部署与运维

referral-abuse-guardrails

mbfinotti/partn…s-skills

Define the operational guardrails that stop end customers from gaming a refer-a-friend program - reward caps, velocity limits and cooldowns, reward-hold windows tied to the refund window, eligibility rules, identity-verification gates, a published enforcement ladder, and abuse-monitoring signals. Produces a guardrail spec for B2C and B2B SaaS referral program managers. Use whenever the user mentions referral abuse, self-referral, fake accounts claiming referral rewards, referral rings, or a referral code leaking to coupon forums, even if they never say abuse. Do NOT use for professional-affiliate traffic fraud - use mbfinotti/partnerships-skills@affiliate-fraud-detection instead.

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安装命令

npx skills add https://github.com/mbfinotti/partnerships-skills --skill referral-abuse-guardrails

SKILL.md

Referral Abuse Guardrails

Define the guardrails that stop end customers from gaming a customer refer-a-friend program, and deliver them as a guardrail spec: rules with thresholds, verification gates, a reward-hold policy, an enforcement ladder, and monitoring signals. This skill protects whatever reward structure already exists - it never redesigns it.

No ratified standard covers consumer referral abuse. Borrow exactly four things, nothing more, and only as a mental model, never as a compliance claim:

  • GIVT/SIVT shape (ad-measurement standards): a cheap deterministic tier plus an expensive corroborative tier.
  • OWASP OAT-019 Account Creation: the automated slice only.
  • Trust-and-safety enforcement-ladder principles: proportionality, consistency, transparency, for the enforcement section.
  • Sybil-attack result, as the strategic frame: fake identities can never be fully detected without a central identity authority, so every guardrail is really a cost imposed on the abuser.

The goal is making abuse unprofitable, not catching everything.

Ground Rules