claude

fraud-detection

Fraud detection: signal design, rule engines, ML scoring, velocity and device features, threshold calibration against false positives, 3DS step-up, and chargeback dispute defense.

1 on GitHubby Diego Bodartv1.0.0MITupdated 1 month ago
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Plugin fraud-detection from marketplace libre-fintech in HermeticOrmus/LibreFinTech-Claude-Code. Commands read from the repo's manifest — 1 month ago.

What it installs

Skills (1)

  • fraud-detection

    Fraud detection library: a signal strength matrix, rule patterns, threshold calibration, provider comparison, a dispute evidence checklist, common mistakes, and code for Redis velocity features, impossible travel, explainable rule engines, and model feedback loops. Use when building or tuning fraud

Slash commands (1)

  • /fraud-detection:fraud-detect

    Design fraud detection for a business model, or score transactions, explain a score, tune rules, and report fraud metrics.

Subagents (1)

  • fraud-analyst

    Use this agent when designing or tuning fraud detection for payments or signups: choosing signals, writing rules, adding ML scoring, calibrating thresholds against false positives, using 3DS as step-up, or building chargeback dispute defense. It measures both false-positive and false-negative rates

View source on GitHub

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