sybil-detection

Installation
SKILL.md

Sybil Detection — Coordinated Wallet & Fake Activity Analysis

Sybil attacks in Solana token markets involve a single entity operating many wallets to create the illusion of organic activity. This skill covers detecting coordinated wallet clusters, wash trading, bundled transactions, and fake holder inflation — critical for evaluating whether a token's metrics reflect real demand or manufactured signals.

Why Sybil Detection Matters

Token markets on Solana are rife with manufactured signals:

  • Inflated holder counts: 500 "holders" that are really 10 entities with 50 wallets each
  • Fake volume: Wash trading between self-controlled wallets to simulate demand
  • Artificial social proof: Many wallets holding small amounts to appear broadly distributed
  • Rug preparation: Creator distributes supply across many wallets, then sells coordinated
  • Bundled launches: PumpFun tokens where creator buys via Jito bundle in first slot

A token showing 1,000 holders with 80% funded from 3 wallets is fundamentally different from one with 1,000 independently-funded holders. Sybil detection separates real demand from theater.

Detection Categories

1. Funding Source Analysis

Related skills
Installs
50
GitHub Stars
20
First Seen
Mar 21, 2026