Token导航 LogoToken导航

Agent Skill · 研究检索

ppw%3areviewer-simulation(ppw%3aviewer 模拟)

ppw%3areviewer-simulation 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。

ppw%3areviewer-simulation 是研究检索类 Agent Skill,可用宿主为 Codex、Claude、Cursor、Gemini CLI,通过GitHub 仓库获取,权限为只读;许可证信息还不明确,暂无第三方扫描结果,按安装量在研究检索类的 73,675 个 Skill 里排第 57,864。

总安装 423周安装 18GitHub Stars 280下载 148核验 2026-05-01

安装说明

本站只整理中文说明,不托管安装包,也不代用户安装。
GitHub
许可证
unknown

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:ppw%3areviewer-simulation(ppw%3aviewer 模拟)
来源仓库:https://github.com/lylll9436/paper-polish-workflow-skill
仓库路径:skills/ppw%3Areviewer-simulation
安装命令:
npx skills add https://github.com/lylll9436/paper-polish-workflow-skill --skill ppw:reviewer-simulation
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/lylll9436/paper-polish-workflow-skill --skill ppw:reviewer-simulation

这个 Skill 是做什么的

研究检索类 Skill 主要解决「找资料、核对事实、把来源整理清楚」的问题,通常会让助手先检索再总结。

ppw%3areviewer-simulation 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。适用于研究检索类任务,可能用于模拟同行评审过程或反馈收集。

可通过 npx skills add 命令从指定 GitHub 仓库安装并使用。安装前建议确认权限范围和维护状态,避免触发联网或文件读写操作。适用宿主包括 Codex、Claude、Cursor、Gemini CLI,接入前应确认版本、权限和运行环境要求。

来源仓库内路径:skills/ppw%3Areviewer-simulation

上手步骤

4 步
  1. 1

    确认自己的宿主工具

    公开资料标注支持 Codex、Claude、Cursor、Gemini CLI;先确认自己用的是其中之一,再按对应工具的 Skills 目录放置。

  2. 2

    拿到安装命令

    可以直接复制的命令是 npx skills add https://github.com/lylll9436/paper-polish-workflow-skill --skill…;命令里的占位符换成自己的路径或密钥再执行。

  3. 3

    安装后重启宿主

    命令执行完要完全退出宿主工具再打开,让新装的 Skill 被重新扫描到,否则列表里可能看不到。

  4. 4

    按最小权限试用

    它标注为只读,先用只读任务试一次,确认行为符合预期再扩大使用范围。

常见问题

6 条

ppw%3areviewer-simulation 怎么安装?

在终端执行 npx skills add https://github.com/lylll9436/paper-polish-workflow-skill --skill ppw:review…。装完完全退出宿主工具再打开,让它重新扫描本地 Skill。

ppw%3areviewer-simulation 支持哪些 AI 工具?

公开资料标注支持 Codex、Claude、Cursor、Gemini CLI。其他工具只要能读取本地 Skill 目录,一般也能手动放进去,但要自己确认触发方式是否一致。

ppw%3areviewer-simulation 需要什么权限?

权限级别是只读。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。

ppw%3areviewer-simulation 是免费的吗?

公开资料没有标注明确许可证,收费和商用限制都无法确认。正式使用前请到来源仓库核对授权说明。

ppw%3areviewer-simulation 用的人多吗?

公开数据是累计安装 423 次,近一周安装 18 次,下载 148 次,GitHub 280 星。这些数字来自第三方目录统计,只能当作热度参考,不代表质量或安全性。

ppw%3areviewer-simulation 安全吗?

没有查到第三方扫描结果,安全性无法从公开资料判断,安装前请自行审查源码、依赖和命令行为。

值得选的地方和要先想清楚的地方

值得选的地方

  • 同时适配 4 种工具,换客户端不用重新找替代品。
  • 标注为只读权限,试用阶段不容易误改本地文件。

先想清楚的地方

  • 许可证没有明确标注,能不能商用、能不能再分发都不确定。
  • 没有第三方扫描结果,安全性只能靠自己读源码判断。
  • 第三方目录整理,版本更新和行为细节以来源仓库为准。

适不适合你

更适合

  • 已经在用 Codex,想直接扩展它能力的人。
  • 需要处理研究检索类任务、又不想每次都手写提示词的人。
  • 只想先试试效果、不希望它改动本地文件的人。

