trustlayer-sybil-scannerFeedback forensics for ERC-8004 agents. Detects Sybil rings, fake reviews, rating manipulation, and reputation laundering across 20 chains. No API key needed.
Install via ClawdBot CLI:
clawdbot install goatgaucho/trustlayer-sybil-scannerGrade Fair — based on market validation, documentation quality, package completeness, maintenance status, and authenticity signals.
Sends data to undocumented external endpoint (potential exfiltration)
report → https://thetrustlayer.xyz/agent/base:1378`Calls external URL not in known-safe list
https://api.thetrustlayer.xyz`AI Analysis
The skill's external API calls are directly aligned with its stated purpose of scanning agent reputation and are documented in the skill definition. While it sends a query containing a user-provided agent identifier to an external service, this is the core functionality and does not constitute unauthorized data exfiltration or credential harvesting. No hidden instructions or obfuscation were found.
Audited Apr 17, 2026 · audit v1.0
Generated Mar 21, 2026
Before sending x402 micropayments or any transaction to an unknown agent, use this skill to check for Sybil rings and fake reviews. It helps prevent fraud by analyzing reviewer credibility and cross-chain laundering risks, ensuring you only pay legitimate agents.
When entering escrow agreements with agents, scan their reputation to detect rating manipulation and spam feedback. This reduces financial exposure by flagging high-risk agents based on trust scores and anomaly flags like review bombing.
Evaluate potential agents for hiring or task delegation by checking their trust score and reviewer-weighted score. It identifies if good ratings come from low-quality reviewers, helping you select reliable agents for critical operations.
Audit agents operating across multiple chains like Base and BSC to uncover reputation laundering. Use cross-chain signals to detect score divergence and laundering risks, ensuring consistent agent trustworthiness regardless of chain.
When users ask if an agent is legit, quickly provide a fraud analysis using the skill's API. Report sybil risk, anomaly flags, and trust score to inform decisions, enhancing user confidence in agent interactions.
Offer free basic scans during beta, then introduce x402 micropayments for premium features like detailed visual reports or higher rate limits. Monetize through transaction fees from users verifying agents before payments.
License the skill to AI agent platforms and decentralized marketplaces for built-in fraud detection. Provide custom APIs and dashboards for monitoring agent reputations, generating revenue from licensing fees and support contracts.
Sell aggregated insights and leaderboard data to investors or researchers studying agent ecosystems. Offer premium visual reports and historical score snapshots for in-depth analysis, creating revenue from data subscriptions.
💬 Integration Tip
Use curl commands for quick API calls; start with the Sybil Scan endpoint to fetch JSON data and parse key fields like sybil_risk and anomaly_flags for decision logic.
Scored Jun 19, 2026
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