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Monk Eye Engine

MONK EYE 👁️ Deep Intelligence & Human Experience Oracle

balkanblbn0 来源安装数☆ 0 仓库 Stars

安装与使用

请根据来源仓库和你的 AI 工具说明安装此技能。先阅读技能文件和依赖要求,再添加到工作流。

SkillHub CLI

skillhub install balkanblbn/monk-eye-engine

打开来源仓库,查看说明和兼容环境后,按来源提供的命令或步骤安装。

将来源链接提供给你的 Agent,让它先读取说明、核对依赖,并向你说明将执行的安装步骤。

查看来源 ↗使用指南

技能说明

MONK-EYE 👁️ - Deep Intelligence & Human Experience Oracle

MONK-EYE is a specialized OpenClaw skill designed for deep infiltration and synthesis of forum-based human intelligence. While most search tools focus on surface-level web pages, MONK-EYE dives into the "tacit knowledge" buried in the world's most active and niche forums (R10, BlackHatWorld, Reddit, Habr, etc.).

🐒 The Philosophy

"Millions of discussions, one truth." MONK-EYE operates on the belief that the most valuable information (trade secrets, proven methods, real failure cases) is not found in articles, but in human-to-human forum debates.

🛠️ Operational Phases (The 4 Pillars)

  1. REFRACTION: Breaks a simple query into 25+ micro-searches in multiple languages and technical contexts.
  2. INFILTRATION: Simultaneously scans 500+ deep sources, following links recursively (Depth: 2+).
  3. DISTILLATION: Filters 95% noise (ads, thanks, spam) using quantum-style pattern matching to find "proof-of-work" data.
  4. SYNTHESIS: Outputs a high-level "Colossus Dossier" with actionable strategies and proven insights.

🚀 Installation & Setup

1. Install via ClawHub
openclaw install monk-eye-engine
2. Manual Setup

If you want to customize the forum list (forums.json):

  1. Copy the monk-eye-engine folder to your skills directory.
  2. Ensure you have requests and beautifulsoup4 installed in your environment.

🔍 How to Run

Trigger it inside your OpenClaw session: "Research [Topic] using MONK-EYE 👁️"

Example: "MONK-EYE: What are the secret high-margin SaaS niches in 2026?"

📊 Capabilities

  • Region Focus: TR, GLOBAL, RU, DE, ASIA.
  • Volume: Handles up to 10M+ tokens of raw forum data.
  • Output: Clean, strategic reports with source attribution.

Created by maymun & Balkan. Part of the Agentic Evolution initiative.

来源信息

Source
github
Repository
openclaw/skills
Path
skills/balkanblbn/monk-eye-engine
Version
—
Commit
86d3d921674ab356c05bfae031d384eac786d37b
分类来源
rules
状态
active
可见性
public

这些信息来自收录时的来源分析,可能滞后;使用前请核对最新来源文件。

来源内容

SKILL.md
# MONK-EYE 👁️ - Deep Intelligence & Human Experience Oracle

MONK-EYE is a specialized OpenClaw skill designed for deep infiltration and synthesis of forum-based human intelligence. While most search tools focus on surface-level web pages, MONK-EYE dives into the "tacit knowledge" buried in the world's most active and niche forums (R10, BlackHatWorld, Reddit, Habr, etc.).

## 🐒 The Philosophy
"Millions of discussions, one truth." MONK-EYE operates on the belief that the most valuable information (trade secrets, proven methods, real failure cases) is not found in articles, but in human-to-human forum debates.

## 🛠️ Operational Phases (The 4 Pillars)
1. **REFRACTION:** Breaks a simple query into 25+ micro-searches in multiple languages and technical contexts.
2. **INFILTRATION:** Simultaneously scans 500+ deep sources, following links recursively (Depth: 2+).
3. **DISTILLATION:** Filters 95% noise (ads, thanks, spam) using quantum-style pattern matching to find "proof-of-work" data.
4. **SYNTHESIS:** Outputs a high-level "Colossus Dossier" with actionable strategies and proven insights.

## 🚀 Installation & Setup

### 1. Install via ClawHub
```bash
openclaw install monk-eye-engine
```

### 2. Manual Setup
If you want to customize the forum list (`forums.json`):
1. Copy the `monk-eye-engine` folder to your skills directory.
2. Ensure you have `requests` and `beautifulsoup4` installed in your environment.

## 🔍 How to Run
Trigger it inside your OpenClaw session:
"Research [Topic] using MONK-EYE 👁️"

Example:
"MONK-EYE: What are the secret high-margin SaaS niches in 2026?"

## 📊 Capabilities
- **Region Focus:** TR, GLOBAL, RU, DE, ASIA.
- **Volume:** Handles up to 10M+ tokens of raw forum data.
- **Output:** Clean, strategic reports with source attribution.

---
*Created by **maymun** & **Balkan**. Part of the Agentic Evolution initiative.*

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