超星慕课小工具
>本项目已停止维护<div align="center">
<h1 align="center">
网课小工具
</h1>
!(https://img.shields.io/github/stars/codfrm/cxmooc-tools.svg)
[!(https://github.com/CodFrm/cxmooc-tools/workflows/build/badge.svg?branch=master)](https://github.com/CodFrm/cxmooc-tools)
!(https://img.shields.io/github/tag/codfrm/cxmooc-tools.svg?label=version)
[!(https://img.shields.io/badge/chrome-success-brightgreen)](https://chrome.google.com/webstore/detail/%E8%B6%85%E6%98%9F%E6%85%95%E8%AF%BE%E5%B0%8F%E5%B7%A5%E5%85%B7/kkicgcijebblepmephnfganiiochecfl?hl=zh-CN)
[!(https://img.shields.io/badge/firefox-success-brightgreen)](https://addons.mozilla.org/zh-CN/firefox/addon/%E8%B6%85%E6%98%9F%E6%85%95%E8%AF%BE%E5%B0%8F%E5%B7%A5%E5%85%B7/)
[!(https://img.shields.io/badge/tampermonkey-success-yellowgreen)](https://bbs.tampermonkey.net.cn/thread-61-1-1.html)
!(https://img.shields.io/github/downloads/CodFrm/cxmooc-tools/total)
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</div>
- [关于网课小工具](#关于网课小工具)
- [从应用商店下载](#从应用商店下载)
- [功能支持列表](#功能支持列表)
- [适配列表](#适配列表)
- [参与开发](#参与开发)
- [环境](#环境)
- (#build)
- [贡献流程](#贡献流程)
- [题库](#题库)
- [关于反馈](#关于反馈)
- [免责声明](#免责声明)
## 关于网课小工具
一个 超星(学习通)/智慧树(知到)/中国大学mooc 刷课工具,火狐,谷歌,油猴支持.全自动任务,视频倍速秒过,作业考试题库,验证码自动打码(੧ᐛ੭挂科模式,启动)
**如果觉得好用,顺手点个 Star 吧 ❤❤❤**
**仓库地址:(https://github.com/CodFrm/cxmooc-tools)**
## 从应用商店下载
(https://chrome.google.com/webstore/detail/%E8%B6%85%E6%98%9F%E6%85%95%E8%AF%BE%E5%B0%8F%E5%B7%A5%E5%85%B7/kkicgcijebblepmephnfganiiochecfl?hl=zh-CN)
(https://addons.mozilla.org/zh-CN/firefox/addon/%E8%B6%85%E6%98%9F%E6%85%95%E8%AF%BE%E5%B0%8F%E5%B7%A5%E5%85%B7/)
[油猴](https://bbs.tampermonkey.net.cn/thread-61-1-1.html)
## 功能支持列表
> 详情请看使用文档,不同平台所支持的功能不尽相同
* 视频挂机
* 视频秒过
* 视频倍速
* 静音播放
* 任务答题
* 自动阅读
* 自动填写验证码
* 考试答题
* 作业答题
## 适配列表
* Chrome for PC
* Firefox for PC
* Firefox for Mobile
* QQ 浏览器 for PC
* Tampermonkey
## 参与开发
> 如果你想参与开发,请阅读下面内容,如果只是使用本扩展,请移步 **[使用文档](https://cx.icodef.com/)**
### 环境:
* Node.js
* webpack
### Build
```bash
git clone https://github.com/CodFrm/cxmooc-tools.git
cd cxmooc-tools
npm install
npm run build
# 开发模式请使用
npm run dev
# 打包生成crx和油猴脚本
npm run tampermonkey
npm run pack
```
### 贡献流程
1. `Fork Repo`
2. 发起`Pull Request`,并简要描述更改内容。
3. `CI 检查通过`
4. `CodeReview`
5. 合并到项目仓库
## 题库
1. 题库大部分答案来源于用户答题后的页面采集,**所以需要有人第一次做过**,后来的人才能搜索到题目。
2. 可以配置随机题目,当题库中没有的题目则会自动随机选择一个选项
3. 考试题库收集,需要考试完毕后,进入考试答案页面,扩展会自动收集.
题库记录提示:
![](/dist/images/3.webp)
## 关于反馈
您可以通过Issues反馈,反馈时请尽量提供足够明确的信息。
## 免责声明
本项目完全开源,免费,仅供技术学习和交流,**开发者团队并未授权任何组织、机构以及个人将其用于商业或者盈利性质的活动。也从未使用本项目进行任何盈利性活动。未来也不会将其用于开展营利性业务。个人或者组织,机构如果使用本项目产生的各类纠纷,法律问题,均由其本人承担。**
如果您开始使用本项目,即视为同意项目免责声明中的一切条款,条款更新不再另行通知。**开发者仅接受和捐赠者之间不构成购买或雇佣关系的捐赠或者赞赏。** 如果您选择捐赠此项目,我们会列出一份捐赠者名单(包含捐赠金额,日期),但不会公布您的捐赠账号。如果您选择捐赠,那么我将视之为您完全自愿的,没有任何雇佣,购买关系的捐赠。
The project is completely open source, free, and is for technical learning and communication only. **The developer team does not authorize any organization, organization, or individual to use it for commercial or profitable activities. Never use this project for any profitable activities. It will not be used for profit-making business in the future. Individuals or organizations and organizations that use the various disputes arising from the project and legal issues shall be borne by themselves.**
If you start using this project, you are deemed to agree to all the terms in the project disclaimer, and the terms are updated without further notice. **Developers only accept donations or appreciations that do not constitute a purchase or employment relationship with the donor.** If you choose to donate this item, we will list a list of donors (including donation amount, date), but will not announce your donation account. If you choose to donate, then I will treat you as completely voluntary, without any employment, donation of the relationship.
## License
[!(https://app.fossa.com/api/projects/git%2Bgithub.com%2FCodFrm%2Fcxmooc-tools.svg?type=large)](https://app.fossa.com/projects/git%2Bgithub.com%2FCodFrm%2Fcxmooc-tools?ref=badge_large) 太厉害了6666666 尊敬的楼主您好,我反馈一下视频答题 都不能用了 的问题。 王羲之 发表于 2021-3-24 22:33
尊敬的楼主您好,我反馈一下视频答题 都不能用了 的问题。
截图看一下 请问楼主,刷了一段时间后需要人脸识别怎么办呢? Harvey 发表于 2021-3-25 20:59
请问楼主,刷了一段时间后需要人脸识别怎么办呢?
没办法 手动处理吧 一直卡网络,工具空白加载不了,麻烦楼主更新一下谢谢! 现在为什么搜索这么慢还要手动搜索呢?我记得之前自动很快就出答案了呀data:image/png;base64,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 答题不能用了搜了半小时也不出答案跪求更新 xiaokai 发表于 2021-4-3 13:07
答题不能用了搜了半小时也不出答案跪求更新
现在呢。。。。服务器问题。。。