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 competitor-spygit 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/competitor-spy)<a href="https://agentmods.dev/skills/affitor/affiliate-skills/competitor-spy"><img src="https://agentmods.dev/badge/skills/affitor/affiliate-skills/competitor-spy/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/competitor-spy"><img src="https://agentmods.dev/badge/skills/affitor/affiliate-skills/competitor-spy.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 | $0.00119 | $0.03493 |
| Opus 5 | $0.00060 | $0.01747 |
| Sonnet 5 | $0.00024 | $0.00699 |
| Haiku 4.5 | $0.00012 | $0.00349 |
Grade A, and why
competitor-spy 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 10d 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:
- competitor-spy — 100% identical, 0 lines differ
- competitor-spy — 89% identical, 54 lines differ
How it starts
The opening of the file, as written. The whole thing — 343 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Competitor Spy
Analyze competitor affiliate sites, YouTube channels, and social profiles to surface which programs they promote, what content drives their traffic, and which strategies are worth replicating. Outputs an actionable reverse-engineering report so you can skip years of trial and error.
Stage
This skill belongs to Stage S1: Research
When to Use
- User wants to know what programs are working in a specific niche
- User has a competitor site/channel in mind and wants to understand their strategy
- User is entering a new niche and wants a shortcut to what works
- User wants to find underserved content gaps a competitor hasn't covered
- User asks "how do top affiliates in [niche] make money?"
Input Schema
{
competitor_url: string # (optional) Direct URL to competitor site, channel, or profile
niche: string # (optional) Niche to analyze if no specific competitor given
platform: string # (optional) "blog" | "youtube" | "tiktok" | "twitter" | "newsletter"
depth: string # (optional, default: "standard") "quick" | "standard" | "deep"
focus: string # (optional) "programs" | "content" | "traffic" | "all"
}
Workflow
Step 1: Identify Competitors to Analyze
If competitor_url is provided, skip to Step 2.
If only niche is provided, find 3-5 top competitors:
web_search "best [niche] affiliate sites"— look for review/comparison sitesweb_search "[niche] review site affiliate"— find review-first monetization modelsweb_search "[niche] blog affiliate income report"— income reports reveal programs- Note: YouTube —
web_search "youtube [niche] affiliate site:youtube.com"to find channels
Pick 3 competitors that are clearly affiliate-driven (review pages, comparison tables, "best X" content, Amazon links, affiliate disclaimers visible).
Step 2: Identify Affiliate Programs They Promote
For each competitor site/channel:
Method A — Link analysis:
web_fetch [competitor_url]and scan for outbound links- Look for:
?ref=,?via=,/go/,aff_id=,?affiliate=,shareasale.com,impact.com,partnerstack.com,awin.com,cj.com,linktr.ee - These patterns indicate affiliate links
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.
- 10d ago First seen · 343 lines · 119 tokens per session scan A ae854372edef
competitor-spy is a skill published in the GitHub repository Affitor/affiliate-skills (654 stars, last pushed 4d ago), licensed MIT. It adds 119 tokens to every session and 3,493 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
competitor-spy
Reverse-engineer successful affiliate strategies from competitors. Use this skill when the user asks about spying on competitors, researching what other affiliates promote, analyzing competitor affiliate sites, understanding how top affiliates in a niche make money, or says "what programs does X promote", "how does…
competitor-spy
Reverse-engineer successful affiliate strategies from competitors. Use this skill when the user asks about spying on competitors, researching what other affiliates promote, analyzing competitor affiliate sites, understanding how top affiliates in a niche make money, or says "what programs does X promote", "how does…
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…
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…
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…
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…