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.
npx skills add Affitor/affiliate-skills --skill commission-calculatorgit clone --depth 1 https://github.com/Affitor/affiliate-skillsWrote 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.
[](https://agentmods.dev/skills/affitor/affiliate-skills/commission-calculator)<a href="https://agentmods.dev/skills/affitor/affiliate-skills/commission-calculator"><img src="https://agentmods.dev/badge/skills/affitor/affiliate-skills/commission-calculator/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.
<a href="https://agentmods.dev/skills/affitor/affiliate-skills/commission-calculator"><img src="https://agentmods.dev/badge/skills/affitor/affiliate-skills/commission-calculator.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- NVIDIA SkillSpector pass
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 | $0.00112 | $0.03408 |
| Opus 5 | $0.00056 | $0.01704 |
| Sonnet 5 | $0.00022 | $0.00682 |
| Haiku 4.5 | $0.00011 | $0.00341 |
Grade A, and why
commission-calculator 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 11d 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.
Copies of this mod
2 near-identical copies found in the catalogue:
- commission-calculator — 100% identical, 0 lines differ
- commission-calculator — 91% identical, 8 lines differ
How it starts
The opening of the file, as written. The whole thing — 334 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Commission Calculator
Project realistic monthly affiliate earnings based on traffic estimates, platform conversion rates, and program commission structures. Helps affiliates decide which programs are worth their time before investing months of content creation.
Stage
This skill belongs to Stage S1: Research
When to Use
- User wants to project income before choosing a program
- User wants to compare the earnings potential of 2+ programs
- User is setting income goals and needs realistic benchmarks
- User is deciding whether a niche is worth entering based on earning potential
- User asks "how many page views / subscribers / followers do I need to make X"
Input Schema
{
programs: [
{
name: string # (required) "HeyGen"
reward_value: string # (required) "30%" or "$50"
reward_type: string # (required) "cps_recurring" | "cps_one_time" | "cpl" | "cpa"
reward_duration: string # (optional) "12 months" | "lifetime" | "first purchase"
cookie_days: number # (optional, default: 30) 30
avg_product_price: number # (optional) Monthly plan price in USD. Needed for % commissions
}
]
traffic: {
monthly_visitors: number # (optional) Estimated monthly website visitors or video views
email_subscribers: number # (optional) Email list size
social_followers: number # (optional) Followers on primary platform
}
platform: string # (optional) "blog" | "youtube" | "tiktok" | "email" | "twitter"
scenario: string # (optional, default: "realistic") "conservative" | "realistic" | "optimistic"
goal: string # (optional) Target income, e.g., "$500/mo" or "$1000/mo"
time_horizon: string # (optional, default: "90 days") "30 days" | "90 days" | "12 months"
}
Workflow
Step 1: Gather Program Details
If program details are missing, pull from openaffiliate.dev (see references/openaffiliate-api.md in affiliate-program-search).
Key fields to extract: reward_value, reward_type, cookie_days.
What ships with it
1 file 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.
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.
- 11d ago First seen · 334 lines · 112 tokens per session scan A b8c7603f81ff
commission-calculator is a skill published in the GitHub repository Affitor/affiliate-skills (656 stars, last pushed 5d ago), licensed MIT. It adds 112 tokens to every session and 3,408 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.
Other skills, from other repositories
commission-calculator
Calculate realistic affiliate earnings projections before committing to a program. Use this skill when the user asks about affiliate earnings, projecting income, calculating commissions, estimating how much they can make, comparing program payouts, or says "how much can I make promoting X", "calculate my affiliate…
commission-calculator
Calculate realistic affiliate earnings projections before committing to a program. Use this skill when the user asks about affiliate earnings, projecting income, calculating commissions, estimating how much they can make, comparing program payouts, or says "how much can I make promoting X", "calculate my affiliate…
affiliate-program-search
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 list.affitor.com. Also trigger for…
affiliate-program-search
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…
niche-opportunity-finder
Find untapped affiliate niches with real earning potential. Use this skill when the user asks about picking a niche, finding a niche to start affiliate marketing, what niche to get into, niche research, niche ideas, beginner niche selection, low competition niches, profitable niches, or says "I don't know what to…
purple-cow-audit
Score product remarkability 1-10 to decide if it's worth promoting. Seth Godin's Purple Cow test. Triggers on: "is this product worth promoting", "should I promote", "product audit", "purple cow", "remarkable product", "is it remarkable", "rate this product", "product quality check", "worth my reputation", "product…