affiliate-program-search

affiliate-program-search is a skill for Claude Code, Codex from Affitor/affiliate-skills. It costs 119 tokens per session (2,342 once invoked), scanned A, original, MIT.

A research tool for finding and comparing affiliate programs, which pay publishers for referring customers. It uses the public openaffiliate.dev directory without requiring an API key.

In plain words
What is it for?
Use it to find programs by niche, compare specific programs, and evaluate opportunities based on commission preferences, audience, and promotion platform.
Why use it?
It reduces the effort of searching across individual program pages and comparing details such as commissions and cookie duration, the period when a referral can earn credit.

Skill for Claude CodeCodex

Written for Claude Code and Codex: shipped in a Claude Code plugin, but also agents/openai.yaml present. Also seen: mentions Claude Code; built for openclaw; mentions Gemini CLI.

Part of the research-skills plugin — 4 skills shipped together

Good fit Use it to find programs by niche, compare specific programs, and evaluate opportunities based on commission preferences, audience, and promotion platform.

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

Made for: Claude Code, Codex.

Or install research-skills, the plugin that ships this one along with the rest of its 4 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 affiliate-program-search

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

Your own site · 80×15
<a href="https://agentmods.dev/skills/affitor/affiliate-skills/affiliate-program-search"><img src="https://agentmods.dev/badge/skills/affitor/affiliate-skills/affiliate-program-search.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 119 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 2,342 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
  • 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 $0.00119 $0.02342
Opus 5 $0.00060 $0.01171
Sonnet 5 $0.00024 $0.00468
Haiku 4.5 $0.00012 $0.00234

Measured 2d ago against content hash 56de47e17de2, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-08, from the pricing page.

Security

Grade A, and why

affiliate-program-search 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 2d 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/research/affiliate-program-search/SKILL.md · 231 lines

How it starts

The opening of the file, as written. The whole thing — 231 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Help affiliate marketers research, evaluate, and pick winning programs to promote. Data source: openaffiliate.dev — open affiliate program directory. Public API, no key required.

Stage

This skill belongs to Stage S1: Research

When to Use

  • User wants to find affiliate programs to promote
  • User wants to compare two or more affiliate programs
  • User asks about commission rates, cookie duration, or earning potential
  • User mentions openaffiliate.dev
  • User is new to affiliate marketing and needs a starting point

Input Schema

{
  niche: string             # (optional, default: "AI/SaaS tools") Category or niche interest
  commission_pref: string   # (optional, default: "recurring, 20%+") Commission preference
  audience: string          # (optional, default: "content creators") Target audience type
  platform: string          # (optional, default: "any") Platform they'll promote on
  compare: string[]         # (optional) Specific programs to compare head-to-head
}

Workflow

Step 1: Understand What the User Wants

Ask (if not clear from context):

  • Niche/category interest? (AI tools, SEO, video, writing, automation...)
  • Commission preference? (recurring vs one-time, minimum %)
  • Audience type? (developers, marketers, beginners, enterprise...)
  • Platform they'll promote on? (blog, LinkedIn, YouTube, X...)

If user says "just find me something good" → default to: AI/SaaS tools, recurring commission, 20%+, content creator audience.

Step 2: Search openaffiliate.dev

See references/openaffiliate-api.md for integration methods.

Two methods available:

  • API (preferred): GET https://openaffiliate.dev/api/programs?q=<term>&utm_source=affiliate-skills — public, no auth needed, structured data
  • Web fetch (fallback): web_search "site:openaffiliate.dev [category]" then web_fetch the page

Extract for each program: name, reward_value, reward_type, cookie_days, stars_count, tags, description.

Read the full file on GitHub · 231 lines

Files

What ships with it

5 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.

  1. 2d ago Changed 56de47e17de2
  2. 9d ago First seen · 231 lines · 119 tokens per session scan A 1419f23ef376

Subscribe to this mod's changes

affiliate-program-search is a skill published in the GitHub repository Affitor/affiliate-skills (652 stars, last pushed 3d ago), licensed MIT. It adds 119 tokens to every session and 2,342 once invoked, about $0.0006 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

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affiliate-program-search

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