easyread: 把英文论文读成舒服的中文:本地 PDF 论文翻译、原文对照、边读边问 AI、文献管理

by Edwardxlai · Codex Skill · ★ 990

Last updated: · Indexed by AgentSkillsHub · Auto-synced every 8h

How to install easyread

pip install git+https://github.com/Edwardxlai/easyread

Taken from the project's README on GitHub. Check the security audit before running it.

Security audit verdict: SAFE · quality 63/100

None of the 42 rules matched — no credential harvesting, no data exfiltration, no curl-pipe-shell installer. Scanned against 42 published rules built on the SlowMist agent-security taxonomy, refreshed every 8 hours. Full audit →

The quality score combines nine heuristic checks of the repo and its README: completeness, clarity, specificity, examples, structure, agent readiness, step-by-step content, instruction quality and security notes. It rates how well the project explains itself to an agent, not the code.

academicarxivchineseclaude-codecodexelectronllmpaper-readingpdf-translatorreference-manager

Quick Facts

Stars990
Forks80
LanguagePython
CategoryCodex Skill
LicenseMIT
Quality Score63/100
Open Issues2
Last Updated2026-10-20
Created2026-09-30
Platformsclaude-code, codex, python
Est. Tokens~15k

About easyread

EasyRead 把英文论文,读成舒服的中文。 导入 PDF,后台逐页翻译;公式、表格照原文排好,随时对照原文,边读边划线、记笔记、提问。 本地运行,论文和笔记只存在你自己的电脑上。 简体中文 · English ▶ 在线试读一篇 · 项目主页 · 下载 它和“把 PDF 丢给翻译软件”有什么不一样 像读一本排好版的中文书。 宋体正文、舒服的行宽和行距,公式用 KaTeX 按原文重排,表格是三线表,参考文献保留原文。顶栏一键切深色。 随时核对原文。 一键切“对照”,每段下面附英文;右侧可以开原页,跟着阅读位置翻页,还会框出当前段落在原页的位置。 翻译和解释分开。 正文只放忠实的译文;AI 的解释、回答放在页边,一眼就能分清哪句是论文说的。 边读边问 AI。 右侧“问...

Compatible Skills

These tools work well together with easyread for enhanced workflows:

  • Supervertaler-Workbench — semantic(0.18)+complementary+shared_fw(anthropic,ollama,openai)+similar_pop+shared_platform (66%)
  • cc-translate-proxy — semantic(0.27)+complementary+shared_fw(anthropic,ollama)+similar_pop+shared_platform (65%)
  • daily-arXiv-ai-enhanced — semantic(0.31)+complementary+rare_topics+same_lang+similar_pop+shared_platform (65%)
  • qiaomu-reader — semantic(0.15)+complementary+shared_fw(openai)+same_lang+similar_pop+shared_platform (63%)

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How this security grade is produced

Grades come from a rule-based scan built on the SlowMist agent-security taxonomy: 42 published rules, covering credential harvesting, data exfiltration, curl | sh installers and more. It is a first-layer scan, not a manual audit — we say so rather than overstate it.

The scale of the problem is documented independently: Liu et al. (2026), in a study of 31,132 agent skills, report that 26.1% contain security vulnerabilities. Our own full-catalog census is published as a citable open dataset.

Sources & who's responsible:

View on GitHub → Browse Codex Skill tools