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 masonrygit 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/masonry)<a href="https://agentmods.dev/skills/kostja94/marketing-skills/masonry"><img src="https://agentmods.dev/badge/skills/kostja94/marketing-skills/masonry/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/masonry"><img src="https://agentmods.dev/badge/skills/kostja94/marketing-skills/masonry.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- Socket pass
- Snyk pass
- 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 | $0.00032 | $0.00167 |
| Opus 5.5 | $0.00013 | $0.00067 |
| Sonnet 5.5 | $0.00006 | $0.00033 |
| Haiku 4.5 | $0.00003 | $0.00017 |
Grade A, and why
masonry 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.
What it actually says
Masonry construction has moved
Masonry construction is now maintained in the Masonry reference in Bricks, the component layer for AI agents.
npx skills add kostja94/bricks --skill component-builder
Ask the agent to use component-builder to build a new Masonry. This compatibility entry contains no component 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 · -71 lines · -49 tokens per session 96519db07f90
- 1mo ago First seen · 89 lines · 81 tokens per session scan A 55ad97adae94
masonry is a skill published in the GitHub repository kostja94/marketing-skills (1,064 stars, last pushed yesterday), licensed MIT. It adds 32 tokens to every session and 167 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 2026-08-30.
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