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review-paper评论论文

Agent Skill

review-paper 用于查找、检索和筛选相关信息,适合在 Codex、Claude、Cursor、Gemini CLI 中需要根据关键词、任务场景或来源线索快速定位候选结果时使用。可结合来源仓库、安装命令和原始 README 继续核验具体用法。安装前建议确认权限范围、维护状态,以及是否会触发联网、命令执行或文件读写。

总安装

612

周安装

25

GitHub Stars

1,007

下载量

196
CodexClaudeCursorGemini CLI

安装说明

本站只整理中文说明和来源信息,不托管安装包,也不代用户安装。

GitHub

来源数

2

许可证

unknown

最后核验

2026-05-01

来源状态

来源可访问

安装方式

通过对话安装

复制提示词发给支持本地命令或 Skills 的 AI 助手,先确认命令和权限,再让它执行。

请帮我安装这个 Agent Skill:review-paper(评论论文)
来源仓库:https://github.com/pedrohcgs/claude-code-my-workflow
仓库路径:skills/review-paper
安装命令:
npx skills add https://github.com/pedrohcgs/claude-code-my-workflow --skill review-paper
安装前请先检查当前环境是否支持对应 CLI,并向我确认将要执行的命令、安装目录、联网范围和文件读写权限;确认后再执行。

命令行安装

复制命令到本机终端执行。该命令会通过 npx skills 从第三方来源获取 Skill;本站只展示命令,不托管安装包,也不自动执行。

skills.shnpx skills
npx skills add https://github.com/pedrohcgs/claude-code-my-workflow --skill review-paper

简介

review-paper 用于查找、检索和筛选相关信息,适合在 Codex、Claude、Cursor、Gemini CLI 中需要根据关键词、任务场景或来源线索快速定位候选结果时使用。

  • 适用于学术论文检索、文献综述和技术趋势分析等研究检索类任务场景。
  • 通过关键词匹配和来源筛选支持对学术资源的定向获取。
  • 安装前建议确认权限范围和维护状态,以及是否会触发联网或文件读写操作。
  • 可结合来源仓库和原始 README 文档核验具体用法和功能边界。

SKILL.md

Manuscript Review

Produce a thorough, constructive review of an academic manuscript — the kind of report a top-journal referee would write.

Input: $ARGUMENTS — path to a paper (.tex,.pdf, or.qmd), or a filename in master_supporting_docs/.


Steps

  1. Locate and read the manuscript. Check:

- Direct path from $ARGUMENTS - master_supporting_docs/supporting_papers/$ARGUMENTS - Glob for partial matches

  1. Read the full paper end-to-end. For long PDFs, read in chunks (5 pages at a time).
  2. Evaluate across 6 dimensions (see below).
  3. Generate 3-5 "referee objections" — the tough questions a top referee would ask.
  4. Produce the review report.
  5. Save to quality_reports/paper_review_[sanitized_name].md

Review Dimensions

1. Argument Structure

  • Is the research question clearly stated?
  • Does the introduction motivate the question effectively?
  • Is the logical flow sound (question → method → results → conclusion)?
  • Are the conclusions supported by the evidence?
  • Are limitations acknowledged?

2. Identification Strategy

  • Is the causal claim credible?
  • What are the key identifying assumptions? Are they stated explicitly?
  • Are there threats to identification (omitted variables, reverse causality, measurement error)?
  • Are robustness checks adequate?
  • Is the estimator appropriate for the research design?

3. Econometric Specification

  • Correct standard errors (clustered? robust? bootstrap?)?
  • Appropriate functional form?
  • Sample selection issues?
  • Multiple testing concerns?
  • Are point estimates economically meaningful (not just statistically significant)?

4. Literature Positioning

  • Are the key papers cited?
  • Is prior work characterized accurately?
  • Is the contribution clearly differentiated from existing work?
  • Any missing citations that a referee would flag?

5. Writing Quality

  • Clarity and concision
  • Academic tone
  • Consistent notation throughout
  • Abstract effectively summarizes the paper
  • Tables and figures are self-contained (clear labels, notes, sources)

6. Presentation

  • Are tables and figures well-designed?
  • Is notation consistent throughout?
  • Are there any typos, grammatical errors, or formatting issues?
  • Is the paper the right length for the contribution?

Output Format

# Manuscript Review: [Paper Title]

**Date:** [YYYY-MM-DD]
**Reviewer:** review-paper skill
**File:** [path to manuscript]

## Summary Assessment

**Overall recommendation:** [Strong Accept / Accept / Revise & Resubmit / Reject]

[2-3 paragraph summary: main contribution, strengths, and key concerns]

## Strengths

1. [Strength 1]
2. [Strength 2]
3. [Strength 3]

## Major Concerns

### MC1: [Title]
- **Dimension:** [Identification / Econometrics / Argument / Literature / Writing / Presentation]
- **Issue:** [Specific description]
- **Suggestion:** [How to address it]
- **Location:** [Section/page/table if applicable]

[Repeat for each major concern]

## Minor Concerns

### mc1: [Title]
- **Issue:** [Description]
- **Suggestion:** [Fix]

[Repeat]

## Referee Objections

These are the tough questions a top referee would likely raise:

### RO1: [Question]
**Why it matters:** [Why this could be fatal]
**How to address it:** [Suggested response or additional analysis]

[Repeat for 3-5 objections]

## Specific Comments

[Line-by-line or section-by-section comments, if any]

## Summary Statistics

| Dimension | Rating (1-5) |
|-----------|-------------|
| Argument Structure | [N] |
| Identification | [N] |
| Econometrics | [N] |
| Literature | [N] |
| Writing | [N] |
| Presentation | [N] |
| **Overall** | **[N]** |

Principles

  • Be constructive. Every criticism should come with a suggestion.
  • Be specific. Reference exact sections, equations, tables.
  • Think like a referee at a top-5 journal. What would make them reject?
  • Distinguish fatal flaws from minor issues. Not everything is equally important.
  • Acknowledge what's done well. Good research deserves recognition.
  • Do NOT fabricate details. If you can't read a section clearly, say so.

适合场景

01

用户想查找某类 Agent Skill 时

02

需要根据任务场景推荐可安装能力包时

03

需要对比不同来源的安装命令和来源信息时

能力概览

能力 1

按任务关键词查找相关 Skills

能力 2

展示可复制的安装命令

能力 3

保留来源站点、仓库和原始说明,方便继续核验

能力 4

展示第三方安全扫描或审计结果

安装后应在对应宿主中按原始 README 的触发条件使用;具体调用方式请以来源页面和 README 为准。

平台分布

Codex

34.25%
按下载量换算67

Claude

31.72%
按下载量换算62

Cursor

20.72%
按下载量换算41

Gemini CLI

10.21%
按下载量换算20

安全审计

Gen Agent Trust Hub

通过

Socket

通过

Snyk

通过

权限和风险

只读

该 Skill 主要提供规则、说明或参考内容,本身偏只读;真正读写文件、联网或执行命令仍取决于宿主 Agent 的任务。

安装前确认

本站仅展示第三方公开信息,不托管安装包,不提供自动安装或运行环境。安装前应自行审查源码、依赖和命令行为。当前只有一个来源,正式发布前建议补源仓库或其他目录站核验。

来源信息

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