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Agent Skill · 待分类

paper-polish-workflow(纸张抛光工作流程)

paper-polish-workflow 用于处理 GitHub 仓库、Issue、Pull Request 和代码协作信息,适合在 Codex、Claude、Cursor、Gemini CLI 中需要围绕仓库状态、代码变更或协作事项进行整理时使用。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。

paper-polish-workflow 是待分类类 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,第三方扫描已通过,按安装量在待分类类的 11,209 个 Skill 里排第 3,634。

总安装 941周安装 40GitHub Stars 280下载 330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:paper-polish-workflow(纸张抛光工作流程)
来源仓库:https://github.com/lylll9436/paper-polish-workflow-skill
仓库路径:skills/paper-polish-workflow
安装命令:
npx skills add https://github.com/lylll9436/paper-polish-workflow-skill --skill paper-polish-workflow
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 paper-polish-workflow

这个 Skill 是做什么的

这个 Skill 的分类还没最终确定,用法以来源仓库的说明为准。

paper-polish-workflow 用于处理 GitHub 仓库、Issue 和 Pull Request 等协作信息。适合在项目开发中跟踪代码变更、维护状态或协调团队事项。通过 GitHub 安装,使用 npx skills add 命令集成到宿主环境。

注意该工具可能涉及仓库读取权限,需确保操作符合最小权限原则。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/paper-polish-workflow

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

paper-polish-workflow 怎么安装?

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

paper-polish-workflow 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。

paper-polish-workflow 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。

paper-polish-workflow 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。

paper-polish-workflow 用的人多吗?

公开数据是累计安装 941 次,近一周安装 40 次,下载 330 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。

paper-polish-workflow 安全吗?

第三方扫描结果为通过,但这只覆盖已知的静态检查项,不能替代自己读一遍源码和安装命令。

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。
  • 第三方扫描已通过,常见的高风险行为没有命中。
  • 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。
  • 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。
  • 需要处理待分类类任务、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。
  • 需要厂商级技术支持和 SLA 的生产系统。

待分类类 Skill 对比

6 个同类
Skill总安装GitHub 星权限许可证扫描
infsh-cli

infsh CLI · Codex、Claude

4,374,576382权限未标注未明确未收录
ai-video-generation

AI 视频生成 · Codex、Claude

4,313,376382调用外部服务未明确有提醒
lark-openapi-explorer

云雀 OpenAPI 浏览器 · Codex、Claude

2,064,1209,011需要联网未明确有提醒
lark-workflow-standup-report

Lark 工作流程站立报告 · Codex、Claude

2,041,6328,978需要联网未明确通过
use-my-browser

使用我的浏览器 · Codex、Claude

1,848,49140操作浏览器未明确未通过
paper-polish-workflow

纸张抛光工作流程 · 本页

941280只读未明确通过

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 provides a systematic, top-down workflow for polishing academic papers. It works from structure to logic to expression, with user confirmation at each decision point. Expression options are drawn from reference-driven academic patterns rather than ad hoc rewrites, ensuring professional and consistent output suitable for journal submission.

Trigger

Activates when the user asks to:

  • Polish, revise, or improve an academic paper section by section
  • 润色、精修、逐步改进学术论文

Example invocations:

  • "Polish my paper section by section" / "润色论文"
  • "Help me revise my introduction step by step" / "精修论文"
  • "Guide me through polishing this draft" / "帮我逐步润色这篇论文"

Modes

ModeDefaultBehavior
interactiveYesFull 4-step flow with user confirmation at each decision point
guidedMulti-pass with confirmation at key checkpoints only
directSingle-pass polish using defaults; skip AskUserQuestion
batchSame operation applied across multiple sections sequentially

Default mode: interactive

Mode inference: "quickly" or "just fix" switches to direct. "step by step" or "逐步" confirms interactive (already default).

References

Required (always loaded)

FilePurpose
references/expression-patterns.mdAcademic expression patterns overview and module index

Leaf Hints (loaded when needed)

FileWhen to Load
references/expression-patterns/introduction-and-gap.mdPolishing introduction or background content
references/expression-patterns/methods-and-data.mdPolishing methods, data, or study area content
references/expression-patterns/results-and-discussion.mdPolishing results or discussion content
references/expression-patterns/conclusions-and-claims.mdPolishing conclusion content
references/expression-patterns/geography-domain.mdContent involves spatial, urban, or planning topics
references/anti-ai-patterns.mdPolishing expression (Step 3) -- screen for AI-sounding phrases
references/journals/ceus.mdTarget journal is CEUS

Loading Rules

  • Load expression patterns overview at start; select the appropriate leaf based on section type.
  • Load anti-AI patterns when polishing expression (Step 3).
  • Load journal template when target journal is specified.
  • Load geography-domain.md when spatial, urban, or planning content is detected.
  • If a reference file is missing, warn the user and proceed with reduced capability.