不太适合

  • 需要明确授权才能用到公司项目里的场景。
  • 要求有安全扫描结论才肯安装的团队。
  • 需要厂商级技术支持和 SLA 的生产系统。

研究检索类 Skill 对比

6 个同类
Skill总安装GitHub 星权限许可证扫描
find-skills

寻找技能 · Codex、Claude

31,199,81316,486操作浏览器MIT有提醒
self-improving-agent

自我改进 Agent · OpenClaw

16,464,0023,396接触敏感数据MIT-0通过
soultrace

灵魂追踪 · Codex、Claude

7,588,94412需要联网未明确有提醒
self-improving

自我完善 · OpenClaw

6,829,2841,046需要联网MIT-0通过
microsoft-foundry

微软代工厂 · Codex、Claude

6,614,144764调用外部服务未明确有提醒
ppw%3areviewer-simulation

ppw%3aviewer 模拟 · 本页

423280只读未明确未收录

按安装量取同分类前几名;数字来自第三方目录统计,只作热度参考,不代表质量结论。

SKILL.md 原文

Purpose

This Skill simulates peer review of academic papers, producing a structured bilingual review report. It assesses the paper across five dimensions (Novelty, Methodology, Writing Quality, Presentation, Significance) with 1-10 scoring, identifies major and minor concerns with actionable three-part feedback (problem, why it matters, suggestion), and delivers a verdict recommendation. When a target journal is specified, journal-specific expectations are woven into review comments. The report follows real journal review conventions and includes inline Chinese translations for every concern and the verdict.

Core Prompt

Source: awesome-ai-research-writing — 论文整体以 Reviewer 视角进行审视
# Role
你是一位以严苛、精准著称的资深学术审稿人,熟悉计算机科学领域顶级会议的评审标准。你的职责是作为守门员,确保只有在理论创新、实验严谨性和逻辑自洽性上均达到最高标准的研究才能被接收。

# Task
请深入阅读并分析我上传的【PDF论文文件】。基于我指定的【投稿目标】,撰写一份严厉但具有建设性的审稿报告。

# Constraints
1. 评审基调(严苛模式):
   - 默认态度:请抱着拒稿的预设心态进行审查,除非论文的亮点足以说服你改变主意。
   - 拒绝客套:省略所有无关痛痒的赞美,直接切入核心缺陷。你的目标是帮作者发现可能导致拒稿的致命伤,而不是让作者开心。

2. 审查维度:
   - 原创性:该工作是实质性的突破还是边际增量?如果是后者,直接指出。
   - 严谨性:数学推导是否有跳跃?实验对比是否公平(Baseline 是否齐全)?消融实验是否充分支撑了核心主张?
   - 一致性:引言中声称的贡献在实验部分是否真的得到了验证?

3. 格式要求:
   - 严禁列表化滥用:在陈述复杂逻辑时,请使用连贯段落。
   - 保持 LaTeX 纯净:不要使用无关的格式指令。

4. 输出格式:
   - Part 1 [The Review Report]:模拟真实的顶会审稿意见(使用中文)。包含以下板块:
     * Summary: 一句话总结文章核心。
     * Strengths: 简要列出 1-2 点真正有价值的贡献。
     * Weaknesses (Critical): 必须列出 3-5 个可能导致直接拒稿的致命问题(如:缺乏核心 Baseline,原理存在逻辑漏洞,创新点被过度包装)。
     * Rating: 给出预估评分(1-10分,其中 Top 5% 为 8分以上)。
   - Part 2 [Strategic Advice]:针对作者的中文改稿建议。
     * 直击痛点:用中文解释 Part 1 中的 Critical Weaknesses 到底因何而起。
     * 行动指南:具体建议作者该补什么实验、该重写哪段逻辑、或该如何降低审稿人的攻击欲。
   - 除以上两部分外,不要输出任何多余的对话。

# Execution Protocol
在输出前,请自查:
1. 你的语气是否太温和了?如果是,请重新审视那些模糊的实验结果,并提出尖锐的质疑。
2. 你指出的问题是否具体?不要说"实验不够",要说"缺少在 ImageNet 数据集上的鲁棒性验证"。

Trigger

Activates when the user asks to:

  • Review, peer-review, or simulate reviewer feedback for a paper
  • 审稿、模拟评审、模拟审稿人反馈

Example invocations:

  • "Review this paper" / "审稿这篇论文"
  • "Give me a peer review of my draft" / "模拟评审我的论文"
  • "Simulate a reviewer for my CEUS submission"
  • "帮我做一个模拟审稿"

Modes

ModeDefaultBehavior
directYesSingle-pass read-analyze-report workflow, produces complete review
batchNot supported -- review requires full-paper context

Default mode: direct. User says "review this paper" and gets a complete review report.

