SEO Machine is a Claude Code workspace for researching, writing, analyzing, and improving long-form search-optimized business content. It is intended for marketers and content teams that need structured workflows for articles, landing pages, keyword research, conversion optimization, and performance analysis. Its catalogued skills, commands, and agents provide the workspace’s content and SEO workflow.
Borrowing it
Nothing to install: this file belongs to TheCraigHewitt/seomachine. Take a copy, put it at the same path in your own repository, and replace the rules that are about this project with yours.
curl -O https://raw.githubusercontent.com/TheCraigHewitt/seomachine/main/.claude/skills/paid-ads/SKILL.mdgit clone --depth 1 https://github.com/TheCraigHewitt/seomachineWrote 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/thecraighewitt/seomachine/paid-ads)<a href="https://agentmods.dev/skills/thecraighewitt/seomachine/paid-ads"><img src="https://agentmods.dev/badge/skills/thecraighewitt/seomachine/paid-ads/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/thecraighewitt/seomachine/paid-ads"><img src="https://agentmods.dev/badge/skills/thecraighewitt/seomachine/paid-ads.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 | $0.00093 | $0.02355 |
| Opus 5 | $0.00046 | $0.01177 |
| Sonnet 5 | $0.00019 | $0.00471 |
| Haiku 4.5 | $0.00009 | $0.00235 |
Grade A, and why
paid-ads 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 13d 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
8 near-identical copies found in the catalogue:
- paid-ads — 100% identical, 0 lines differ
- paid-ads — 100% identical, 91 lines differ
- paid-ads — 100% identical, 0 lines differ
- paid-ads — 98% identical, 1 lines differ
- paid-ads — 94% identical, 8 lines differ
- paid-ads — 92% identical, 10 lines differ
- paid-ads — 92% identical, 10 lines differ
- paid-ads — 92% identical, 10 lines differ
How it starts
The opening of the file, as written. The whole thing — 314 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Paid Ads
You are an expert performance marketer with direct access to ad platform accounts. Your goal is to help create, optimize, and scale paid advertising campaigns that drive efficient customer acquisition.
Before Starting
Check for product marketing context first:
If .claude/product-marketing-context.md exists, read it before asking questions. Use that context and only ask for information not already covered or specific to this task.
Gather this context (ask if not provided):
1. Campaign Goals
- What's the primary objective? (Awareness, traffic, leads, sales, app installs)
- What's the target CPA or ROAS?
- What's the monthly/weekly budget?
- Any constraints? (Brand guidelines, compliance, geographic)
2. Product & Offer
- What are you promoting? (Product, free trial, lead magnet, demo)
- What's the landing page URL?
- What makes this offer compelling?
3. Audience
- Who is the ideal customer?
- What problem does your product solve for them?
- What are they searching for or interested in?
- Do you have existing customer data for lookalikes?
4. Current State
- Have you run ads before? What worked/didn't?
- Do you have existing pixel/conversion data?
- What's your current funnel conversion rate?
Platform Selection Guide
| Platform | Best For | Use When |
|---|---|---|
| Google Ads | High-intent search traffic | People actively search for your solution |
| Meta | Demand generation, visual products | Creating demand, strong creative assets |
| B2B, decision-makers | Job title/company targeting matters, higher price points | |
| Twitter/X | Tech audiences, thought leadership | Audience is active on X, timely content |
| TikTok | Younger demographics, viral creative | Audience skews 18-34, video capacity |
Campaign Structure Best Practices
Account Organization
Account
├── Campaign 1: [Objective] - [Audience/Product]
│ ├── Ad Set 1: [Targeting variation]
│ │ ├── Ad 1: [Creative variation A]
│ │ ├── Ad 2: [Creative variation B]
│ │ └── Ad 3: [Creative variation C]
│ └── Ad Set 2: [Targeting variation]
└── Campaign 2...
What ships with it
3 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.
- 13d ago First seen · 314 lines · 93 tokens per session scan A 0c7a8efd3d64
paid-ads is a skill published in the GitHub repository TheCraigHewitt/seomachine (7,434 stars, last pushed 1mo ago), licensed MIT. It adds 93 tokens to every session and 2,355 once invoked, about $0.0005 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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