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Agent Skill · 研究检索

latex-paper-en(乳胶纸 en)

latex-paper-en 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。

latex-paper-en 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,第三方扫描有提醒项,按安装量在研究检索类的 73,675 个 Skill 里排第 5,516。

总安装 25,608周安装 1,137GitHub Stars 164下载 8,976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:latex-paper-en(乳胶纸 en)
来源仓库:https://github.com/bahayonghang/academic-writing-skills
仓库路径:skills/latex-paper-en
安装命令:
npx skills add https://github.com/bahayonghang/academic-writing-skills --skill latex-paper-en
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/bahayonghang/academic-writing-skills --skill latex-paper-en

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。

通过有针对性的基于模块的检查来编译、审核和改进英语 LaTeX 会议和期刊论文。支持12个专业模块,涵盖编译、格式化、参考书目验证、语法、句子清晰度、逻辑流程、表达修饰、翻译、标题优化、图形质量、伪代码审查和实验部分分析。默认保留 LaTeX 语法、引文、参考文献、标签和数学环境;以差异注释风格返回结果,以便于集成。

专为 IEEE、ACM、Springer、NeurIPS 和 ICML 提交工作流程而设计;包括特定于场地的格式期望和审稿人视角启发法。将请求路由到最小的匹配模块,以保持工作流程低摩擦;支持特定于章节的分析和可选的参考书目路径。

来源仓库内路径:skills/latex-paper-en

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/bahayonghang/academic-writing-skills --skill l…;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

latex-paper-en 怎么安装?

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

latex-paper-en 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。

latex-paper-en 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。

latex-paper-en 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。

latex-paper-en 用的人多吗?

公开数据是累计安装 25,608 次,近一周安装 1,137 次,下载 8,976 次,GitHub 164 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。

latex-paper-en 安全吗?

第三方扫描有提醒项,说明存在需要人工确认的行为。安装前请打开源码看清它读了什么、联网到哪里。

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。
  • 第三方扫描存在提醒项或未通过项,需要人工逐条确认。
  • 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。
  • 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
latex-paper-en

乳胶纸 en · 本页

25,608164只读未明确有提醒

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

LaTeX Academic Paper Assistant (English)

Use this skill for targeted work on an existing English LaTeX paper project. Keep the workflow low-friction: identify the right module, run the smallest useful check, and return actionable comments in LaTeX-friendly review format.

Capability Summary

  • Compile and diagnose LaTeX build failures.
  • Audit formatting, bibliography, grammar, sentence length, argument logic, and figure quality.
  • Diagnose and rewrite-plan literature review sections around thematic synthesis, comparison, and gap derivation.
  • Review IEEE-style pseudocode blocks, figure-wrapped algorithms, captions, labels, comments, and algorithm package choices.
  • Improve expression, translate academic prose, optimize titles, and reduce AI-writing traces.
  • Review experiment sections without rewriting citations, labels, or math.

Triggering

Use this skill when the user has an existing English .tex paper project and wants help with:

  • compiling or fixing build errors
  • format or venue compliance
  • bibliography and citation validation
  • grammar, sentence, logic, or expression review
  • literature review restructuring, related-work synthesis, or research-gap derivation
  • translation of academic prose
  • title optimization
  • figure or caption quality checks
  • pseudocode and algorithm-block review
  • de-AI editing of visible prose
  • experiment-section analysis

Do Not Use

Do not use this skill for:

  • planning or drafting a paper from scratch
  • deep literature research or fact-finding without a paper project
  • Chinese thesis-specific structure/template work
  • Typst-first paper workflows
  • DOCX/PDF conversion tasks that do not involve the LaTeX source
  • multi-perspective review, scoring, or submission gate decisions (use paper-audit)
  • standalone algorithm design from scratch without a paper project

Module Router

ModuleUse whenPrimary commandRead next
compileBuild fails or the user wants a fresh compileuv run python -B $SKILL_DIR/scripts/compile.py main.texreferences/modules/COMPILE.md
formatUser asks for LaTeX or venue formatting reviewuv run python -B $SKILL_DIR/scripts/check_format.py main.texreferences/modules/FORMAT.md
bibliographyMissing citations, unused entries, BibTeX validationuv run python -B $SKILL_DIR/scripts/verify_bib.py references.bib --tex main.texreferences/modules/BIBLIOGRAPHY.md
grammarGrammar and surface-level language fixesuv run python -B $SKILL_DIR/scripts/analyze_grammar.py main.tex --section introductionreferences/modules/GRAMMAR.md
sentencesLong, dense, or hard-to-read sentencesuv run python -B $SKILL_DIR/scripts/analyze_sentences.py main.tex --section introductionreferences/modules/SENTENCES.md
logicWeak argument flow, unclear transitions, introduction funnel problems, or abstract/conclusion misalignmentuv run python -B $SKILL_DIR/scripts/analyze_logic.py main.tex --section methodsreferences/modules/LOGIC.md
literatureRelated Work is list-like, under-compared, or missing an evidence-backed research gapuv run python -B $SKILL_DIR/scripts/analyze_literature.py main.tex --section relatedreferences/modules/LITERATURE.md
expressionAcademic tone polish without changing claimsuv run python -B $SKILL_DIR/scripts/improve_expression.py main.tex --section relatedreferences/modules/EXPRESSION.md
translationChinese-to-English academic translation or bilingual polishinguv run python -B $SKILL_DIR/scripts/translate_academic.py input.txt --domain deep-learningreferences/modules/TRANSLATION.md
titleGenerate, compare, or optimize paper titlesuv run python -B $SKILL_DIR/scripts/optimize_title.py main.tex --checkreferences/modules/TITLE.md
figuresFigure existence, extension, DPI, or caption reviewuv run python -B $SKILL_DIR/scripts/check_figures.py main.texreferences/REVIEWER_PERSPECTIVE.md
pseudocodeIEEE-safe pseudocode review, algorithm2e cleanup, caption/label/reference checks, and comment-length reviewuv run python -B $SKILL_DIR/scripts/check_pseudocode.py main.tex --venue ieeereferences/modules/PSEUDOCODE.md
deaiReduce AI-writing traces while preserving LaTeX syntaxuv run python -B $SKILL_DIR/scripts/deai_check.py main.tex --section introductionreferences/modules/DEAI.md
experimentInspect experiment design/write-up quality, discussion depth, discussion layering, and conclusion completenessuv run python -B $SKILL_DIR/scripts/analyze_experiment.py main.tex --section experimentsreferences/modules/EXPERIMENT.md
tablesTable structure validation, three-line table generation, or booktabs reviewuv run python -B $SKILL_DIR/scripts/check_tables.py main.texreferences/modules/TABLES.md
abstractAbstract five-element structure diagnosis and word count validationuv run python -B $SKILL_DIR/scripts/analyze_abstract.py main.texreferences/modules/ABSTRACT.md
adaptJournal adaptation: reformat paper for a different venue(LLM-driven workflow)references/modules/ADAPT.md

