Affiliate Program Search

What it does

When your agent uses it

• The user asks anything about finding affiliate programs
• Comparing commission rates
• Evaluating affiliate opportunities
• Searching for products to promote

Example prompts

• “which SaaS should I promote”
• “best affiliate programs for X”
• “high commission programs”
• “/affiliate-program-search”

Requirements

• Compatibility (from SKILL.md): Claude Code, ChatGPT, Gemini CLI, Cursor, Windsurf, OpenClaw, any AI agent

Workflow steps

5 steps, taken from the step headings in SKILL.md.

1. 1Understand What the User Wants
2. 2Search openaffiliate.dev
3. 3Score Programs
4. 4Present Recommendation
5. 5Self-Validation

What it can do on your machine

Read from SKILL.md and the folder at commit e43bfae. It shows what the files ask for, not the result of running them.

• Tool permissions

  Pre-approves nothing: there is no allowed-tools line, so your agent's usual permission prompts apply.

  From allowed-tools in the SKILL.md frontmatter.

• Runs code

  No scripts in the folder and no shell commands in SKILL.md (its code samples are yaml).

  From the folder's file list and the shell code blocks in SKILL.md.

• Network

  Hosts in commands or code, which the agent is likely to contact:

  • openaffiliate.dev

  From URLs in SKILL.md, links to its own repository left out.

• Credentials

  Names no API keys, tokens, secrets or passwords.

  From names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.

• Compatibility

  Claude Code, ChatGPT, Gemini CLI, Cursor, Windsurf, OpenClaw, any AI agent

  From compatibility in the SKILL.md frontmatter.

Context cost

Affiliate Program Search loads about 2.4k tokens when it runs, and up to ~5.4k if it reads all its reference files. Until then it costs about 160 tokens; SKILL.md has 703 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it

~160

When it runs · the whole SKILL.md, loaded when a task matches

~2.4k

With references · SKILL.md plus every file in references/, read only if the agent opens them

~5.4k

Estimates: characters ÷ 4, the usual rule of thumb; real counts depend on the model's tokenizer. Scripts and assets cost tokens only if the agent reads them.

Safety

Automated static check — not a guarantee. Review scripts before installing. It scans the text of SKILL.md for risky patterns (piping downloads into a shell, reading credential files, hidden Unicode, destructive commands); files beside SKILL.md are not scanned.

SKILL.md

The full file from Affitor/affiliate-skills at commit e43bfae, republished under its MIT licence (© Affitor). 703 words, ~2,387 tokens.

name

affiliate-program-search

description

Research and evaluate affiliate programs to find the best ones to promote. Use this skill when the user asks anything about finding affiliate programs, comparing commission rates, evaluating affiliate opportunities, searching for products to promote, picking a niche, or mentions openaffiliate.dev. Also trigger for: "which SaaS should I promote", "best affiliate programs for X", "high commission programs", "recurring commission affiliate", "compare these affiliate programs", "is X affiliate program worth it", "find me something to promote", "what pays the most", "affiliate programs with long cookie duration".

compatibility

Claude Code, ChatGPT, Gemini CLI, Cursor, Windsurf, OpenClaw, any AI agent

license

MIT

version

1.0.0

tags

affiliate-marketing, research, niche-analysis, program-discovery, saas, commission

metadata.author

affitor

metadata.version

1.0

metadata.stage

S1-Research

{
  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
}

{
  output_schema_version: "1.0.0"  # Semver — bump major on breaking changes
  recommended_program: {
    name: string              # "HeyGen"
    slug: string              # "heygen"
    reward_value: string      # "30%"
    reward_type: string       # "cps_recurring"
    reward_duration: string   # "12 months"
    cookie_days: number       # 60
    description: string       # Short product description
    tags: string[]            # ["ai", "video"]
    url: string               # Product website
  }
  score: {
    overall: number           # 8.2
    verdict: string           # "Strong Pick"
    reasoning: string         # Why this is the top pick
  }
  runner_up: Program | null   # Same structure, second choice
  all_scored: ProgramScore[]  # Full list of scored programs
}

## Programs Found

| Program | Commission | Type | Cookie | Stars | Score |
|---------|-----------|------|--------|-------|-------|
| HeyGen  | 30%       | Recurring | 60d | ⭐ 42 | 8.2/10 |
| ...     | ...       | ...  | ...    | ...   | .../10 |

## Top Pick: [Program Name]

**Why:** [2-3 sentences explaining why this is the best fit]

| Dimension | Score | Note |
|-----------|-------|------|
| Earning Potential | 8/10 | 30% recurring on $24-48/mo |
| Content Potential | 9/10 | Visual AI video, easy to demo |
| Market Demand | 8/10 | AI video trending, high search volume |
| Competition | 6/10 | Growing number of affiliates |
| Trust Factor | 8/10 | Strong brand, 42 stars on openaffiliate.dev |
| **Overall** | **8.2/10** | **Strong Pick** |

## Runner-up: [Program Name]

**Why:** [1-2 sentences]

## Next Steps

1. Sign up for [Program] affiliate program → [search for signup page]
2. Run `viral-post-writer` to create content for this product
3. Run `affiliate-blog-builder` to write a review post

chain_metadata:
  skill_slug: "affiliate-program-search"
  stage: "research"
  timestamp: string
  suggested_next:
    - "purple-cow-audit"
    - "viral-post-writer"
    - "landing-page-creator"
    - "grand-slam-offer"

© Affitor, MIT. Rendered from Markdown: HTML in the file is shown as text, images as links, and headings moved down two levels. Raw file

Files

SKILL.md and 5 other files (references) in skills/research/affiliate-program-search of Affitor/affiliate-skills.

• SKILL.md
• LICENSE.txt
• agents/openai.yaml
• references/openaffiliate-api.md
• references/platform-rules.md
• references/scoring-criteria.md

Open the folder on GitHubat commit e43bfae