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 aitytech/agentkits-marketing --skill paid-advertisinggit clone --depth 1 https://github.com/aitytech/agentkits-marketingWrote 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/aitytech/agentkits-marketing/paid-advertising)<a href="https://agentmods.dev/skills/aitytech/agentkits-marketing/paid-advertising"><img src="https://agentmods.dev/badge/skills/aitytech/agentkits-marketing/paid-advertising/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/aitytech/agentkits-marketing/paid-advertising"><img src="https://agentmods.dev/badge/skills/aitytech/agentkits-marketing/paid-advertising.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 | $0.00034 | $0.01555 |
| Opus 5 | $0.00017 | $0.00777 |
| Sonnet 5 | $0.00007 | $0.00311 |
| Haiku 4.5 | $0.00003 | $0.00155 |
Grade A, and why
paid-advertising 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 11d 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.
How it starts
The opening of the file, as written. The whole thing — 198 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Paid Advertising
Paid media strategy and optimization across platforms for profitable customer acquisition.
Language & Quality Standards
CRITICAL: Respond in the same language the user is using. If Vietnamese, respond in Vietnamese. If Spanish, respond in Spanish.
Standards: Token efficiency, sacrifice grammar for concision, list unresolved questions at end.
When to Use This Skill
Apply paid advertising expertise when:
- Planning paid campaign strategy
- Optimizing ad performance and ROAS
- Managing budgets across platforms
- Setting up tracking and attribution
- Creating ad copy and creative briefs
- Troubleshooting underperforming campaigns
Core Concepts
Campaign Objectives by Goal
| Objective | Use When | Primary KPI | Platform Features |
|---|---|---|---|
| Awareness | Building brand | CPM, Reach | Brand awareness, video views |
| Traffic | Driving site visits | CPC, CTR | Traffic campaigns |
| Engagement | Growing social | CPE, engagement rate | Engagement campaigns |
| Leads | Generating contacts | CPL, lead quality | Lead forms, conversions |
| Conversions | Driving sales | ROAS, CPA | Purchase, signup events |
| App Installs | Mobile acquisition | CPI, install rate | App campaigns |
Funnel-Based Targeting Strategy
TOFU (Awareness) - Cold Audiences
- Broad interest targeting
- Lookalike audiences (1-3%)
- Video viewers (3s+)
- Content: Educational, entertaining
- Bid: CPM or ThruPlay
MOFU (Consideration) - Warm Audiences
- Website visitors (7-30 days)
- Email list matches
- Engaged social audiences
- Content: Case studies, comparisons
- Bid: Landing page views
BOFU (Decision) - Hot Audiences
- High-intent visitors (pricing, demo pages)
- Cart abandoners (1-7 days)
- Trial users, demo requesters
- Content: Offers, urgency, testimonials
- Bid: Conversions, ROAS
Platform-Specific Guidelines
Google Ads
| Campaign Type | Best For | Key Settings |
|---|---|---|
| Search | High intent, BOFU | Exact match, SKAG |
| Display | Awareness, retargeting | Placement exclusions |
| Shopping | E-commerce | Feed optimization |
| Performance Max | Full-funnel automation | Asset variety |
| YouTube | Awareness, TOFU | Audience targeting |
What ships with it
5 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.
- 11d ago First seen · 198 lines · 34 tokens per session scan A 0891b9691c8d
paid-advertising is a skill published in the GitHub repository aitytech/agentkits-marketing (599 stars, last pushed 13d ago), licensed MIT. It adds 34 tokens to every session and 1,555 once invoked, about $0.0002 per session on Opus 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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