sybil-detection
CommunityUnmask coordinated wallets & fake activity.
Finance & Accounting#token analysis#solana#sybil detection#wash trading#on-chain forensics#market manipulation
Authoragiprolabs
Version1.0.0
Installs0
System Documentation
What problem does it solve?
This Skill helps identify and quantify artificial activity in token markets, separating genuine demand from manufactured signals caused by Sybil attacks.
Core Features & Use Cases
- Funding Source Analysis: Trace SOL funding origins for token holders to detect clusters.
- Co-Trading Patterns: Identify wallets buying the same token within tight time windows.
- Bundled Transaction Detection: Flag buys executed in single transactions or Jito bundles.
- Wash Trading Identification: Detect circular buy/sell patterns between wallets.
- Use Case: Before investing in a new Solana token, use this Skill to analyze its holder base and transaction history to assess the risk of inflated metrics due to Sybil activity.
Quick Start
Analyze the token with mint address 'So11111111111111111111111111111111111111111' for sybil activity.
Dependency Matrix
Required Modules
httpx
Components
scriptsreferences
💻 Claude Code Installation
Recommended: Let Claude install automatically. Simply copy and paste the text below to Claude Code.
Please help me install this Skill: Name: sybil-detection Download link: https://github.com/agiprolabs/claude-trading-skills/archive/main.zip#sybil-detection Please download this .zip file, extract it, and install it in the .claude/skills/ directory.
Agent Skills Search Helper
Install a tiny helper to your Agent, search and equip skill from 223,000+ vetted skills library on demand.