Mode inference: Default is always direct. There is no partial or iterative review mode.

References

Required (always loaded)

FilePurpose
references/expression-patterns.mdAcademic expression patterns overview for writing quality assessment

Leaf Hints (loaded based on paper sections)

FileWhen to Load
references/expression-patterns/introduction-and-gap.mdAssessing introduction or background sections
references/expression-patterns/methods-and-data.mdAssessing methods or data sections
references/expression-patterns/results-and-discussion.mdAssessing results or discussion sections
references/expression-patterns/conclusions-and-claims.mdAssessing conclusion sections
references/expression-patterns/geography-domain.mdPaper involves spatial, urban, or planning topics

Journal Template (conditional)

  • When user specifies a target journal, load references/journals/[journal].md.
  • If template missing, refuse: "Journal template for [X] not found. Available: CEUS."
  • Journal preferences inform review comments where relevant, but core dimensions and weights remain unchanged across all journals.

Loading Rules

  • Load expression patterns overview at the start.
  • Load section-specific leaves during analysis based on paper sections encountered.
  • Anti-AI patterns are NOT loaded by default. This is a review skill, not a detection skill.
  • If an expression pattern leaf is missing, proceed with general writing quality assessment and warn the user.

Ask Strategy

Before starting, ask about:

  1. Target journal (if not specified) -- determines whether journal-specific criteria appear in review
  2. Input source: file path or pasted text (if ambiguous from trigger)

Rules:

  • Never ask more than 2 questions before producing the review.
  • In direct mode, skip pre-questions if the user provided enough context in the trigger.
  • Use Structured Interaction when available; fall back to plain-text questions otherwise.

Workflow

Step 0: Workflow Memory Check

  • Read .planning/workflow-memory.json. If file missing or empty, skip to Step 1.
  • Check if the last 1-2 log entries form a recognized pattern with ppw:reviewer-simulation that has appeared >= threshold times in the log. See skill-conventions.md > Workflow Memory > Pattern Detection for the full algorithm.
  • If a pattern is found, present recommendation via AskUserQuestion:

- Question: "检测到常用流程:[pattern](已出现 N 次)。是否直接以 direct 模式运行 ppw:reviewer-simulation?" - Options: "Yes, proceed" / "No, continue normally"

  • If user accepts: set mode to direct, skip Ask Strategy questions.
  • If user declines or AskUserQuestion unavailable: continue in normal mode.

Step 1: Collect Context

  • Load references/expression-patterns.md overview.
  • If target journal specified, load references/journals/[journal].md. If template missing, refuse with message: "Journal template for [X] not found. Available: CEUS."
  • Read user input: file via Read tool, or pasted text from conversation.
  • Guard -- full paper required: If input is partial (only introduction, only methods, etc.), refuse with message: "This Skill requires the full paper for review. Please provide the complete manuscript."
  • Guard -- minimum length: If input is under ~300 words, warn: "Text appears too short for a full paper review. Provide the complete manuscript."
  • Record workflow: Append {"skill": "ppw:reviewer-simulation", "ts": "<ISO timestamp>"} to .planning/workflow-memory.json. Create file as [] if missing. Drop oldest entry if log length >= 50.

Step 2: Analyze Paper

  • Follow the Core Prompt constraints above as the primary instruction set — especially the 严苛模式 review stance.
  • Read the full paper to understand claims, evidence structure, and writing quality.
  • Load relevant expression pattern leaves based on paper sections encountered (introduction-and-gap.md for intro, methods-and-data.md for methods, etc.) to inform Writing Quality dimension.
  • If journal template loaded, cross-reference journal-specific expectations and note where the paper falls short of journal fit.
  • Assess across all five dimensions:

1. Novelty -- Is the contribution genuinely new? Incremental or transformative? 2. Methodology -- Is the experimental design sound? Baselines adequate? Ablation studies present? 3. Writing Quality -- Expression clarity, academic register, AI-sounding patterns, terminology consistency 4. Presentation -- Figure/table quality, section organization, flow between sections 5. Significance -- Does the work matter? Practical or theoretical impact?

