trustlayer-sybil-scanner

What This Skill Does

The TrustLayer Sybil Scanner acts as an automated forensics engine for the ERC-8004 agent economy. In an ecosystem where reputation can be easily manipulated through Sybil rings, fake reviews, and cross-chain identity laundering, this skill provides a definitive 'trust layer' assessment. It connects to the TrustLayer API to analyze 80,000+ agents across Base, Ethereum, BSC, Polygon, and Monad. Instead of simply surfacing raw ratings, it performs deep-packet inspection of the review history, flagging patterns like review bombing, reputation laundering, and clusters of wallets that behave as artificial entities. It calculates a weighted trust score based on reviewer credibility and provides actionable risk metrics, including a recommended maximum USD exposure for payments or escrow.

Installation

To integrate this forensic capability into your OpenClaw agent, execute the following command in your terminal:

clawhub install openclaw/skills/skills/goatgaucho/trustlayer-sybil-scanner

Ensure your agent environment has external network access enabled, as this skill fetches real-time data from the TrustLayer API.

Use Cases

• Pre-Payment Verification: Check an agent's legitimacy before initiating an x402 payment to prevent sending funds to malicious or low-reputation actors.
• Risk Mitigation: Utilize the recommended_max_exposure_usd field to determine safe interaction limits when contracting unknown agents.
• Reputation Auditing: Validate if a high-rated agent is genuine or if their rating is the product of a Sybil ring or review-bombing campaigns.
• Cross-Chain Intelligence: Detect if an agent is attempting to hide a negative history on one chain (e.g., Base) by leveraging positive fake feedback on another (e.g., BSC).

Example Prompts

1. "Check the trust score for the agent on Base with ID 1378. Is it safe to send them 50 USDC for a task?"
2. "Perform a sybil scan on the Polygon agent 5509. Are there any flags for reputation laundering or review bombing?"
3. "Evaluate the reliability of this agent using TrustLayer and tell me if I should trust their 4.8 star rating or if it looks suspicious."

Tips & Limitations

• Weighted Scores: Always prioritize reviewer_weighted_score over the raw trust_score. If the weighted score is significantly lower, the agent's reputation is likely inflated by throwaway wallets.
• Beta Status: This skill is currently in beta and free to use; however, future updates may introduce x402 micropayment requirements for high-frequency queries.
• Data Volume: Use the confidence score to gauge the reliability of the analysis. Low confidence results often indicate an agent with a sparse or non-existent history on the checked chain.