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trustlayer-sybil-scanner

Feedback forensics for ERC-8004 agents. Detects Sybil rings, fake reviews, rating manipulation, and reputation laundering across 5 chains. 80K+ agents scored. No API key needed.

goatgaucho0 来源安装数☆ 0 仓库 Starsv2.0.0

安装与使用

请根据来源仓库和你的 AI 工具说明安装此技能。先阅读技能文件和依赖要求,再添加到工作流。

SkillHub CLI

skillhub install goatgaucho/trustlayer-sybil-scanner

打开来源仓库,查看说明和兼容环境后,按来源提供的命令或步骤安装。

将来源链接提供给你的 Agent,让它先读取说明、核对依赖,并向你说明将执行的安装步骤。

查看来源 ↗使用指南

技能说明

TrustLayer Sybil Scanner — ERC-8004 Feedback Forensics

Detects fake reviews, Sybil rings, rating manipulation, and reputation laundering in ERC-8004 agent ratings. Covers 80,000+ agents across Base, Ethereum, BSC, Polygon, and Monad.

Most agent reputation systems show you the rating. This one tells you if the rating is real.

API Base: https://api.thetrustlayer.xyz No API key required (beta). Free during beta, x402 micropayments coming.

What this catches that others don't

  • Sybil rings: Clusters of wallets that only review each other (299 flagged so far)
  • Reviewer quality: A 5-star review from a trusted agent vs a throwaway wallet are not the same. Scores are weighted by reviewer reputation.
  • Cross-chain laundering: Agent has great reviews on BSC but terrible ones on Base? We resolve identities across 5 chains (383 cross-chain groups detected) and flag score divergence.
  • Temporal anomalies: Sudden bursts of positive reviews after a period of bad ones. Review bombing. Rating manipulation patterns over time.
  • Spam feedback: 1,298+ spam feedbacks detected via tag analysis. Filtered before scoring.

When to use this skill

  • Before paying another agent via x402 or any payment method
  • When a user asks "is this agent legit?" or "are these reviews real?"
  • Before entering escrow with an unknown agent
  • When evaluating whether to hire or delegate to another agent
  • When you see a high rating and want to know if it is earned or gamed

Sybil Scan

curl -s "https://api.thetrustlayer.xyz/trust/<chain>:<agentId>"

Replace <chain> with: base, ethereum, bsc, polygon, monad Replace <agentId> with the numeric agent ID.

Example:

curl -s "https://api.thetrustlayer.xyz/trust/base:1378"
What comes back

The response is JSON. The fields that matter most for fraud detection:

Sybil & fraud signals:

  • sybil_risk: "low" / "medium" / "high". High means the reviewer network looks artificial.
  • `anomaly_f...

来源信息

Source
github
Repository
openclaw/skills
Path
skills/goatgaucho/trustlayer-sybil-scanner
Version
2.0.0
Commit
d6382dc1f982c04fac89e4673c58ce6f720ebe24
分类来源
rules
状态
active
可见性
public

这些信息来自收录时的来源分析,可能滞后;使用前请核对最新来源文件。

README

TrustLayer Sybil Scanner

ERC-8004 feedback forensics skill for OpenClaw agents.

Most reputation systems show you the rating. This one tells you if the rating is real.

What it does

Before your agent pays another agent, this skill checks:

  • Sybil risk: Are the reviews from real agents or fake wallet clusters?
  • Reviewer quality: Is a 5-star rating from trusted agents or throwaway accounts?
  • Cross-chain laundering: Does the agent have different reputations on different chains?
  • Temporal anomalies: Sudden review bursts, rating manipulation patterns
  • Spam filtering: 1,298+ spam feedbacks detected and excluded from scoring

Covers 80,749 agents across Base, Ethereum, BSC, Polygon, and Monad.

Install

Paste this repo URL into your OpenClaw chat:

https://github.com/goatgaucho/trustlayer-sybil-scanner

Or manually copy SKILL.md to your OpenClaw skills directory.

Usage

Ask your agent:

  • "Check if agent base:1378 is legit"
  • "Scan base:5000 for Sybil risk before I pay them"
  • "Are the reviews for ethereum:42 real?"
  • "Show me the most trusted agents on Base"

API

No API key needed (beta). All endpoints at https://api.thetrustlayer.xyz

Endpoint What it does
/trust/base:1378 Full Sybil scan + trust score
/agent/base:1378 Basic agent info
/leaderboard?chain=base Top agents (Sybil-filtered)
/stats Network-wide statistics

Visual reports: https://thetrustlayer.xyz/agent/base:1378

Why this exists

ERC-8004 gives agents on-chain ratings. But a 4.5-star agent with reviews from a Sybil ring is not a 4.5-star agent. The spec authors anticipated "specialized reputation aggregators" would provide advanced scoring intelligence. That's what this is.

