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AI 学术论文润色

by ai-gaoqian · GitHub ↗ · v1.0.0 · MIT-0
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Install in OpenClaw
/install journal-submission
Description
基于顶级期刊规范和多学科词典,自动润色学术论文文本,优化语法、格式、引用和学术风格,支持多期刊模板。
README (SKILL.md)

AI 学术论文润色 (Academic Polish)

概述

Academic Polish 是一款 AI 驱动的学术论文润色技能,基于全球顶级期刊规范库 + 多学科术语词典 + 学术英语语法规则引擎,自动对论文段落进行语言润色、格式规范化、引用合规检查和学术风格优化,输出逐句对照的修改报告。

适用场景

  • 投稿前论文语言润色与格式排版
  • 论文初稿的学术英语语法校对
  • 引用格式自动转换与合规检查
  • 多学科交叉论文的术语统一
  • 非英语母语研究者的学术写作提升

润色维度

维度 说明
语法与拼写 时态、主谓一致、冠词、拼写错误修正
学术风格 被动语态/主动语态优化、冗余表达精简、正式度提升
逻辑连贯 段落衔接、过渡词、逻辑递进关系优化
术语规范 学科术语统一、缩写首次定义、符号标准化
引用格式 参考文献格式转换、引文插入、交叉引用校验
合规性 字数限制、摘要结构、关键词格式、图表编号
期刊适配 针对目标期刊的格式模板、模板匹配检查

支持的期刊与格式规范

期刊 / 出版社 覆盖规范
Nature Article / Letter / Review 格式,200 字摘要,Methods 独立节
Science Research Article / Report,125 词摘要,SM 要求
Elsevier 旗下 2,500+ 期刊模板,LaTeX / Word 双格式
IEEE IEEEtran 模板,双栏格式,6-8 页限制
ACM ACM Primary Article Template,CCS Concepts
Springer Lecture Notes / 期刊模板,Word / LaTeX
PLOS PLOS ONE / Biology / Medicine,开放获取规范
中文核心期刊 GB7714 引用,CNKI 格式,中文摘要 200-300 字

支持的引用格式

格式 适用领域 示例
APA 7th 心理学、教育学、社会科学 (Smith, 2023, p. 42)
MLA 9th 文学、语言学、人文科学 (Smith 42)
Chicago (Notes-Bibliography) 历史、艺术、人文学科 ^1 Smith, Title, 42.
Harvard 商科、经济学 (Smith 2023, p.42)
IEEE 工程、计算机科学 [1]
Vancouver 医学、生物医学 [1]
GB/T 7714-2015 中文学术期刊 [1] 张三. …
ACS 化学 1. Smith, J. …

支付协议(AI收)

本技能采用支付宝 AI 收 HTTP 402 协议,按次计费。

项目
单价 ¥0.50 / 次
支付协议 alipay_ 短链协议
网关地址 http://8.145.54.67:3000
技能路径 /skill/academic-polish
支付确认路径 /pay-confirm

支付流程

1. 客户端发起润色请求  POST /skill/academic-polish
2. 服务端返回 402 Payment Required
   Header: X-Payment-Needed: true
   Header: X-Short-Link: alipay_XXXXXXXXXXXXXXXX
3. 用户完成支付宝支付
4. 客户端携带支付凭证回传  POST /pay-confirm
   Header: X-Payment-Credential: \x3C支付凭证>
5. 服务端验证通过 → 执行论文润色 → 返回结果

HTTP 请求头规范

头名称 说明
X-Payment-Needed 服务端返回:true 表示需要支付
X-Short-Link 服务端返回:支付宝短链 URL 供用户支付
X-Payment-Credential 客户端回传:支付完成后的凭证字符串
X-Service-Tier 可选,basic(基础润色)或 premium(深度润色)

润色服务档位

基础档(basic = ¥0.50)

  • 单段论文文本润色(最多 2,000 词)
  • 语法/拼写/标点修正
  • 学术风格基础优化
  • 修改对照(原文 vs 润色后)
  • 输出 JSON 格式润色报告

深度档(premium = ¥1.00 - 预留)

  • 全部基础功能
  • 逐句详细分析(语法/逻辑/术语)
  • 目标期刊格式自动适配
  • 引用格式自动转换
  • 查重预检建议
  • 输出 PDF 完整润色报告

数据底座

所有期刊规范、引用格式规则、学术英语错误模式、学科术语词典存储于 references/academic-polish.json,结构如下:

{
  "journal_specs": { ... },        // Nature/Science/Elsevier/IEEE/ACM 期刊规范
  "citation_rules": { ... },       // APA/MLA/Chicago/Harvard/IEEE/GB7714 引用规则
  "academic_errors": [ ... ],      // 学术英语常见错误模式
  "discipline_lexicon": { ... },   // 各学科术语词典
  "style_guidelines": [ ... ]      // 学术写作风格指南
}

