arnon-hs/open-source/knowledgerag

Claude Code and agent skill by arnon-hs/open-source

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Checking that the SKILL.md file is still in the repository.

Install

npx vskill@latest install arnon-hs/open-source/knowledgerag

SKILL.md

ZeKaiNie/universal-examprep-skill

![Stars](https://github.com/ZeKaiNie/universal-examprep-skill/stargazers) ![Forks](https://github.com/ZeKaiNie/universal-examprep-skill/network) ![Language](#) ![Score](#)

Last-night exam-cram coach as a Claude Agent Skill: turns your slides, notes and past papers into a chaptered knowledge base + quiz bank, teaches only what's in your materials, and never fabricates (measured 100% out-of-scope abstention). Bilingual EN/中文 — the 期末极速备考 skill.

📊 Stats

⭐ Stars250
🍴 Forks12
💻 LanguagePython
📈 Score69/100
🗓️ Last push2026-09-05
🔍 Sourcegithub

🏷️ Topics

agent-skill ai-tutor anthropic anti-hallucination claude claude-code claude-skill cram edtech education exam-prep llm

🎯 Categories

Knowledge/RAG · AI/ML

📝 Summary

English

Project Summary:

ZeKaiNie/universal-examprep-skill is an open-source project that transforms learning materials into a searchable knowledge base and quiz bank, utilizing Claude AI as a skill. This tool enables users to teach their AI assistant only what's in their materials, ensuring accurate and relevant knowledge. With its bilingual support and high-quality signals, this project offers a valuable solution for making internal knowledge searchable and usable.

Value Proposition:

The primary value proposition of this project is its ability to index knowledge bases, improve search over documents, and ground assistant answers. This is particularly useful for organizations that require their AI assistants to be knowledgeable and accurate. By leveraging this skill, users can create a robust and reliable knowledge base that is tailored to their specific needs.

Practical Adoption Path:

To adopt this project, users can start by:

  1. Reviewing the README documentation to understand the project's requirements and integration process.
  2. Conducting a small proof of concept to evaluate the project's feasibility and functionality.
  3. Integrating the project into their existing workflow, starting with a small-scale implementation.
  4. Monitoring the project's maintenance and updating dependencies to ensure production readiness.

Before adopting

Review the current source documentation, licensing terms, dependencies, and maintenance status against your intended use. View the source.

Русский

Резюме проекта ZeKaiNie/universal-examprep-skill:

Проект "Universal Exam Prep Skill" представляет собой open-source решение для создания поискового базового знаний и банка вопросов, основанный на предоставленных материалах. Он позволяет сделать внутренние знания поисковыми и доступными для ассистентов, что может быть полезно для внутренних потоков работы и прототипов. Проект пока находится на среднем уровне готовности к production и требует дальнейшего отбора в отношении лицензии, безопасности и активных сопровождающих.

中文

项目简介

ZeKaiNie/universal-examprep-skill 是一个开源项目,提供了一个 Claude Agent Skill,可以帮助将你的幻灯片、笔记和过去的试题转换成章节化的知识库和题库。它能够根据你的材料来教学,避免fabricate(捏造)任何内容。该项目支持双语(英语和中文),并且可以帮助内部知识变得可搜索和可用。

价值

该项目的价值在于,它可以帮助内部知识变得可搜索和可用,改善知识管理和使用。它可以帮助你:

  • 索引知识库
  • 改善对文档的搜索
  • 为助手提供更准确的答案

典型接入方式

为了接入该项目,你可以:

  1. 检查 README 并评估项目的可行性
  2. 运行一个小规模的 PoC(Proof of Concept)
  3. 检查依赖项和维护情况

生产可用性

该项目的生产可用性为中等(Medium),适合用于原型开发或内部工作流中。然而,需要在生产环境中进行依赖

🧭 Practical evaluation

Value: ZeKaiNie/universal-examprep-skill helps make internal knowledge searchable and usable by assistants.

Best use cases

  • index knowledge bases
  • improve search over documents
  • ground assistant answers

Integration notes: Looks feasible to evaluate, but integration should start with a small proof of concept and README check.

Production readiness: Medium: useful for prototypes or internal workflows, with dependency and maintenance checks before production.

Quality signals

  • 250 GitHub stars
  • 12 forks
  • updated 2026-07-11
  • primary language: Python
  • 15 topics

Risks: No major metadata risk found, but license, security posture, and active maintainers still need final review.

🧮 Score breakdown

DimensionScore
forks28/100
stars51/100
topics100/100
outlook77/100
quality70/100
recency80/100
adoption45/100
production68/100
usefulness90/100
integration46/100
sourceTrust100/100
categoryMatchCount200/100

<sub>🔭 Discovered 2026-07-11 · View on GitHub · ← Back to Knowledgerag</sub>

Security

  • Security scanPassed, 90 of 100Pattern checks on the skill's files.
  • Model reviewPassed

Quality evaluation

  • Task evaluationNot runNo evaluation yet. Run one in Skill Studio.

Source

Popularity

7-day trend score
5

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