299 Sybil flags. 383 cross-chain identity groups. 6 detection methods. Daily updates.

Links

来源内容

SKILL.md
# TrustLayer Sybil Scanner — ERC-8004 Feedback Forensics

Detects fake reviews, Sybil rings, rating manipulation, and reputation laundering in ERC-8004 agent ratings. Covers 80,000+ agents across Base, Ethereum, BSC, Polygon, and Monad.

Most agent reputation systems show you the rating. This one tells you if the rating is real.

**API Base:** `https://api.thetrustlayer.xyz`
**No API key required** (beta). Free during beta, x402 micropayments coming.

## What this catches that others don't

- **Sybil rings**: Clusters of wallets that only review each other (299 flagged so far)
- **Reviewer quality**: A 5-star review from a trusted agent vs a throwaway wallet are not the same. Scores are weighted by reviewer reputation.
- **Cross-chain laundering**: Agent has great reviews on BSC but terrible ones on Base? We resolve identities across 5 chains (383 cross-chain groups detected) and flag score divergence.
- **Temporal anomalies**: Sudden bursts of positive reviews after a period of bad ones. Review bombing. Rating manipulation patterns over time.
- **Spam feedback**: 1,298+ spam feedbacks detected via tag analysis. Filtered before scoring.

## When to use this skill

- Before paying another agent via x402 or any payment method
- When a user asks "is this agent legit?" or "are these reviews real?"
- Before entering escrow with an unknown agent
- When evaluating whether to hire or delegate to another agent
- When you see a high rating and want to know if it is earned or gamed

## Sybil Scan

```bash
curl -s "https://api.thetrustlayer.xyz/trust/<chain>:<agentId>"
```

Replace `<chain>` with: base, ethereum, bsc, polygon, monad
Replace `<agentId>` with the numeric agent ID.

Example:
```bash
curl -s "https://api.thetrustlayer.xyz/trust/base:1378"
```

### What comes back

The response is JSON. The fields that matter most for fraud detection:

**Sybil & fraud signals:**
- `sybil_risk`: "low" / "medium" / "high". High means the reviewer network looks artificial.
- `anomaly_f...
README
# TrustLayer Sybil Scanner

ERC-8004 feedback forensics skill for OpenClaw agents.

Most reputation systems show you the rating. This one tells you if the rating is real.

## What it does

Before your agent pays another agent, this skill checks:
- **Sybil risk**: Are the reviews from real agents or fake wallet clusters?
- **Reviewer quality**: Is a 5-star rating from trusted agents or throwaway accounts?
- **Cross-chain laundering**: Does the agent have different reputations on different chains?
- **Temporal anomalies**: Sudden review bursts, rating manipulation patterns
- **Spam filtering**: 1,298+ spam feedbacks detected and excluded from scoring

Covers 80,749 agents across Base, Ethereum, BSC, Polygon, and Monad.

## Install

Paste this repo URL into your OpenClaw chat:

```
https://github.com/goatgaucho/trustlayer-sybil-scanner
```

Or manually copy `SKILL.md` to your OpenClaw skills directory.

## Usage

Ask your agent:
- "Check if agent base:1378 is legit"
- "Scan base:5000 for Sybil risk before I pay them"
- "Are the reviews for ethereum:42 real?"
- "Show me the most trusted agents on Base"

## API

No API key needed (beta). All endpoints at `https://api.thetrustlayer.xyz`

| Endpoint | What it does |
|----------|-------------|
| `/trust/base:1378` | Full Sybil scan + trust score |
| `/agent/base:1378` | Basic agent info |
| `/leaderboard?chain=base` | Top agents (Sybil-filtered) |
| `/stats` | Network-wide statistics |

Visual reports: `https://thetrustlayer.xyz/agent/base:1378`

## Why this exists

ERC-8004 gives agents on-chain ratings. But a 4.5-star agent with reviews from a Sybil ring is not a 4.5-star agent. The spec authors anticipated "specialized reputation aggregators" would provide advanced scoring intelligence. That's what this is.

299 Sybil flags. 383 cross-chain identity groups. 6 detection methods. Daily updates.

## Links

- [API Docs](https://thetrustlayer.xyz/docs)
- [Explorer](https://thetrustlayer.xyz)
- [ERC-8004 Spec](https://eips.eth...

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