Edge Knowledge

Chinese Documentation | English Documentation

AI-powered edge knowledge mining system. Intelligently recommends high-value forums (Reddit, BlackHatWorld, GreyHatMafia, etc.) based on user needs, performs deep crawling with browser-use, visual recognition, and analyzes edge tactics, power users, and resources, outputting a single structured Markdown report.

🎯 Core Philosophy

💡 Knowledge Equity Initiative This project encourages community contributions! You can create branches on Git to build domain-specific search expert skills (e.g., SEO Expert, Affiliate Hunter, Tool Digger), making edge knowledge accessible to more people.

🤝 How to Contribute PRs:

• 🌿 Build Domain-Specific Branches - Create specialized versions for specific domains (e.g., seo-expert, affiliate)
• 🔧 Optimize Existing Skill - Improve tool versatility and robustness (anti-scraping strategies, error handling, performance optimization)
• 📚 Share Quality Forums - Add deep-dive forums you use to forum_database.json with search strategies
• 🤖 Add Automation Capabilities - Integrate scheduled tasks, push to Notion/Feishu/Slack and other collaboration tools

Let's break information barriers and promote knowledge equity together! 🚀

What is Edge Knowledge?

In the AI era, information that LLMs can easily understand or collect from the internet is considered common knowledge. Edge knowledge refers to scarce, industry know-how, and gray/black hat techniques that reach the boundaries of platform rules.

Edge Knowledge Includes:

• ✅ Black/White/Gray Hat SEO: PBN, Parasite SEO, Cloaking, Link Farms
• ✅ Tactical Tricks: Banned, risky, but effective methods
• ✅ Underground Tools: GSA SER, SEnuke, Xrumer, Scrapebox
• ✅ Real Data: Success rates, prices, risks, case numbers
• ✅ Controversial Tactics: High-voted replies, controversial discussions, practical sharing

Does NOT Include:

• ❌ White Hat Platitudes ("write good content and traffic will come")
• ❌ Official Documentation (Google SEO Guidelines)
• ❌ Mainstream Advice ("improve user experience")

Three Characteristics of Edge Knowledge

1. Freshness - Recent information (post-2025)
2. Scarcity - Exclusive information (known in small circles)
3. Credibility - Trustworthy information (with data and cases)

✨ Core Capabilities

• 🎯 Intent Extraction & Query Generalization - Generalizes query directions and recommends high-quality forums
• 🧠 User Preference Memory - Remembers favorite forums and search habits
• 🔐 Credential Management - Automatically manages forum credentials, supports session reuse
• 🛡️ Anti-Detection System - Fixed fingerprints, random delays, session management to reduce account risk
• 🌐 Smart Browser Crawling - Uses browser-use skill, supports screenshots + visual recognition
• 🔍 Deep Content Analysis - Edge knowledge identification, power user identification, resource extraction
• 📊 Single Report Output - Named by date + topic, structured display

📦 Installation

Copy this skill to Claude Code's skills directory:

cp -r edge-knowledge ~/.claude/skills/

⚙️ Configuration Files

1. forum_database.json

The forum knowledge base containing forum information and search strategies.

Structure:

{
  "categories": {
    "Q&A_Search": {
      "description": "Suitable for mining deep discussions and real user feedback in comment sections",
      "forums": [...]
    },
    "Edge_Knowledge_Search": {
      "description": "Suitable for mining gray/black hat techniques not found in mainstream channels",
      "forums": [...]
    },
    "Deep_Dive_Forums": {
      "description": "Deep content that others don't know about",
      "forums": [...]
    }
  },
  "search_strategies": {
    "Instagram_Growth": {
      "keywords": [...],
      "recommended_forums": [...],
      "focus": "Real feedback in comment sections and gray techniques"
    }
  }
}

Usage:

• The system automatically reads this file to recommend forums
• You can add new forums or search strategies
• Each forum includes: name, URL, rating, cost, target audience, tags

2. memory.json.template

Template for user preferences and crawling history. Copy to memory.json for first use:

cp memory.json.template memory.json

Structure:

{
  "userPreferences": {
    "favoriteForums": ["BestBlackHatForum"],
    "domains": ["SEO", "Black Hat Techniques", "Traffic Arbitrage"],
    "lastUsedDomain": "Black Hat SEO"
  },
  "forumCredentials": {
    "bestblackhatforum.com": {
      "username": "",
      "password": "",
      "lastLogin": "",
      "loginCount": 1,
      "cookies": null,
      "localStorage": null,
      "sessionValid": true
    }
  },
  "crawledResources": [],
  "antiDetection": {
    "viewport": {"width": 1920, "height": 1080},
    "userAgent": "",
    "timezone": "",
    "locale": "",
    "randomDelayRange": [5000, 30000],
    "maxLoginPerDay": 3,
    "reuseSession": true,
    "sessionExpiryHours": 24
  }
}

Fields Explanation:

• userPreferences: Your favorite forums and domains
• forumCredentials: Forum login credentials (auto-saved when you provide them)
• crawledResources: History of crawled URLs (prevents duplicate crawling)
• antiDetection: Anti-detection configuration (viewport, delays, login limits)

Privacy Note: memory.json is in .gitignore and won't be committed to Git. Your credentials are safe locally.

