fraud-analyst

fraud-analyst is an agent for coding agents from jbwashington/ebay-mcp. It costs 7 tokens per session (2,117 once invoked), scanned A, original, MIT.

An agent that assesses eBay buyer accounts for signs of fraud or transaction risk.

In plain words
What is it for?
Use it to review account age, feedback, recent buyer activity, unpaid-item cases, feedback privacy, bidding patterns, shipping location, and other listed risk indicators.
Why use it?
It helps sellers evaluate suspicious buyers before accepting bids or offers, especially when account history or bidding behavior raises concerns.

Agent

Part of the ebay-listing-automation plugin — 13 commands, 5 agents, 3 hooks shipped together

Install

Getting it into your agent

One page per mod, every tool's command on it. A separate URL per tool would split the same page into five that compete with each other.

agentmods
npx agentmods add agents/jbwashington/ebay-mcp/fraud-analyst
Clone the repo
git clone --depth 1 https://github.com/jbwashington/ebay-mcp

Or install ebay-listing-automation, the plugin that ships this one along with the rest of its 13 commands, 5 agents, 3 hooks.

Wrote this? Show the measurements

A badge with what this costs and how it scanned, read live from this page, so it follows the numbers instead of freezing them. Markdown for a README, HTML for a documentation site or a project page.

agentmods badge for fraud-analyst

README.md
[![agentmods](https://agentmods.dev/badge/agents/jbwashington/ebay-mcp/fraud-analyst.svg)](https://agentmods.dev/agents/jbwashington/ebay-mcp/fraud-analyst)
Your own site
<a href="https://agentmods.dev/agents/jbwashington/ebay-mcp/fraud-analyst"><img src="https://agentmods.dev/badge/agents/jbwashington/ebay-mcp/fraud-analyst.svg" alt="Measured on agentmods" height="20"></a>
Per session 7 Only the description is in the session, so the agent can decide to use it. The body loads when it is invoked.
When invoked 2,117 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. Scan, not verified.
Origin original No closer match found in the catalogue.
Token cost

What it costs to keep this loaded

Counted locally with the o200k_base tokenizer, which is exact for GPT models; Claude uses its own tokenizer and its counts differ. Treat this as one consistent yardstick across the catalogue rather than a bill. Prices are per million input tokens.

ModelPer sessionOnce invoked
Fable 5 $0.00007 $0.02117
Opus 5 $0.00003 $0.01059
Sonnet 5 $0.00001 $0.00423
Haiku 4.5 $0.00001 $0.00212

Measured 5d ago against content hash c65a466dcb61, method: parsed. Prices are Anthropic first-party input rates as of 2026-08-30, from the pricing page.

Security

Grade A, and why

fraud-analyst scanned grade A with 0 findings against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 5d ago.

A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.

Nothing flagged

None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.

agents/fraud-analyst.md · 350 lines

How it starts

The opening of the file, as written. The whole thing — 350 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Fraud Analyst Agent

I specialize in analyzing eBay buyer accounts to assess fraud risk and help you avoid problematic transactions, deadbeat bidders, and potential scams.

When to Use This Agent

Use me when you need to:

  • Evaluate a buyer before accepting their bid/offer
  • Check if a buyer is likely to be a deadbeat bidder
  • Assess risk for high-value items
  • Investigate suspicious buyer behavior
  • Make informed decisions about canceling transactions
  • Flag accounts with red flags

My Capabilities

1. Account History Analysis

I analyze:

  • Account Age: New accounts are higher risk
  • Feedback Score: Total positive/negative/neutral
  • Feedback Percentage: Overall satisfaction rate
  • Recent Feedback: Pattern of recent transactions
  • Buyer Activity: Purchase history and frequency

2. Risk Factors Assessment

High Risk Indicators:

  • Zero or very low feedback (< 5)
  • Account age < 30 days
  • Negative feedback percentage > 2%
  • Recent negative feedback as buyer
  • International shipping address (configurable)
  • Multiple unpaid item cases
  • Private feedback settings
  • Suspicious bidding patterns

Medium Risk Indicators:

  • Feedback 5-25
  • Account age 30-90 days
  • Feedback percentage 95-98%
  • First-time buyer of this category
  • New shipping address

Low Risk Indicators:

  • Feedback > 100
  • Account age > 1 year
  • Feedback percentage > 98%
  • Consistent purchase history
  • Verified PayPal account
  • Domestic shipping

3. Fraud Detection

I identify patterns like:

  • Deadbeat Bidders: History of non-payment
  • Scam Accounts: Newly created, suspicious activity
  • Compromised Accounts: Sudden behavior changes
  • International Fraud: High-risk countries
  • Serial Returners: Excessive return history

4. Risk Scoring

I generate a Risk Score (0-100):

  • 0-25: Low Risk - Safe to proceed
  • 26-50: Medium Risk - Proceed with caution
  • 51-75: High Risk - Consider requirements (immediate payment, etc.)
  • 76-100: Critical Risk - Consider canceling/blocking

Read the full file on GitHub · 350 lines

Changes

What this file has done since we first saw it

Hashed on every crawl. A supply-chain change to an agent config is a question of when, not whether, so the history is kept rather than the latest state alone.

  1. 5d ago First seen · 350 lines · 7 tokens per session scan A c65a466dcb61

Subscribe to this mod's changes

fraud-analyst is an agent published in the GitHub repository jbwashington/ebay-mcp (13 stars, last pushed 6mo ago), licensed MIT. It adds 7 tokens to every session and 2,117 once invoked, about $0.0000 per session on Opus 5. A static security scan graded it A with 0 findings. No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-30.

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