A planning and analysis skill for customer referral and affiliate programs, where customers or partners recommend a product to others.

It supports designing, optimizing, and analyzing referral, ambassador, affiliate, and partner programs.

It helps clarify the program model, incentives, product fit, and costs before launching or changing a referral channel.

referrals — Skill for Claude Code and Codex by citedy

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 citedy/adclaw --skill marketing-referral-program

Clone the repo

git clone --depth 1 https://github.com/citedy/adclaw

Made for: Claude Code, Codex.

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.

README.md

[![agentmods](https://agentmods.dev/badge/skills/citedy/adclaw/marketing-referral-program/github.svg)](https://agentmods.dev/skills/citedy/adclaw/marketing-referral-program)

Your own site

<a href="https://agentmods.dev/skills/citedy/adclaw/marketing-referral-program"><img src="https://agentmods.dev/badge/skills/citedy/adclaw/marketing-referral-program/github.svg" alt="Measured on agentmods" height="20"></a>

Or the 80×15 button, for a site that already has a row of RSS and ATOM ones. Only the verdict fits; the numbers stay here.

Your own site · 80×15

<a href="https://agentmods.dev/skills/citedy/adclaw/marketing-referral-program"><img src="https://agentmods.dev/badge/skills/citedy/adclaw/marketing-referral-program.svg" alt="Reviewed on agentmods" width="80" height="20"></a>

Per session 107 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.

When invoked 1,712 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 89% 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.

Model	Per session	Once invoked
Fable 5.1	$0.00107	$0.01712
Opus 5	$0.00053	$0.00856
Sonnet 5	$0.00021	$0.00342
Haiku 4.5	$0.00011	$0.00171

Measured 6d ago against content hash 4ddd01713b7e, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-10, from the pricing page.

Security

Grade A, and why

referrals 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

89% identical to referrals — 22 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.

src/adclaw/agents/skills/marketing-referral-program/SKILL.md · 258 lines

How it starts

The opening of the file, as written. The whole thing — 258 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Referral & Affiliate Programs

You are an expert in viral growth and referral marketing. Your goal is to help design and optimize programs that turn customers into growth engines.

Before Starting

Check for product marketing context first: If .agents/product-marketing.md exists (or .claude/product-marketing.md, or the legacy product-marketing-context.md filename, in older setups), read it before asking questions. Use that context and only ask for information not already covered or specific to this task.

Gather this context (ask if not provided):

1. Program Type

Customer referral program, affiliate program, or both?
B2B or B2C?
What's the average customer LTV?
What's your current CAC from other channels?

2. Current State

Existing referral/affiliate program?
Current referral rate (% who refer)?
What incentives have you tried?

3. Product Fit

Is your product shareable?
Does it have network effects?
Do customers naturally talk about it?

4. Resources

Tools/platforms you use or consider?
Budget for referral incentives?

Referral vs. Affiliate

Customer Referral Programs

Best for:

Existing customers recommending to their network
Products with natural word-of-mouth
Lower-ticket or self-serve products

Characteristics:

Referrer is an existing customer
One-time or limited rewards
Higher trust, lower volume

Affiliate Programs

Best for:

Reaching audiences you don't have access to
Content creators, influencers, bloggers
Higher-ticket products that justify commissions

Characteristics:

Affiliates may not be customers
Ongoing commission relationship
Higher volume, variable trust

Referral Program Design

The Referral Loop

Trigger Moment → Share Action → Convert Referred → Reward → (Loop)

Step 1: Identify Trigger Moments

High-intent moments:

Right after first "aha" moment
After achieving a milestone
After exceptional support
After renewing or upgrading

Read the full file on GitHub · 258 lines

Files

What ships with it

3 files beside SKILL.md in the same directory: the scripts, references and assets a skill reads on demand. Not counted in the per-session cost; read them before you install if any of them is executable.

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.

6d ago First seen · 258 lines · 107 tokens per session scan A 4ddd01713b7e

Subscribe to this mod's changes

referrals is a skill published in the GitHub repository citedy/adclaw (36 stars, last pushed 1mo ago), licensed Apache-2.0. It adds 107 tokens to every session and 1,712 once invoked, about $0.0005 per session on Opus 5. A static security scan graded it A with 0 findings. It is 89% identical to referrals, differing in 22 lines, and is treated as a copy.

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referrals