trustlayer-sybil-scanner

Detect fraudulent reviews and Sybil rings in ERC-8004 reputation systems.

Updated Jun 11, 2026
One-click install
npx skills add https://github.com/dnzengou/agentbot-opensource --skill trustlayer-sybil-scanner
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: trustlayer-sybil-scanner
Source: https://github.com/dnzengou/agentbot-opensource/tree/main/skills/trustlayer-sybil-scanner
Command: npx skills add https://github.com/dnzengou/agentbot-opensource --skill trustlayer-sybil-scanner

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

This Skill identifies fake reviews, Sybil rings, and reputation laundering in ERC-8004 agent ratings, helping to ensure trust and reliability in agent reputation systems.

Core Features & Use Cases

  • Sybil Detection: Identifies clusters of wallets that only review each other, flagging potential Sybil rings.
  • Review Quality: Scores reviews based on reviewer reputation, distinguishing between reviews from trusted and throwaway wallets.
  • Cross-Chain Analysis: Checks for reputation inconsistencies across different chains, highlighting potential laundering.
  • Temporal Anomalies: Flags sudden bursts of positive reviews following negative ones, indicating potential manipulation.
  • Spam Detection: Identifies known spam patterns through tag analysis and filtering.
  • Use Case: Before engaging with an agent or paying them, use this Skill to verify the authenticity of their ratings and reviews.

Quick Start

Run the sybil scan for an agent on the Base chain with the command: curl -s "https://api.thetrustlayer.xyz/trust/base:<agentId>"

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 in ERC-8004 agent reputation systems?

This Skill detects Sybil rings in ERC-8004 agent reputation systems by identifying clusters of wallets that only review each other, helping you spot fake reviews and reputation laundering before engaging with an agent.

What is a Sybil attack in agent reputation systems and how does cross-chain analysis help?

A Sybil attack in agent reputation systems involves coordinated fake wallets manipulating ratings. Cross-chain analysis detects this by checking for reputation inconsistencies across multiple blockchains, highlighting potential laundering attempts.

How do I scan an agent for fake reviews and temporal anomalies on the Base chain?

You scan an agent for fake reviews and temporal anomalies on the Base chain by running the API command: curl -s "https://api.thetrustlayer.xyz/trust/base:<agentId>" to retrieve the reputation analysis.

Do I need API access to TrustLayer's Sybil Scanner service to analyze review quality?

Yes, you need API access to TrustLayer's Sybil Scanner service to analyze review quality, as the Skill depends on this external endpoint to score reviews based on reviewer reputation and identify spam patterns.

Can I check cross-chain reputation consistency for ERC-8004 agents across multiple chains?

Yes, you can check cross-chain reputation consistency for ERC-8004 agents across multiple chains. The Skill analyzes reputation data across different networks to highlight potential laundering and fraudulent review manipulation.

What are the limitations of using automated Sybil detection for ERC-8004 ratings?

Limitations of automated Sybil detection for ERC-8004 ratings include the dependency on TrustLayer's API service access and the potential for sophisticated spam patterns to evade temporal anomaly and tag analysis filters.