referral-program

referral-program is a skill for Claude Code from ariadoss/superskills. It costs 86 tokens per session (1,418 once invoked), scanned A, a copy of referral-program, MIT.

A guide for encouraging existing users to recommend a product to other people.

In plain words
What is it for?
Use it to plan refer-a-friend campaigns, choose discounts or credits, set signup or purchase goals, and distinguish referrals from affiliate and influencer marketing.
Why use it?
It helps turn user recommendations into a structured program with clear rewards and referral tracking.

Skill for Claude Code

Written for Claude Code: shipped in a Claude Code plugin.

Part of the superskills plugin — 197 skills shipped together

Good fit Use it to plan refer-a-friend campaigns, choose discounts or credits, set signup…

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/ariadoss/superskills/referral-program
Install

Getting it into your agent

One page per mod, every tool's command on it. A separate URL per tool would split the same page into five that compete with each other.

Any agent
npx skills add ariadoss/superskills --skill referral-program
Clone the repo
git clone --depth 1 https://github.com/ariadoss/superskills

Made for: Claude Code.

Or install superskills, the plugin that ships this one along with the rest of its 197 skills.

Wrote this? Show the measurements

A badge with what this costs and how it scanned, read live from this page, so it follows the numbers instead of freezing them. Markdown for a README, HTML for a documentation site or a project page.

agentmods badge for referral-program

README.md
[![agentmods](https://agentmods.dev/badge/skills/ariadoss/superskills/referral-program.svg)](https://agentmods.dev/skills/ariadoss/superskills/referral-program)
Your own site
<a href="https://agentmods.dev/skills/ariadoss/superskills/referral-program"><img src="https://agentmods.dev/badge/skills/ariadoss/superskills/referral-program.svg" alt="Measured on agentmods" height="20"></a>
Per session 86 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 1,418 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. A grade says what 26 rules found in the file — not that it is safe.
Origin 100% copy Near-identical to another mod in the catalogue.
Token cost

What it costs to keep this loaded

Counted locally with the o200k_base tokenizer, which is exact for GPT models; Claude uses its own tokenizer and its counts differ. Treat this as one consistent yardstick across the catalogue rather than a bill. Prices are per million input tokens.

ModelPer sessionOnce invoked
Fable 5.1 $0.00086 $0.01418
Opus 5 $0.00043 $0.00709
Sonnet 5 $0.00017 $0.00284
Haiku 4.5 $0.00009 $0.00142

Measured 6d ago against content hash 87e1dbf08f75, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-06, from the pricing page.

Security

Grade A, and why

referral-program scanned grade A with 0 findings against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 6d ago.

A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.

Nothing flagged

None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.

Origin

This is a copy

100% identical to referral-program — 0 lines differ, which has more behind it and is treated as the original. This page carries a canonical link to it rather than competing with it.

marketing-skills/channels/partnerships/referral-program/SKILL.md · 131 lines

How it starts

The opening of the file, as written. The whole thing — 131 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Channels: Referral

Guides referral program strategy for AI/SaaS products. Leverage existing users to drive growth; 3%-5% conversion vs 1%-2% for ads; CAC 50%-70% lower; referred users LTV 30%-50% higher, retention 20%-30% higher. Referral is necessity in overseas markets, not alternative.

When invoking: On first use, if helpful, open with 1-2 sentences on what this skill covers and why it matters, then provide the main output. On subsequent use or when the user asks to skip, go directly to the main output.

Initial Assessment

Check for project context first: If .claude/project-context.md or .cursor/project-context.md exists, read it for product, audience, and value proposition.

Identify:

  1. Product type: SaaS, AI tool, subscription
  2. User base: Size, engagement, retention
  3. Goal: Signups, purchases, or both

Referral vs. Affiliate vs. Influencer

Dimension Referral Affiliate Influencer
Who Existing users Professional promoters KOLs
Incentive Discounts, credits Commission Fees, product
Barrier Low (all users) Medium High
Conversion 3%-5% Varies Varies

Referral vs affiliate: Referral needs no landing page or application; integrated in dashboard. Affiliate requires landing page and approval.

Reward Models

Model Use
Two-way Both referrer and referee get rewards; highest participation
One-way Only referrer rewarded; cost control
Tiered Rewards increase with referral count (e.g. $10 for 1-5, $15 for 6-10, $20 for 11+); incentivizes volume

Benchmark: Rewards typically 10%-30% of product price; ~11% off or ~$21 value; weak incentives = low participation. Triggers: signup, purchase, activation, or sustained use.

Mechanism Types

Type Use
Link-based Unique referral link; easy to implement; accurate tracking; share via email, social, SMS; works for web and app
Code-based Referral code (e.g. FRIEND20); memorable; offline events; mobile-friendly input
Social referral Share buttons (Facebook, X, LinkedIn); viral spread; friend trust; young users

Read the full file on GitHub · 131 lines

Changes

What this file has done since we first saw it

Hashed on every crawl. A supply-chain change to an agent config is a question of when, not whether, so the history is kept rather than the latest state alone.

  1. 6d ago First seen · 131 lines · 86 tokens per session scan A 87e1dbf08f75

Subscribe to this mod's changes

referral-program is a skill published in the GitHub repository ariadoss/superskills (9 stars, last pushed today), licensed MIT. It adds 86 tokens to every session and 1,418 once invoked, about $0.0004 per session on Opus 5. A static security scan graded it A with 0 findings. It is 100% identical to referral-program, differing in 0 lines, and is treated as a copy.

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