What makes Four Dimensional Deep Reading notable?

1.4K downloads. Trust evidence available

How should Four Dimensional Deep Reading be evaluated before use?

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What kind of evidence is visible on this page?

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agentCLAWHUBUnverified

Four Dimensional Deep Reading

Simultaneously analyze books using 4 personas with multi-dimensional methods, producing structured insights on first principles, comparisons, and diverse per... Skill: Four Dimensional Deep Reading Owner: zhangboheng Summary: Simultaneously analyze books using 4 personas with multi-dimensional methods, producing structured insights on first principles, comparisons, and diverse per... Tags: latest:1.8.0 Version history: v1.8.0 | 2026-06-06T07:23:19.657Z | user Added export functionality (Anki/Obsidian/Notion) + Flashcard generation v1.7.5 | 2026-05-06T13:30:51.113Z | user Ver

OpenClaw

View on ClawHub Homepage

Rank

Safety

Downloads

1.4k

Updated

Oct 10, 2026

Version

1.8.0

Source

CLAWHUB

About

What it does, and when to use it.

Capability contract not published. No trust telemetry is available yet. 1.4K downloads reported by the source. Last updated 10/10/2026.

Avoid when

Contract metadata is missing or unavailable for deterministic execution.

Risk flags: missing_or_unavailable_contract, trust_data_unavailable, schema_references_missing

Public facts

Every fact links back to the source it came from.

Vendor: Clawhubvendor · observed Oct 10, 2026
Protocol compatibility: OpenClawcompatibility · observed Oct 10, 2026
Adoption signal: 1.4K downloadsadoption · observed Oct 10, 2026
Latest release: 1.8.0release · observed Jun 6, 2026
Handshake status: UNKNOWNsecurity

Install and run

Setup complexity: medium.

clawhub skill install s17aecn58hk3xdbx0aekn3xq3d85k4d7:four-dimensional-deep-reading

Python environment detected. Create a strict virtual environment (`python -m venv .venv`) before installing dependencies to prevent system-level package conflicts.
Setup complexity is classified as HIGH. You must provision dedicated cloud infrastructure or an isolated VM. Do not run this directly on your local workstation.
Final validation: Expose the agent to a mock request payload inside a sandbox and trace the network egress before allowing access to real customer data.

Contract: missing

curl -s "https://www.xpersona.co/api/v1/agents/clawhub-zhangboheng-four-dimensional-deep-reading/snapshot"

Documentation

CLAWHUB

147,370 characters of source documentation, loaded on request.

Extracted files

5 files captured from the source.

SKILL.md

---
name: four-dimensional-deep-reading
version: 1.8.0
author: 张权 (Zhang Quan)
author_website: https://www.luckydesigner.space
author_brand: Luckydesigner（行运设计师）
author_pen_name: 伯衡君
description: Four-Dimensional Deep Reading skill. Triggers when: (1) User provides a book title or file for analysis (2) Multi-perspective breakdown of content is needed (3) First principles, structured notes, counterarguments, and random identity perspectives are desired. Summons 4 virtual personas to read simultaneously, then synthesizes and saves to reports folder. Supports multi-language output (English/Chinese/Japanese/Korean/etc.). Version 1.8.0 - Added export functionality (Anki/Obsidian/Notion) + Flashcard generation.
Version 1.7.5 - Added book introduction in standard mode + output path quality check.
Version 1.7.4 - Added auto book review search + detailed book introduction.
Version 1.7.3 - Added Speed Reading Mode.
---

# Four-Dimensional Deep Reading

## 🎓 User Onboarding

When a user uses this skill for the **first time**, provide an interactive onboarding guide in their language. The onboarding should explain:

1. **What this skill does** - Multi-perspective deep analysis
2. **The 4 personas** - Their roles and what they contribute
3. **How to use the report** - Understanding the output structure
4. **Tips for best results** - Getting the most value

