Affiliate Fraud Detection

by mbfinottiba2db8acbec9MIT1 starsListed Oct 8, 2026Updated Oct 8, 2026Repository updated 3 weeks ago

Build the detection rule set an affiliate program manager uses to flag fraudulent affiliate activity, plus the investigation and escalation path behind it - cookie stuffing, fake lead and form-fill fraud, self-referral rings, traffic-quality baselines, commission holds and clawbacks, and separating real fraud from legitimate low-incrementality coupon or cashback partners. Covers B2B SaaS lead-gen and B2C ecommerce programs. Use whenever the user mentions affiliate fraud, suspicious affiliate traffic, invalid clicks or leads, bot traffic, or an affiliate whose numbers look too good, even if they never say fraud. Do NOT use for consumer refer-a-friend gaming - use mbfinotti/partnerships-skills@referral-abuse-guardrails instead.

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npx @sourceweft/cli skills install gh-mbfinotti-partnerships-skills-affiliate-fraud-detection

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npx skills add https://github.com/mbfinotti/partnerships-skills/tree/ba2db8acbec9f1d3c7b5c4c5f7e18e68217620dc/skills/affiliate-fraud-detection

Source and attribution

Source:mbfinotti/partnerships-skillsinskills/affiliate-fraud-detectionat commitba2db8a

License: MIT

Content belongs to its original authors. SourceWeft indexes it from a public repository.

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