```
Scanned 9/10/2026
Install to Claude Code
npx -y skills add SAIRAMANALADI/vybe-intelligence-vault --skill 2026-07-21 --agent claude-codeInstalls into .claude/skills of the current project.
Are you the author of 2026 07 21?
Add the live security badge to your README — it updates automatically with every re-scan.
[](https://www.skillsdirectory.com/skills/sairamanaladi-2026-07-21-28e5b45d)More formats (shields.io, HTML) on the badges page.
---
title: 5219rayhsu/open-book-is-good-skill
content_type: repo
engine: v2
category: daily-digests/2026-07-21
tech_stack:
- Python
- Claude AI Skills
- Markdown
- YAML
- Pydantic (implied for schema validation)
- OCR (implied for figure extraction)
- AI Model Integration (for explanation generation)
quality_score: 7
rag_relevance: 6
deployment_complexity: Medium
tags:
- AI agent automation
- exam question processing
- clean-room data pipeline
- judgment-based parsing
- copyright-compliant RAG
source: https://github.com/5219rayhsu/open-book-is-good-skill
stars: 0
language: Python
last_updated: '2026-07-17T16:06:09Z'
discovered_at: '2026-07-17T16:14:51Z'
evaluated_by: mistral-small-latest
---
## Summary
A Claude AI skill that enables agents to transform official open exam question papers into offline study systems using a judgment-based, clean-room approach. It automates data sourcing, parsing, figure extraction, and explanation generation while enforcing quality checks and copyright compliance.
## Key Features
- Judgment-based parsing pipeline that adapts to varying exam formats and layouts
- Automated figure extraction and cropping with robustness checks for dirty data
- AI-generated explanations with built-in verification and uncertainty scoring
- Multi-phase workflow with red-team validation and linting for quality control
- Modular design with detailed references for customization across different exams
## Why It Matters for RAG Builders
It provides a structured, copyright-compliant method for AI agents to transform official exam data into reusable RAG datasets, ensuring legal and high-quality knowledge extraction.
## Tech Stack Deep Dive
### Python
Automated review identified **Python** as a key module contributing to infrastructure orchestration or cognitive reasoning boundaries in this project.
### Claude AI Skills
Automated review identified **Claude AI Skills** as a key module contributing to infrastructure orchestration or cognitive reasoning boundaries in this project.
### Markdown
Automated review identified **Markdown** as a key module contributing to infrastructure orchestration or cognitive reasoning boundaries in this project.
### YAML
Automated review identified **YAML** as a key module contributing to infrastructure orchestration or cognitive reasoning boundaries in this project.
### Pydantic (implied for schema validation)
Automated review identified **Pydantic (implied for schema validation)** as a key module contributing to infrastructure orchestration or cognitive reasoning boundaries in this project.
### OCR (implied for figure extraction)
Automated review identified **OCR (implied for figure extraction)** as a key module contributing to infrastructure orchestration or cognitive reasoning boundaries in this project.
### AI Model Integration (for explanation generation)
Automated review identified **AI Model Integration (for explanation generation)** as a key module contributing to infrastructure orchestration or cognitive reasoning boundaries in this project.
## Installation
```bash
# Please check the repository README for specific installation instructions.
```
## Related Vault Entries
<!-- Auto-populated by build-index.js based on tech_stack overlap -->
Is this your skill, or is something wrong with this listing? Request removal or report an issue. Author removals are honored within 72 hours.
No comments yet. Be the first to comment!