  • IMPORTANT: Generate concerns FIRST, then derive dimension scores from the concerns. This prevents score-concern inconsistency.

Step 3: Generate Review Report

  • Opt-out check: Before generating the report, scan the user's original trigger prompt for any of these phrases (case-insensitive, exact phrase match): english only, no bilingual, only english, 不要中文. If any phrase is detected: omit all > **[Chinese]**... blockquotes from the report -- produce English-only concerns, questions, and verdict. If none detected: include Chinese blockquotes as normal.

Write the review report in the following locked structure:

# Peer Review Report

**Paper:** [title or filename]
**Target Journal:** [journal name or "General"]
**Date:** [date]

## Scoring Overview

| Dimension | Score (1-10) | Justification |
|-----------|:---:|---------------|
| Novelty | X | [one-line justification] |
| Methodology | X | [one-line justification] |
| Writing Quality | X | [one-line justification] |
| Presentation | X | [one-line justification] |
| Significance | X | [one-line justification] |

## Major Concerns

### Major Concern N: [Descriptive Title]

**Section:** [section name, e.g., "Results (Section 4)"]

**Problem:** [description of the issue]

**Why this matters:** [impact on quality or publishability]

**Suggestion:** [one-sentence directional guidance]

> **[Chinese]** [Chinese translation of all three parts]

## Minor Concerns

### Minor Concern N: [Descriptive Title]

[Same three-part structure with inline Chinese translation]

## Questions for Authors

1. [Question with enough context]
   > **[Chinese]** [Chinese translation]

## Verdict

**Recommendation:** [Accept / Minor Revision / Major Revision / Reject]

[One-sentence summary of the overall assessment]

> **[Chinese]** [Chinese translation of recommendation and summary]

Chinese translation rules:

  • Use inline blockquote format (> **[Chinese]**...) immediately after each concern's English text.
  • Preserve domain terminology precisely in Chinese (e.g., "ablation study" as "消融实验", not a generic paraphrase).
  • Each Chinese blockquote covers all three parts (problem, why, suggestion) in a single block.
  • The Verdict section also receives an inline Chinese translation.

Step 4: Output

  • File input: Write the review report to {input_filename_without_ext}_review.md in the same directory as the input file. If input filename is unclear, use review-report.md.
  • Pasted text input: Present the complete review report directly in conversation.
  • Report the total number of major concerns, minor concerns, and questions identified.

Output Contract

OutputFormatCondition
Review reportMarkdown file or conversation outputAlways
Scoring overview5-dimension table with 1-10 scoresAlways
Concern countSummary line (N major, N minor, N questions)Always reported

Edge Cases

SituationHandling
Input is partial (only one section)Refuse: "This Skill requires the full paper for review."
Input too short (< 300 words)Warn: "Text appears too short for a full paper review."
Input language is ChineseWarn and suggest Translation Skill first; proceed if user confirms
Journal template missing when journal specifiedRefuse: "Journal template for [X] not found. Available: CEUS."
No significant weaknesses foundProduce report with high scores; note strengths rather than fabricating concerns
Paper clearly outside journal scopeFlag as a Major Concern about journal fit

Fallbacks

ScenarioFallback
Structured Interaction unavailableAsk 1-2 plain-text questions (journal + input source)
Expression pattern reference missingProceed with general writing quality assessment; warn user
Journal template missing (no journal specified)Ask once; if declined, review with general academic criteria
Write tool fails for output filePresent report in conversation instead

*Skill: reviewer-simulation-skill* *Conventions: references/skill-conventions.md*

平台分布

Codex

34.6%
按下载量换算51

Claude

30.52%
按下载量换算45

Cursor

19.61%
按下载量换算29

Gemini CLI

9.13%
按下载量换算14

安全审计

暂无安全审计结果可展示。

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。目前只有一个公开来源,建议同时核对源仓库。

继续浏览同类 Skills