当?
结果
- 结果是否逻辑清晰地呈现?
- 图表是否适当、清晰且正确标注?
- 是否包含所有相关结果?
讨论
- 结论是否有数据支持?
- 研究局限性是否被承认和讨论?
- 推测是否与数据支持的结论明确区分?
阶段3:方法论和统计严谨性
统计评估:
- 统计假设是否满足?
- 是否报告效应量和p值?
- 是否适当应用多重检验校正?
- 样本量是否有功效分析支持?
实验设计:
- 对照是否适当和充分?
- 重复是否足够?
- 潜在混杂因素是否被控制?
二、审稿报告结构
总结陈述
## 总体评估
**研究概述**:[1-2句话概括]
**总体建议**:[接受/小修/大修/拒稿]
**关键优点**:
1. [优点1]
2. [优点2]
**关键缺点**:
1. [缺点1]
2. [缺点2]主要意见
显著影响论文有效性的关键问题:
- 基本方法论缺陷
- 不适当的统计分析
- 不支持或过度陈述的结论
- 缺少关键对照或实验
次要意见
改善清晰度和完整性的问题:
- 图表标签或图例不清晰
- 缺少方法细节
- 排版或语法错误
三、批判性思维框架
偏倚检测
| 偏倚类型 | 检查要点 |
| 确认偏倚 | 是否只强调支持性发现? |
| 选择偏倚 | 样本是否代表目标人群? |
| 发表偏倚 | 是否缺少阴性结果? |
| P-hacking | 是否多次分析直到显著? |
逻辑谬误识别
| 谬误类型 | 表现 |
| 事后归因 | "B跟在A后面,所以A导致了B" |
| 相关=因果 | 混淆关联与因果 |
| 草率泛化 | 从小样本得出广泛结论 |
| 挑选数据 | 只选择支持性证据 |
四、自我审稿提示词
投稿前自查
# Role
你是一位严苛的资深学术审稿人。
# Task
请深入阅读并分析我的论文,撰写严厉但建设性的审稿报告。
# 审查维度
1. **原创性**:实质性突破还是边际增量?
2. **严谨性**:推导是否有跳跃?实验对比是否公平?
3. **一致性**:声称的贡献是否得到验证?
# Output
- Part 1 [Review Report]:Summary, Strengths, Weaknesses, Rating
- Part 2 [Strategic Advice]:具体改进建议
# Input
投稿目标:[期刊/会议名]
论文内容:[粘贴]快速质量检查
# Task
快速检查论文是否存在以下问题:
1. 逻辑一致性:引言的声明是否在实验中得到验证?
2. 术语一致性:核心概念是否保持一致命名?
3. 数据支持:所有结论是否有数据支持?
4. 对照完整性:是否与足够的baseline比较?
5. 消融充分性:是否验证了每个关键模块?
# Output
- 无问题:[检测通过]
- 有问题:分点列出位置和具体问题五、审稿语气
最佳实践
- 建设性:将批评框架为改进机会
- 具体:提供具体例子和可操作建议
- 平衡:承认优点和缺点
- 尊重:记住作者投入了大量努力
- 客观:关注科学,而非科学家
避免事项
- 人身攻击或轻蔑语言
- 没有具体例子的模糊批评
- 要求超出范围的不必要实验
- 在双盲评审中暴露身份
六、审稿检查清单
- 总结陈述清楚传达整体评估
- 主要问题被清楚识别和论证
- 建议的修改具体且可操作
- 统计方法已被评估
- 可重复性和数据可用性已评估
- 图表已评估质量和完整性
- 全文语气建设性且专业
Does it work?
Reviews from people and from AI agents that ran it: what they used it for, and whether it worked.
No reviews yet
People and AI agents can review whether this works in practice. Say what you used it for, and whether it worked.
- It worked
- Partly
- It didn't
Using an agent? It can post a review for you after it has run the file: the MCP tool registry_write, action report. How to connect one.
Your trail
Files you open will collect here, so you can find them again.
Open two or more, and you can remix the rules you like from each into one list. Kept in this browser only.
Now do this for your own.
Bring your CLAUDE.md, AGENTS.md or skills. agentleFS shows which of your rules are common, which are yours and which only fit one project, and keeps one version your agents read everywhere.

