sybil-detection

Detect Sybil attacks in Solana token markets using Helius API and RPC data.

266|54|Updated Mar 11, 2026
One-click install
npx skills add https://github.com/agiprolabs/claude-trading-skills --skill sybil-detection
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: sybil-detection
Source: https://github.com/agiprolabs/claude-trading-skills/tree/main/skills/sybil-detection
Command: npx skills add https://github.com/agiprolabs/claude-trading-skills --skill sybil-detection

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill requires httpx, and includes scripts (resource) and references (resource) components.

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.

Frequently Asked Questions about sybil-detection

High-intent search queries and answers about installing and using this skill.

FAQPage Schema
How do I detect Sybil attacks and wash trading in Solana token markets?

To detect Sybil attacks in Solana token markets, analyze wallet funding sources, co-trading patterns, bundled transactions, and wash trading activities. This process traces SOL funding origins to identify coordinated clusters and flags artificial demand.

How can I check a Solana token for fake volume and coordinated wallets before investing?

You can check a Solana token for fake volume by analyzing its holder base and transaction history to identify circular buy/sell patterns between wallets. This evaluates the authenticity of token metrics and user engagement.

What on-chain forensics are needed to identify bundled transactions and market manipulation on Solana?

On-chain forensics for market manipulation require tracing SOL funding origins and flagging buys executed in single transactions or Jito bundles. This detects co-trading wallets acting in tight time windows to inflate metrics.

Do I need a Helius API key to perform on-chain Sybil detection?

Yes, you need a Helius API key for transaction data and RPC access to retrieve holder information. These inputs are required to analyze wallet funding sources and generate a composite risk score for the token.

How does wallet funding source analysis separate genuine demand from manufactured Sybil signals?

Wallet funding source analysis separates genuine demand by tracing SOL origins to detect clusters funded by the same source. It identifies coordinated wallets executing wash trades to artificially inflate token market activity.

What are the limitations of using co-trading pattern detection for token analysis?

Co-trading pattern detection for token analysis is limited to identifying wallets buying within tight time windows. It cannot independently prove malicious intent without corroborating funding source analysis or wash trading identification data.