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 dazz/kostja94-marketing-skills --skill creator-programgit clone --depth 1 https://github.com/dazz/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/dazz/kostja94-marketing-skills/creator-program)<a href="https://agentmods.dev/skills/dazz/kostja94-marketing-skills/creator-program"><img src="https://agentmods.dev/badge/skills/dazz/kostja94-marketing-skills/creator-program/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/dazz/kostja94-marketing-skills/creator-program"><img src="https://agentmods.dev/badge/skills/dazz/kostja94-marketing-skills/creator-program.svg" alt="Reviewed on agentmods" width="80" height="20"></a>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 | $0.00072 | $0.00949 |
| Opus 5 | $0.00036 | $0.00475 |
| Sonnet 5 | $0.00014 | $0.00190 |
| Haiku 4.5 | $0.00007 | $0.00095 |
Grade A, and why
creator-program 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.
This is a copy
100% identical to creator-program — 0 lines differ, which has more behind it and is treated as the original. This page carries a canonical link to it rather than competing with it.
How it starts
The opening of the file, as written. The whole thing — 93 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Channels: Creator Program
Guides creator program strategy for AI/SaaS products. Long-term partnerships with creators for content co-creation and brand building. Differs from affiliate (sales focus) and influencer (paid promotion focus).
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 content needs.
Identify:
- Product type: AI tool, design tool, CMS, marketplace
- Content need: Tutorials, templates, use cases
- Creator target: Followers, niche, content quality
Creator vs. Affiliate vs. Influencer
| Dimension | Creator Program | Affiliate | Influencer |
|---|---|---|---|
| Goal | Brand + content co-creation | Direct sales | Brand exposure |
| Incentive | Credits, free use, revenue share | Commission | Paid, product |
| Content | Must use product to create | Links | Influencer original |
| Relationship | Long-term | Transactional | Flexible |
Incentive Models
| Model | Use | Examples |
|---|---|---|
| Credits | AI tools; cost control | Credit-based AI tools |
| Payment | High-quality content; budget available | Paid creator programs |
| Hybrid | Credits + commission, brand partnership | Common for SaaS |
| Marketplace | Template/plugin sales; revenue share | Design tools, CMS marketplaces |
Implementation Phases
| Phase | Weeks | Tasks |
|---|---|---|
| Plan | 1–2 | Goals, incentives, application form, resources |
| Launch | 3–4 | Landing page, promotion, tracking |
| Recruit | 5–8 | Screen applications, outreach, onboarding |
| Co-create | 9–12 | Content publishing, support, promotion |
| Optimize | Ongoing | Metrics, feedback, incentive tweaks |
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 · 93 lines · 72 tokens per session scan A 063ff750d501
creator-program is a skill published in the GitHub repository dazz/kostja94-marketing-skills (2 stars, last pushed 2mo ago), licensed MIT. It adds 72 tokens to every session and 949 once invoked, about $0.0004 per session on Opus 5. A static security scan graded it A with 0 findings. It is 100% identical to creator-program, differing in 0 lines, and is treated as a copy.
Other skills, from other repositories
systematic-debugging
Use when encountering any bug, test failure, or unexpected behavior, before proposing fixes.
local-ai-agents
Build local-first AI agents that run entirely on a developer workstation with Microsoft Foundry Local and Qwen function-calling models. Covers Small Language Models (SLMs), the OpenAI-compatible local endpoint, sandboxed local tools, local RAG with Chroma, local MCP servers, hybrid cloud/local routing, and the…
next-cache-components-adoption
Turn on Cache Components in a Next.js app and resolve the blocking routes it surfaces. Use when the user wants to enable, adopt, or migrate to Cache Components, flip the cacheComponents flag, work through a flood of blocking-prerender / instant validation errors, run the cache-components-instant-false codemod, or…
insight-error-page
Write or audit an insight-kind error page for the Next.js dev overlay. Use when creating a new errors/ .mdx page, auditing an existing one, or checking that a page matches the framework fix cards. Covers page structure, title alignment, FixCard cards with Copy prompt button, code snippets, terminology verification…
next-cache-components-optimizer
Drive a Next.js route to instant navigation by setting up an agentic loop, under Cache Components / PPR, on initial load (hard navigation) and client-side navigation (soft navigation). Encode the goal as a failing @next/playwright instant() e2e and work it to green, one verified route at a time; the shipped test then…
next-partial-prefetching-adoption
Turn on Partial Prefetching in a Next.js app and work through the insights it surfaces. Use when the user wants to enable or adopt Partial Prefetching, flip the partialPrefetching flag, opt routes in with export const prefetch = 'partial', audit Link prefetch={true} behavior, preserve existing prefetched UI with…