Skill profile

referral-program

When the user wants to design, launch, or optimize an in-app referral / invite / share-to-earn...

What this skill does for you

When the user wants to design, launch, or optimize an in-app referral / invite / share-to-earn program : including reward structure, mechanics, fraud prevention, deep link setup, and viral coefficient measurement. Use when the user mentions "referral program", "invite a friend", "refer and earn", "share to earn", "viral loop", "viral coefficient", "K-factor", "double-sided rewards", "give X get X", "referral rewards", "invite link", "share sheet", "Branch referrals", "in-app invites", or "how to make my app go viral". For deep link infrastructure that referrals depend on, see attribution-setup. For organic content-driven virality (UGC, creator), see creator-ugc-marketing.

Quoted from the skill description in the pinned source

Who made it

Publisherappeeky

Repositoryaso-skills

Installs1,500as 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-program skill from appeeky/aso-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.

Scanner	Date	Result
Edge static checks	2026-09-27	Pass
Cisco skill-scanner	2026-09-27	Pass
Semgrep Edge rules	2026-09-27	Pass

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: 4df730f456c21e42b9a2ea2be89fb32caf787728. 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: 4df730f456c21e42b9a2ea2be89fb32caf787728. Raw findings: 1. 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: 4df730f456c21e42b9a2ea2be89fb32caf787728. Raw findings: . Counted findings: .

Source and licence

Repository: https://github.com/appeeky/aso-skills
Pinned skill file: View source at revision
Revision: 4df730f456c21e42b9a2ea2be89fb32caf787728
Package hash: sha256:ec8dc13ff09da113cb80252ec2f03db691c7bd82f1253944a706c737eac0b1ab
Licence: MIT