fraud-detection | referral-program-orchestration | ClaudePluginHub

Skill

Community

fraud-detection

From referral-program-orchestration

31

Description

Use to monitor, investigate, and prevent abuse within referral programs.

Install

1

Add the repository(one-time)

$

/plugin marketplace add gtmagents/gtm-agents

2

Install the plugin

$

/plugin install referral-program-orchestration@gtm-agents

Tool Access

This skill inherits all available tools. When active, it can use any tool Claude has access to.

Skill Content

Referral Fraud Detection Skill

When to Use

Designing safeguards for new referral initiatives.
Investigating suspicious referral spikes, duplicate accounts, or payout anomalies.
Reporting on program integrity for finance, legal, or compliance teams.

Framework

Signal Collection – IP/device matching, velocity checks, blacklist databases, manual reviews.
Scoring Model – assign risk scores by cohort (new accounts, high-volume referrers, geo mismatch).
Workflow Automation – auto-flag, queue for review, or pause rewards until verified.
Investigation Runbook – define evidence gathering, communication templates, and resolution paths.
Feedback Loop – update heuristics, adjust incentives, and communicate policy changes.

Templates

Fraud monitoring dashboard outline (metrics, thresholds, owners).
Investigation log (case ID, referrer, signals, action taken, notes).
Policy update checklist (legal, comms, ops, partner notifications).

Tips

Combine automated checks with random manual audits for accuracy.
Align with legal/finance on clawback procedures before launch.
Share learnings with incentive-design to discourage risky behavior.

Links

GitHub Stats

7 forks

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