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 kostja94/marketing-skills --skill affiliate-marketinggit clone --depth 1 https://github.com/kostja94/marketing-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/kostja94/marketing-skills/affiliate-marketing)<a href="https://agentmods.dev/skills/kostja94/marketing-skills/affiliate-marketing"><img src="https://agentmods.dev/badge/skills/kostja94/marketing-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.
<a href="https://agentmods.dev/skills/kostja94/marketing-skills/affiliate-marketing"><img src="https://agentmods.dev/badge/skills/kostja94/marketing-skills/affiliate-marketing.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- Socket pass
- Snyk pass
- NVIDIA SkillSpector warn
SkillSpector: 1 finding, up to medium
These are SkillSpector’s own severities. On a checked sample its high-severity flags on skills were ~96% false positives — a documented command, a public API, a “never do X” rule — so we show them as a caution to read, not a verdict. Why →
- medium Excessive Agency · line 85 Skill enables autonomous high-impact decisions without human-in-the-loop verification. Critical operations (destructive commands, financial transactions, data deletion) should require explicit user confirmation.Fix: Add human-in-the-loop confirmation for destructive, irreversible, or high-impact operations. Never auto-execute commands that modify files, send data, or alter system state.
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 | $0.00077 | $0.01366 |
| Opus 5 | $0.00039 | $0.00683 |
| Sonnet 5 | $0.00015 | $0.00273 |
| Haiku 4.5 | $0.00008 | $0.00137 |
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 12d 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
3 near-identical copies found in the catalogue:
- affiliate-marketing — 100% identical, 0 lines differ
- affiliate-marketing — 100% identical, 0 lines differ
- affiliate-marketing — 100% identical, 0 lines differ
How it starts
The opening of the file, as written. The whole thing — 115 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Channels: Affiliate
Guides affiliate marketing strategy for AI/SaaS products. Affiliate marketing uses a CPS (Cost Per Sale) model—pay only when sales occur. ROI typically 5:1 to 10:1; CAC 40%–50% lower than paid ads.
When invoking: On first use, if helpful, open with 1–2 sentences on what this skill covers and why it matters, then provide the main output. On subsequent use or when the user asks to skip, go directly to the main output.
Initial Assessment
Check for project context first: If .claude/project-context.md or .cursor/project-context.md exists, read it for product, audience, and positioning.
Identify:
- Product type: SaaS, AI tool, subscription
- Commission model: Pay-per-sale, pay-per-lead, pay-per-click
- Target affiliates: Content creators, publishers, coupon sites
Commission Models
| Model | Use | Typical Rate |
|---|---|---|
| Pay-per-sale | Most common; pay on conversion | 10%–20% |
| Pay-per-lead | Lead gen (signup, form fill) | $5–50/lead |
| Pay-per-click | Rare; risk of abuse | $0.01–10.50/click |
For SaaS: Prefer pay-per-sale or pay-per-lead. Recurring commissions for subscriptions.
Key Terms
| Term | Definition |
|---|---|
| Cookie duration | Attribution window (typically 30–90 days) |
| Recurring commission | Ongoing % from subscription renewals |
| Sub-affiliate | Affiliates who recruit other affiliates |
| Performance bonus | Extra reward when affiliate hits sales targets |
| Attribution | Linking sale to correct affiliate |
Promotion Channels
- Content creators: Bloggers, YouTubers, podcasters, social influencers
- Publishers: Media, niche sites, email newsletters
- Coupon/cashback: Price-sensitive users; see discount-marketing-strategy for code strategy
- Professional affiliates: Agencies managing multiple programs
- Communities: Facebook Groups, Discord, Reddit, forums
- Existing customers: Word-of-mouth via referral rewards
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.
- 12d ago First seen · 115 lines · 77 tokens per session scan A cbbc466a32f2
affiliate-marketing is a skill published in the GitHub repository kostja94/marketing-skills (967 stars, last pushed 3mo ago), licensed MIT. It adds 77 tokens to every session and 1,366 once invoked, about $0.0004 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.
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