Marketing Skills is an open-source library of reusable workflows that helps AI coding agents perform marketing and SEO tasks. It serves people working on search optimization, content, advertising, launches, analytics, and related marketing activities, and its catalogue entries are the individual skills agents can install.
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 privacygit 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/privacy)<a href="https://agentmods.dev/skills/kostja94/marketing-skills/privacy"><img src="https://agentmods.dev/badge/skills/kostja94/marketing-skills/privacy/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/privacy"><img src="https://agentmods.dev/badge/skills/kostja94/marketing-skills/privacy.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 | $0.00035 | $0.00175 |
| Opus 5.5 | $0.00014 | $0.00070 |
| Sonnet 5.5 | $0.00007 | $0.00035 |
| Haiku 4.5 | $0.00003 | $0.00017 |
Grade A, and why
privacy-page-generator 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 1mo 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:
- privacy-page-generator — 100% identical, 242 lines differ
- privacy-page-generator — 100% identical, 242 lines differ
What it actually says
Privacy Policy Page construction has moved
Privacy Policy Page construction is now maintained in the Privacy Policy Page reference in Pagina, the page intelligence layer for AI agents.
npx skills add kostja94/pagina --skill page-builder
Ask the agent to use page-builder to build a new Privacy Policy Page. This compatibility entry contains no page rules and is no longer maintained.
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.
- 1mo ago Changed · -224 lines · -38 tokens per session 2488f01e1cae
- 1mo ago First seen · 242 lines · 73 tokens per session scan A c646d631e76b
privacy-page-generator is a skill published in the GitHub repository kostja94/marketing-skills (1,065 stars, last pushed yesterday), licensed MIT. It adds 35 tokens to every session and 175 once invoked, about $0.0001 per session on Opus 5.5. 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 2026-09-03.
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