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 wildcard/caro --skill ai-marketing-engineeringgit clone --depth 1 https://github.com/wildcard/caroWrote 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/wildcard/caro/ai-marketing-engineering)<a href="https://agentmods.dev/skills/wildcard/caro/ai-marketing-engineering"><img src="https://agentmods.dev/badge/skills/wildcard/caro/ai-marketing-engineering/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/wildcard/caro/ai-marketing-engineering"><img src="https://agentmods.dev/badge/skills/wildcard/caro/ai-marketing-engineering.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 | $0.00118 | $0.02504 |
| Opus 5.5 | $0.00047 | $0.01002 |
| Sonnet 5.5 | $0.00024 | $0.00501 |
| Haiku 4.5 | $0.00012 | $0.00250 |
Grade A, and why
ai-marketing-engineering 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.
The source is not reproduced here
Licensed AGPL-3.0
The repository is licensed AGPL-3.0, which this catalogue does not treat as permission to reproduce the file. Read it at the source.
What ships with it
15 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.
- references/agent-cards.md 13 KB
- references/gherkin-task-suite.feature 20 KB
- references/master-prompt.md 9.7 KB
- references/mechanisms/01-infinite-creative.md 7.0 KB
- references/mechanisms/02-adaptive-budget.md 7.3 KB
- references/mechanisms/03-ltv-signals.md 8.7 KB
- references/mechanisms/04-data-layer.md 9.0 KB
- references/mechanisms/05-aeo.md 8.0 KB
- references/mechanisms/06-dynamic-quiz.md 9.3 KB
- references/mechanisms/07-activation.md 10 KB
- references/mechanisms/08-personalized-video.md 8.0 KB
- references/mechanisms/09-competitive-intelligence.md 8.7 KB
- references/mechanisms/10-churn-prevention.md 9.5 KB
- references/mechanisms/INDEX.md 4.7 KB
- references/persona-spec.md 7.3 KB
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 First seen · 296 lines · 118 tokens per session scan A 27fd17857ee6
ai-marketing-engineering is a skill published in the GitHub repository wildcard/caro (40 stars, last pushed today), licensed AGPL-3.0. It adds 118 tokens to every session and 2,504 once invoked, about $0.0005 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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