Ask Strategy

Before starting, ask about:

  1. Target journal (if not already known)
  2. Which section to work on
  3. Preferred mode (if ambiguous from trigger)

Rules:

  • Never ask more than 3 questions before producing initial output.
  • In direct mode, skip pre-questions if the user provided enough context.
  • In batch mode, skip per-item questions; apply settings from the first item.
  • Use Structured Interaction when available; fall back to plain-text questions otherwise.
  • See skill-conventions.md > AskUserQuestion Enforcement for full rules.

Workflow

Step 1: Collect Context

  • Determine input type (file path or pasted text).
  • Load required references (expression-patterns overview).
  • Identify target journal; load journal template if specified.
  • Read input content using the Read tool; extract key numbers, claims, and data points.
  • Locate example/reference papers if the user provides them (use Read tool for PDFs).
  • In interactive or guided mode: confirm scope with the user before proceeding.

Step 2: Structure & Logic Confirmation

  • Analyze section macro structure (e.g., Abstract = Background + Gap + Method + Results + Contribution).
  • Present a structure table for user confirmation.
  • Break content into sentences; assign a logic function to each.
  • Present the logic chain for user confirmation.
  • Checkpoint: user confirms structure and logic before expression work begins.
  • In direct mode: run structure and logic analysis internally, proceed to Step 3 automatically.

Step 3: Expression Polish & Consistency

  • Load the section-appropriate expression pattern leaf and anti-AI patterns.
  • For each sentence with expression issues, present 2-3 options via AskUserQuestion (interactive mode) or apply the best option automatically (direct mode).
AskUserQuestion({
  question: "Which expression do you prefer for [sentence function]?",
  options: [
    { label: "[Expression A]", description: "[full sentence with expression A]" },
    { label: "[Expression B]", description: "[full sentence with expression B]" },
    { label: "[Expression C]", description: "[full sentence with expression C]" }
  ]
})
  • Reference paper consultation: when the user questions professionalism, use the Read tool to load example papers and extract expression patterns.
  • Journal style check: apply journal-specific requirements from the loaded template.
  • Repetition and coherence pass: check for repeated expressions and missing transitions; suggest fixes.
  • Cross-section consistency: verify numbers, terminology, and claims across sections.

Step 4: Output

  • Generate highlights if the journal requires them (for CEUS, see references/journals/ceus.md).
  • Suggest a read-aloud final check to catch awkward phrasing.
  • Compile all confirmed content into the final version.
  • Present the final version with word count for user confirmation.
  • Write to *_polished.md after confirmation (or automatically in batch mode).
  • Report word count and any journal constraint notes.

Output Contract

OutputFormatCondition
polished_textMarkdown file (*_polished.md) or conversation outputAlways produced
change_summaryMarkdown in sessionAlways produced
Word countIntegerAlways reported
Journal compliance notesBullet listWhen a target journal is specified

Edge Cases

SituationHandling
Unprofessional word flaggedPresent 2-3 alternatives via AskUserQuestion; accept if user insists
Section too long for single passSplit into paragraph-level sub-passes; maintain cross-paragraph coherence
No journal specifiedDefault to general academic style; note in output
Mixed language inputDetect dominant language; ask user to confirm target language
Reference paper provided as PDFUse Read tool to load PDF; extract style patterns for expression matching
Abrupt sentence transitionProvide transition options via AskUserQuestion
Repetition detected between sectionsIdentify repeated content; suggest which occurrence to rephrase
Logic structure needs modificationReturn to Step 2 to re-confirm structure before continuing

Fallbacks

ScenarioFallback
Structured Interaction unavailableAsk 1-3 plain-text questions covering highest-impact gaps; do not block workflow
Reference file missingLog the missing file, proceed with reduced capability, warn the user
Target journal not specifiedAsk once; if declined, use general academic style
PDF reference paper unreadableAsk user to paste relevant excerpts instead

*Skill: paper-polish-workflow* *Conventions: references/skill-conventions.md*

平台分布

Codex

34.85%
按下载量换算115

Claude

32.24%
按下载量换算106

Cursor

20.93%
按下载量换算69

Gemini CLI

9.58%
按下载量换算32

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。目前只有一个公开来源,建议同时核对源仓库。

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