使用示例

请求

curl -X POST http://8.145.54.67:3000/skill/academic-polish \
  -H "Content-Type: application/json" \
  -H "X-Service-Tier: basic" \
  -d '{"text": "The result shows that the method is very good and can be used in many applications.", "discipline": "computer_science", "target_journal": "IEEE"}'

响应(支付后)

{
  "service": "AI 学术论文润色",
  "tier": "basic",
  "discipline": "computer_science",
  "target_journal": "IEEE",
  "polish_stats": {
    "grammar_fixes": 2,
    "style_improvements": 3,
    "terminology_suggestions": 1
  },
  "original": "The result shows that the method is very good and can be used in many applications.",
  "polished": "The experimental results demonstrate that the proposed method achieves superior performance and exhibits broad applicability across diverse domains.",
  "diff": [
    {
      "type": "style",
      "original": "The result shows that",
      "revised": "The experimental results demonstrate that",
      "reason": "学术写作中应使用更精确的表述,'result' 应具体化为 'experimental results','shows' 应升级为 'demonstrates'"
    },
    {
      "type": "word_choice",
      "original": "very good",
      "revised": "superior performance",
      "reason": "避免使用主观形容词 'very good',改为可量化的学术表述"
    },
    {
      "type": "word_choice",
      "original": "can be used in many applications",
      "revised": "exhibits broad applicability across diverse domains",
      "reason": "替换过于口语化的表达,提升学术正式度"
    }
  ],
  "citation_suggestions": [
    "如本文涉及方法对比,建议引用 IEEE 格式的相关文献:[1] Author, 'Title,' Journal, vol., no., pp., Year."
  ]
}

许可

MIT License — 详见 LICENSE 文件 (内容由AI生成,仅供参考) (内容由AI生成,仅供参考)

Usage Guidance
Review this carefully before installing or using it. Avoid sending confidential, unpublished, regulated, or proprietary manuscript text, and do not transmit payment credentials unless the service provides HTTPS, clear payment-token handling, and privacy/retention terms.
Capability Tags
requires-paid-service
Capability Assessment
Purpose & Capability
The stated purpose, reference data, and examples align around academic paper polishing, citation formatting, and journal-style guidance.
Instruction Scope
The skill directs users to submit paper text to a remote endpoint and later return a payment credential, but gives no meaningful limits, privacy notice, retention terms, or warning for unpublished or proprietary research.
Install Mechanism
The package contains only a Markdown skill file and a JSON reference dataset; no executable installer, scripts, dependencies, or hidden setup behavior were found.
Credentials
Using a remote service is proportionate to paid AI polishing, but the documented endpoint is plain HTTP, which is not proportionate for manuscript content or payment-related credentials.
Persistence & Privilege
No local persistence, privilege escalation, background workers, or local credential-store access were found, but the remote service's data handling is undocumented.
How to Use
  1. Make sure OpenClaw is installed (local or Docker)
  2. Run the install command in chat: /install journal-submission
  3. After installation, invoke the skill by name or use /journal-submission
  4. Provide required inputs per the skill's parameter spec and get structured output
Version History
v1.0.0
- Initial release of the "AI 学术论文润色 (Academic Polish)" skill. - Provides AI-driven academic paper polishing with global journal standards, discipline glossaries, and academic English grammar rules. - Supports language refinement, formatting, citation compliance checks, and academic style optimization with side-by-side revision reports. - Payment per use via Alipay HTTP 402 protocol (¥0.50 per basic edit). - Supports major journal templates (Nature, Science, IEEE, ACM, Springer, etc.) and multiple citation styles (APA, MLA, Chicago, IEEE, Vancouver, GB/T 7714, ACS). - Two service tiers: basic (single paragraph, quick polish) and premium (full analysis, journal adaptation, PDF report — reserved).
Metadata
Slug journal-submission
Version 1.0.0
License MIT-0
All-time Installs 0
Active Installs 0
Total Versions 1
Frequently Asked Questions

What is AI 学术论文润色?

基于顶级期刊规范和多学科词典,自动润色学术论文文本,优化语法、格式、引用和学术风格,支持多期刊模板。 It is an AI Agent Skill for Claude Code / OpenClaw, with 36 downloads so far.

How do I install AI 学术论文润色?

Run "/install journal-submission" in the OpenClaw or Claude Code chat to install it in one step — no extra setup required.

Is AI 学术论文润色 free?

Yes, AI 学术论文润色 is completely free, licensed under MIT-0. You can download, install and use it at no cost.

Which platforms does AI 学术论文润色 support?

AI 学术论文润色 is cross-platform and runs anywhere OpenClaw / Claude Code is available (cross-platform).

Who created AI 学术论文润色?

It is built and maintained by ai-gaoqian (@ai-gaoqian); the current version is v1.0.0.

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