affiliate-marketing

affiliate-marketing is a skill for Claude Code, Codex from OpenClaudia/openclaudia-skills. It costs 61 tokens per session (2,033 once invoked), scanned A, original, MIT.

A set of instructions for creating and managing an affiliate marketing program, where outside partners refer customers in exchange for commissions. It covers commission structures, partner recruitment, tracking, and program growth.

In plain words
What is it for?
Use it to design referral programs, choose commission models, set partner rates, plan affiliate recruitment, and manage referral tracking.
Why use it?
It helps turn partner referrals into a defined process instead of handling commissions and conversions informally. It also provides rate examples for different business models.

Skill for Claude CodeCodex

Written for no agent in particular: nothing here depends on one. Also seen: positional $N argument.

Good fit Use it to design referral programs, choose commission models, set partner rates, plan affiliate recruitment, and manage referral tracking.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/openclaudia/openclaudia-skills/affiliate-marketing
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 OpenClaudia/openclaudia-skills --skill affiliate-marketing
Clone the repo
git clone --depth 1 https://github.com/OpenClaudia/openclaudia-skills

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.

agentmods badge for affiliate-marketing

README.md
[![agentmods](https://agentmods.dev/badge/skills/openclaudia/openclaudia-skills/affiliate-marketing/github.svg)](https://agentmods.dev/skills/openclaudia/openclaudia-skills/affiliate-marketing)
Your own site
<a href="https://agentmods.dev/skills/openclaudia/openclaudia-skills/affiliate-marketing"><img src="https://agentmods.dev/badge/skills/openclaudia/openclaudia-skills/affiliate-marketing/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.

agentmods 80×15 button for affiliate-marketing

Your own site · 80×15
<a href="https://agentmods.dev/skills/openclaudia/openclaudia-skills/affiliate-marketing"><img src="https://agentmods.dev/badge/skills/openclaudia/openclaudia-skills/affiliate-marketing.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 61 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 2,033 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. Third-party audits
  • Socket pass 18 Mar 2026
  • Snyk pass 16 Feb 2026
  • NVIDIA SkillSpector pass 7 Sept 2026
How audits are shown
Origin original No closer match found 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 $0.00061 $0.02033
Opus 5 $0.00030 $0.01017
Sonnet 5 $0.00012 $0.00407
Haiku 4.5 $0.00006 $0.00203

Measured 13d ago against content hash b82fa55f1936, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-12, from the pricing page.

Security

Grade A, and why

affiliate-marketing 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 13d 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

Copies of this mod

1 near-identical copy found in the catalogue:

skills/affiliate-marketing/SKILL.md · 248 lines

How it starts

The opening of the file, as written. The whole thing — 248 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Affiliate Marketing Skill

You are an affiliate marketing strategist. Help build, launch, and optimize affiliate programs that drive revenue through partner referrals.

Affiliate Program Design

Commission Models

Model How It Works Best For Typical Rate
Revenue share % of each sale SaaS, subscriptions 15-30% recurring
Flat fee per sale Fixed $ per conversion E-commerce, one-time purchases $5-$200
Tiered commission Higher % at higher volumes Motivating top affiliates 15-40% scaling
CPA (Cost per Action) Fixed $ per lead/trial Lead gen, freemium $5-$100
Hybrid Base + bonus Complex products Varies

Commission Rate Benchmarks

Industry Typical Rate Top Programs
SaaS (B2B) 20-30% recurring Some offer 40-50% first year
SaaS (B2C) 15-25% recurring 30% for annual plans
E-commerce 5-15% per sale Up to 20% for high-margin products
Online courses 30-50% per sale Up to 75% for affiliates with large audiences
Financial services $50-$200 per lead Higher for premium products
Hosting/domains $50-$200 per sale Flat fee common

Cookie Duration

How long after clicking an affiliate link is the referral tracked?

Duration Use Case
24 hours Amazon (low, but high volume)
30 days Standard for most programs
60-90 days B2B with longer sales cycles
365 days High-value products, generous programs
Lifetime First-click attribution (rare, very attractive to affiliates)

Recommendation: 60-90 days for B2B SaaS, 30 days for B2C/e-commerce.

Program Setup

Platform Options

Platform Best For Pricing
PartnerStack B2B SaaS $$$, enterprise
FirstPromoter SaaS startups $49-$149/mo
Rewardful Stripe-based SaaS $49-$299/mo
ShareASale E-commerce Setup + transaction fees
Impact Enterprise Custom pricing
Post Affiliate Pro Self-hosted $129-$599/mo
Tapfiliate SaaS/e-commerce $89-$149/mo
Custom built Full control Dev time + maintenance

Read the full file on GitHub · 248 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. 13d ago First seen · 248 lines · 61 tokens per session scan A b82fa55f1936

Subscribe to this mod's changes

affiliate-marketing is a skill published in the GitHub repository OpenClaudia/openclaudia-skills (689 stars, last pushed yesterday), licensed MIT. It adds 61 tokens to every session and 2,033 once invoked, about $0.0003 per session on Opus 5. A static security scan graded it A with 0 findings. No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-30.

Related

Other skills, from other repositories

systematic-debugging

Use when encountering any bug, test failure, or unexpected behavior, before proposing fixes.

obra/superpowers · 21 tokens

local-ai-agents

Build local-first AI agents that run entirely on a developer workstation with Microsoft Foundry Local and Qwen function-calling models. Covers Small Language Models (SLMs), the OpenAI-compatible local endpoint, sandboxed local tools, local RAG with Chroma, local MCP servers, hybrid cloud/local routing, and the…

microsoft/ai-agents-for-beginners · 200 tokens

next-cache-components-adoption

Turn on Cache Components in a Next.js app and resolve the blocking routes it surfaces. Use when the user wants to enable, adopt, or migrate to Cache Components, flip the cacheComponents flag, work through a flood of blocking-prerender / instant validation errors, run the cache-components-instant-false codemod, or…

vercel/next.js · 95 tokens

chat-pet-sprite-creation

Use when creating or changing VS Code chat pet sprite art, sprite sheets, state animations, eye treatments, Stable/Insiders variants, or pet transitions under src/vs/workbench/contrib/chat/browser/widget/media/chatPet.

microsoft/vscode · 53 tokens

cpu-profile-analysis

Analyze V8/Chrome CPU profiles (.cpuprofile) and DevTools trace files (Trace-.json). Use when: profiling performance, investigating slow functions, comparing code paths, finding bottlenecks, analyzing timeToRequest, understanding call trees from sampling profiler data, analyzing layout/paint/rendering, investigating…

microsoft/vscode · 71 tokens

insight-error-page

Write or audit an insight-kind error page for the Next.js dev overlay. Use when creating a new errors/ .mdx page, auditing an existing one, or checking that a page matches the framework fix cards. Covers page structure, title alignment, FixCard cards with Copy prompt button, code snippets, terminology verification…

vercel/next.js · 83 tokens