🚀 Usage

Basic Usage

Use edge-knowledge to mine cost-effective Instagram growth services

Real-World Examples

Demonstrate the skill's edge knowledge tracking capabilities:

Example 1: Black Hat SEO Techniques

Use edge-knowledge to find the latest black hat SEO techniques for 2026

What you'll get:

• Latest PBN (Private Blog Network) strategies
• Parasite SEO tactics that still work
• Cloaking techniques to bypass Google detection
• Link farming methods and automation tools

Example 2: Affiliate Marketing Arbitrage

Use edge-knowledge to discover profitable affiliate traffic sources

What you'll get:

• Underground traffic sources with high ROI
• CPA networks that accept gray hat methods
• Media buying strategies from top affiliates
• Real case studies with actual numbers

Example 3: Social Media Growth Hacks

Use edge-knowledge to find Instagram automation tools that bypass detection

What you'll get:

• Automation bots that work in 2026
• SMM panels with real engagement
• Growth hacking scripts and techniques
• Risk assessment and detection avoidance

Example 4: Tool Discovery

Use edge-knowledge to find cracked SEO tools and automation software

What you'll get:

• Working cracks for premium SEO tools
• Automation scripts for scraping and posting
• Nulled WordPress plugins and themes
• Community reviews and safety ratings

Workflow

1. Stage 1: Forum Recommendation - System recommends relevant forums based on your needs
2. Stage 2: Smart Crawling - Deep crawls forum content using browser-use
3. Stage 3: Content Analysis - Identifies edge knowledge, power users, resources
4. Stage 4: Report Generation - Outputs structured Markdown report

📚 Supported Forums (Partial List)

Rank	Forum	Rating	Cost	Target Audience
1	GreyHatMafia	9.5/10	Free	Everyone
4	SEO Isn't Dead	9/10	Free	SEO Practitioners
6	BlackHatWorld	8.5/10	Free	General Marketing
7	BestBlackHatForum	9.5/10	Free	Recommended: slenderman's posts
8	Reddit	10/10	Free	Value in comment sections

📋 Report Example

Generated reports contain three-layer analysis:

1. Edge Knowledge Identification

### Edge Knowledge #1: [Knowledge Title]
**Compressed Expression**: [One-sentence summary]
**Easy Explanation**: [Detailed explanation]
**Viewpoints**: @username: "viewpoint content"
**Risk**: [Potential risks]
**Cost**: [Time/money/learning cost]
**Source Link**: [Original link]

2. Power User Identification

### Power User #1: @username
**Username**: username (forum name)
**High-Energy Viewpoints**: "viewpoint1", "viewpoint2"
**Link**: [User profile link]

3. Resource Extraction

### Resource #1: [Tool/Service Name]
**Name**: Tool name
**Link**: [Tool link]
**Description**: [Feature description]
**Price**: [Price information]
**Review**: [User review summary]

🔧 Technical Architecture

Dependencies

• Claude Code CLI
• browser-use skill
• Python 3.8+

Data Flow

User Need → Read memory.json → Recommend Forums → User Confirms →
Check Credentials → Apply Anti-Detection Config → browser-use Crawl →
Claude Analysis → Generate Report → Update memory.json

Reference Screenshots

⚠️ Important Notes

1. Legal Use - For educational and research purposes only, comply with forum rules and local laws
2. Account Security - Use dedicated accounts, avoid using your main accounts
3. Anti-Detection - System automatically applies anti-detection strategies, but use cautiously
4. Content Risk - Edge knowledge may contain risky operations, use your own judgment

📄 License

MIT License

👤 Author

黑咖啡和冰月亮 / Black Coffee & Ice Moon (@weihackings)

🤝 Contributing

Issues and Pull Requests are welcome!

⭐ Star History

❓ FAQ

Q1: Is this tool legal to use?

A: This tool is for educational and research purposes only. Always comply with forum terms of service and local laws. Use at your own risk.

Q2: Will my account get banned?

A: The tool includes anti-detection features (random delays, session reuse, login limits), but there's always a risk. We recommend:

• Use dedicated accounts, not your main accounts
• Respect the maxLoginPerDay limit (default: 3)
• Don't crawl too aggressively

Q3: Do I need to provide forum credentials?

A: Only for forums that require login (like BestBlackHatForum). For public forums (like Reddit), no credentials needed. Your credentials are stored locally in memory.json and never committed to Git.

Q4: How do I add my own forums?

A: Edit forum_database.json and add your forum to the appropriate category:

{
  "name": "YourForum",
  "url": "https://yourforum.com",
  "rating": 9.0,
  "cost": "Free",
  "target_audience": "Your Target Audience",
  "tags": ["tag1", "tag2"]
}

Q5: Can I create domain-specific branches?

A: Yes! Fork the repo and create a branch like seo-expert or affiliate. Customize forum_database.json and skill.md for your domain. See our contribution guidelines.

Q6: How do I integrate with Notion/Feishu?

A: This is a community contribution opportunity! You can:

1. Fork the repo
2. Add integration code to push reports to your collaboration tool
3. Submit a PR with your integration

Q7: What's the difference between edge knowledge and common knowledge?

A:

• Common Knowledge: Information easily found via Google/ChatGPT (e.g., "write good content")
• Edge Knowledge: Scarce, risky, or controversial tactics from underground communities (e.g., "PBN networks that bypass Google penalties in 2026")

Q8: How often is the forum database updated?

A: Community-driven! Submit PRs to add new forums or update ratings. We review and merge quality contributions regularly.

Q9: Can I use this for white hat SEO?

A: While the tool focuses on "edge" knowledge, you can customize forum_database.json to include white hat forums and adjust search strategies accordingly.

Q10: How do I report bugs or request features?

A: Open an issue on GitHub Issues with:

• Clear description of the bug/feature
• Steps to reproduce (for bugs)
• Expected vs actual behavior
• Your environment (OS, Claude Code version)