referral-program SKILL.md skillA

referral-program from borghei/claude-skills is an agent skill: a SKILL.md folder an AI agent loads when a task calls for it.

Install it, pinned
mdr add borghei/claude-skills/referral-program@v1.1.0

Pins v1.1.0 in mdr.lock. Pin the fingerprint instead.

Audit grade
A, 17 of 17 checks passed
Kind
SKILL.md skill
Repository
borghei/claude-skills
Path
business-growth/referral-program/SKILL.md
Versions recorded
5
Latest version
v1.1.0, committed Jun 22, 2026
First version recorded
Mar 21, 2026
Size
7,138 bytes
Repository stars
954
License
a license file GitHub does not identify

Referral and affiliate program design covering referral loop architecture, incentive design, trigger moment optimization, viral coefficient modeling, affiliate program structure, and optimization playbook.

Collected from public GitHub. Every version is saved exactly as it was and never changes. Install it at an exact version with the mdr tool, and every file is checked before it reaches your agent. The main file is checked against the SHA-256 fingerprint recorded here, and the others against the fingerprints GitHub keeps for its source commit. The automatic checks below grade the latest version, and the same checks always give the same file the same grade.

What the file says

# Referral Program

Production-grade referral and affiliate program framework covering the 4-stage referral loop, incentive design methodology, trigger moment optimization, share mechanics, viral coefficient modeling, affiliate program architecture, and systematic optimization playbook. Designed to build programs that compound, not collect dust.

## Core Capabilities

- **Program type & loop design** — referral vs affiliate decision, plus the 4-stage loop (trigger → share → convert → reward)
- **Incentive design** — single- vs double-sided, reward types, tiered gamification, reward economics against LTV/CAC
- **Trigger & share mechanics** — in-product and email trigger points, share channel priority, first-person share copy
- **Referred-user experience** — referral landing page, attribution rules, program copy set (prompts, emails, dashboards)
- **Growth math** — K-factor modeling, revenue impact models, and lever-by-lever K improvement
- **Affiliate framework** — commission models, tier systems, partner toolkit, recruitment
- **Optimization** — diagnose-before-optimize playbook, metric benchmarks, troubleshooting, and three Python tools

## When to Use
…

Read the whole file at its exact version.

How to install

The exact contents, by fingerprint
mdr add borghei/claude-skills/referral-program@sha256:27b3658a0fd1663b

The line at the top of this page pins the label v1.1.0, which is what most people want. This one pins the sha256 fingerprint of the contents instead, so it survives a label being moved. Either way the exact version is written to mdr.lock, and mdr install downloads and checks those contents again, so it installs them exactly or stops with an error.

Badge

mdr badge

[![mdr](https://markdownregistry.com/badge/art_srm2l6lbsh52we4s.svg)](https://markdownregistry.com/a/art_srm2l6lbsh52we4s)

4 badge image fetches in 30 days. What the badge shows.

Versions

The registry has recorded 5 versions of this file, between Mar 21, 2026 and Jun 22, 2026, about one every 23 days.

versioncommittedcommitsizeaudit
v1.1.0 latest2026-06-22 65b93aa 7,138 BA view · diff
v1.1.02026-06-15 7a97fb6 6,345 BA view · diff
v1.0.02026-04-21 6b64585 26,969 BA view · diff
v1.0.02026-03-30 6b5a5d8 24,068 BA view · diff
v1.0.02026-03-21 f258c12 24,354 BA view

Audit of the latest version

A  17 of 17 checks passed. Fixed automatic checks with no AI involved, so the same checks give the same answer every run.
  • pass: Frontmatter block present
  • pass: Frontmatter declares a name
  • pass: Frontmatter declares a description
  • pass: Size between 200 bytes and 200 KB (7138 bytes)
  • pass: No zero-width or bidi control characters
  • pass: No instruction hidden inside an HTML comment
  • pass: No link to an exfiltration or paste host
  • pass: No credential-shaped string
  • pass: No instruction to send local credentials anywhere
  • pass: No text hidden with inline styles
  • pass: No prompt-injection phrasing
  • pass: No curl or wget piped into a shell
  • pass: No recursive delete of root, home or parent
  • pass: No instruction to read or print local credentials
  • pass: No base64 blob over 200 characters
  • pass: No link to a raw IP address
  • pass: No script tag

Source

GitHub

borghei/claude-skills · 954 stars · license a license file GitHub does not identify · pushed 2026-10-07 · branch main

API

GET https://markdownregistry.com/api/v1/artifacts/art_srm2l6lbsh52we4s
GET https://markdownregistry.com/api/v1/resolve?ref=borghei/claude-skills/referral-program
GET https://markdownregistry.com/api/v1/blob/27b3658a0fd1663b9fd3322fc2893d7caf83c0f029135c07d7a73b34fece190b

Your AI assistant does the legwork. You hear about the deals worth your word. Hand yours the standing instructions at modelranch.com and it joins the network that reads files like this one.

Guides: the SKILL.md format and its required fields · what to check before you install a skill · how to pin a skill to an exact version · where to find agent skills · keeping a team on the same skills · which agent file does what.

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