vercel-labs/marketing-team-eve-template is a deployable team of AI marketing agents led by a coordinating agent that delegates launches, writing, and conversion work to specialists. Teams use it through Slack or a terminal to create blog drafts, social posts, and email campaigns in Notion, Typefully, and Resend, with approval required for irreversible actions. The catalogue skills and instructions define workflows for using this marketing team.
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 vercel-labs/marketing-team-eve-template --skill schemagit clone --depth 1 https://github.com/vercel-labs/marketing-team-eve-templateWrote 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/vercel-labs/marketing-team-eve-template/schema)<a href="https://agentmods.dev/skills/vercel-labs/marketing-team-eve-template/schema"><img src="https://agentmods.dev/badge/skills/vercel-labs/marketing-team-eve-template/schema/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/vercel-labs/marketing-team-eve-template/schema"><img src="https://agentmods.dev/badge/skills/vercel-labs/marketing-team-eve-template/schema.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 | $0.00041 | $0.00984 |
| Opus 5 | $0.00020 | $0.00492 |
| Sonnet 5 | $0.00008 | $0.00197 |
| Haiku 4.5 | $0.00004 | $0.00098 |
Grade A, and why
schema 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.
This is a copy
95% identical to schema — 6 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 — 55 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Schema markup
Structured data tells a search engine what a page is rather than making it rank. Done right it earns a richer result and makes the page easier for an engine to summarize. Done wrong it earns a manual action.
Four rules govern everything below:
- Mark up only what the page visibly shows. Schema describing content a reader can't see is a spam signal, and it's the single most common reason markup gets penalized rather than ignored.
- Use JSON-LD, in a
<script type="application/ld+json">in the head or at the end of the body. Google recommends it, and it's the only format you can add without touching the page's markup. - Only claim types and properties the engine actually supports for a rich result. Valid schema.org markup with no supported result does nothing for search, which is fine, but don't promise a rich result it can't produce.
- Validate before it ships, then watch Search Console. Markup that validates can still be wrong about the page.
Choosing the type
| Type | Use on | Required |
|---|---|---|
| Organization | Homepage, about page | name, url |
| WebSite | Homepage, to declare a site search | name, url |
| Article, BlogPosting | Posts and news | headline, image, datePublished, author |
| Product | Product pages | name, image, offers |
| SoftwareApplication | App and SaaS pages | name, offers |
| FAQPage | A page with real questions and answers | mainEntity |
| HowTo | Step-by-step instructions | name, step |
| BreadcrumbList | Any page with breadcrumbs | itemListElement |
| LocalBusiness | A location page | name, address |
| Event | Events and webinars | name, startDate, location |
references/schema-examples.md has a complete, valid block for each of these plus a combined @graph and a Next.js pattern. references/required-properties.json is the same table in the form validate_schema reads, so adding a type means editing both.
When a page needs several types, prefer one @graph array over several separate script tags: entities can then reference each other by @id instead of repeating themselves.
What ships with it
2 files 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.
- 12d ago First seen · 55 lines · 41 tokens per session scan A 07c8934b9c8a
schema is a skill published in the GitHub repository vercel-labs/marketing-team-eve-template (436 stars, last pushed 23d ago), licensed MIT. It adds 41 tokens to every session and 984 once invoked, about $0.0002 per session on Opus 5. A static security scan graded it A with 0 findings. It is 95% identical to schema, differing in 6 lines, and is treated as a copy.
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