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Skill evidence / referral-abuse-guardrails
Skill profile

referral-abuse-guardrails

Define the operational guardrails that stop end customers from gaming a refer-a-friend program -...

What this skill does for you

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.

Quoted from the skill description in the pinned source

Who made it

Publishermbfinotti
Installs601as of Sep 27, 2026

Use it with Edge

Set up Edge for me: read getedge.cc/SKILL.md and follow it. Then use Edge to load the referral-abuse-guardrails skill from mbfinotti/partnerships-skills.

Paste it into Claude, ChatGPT, Codex or Cursor.

Or read the skill source first.

Security evidence

Security state at 2026-09-30: reviewed. State definitions. This records static evidence for this revision; live load eligibility is checked again.

3 static scans, 0 counted findings. The listed scanners recorded the results shown for this package revision.

ScannerDateResultFindings
Edge static checks2026-09-27Pass0
Cisco skill-scanner2026-09-27Pass0
Semgrep Edge rules2026-09-27Pass0

Static scans check the code, not how well the skill works.

Scanner scope, raw findings and mirrored provider records

Edge static checks (Edge-run): edge-static/1.0.1. Scope: Static patterns for remote execution, credentials with network sends, obfuscation, prompt overrides, hidden Unicode, binaries and persistence. Revision: ba2db8acbec9f1d3c7b5c4c5f7e18e68217620dc. Raw findings: . Counted findings: .

Cisco skill-scanner (Edge-run): cisco-skill-scanner/2.1.0. Scope: Local static, YARA, pipeline and behavioral analyzers; no LLM or AI Defense analysis. Revision: ba2db8acbec9f1d3c7b5c4c5f7e18e68217620dc. Raw findings: . Counted findings: .

Semgrep Edge rules (Edge-run): semgrep/1.178.0+edge-rules.c15016a36fd3+offline-v1. Scope: Six Edge-authored static rules with Semgrep CE; offline execution and metrics disabled. Semgrep-maintained rules excluded. Revision: ba2db8acbec9f1d3c7b5c4c5f7e18e68217620dc. Raw findings: . Counted findings: .

Source and licence

Repository
https://github.com/mbfinotti/partnerships-skills
Pinned skill file
View source at revision
Revision
ba2db8acbec9f1d3c7b5c4c5f7e18e68217620dc
Package hash
sha256:3dc7ef00d2b176fc0b0f3b745e9f15ca89fa5e92d48fd000ba5c134444dd61e8
Licence
MIT