Routing Rules

  • Infer the module from the user request before asking follow-up questions. Ask for the module only when two or more modules are equally plausible after keyword routing.
  • If the user asks for 2-3 compatible checks in one turn, run them sequentially instead of forcing a single-module reply.
  • Use this execution order when multiple modules are needed: compile -> bibliography -> format -> figures / tables / pseudocode -> grammar / sentences / deai -> logic / literature / experiment -> title / expression / translation / adapt.
  • Prefer logic for cross-section alignment requests (abstract vs introduction vs conclusion), introduction funnel issues, or contribution drift; prefer literature only when the problem is specifically about Related Work organization, comparison, or gap derivation.
  • Keep experiment for results, discussion, baseline, ablation, significance, limitation, and conclusion-completeness concerns even if the user phrases them as "logic" problems.
  • When a script fails, stop the current module, report the exact command plus exit code, and recommend the next smallest useful fallback instead of silently switching modules.

Required Inputs

  • main.tex or the paper entrypoint.
  • Optional --section SECTION when the request is section-specific.
  • Optional bibliography path when the request targets references.
  • Optional venue/context when the user cares about IEEE, ACM, Springer, NeurIPS, or ICML conventions.

If arguments are missing, preserve the inferred module and ask only for the missing file path, section, bibliography path, or venue context.

Output Contract

  • Return findings in LaTeX diff-comment style whenever possible: % MODULE (Line N) [Severity] [Priority]: Issue...
  • Keep comments surgical and source-aware.
  • Report the exact command used and the exit code when a script fails.
  • Preserve \cite{}, \ref{}, \label{}, custom macros, and math environments unless the user explicitly asks for source edits.
  • For literature, default to diagnosis + rewrite blueprint first; only produce paragraph-level rewriting when the user explicitly asks for prose.

Workflow

  1. Parse $ARGUMENTS, infer the smallest matching module, and keep that inference unless the user explicitly redirects you.
  2. Read only the reference file needed for that module.
  3. If the request contains multiple compatible concerns, run them in the routing order above and keep the output grouped by module.
  4. Run the module script with uv run python -B....
  5. Summarize issues, suggested fixes, and blockers in LaTeX-friendly comments.
  6. If the user asks for a different concern, switch modules instead of overloading one run.

Safety Boundaries

  • Never invent citations, metrics, baselines, or experimental results.
  • Never rewrite bibliography keys, references, labels, or math by default.
  • Treat generated text as proposals; keep source-preserving checks separate from prose rewriting.

Reference Map

  • references/STYLE_GUIDE.md: tone and style defaults.
  • references/VENUES.md: venue-specific expectations.
  • references/CITATION_VERIFICATION.md: citation verification workflow.
  • references/REVIEWER_PERSPECTIVE.md: reviewer-style heuristics for figures and clarity.
  • references/modules/: module-by-module commands and decision notes.
  • references/modules/PSEUDOCODE.md: IEEE-safe defaults for LaTeX pseudocode.

Read only the file that matches the active module.

Example Requests

  • “Compile my IEEE paper and tell me why main.tex still fails after BibTeX.”
  • “Check the introduction section for grammar and sentence length, but do not rewrite equations.”
  • “Audit figures and references in this ACM submission before I submit.”
  • “Rewrite the related work so it reads like a synthesis instead of a paper-by-paper list, but keep all citation anchors intact.”
  • “Check whether this IEEE pseudocode still uses algorithm2e floats and tell me how to make it IEEE-safe.”
  • “Review the experiments section for overclaiming, missing ablations, and weak baseline comparisons.”

See examples/ for complete request-to-command walkthroughs.

平台分布

Codex

35.64%
按下载量换算3,199

Claude

29.47%
按下载量换算2,645

Cursor

17.55%
按下载量换算1,575

Gemini CLI

7.77%
按下载量换算697

安全审计

Gen Agent Trust Hub

通过

Socket

通过

Snyk

可疑

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。来源安全扫描存在提醒或未通过项,安装前请自行复核。目前只有一个公开来源,建议同时核对源仓库。

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