### Language-Specific Onboarding Templates

#### English (en)

```
🎓 Welcome to Four-Dimensional Deep Reading!

This skill summons 4 virtual personas to analyze your content from different angles simultaneously:

┌─────────────────────────────────────────────────────────────┐
│  🔬 Axiom Analyst        →  First Principles Thinking        │
│     Strips away surface details to find fundamental truths  │
│                                                             │
│  📝 LMS Architect        →  Structured Notes                │
│     Organizes insights into Logic-Method-Summary format     │
│                                                             │
│  ⚡ Black Swan Hunter    →  Counterarguments & Edge Cases   │
│     Finds what could go wrong and challenges assumptions    │
│                                                             │
│  🎲 Random Variable X    →  Unexpected Perspectives         │
│     Brings fresh insights from random identity angles       │
└─────────────────────────────────────────────────────────────┘

📊 What you'll get:
• A comprehensive analysis report (saved to workspace/reports/)
• Multiple perspectives on the same content
• Actionable insights and structured notes
• Critical thinking challenges

⚡ Speed Reading Mode:
• Get core insights in just 30 seconds
• Trigger: Say "speed read [book title]" or "quick read [book title]"
• Output: Core premises + One-sentence summary + Key questions
• Best for: Quick book screening, time-constrained insights

💡 Tips for best results:
• Provide specific book titles or upload files for deeper analysis
• Ask follow-up questions about spe

_meta.json

{
  "ownerId": "kn7bj8mtcw6j7s73kyz9zhck6985kv85",
  "slug": "four-dimensional-deep-reading",
  "version": "1.8.0",
  "publishedAt": 1780730599657
}

reference/identity_modules.md

# Identity Modules - Random Role Pool

**Purpose**: Role extraction for "Random Variable X" persona in Deep Reader skill  
**Updated**: 2026-04-28  
**Selection Method**: Monte Carlo random sampling  
**Languages**: EN (primary), ZH/JA/KO supported

---

## Role List

### 🎭 Time Traveler Series

| ID | Role Name | Background | Core Perspective |
|----|-----------|------------|------------------|
| T001 | 2045 Cyberpunk Resident | Living in a highly technological, AI-governed future city | Techno-pessimism, wary of over-automation |
| T002 | 1920s Shanghai Merchant | National entrepreneur in Shanghai Concession during Republican era | Survival philosophy in chaotic times, pragmatism |
| T003 | 2150 Mars Colonist | Third generation of first Mars pioneers | Resource scarcity perspective, extreme environment survival |
| T004 | 1789 French Revolution Participant | Revolutionary or royalist on Paris streets | Cost and lessons of structural change |
| T005 | 1980s Shenzhen Migrant Worker | First generation migrant worker during China's reform era | Era dividends and social change |
| T006 | 3024 Interstellar Federation Citizen | Ordinary citizen after humanity colonized multiple planets | Interstellar governance and civilization survival |

### 💰 Investment & Finance Series

| ID | Role Name | Background | Core Perspective |
|----|-----------|------------|------------------|
| I001 | Charlie Munger | Berkshire Hathaway Vice Chairman | Multi-disciplinary mental models, antifragile investing |
| I002 | George Soros | Quantum Fund Founder | Reflexivity theory, macro hedging |
| I003 | Ray Dalio | Bridgewater Associates Founder | Principles-based approach, debt crisis cycles |
| I004 | Warren Buffett | Berkshire Hathaway CEO | Value investing, long-term compounding mindset |
| I005 | Jesse Livermore | 1920s Wall Street legendary trader | Trend trading, position management |
| I006 | Peter Lynch | Legendary fund manager | Retail investor mindset, finding tenbaggers |
| I007 | Nassim Taleb | Author of "The Black Swan" | Uncertainty, tail risk |
| I008 | John Templeton | Global investing pioneer | Contrarian investing, buying at maximum pessimism |

### 🎨 Creative Workers Series

| ID | Role Name | Background | Core Perspective |
|----|-----------|------------|------------------|
| C001 | Hayao Miyazaki | Japanese animation master | Artisan spirit, emotional power of stories |
| C002 | Haruki Murakami | Japanese author | Minimalism, writing as lifestyle |
| C003 | Christopher Nolan | Film director | Narrative structure, philosophy of time |
| C004 | Steve Jobs | Apple founder | Product aesthetics, minimalism |
| C005 | Ang Lee | Chinese-American director | East-West cultural fusion |
| C006 | Yayoi Kusama | Japanese artist | Pop art and spiritual world |
| C007 | Quentin Tarantino | Film auteur | Violence aesthetics, non-linear narrative |
| C008 | Lei Jun | Xiaomi founder | Internet thinking, ecosystem building |

### 🔬 Academic Researchers Series

| ID

skill-card.md

## Description:

Four Dimensional Deep Reading analyzes books or uploaded files through four persona perspectives, synthesizing first principles, structured notes, counterarguments, and unexpected viewpoints into multilingual reports with optional exports.

This skill is ready for commercial/non-commercial use.

## Publisher:

[zhangboheng](https://clawhub.ai/user/zhangboheng)

### License/Terms of Use:

MIT-0

## Use Case:

External users and developers use this skill to turn a book title or document into multi-perspective reading analysis, quick summaries, structured notes, and reusable flashcards or knowledge-base exports.

### Deployment Geography for Use:

Global

## Known Risks and Mitigations:

Risk: Automatic web lookups may disclose book titles, queries, or surrounding context to external services.

Mitigation: Use the skill only with content you are comfortable sending through lookup tools, or disable external lookup behavior before analyzing sensitive material.

Risk: Report and cache persistence may retain analyzed content in the workspace.

Mitigation: Review the generated workspace/reports output and cache locations, and delete retained files when working with private or time-limited material.

Risk: Multi-agent analysis of untrusted content can amplify misleading claims or instructions from source documents.

Mitigation: Review generated analysis before relying on it, especially for sensitive decisions or adversarial documents.

Risk: Notion export can send report content to a configured external workspace.

Mitigation: Configure Notion export only when intentional, and confirm the target database and API credentials before syncing reports.

## Reference(s):

- [ClawHub Skill Page](https://clawhub.ai/zhangboheng/skills/four-dimensional-deep-reading)
- [Author Website](https://www.luckydesigner.space)
- [Identity Modules](artifact/reference/identity_modules.md)
- [Book Parser Reference](artifact/reference/book_parser.py)

## Skill Output:

**Output Type(s):** [text, markdown, configuration, guidance]

**Output Format:** [Markdown analysis reports, CSV flashcards, Obsidian Markdown, and Notion JSON blocks]

**Output Parameters:** [1D]

**Other Properties Related to Output:** [May save reports under workspace/reports and export to external knowledge tools when configured.]

## Skill Version(s):

1.8.0 (source: server release evidence and frontmatter)

## Ethical Considerations:

Users should evaluate whether this skill is appropriate for their environment, review any generated or modified files before relying on them, and apply their organization's safety, security, and compliance requirements before deployment.

requirements.txt

# Optional dependencies for file parsing
# Install only if you need to parse local files

# PDF parsing (alternative: use PyPDF2 which is pure Python)
pdfplumber>=0.10.0

# EPUB parsing
ebooklib>=0.18
beautifulsoup4>=4.12.0
lxml>=4.9.0

# ====================
# Export Utilities (v1.8.0+)
# ====================
# Anki export: No additional dependencies needed
# Obsidian export: No additional dependencies needed
# Notion export (optional, for Notion integration)
notion-client>=2.0.0

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