trustlayer-sybil-scanner

Detect Sybil rings and fake reviews across 20 blockchain chains.

14|2|Updated Mar 19, 2026
One-click install
npx skills add https://github.com/Eskyee/agentbot-opensource --skill trustlayer-sybil-scanner-eskyee
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: trustlayer-sybil-scanner
Source: https://github.com/Eskyee/agentbot-opensource/tree/main/skills/trustlayer-sybil-scanner
Command: npx skills add https://github.com/Eskyee/agentbot-opensource --skill trustlayer-sybil-scanner-eskyee

SYSTEM DOCUMENTATION & REQUIREMENTS

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

What problem does it solve?

Identifies Sybil rings, fake reviews, and rating manipulation across 20 chains, helping ensure the authenticity of ERC-8004 agent ratings.

Core Features & Use Cases

  • Sybil Detection: Identifies networks of wallets that excessively review each other.
  • Quality Scoring: Evaluates the reputation of reviewers and their feedback.
  • Cross-Chain Analysis: Compares reputation across different chains.
  • Anomaly Detection: Flags sudden bursts of reviews or other unusual activity.
  • Use Case: Before paying an agent through x402, use this skill to ensure the rating is genuine and avoid potential scams.

Quick Start

Run 'trustlayer-sybil-scanner --scan chain:agent_id'

Frequently Asked Questions about trustlayer-sybil-scanner

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

FAQPage Schema
How do I detect Sybil rings and fake reviews before paying an ERC-8004 agent?

To detect Sybil rings and fake reviews before paying an ERC-8004 agent, you can run a trust layer analysis using the TrustLayer service. This scans for manipulative rating patterns and verifies reviewer reputation across multiple chains to ensure agent ratings are genuine.

What is cross-chain reputation analysis for blockchain agents?

Cross-chain reputation analysis is the process of comparing reviewer feedback and rating data across 20 different blockchain networks. It identifies networks of wallets excessively reviewing each other to expose manipulative activity and verify the authenticity of agent ratings.

How do I scan an agent for rating manipulation and anomalous review bursts?

You can scan an agent for rating manipulation by executing the command 'trustlayer-sybil-scanner --scan chain:agent_id'. This triggers an API call to analyze reputation data, flagging sudden bursts of reviews and evaluating the quality score of the reviewers.

Do I need curl installed to perform Sybil detection and security assessments?

Yes, you need the curl command-line tool installed to perform Sybil detection and security assessments. The Skill relies on curl to execute scripts and make the necessary API calls to the TrustLayer service for cross-chain analysis.

What's the best way to verify reviewer authenticity across multiple blockchains?

The best way to verify reviewer authenticity across multiple blockchains is to use a dedicated trust assessment tool that performs cross-chain analysis. This approach evaluates reviewer quality scores and flags anomalous review bursts to prevent potential scams.

How many blockchain chains are supported for rating verification and Sybil detection?

Rating verification and Sybil detection support analysis across 20 different blockchain chains. This extensive cross-chain coverage ensures that reputation data and manipulative rating patterns are accurately compared and verified regardless of the underlying network.