caicai-english-buddy: 把真实英语口语对话沉淀成 Obsidian 每日记录、单词本、反馈标签与周复盘的 Codex Skill

by caibucaiAI · Codex Skill · ★ 52

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How to install caicai-english-buddy

git clone https://github.com/caibucaiAI/caicai-english-buddy.git ~/.codex/skills/caicai-english-buddy

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

Security audit verdict: SAFE · quality 51/100

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.

Quick Facts

Stars52
Forks3
CategoryCodex Skill
Quality Score51/100
Last Updated2026-10-09
Created2026-08-30
Platformscodex
Est. Tokens~2k

About caicai-english-buddy

菜菜英语搭子 Caicai’s English Buddy 一个 Codex Skill,两种学习模式:英语口语练习,以及结合录音转录的英文视频学习。记录保存到你自己的 Obsidian。 使用 启动时先问:“你这次想要进入什么模式?英语口语练习,还是英语视频学习?”已明确选择模式时直接开始。 英语口语练习:自然对话、轻量纠错、完整逐字稿、中文记录、单词本与周复盘。 英语视频学习:边看边发术语问题,结合录音上下文用中文解释;结束时可做简短回考,也可以直接归档。保存视频笔记、问答记录、原始录音逐字稿、独立单词本和周复盘材料。 两种模式在语言学习目录下并列,各有自己的索引、单词本、对话记录、待办清单和周复盘。周复盘材料积累不等于已完成回考;学习反馈依据实际回答,不提前判定掌握。 安装 首次使用时提供你的 Obsidian Vault...

Compatible Skills

These tools work well together with caicai-english-buddy for enhanced workflows:

  • fluent-cfd-skill — semantic(0.41)+complementary+shared_fw(openai)+similar_pop+shared_platform (62%)
  • regional-culture-poster — semantic(0.36)+complementary+shared_fw(openai)+similar_pop+shared_platform (61%)

caicai-english-buddy alternative? Top 1 similar tools

Looking for a caicai-english-buddy alternative? If you're comparing caicai-english-buddy with other codex skill tools, these 1 projects are the closest alternatives on Agent Skills Hub — ranked by topic overlap, star count, and community traction.

  • theorist by blader · ⭐ 191

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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