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 zubair-trabzada/ai-ads-claude --skill ads-keywordsgit clone --depth 1 https://github.com/zubair-trabzada/ai-ads-claudeWrote 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/zubair-trabzada/ai-ads-claude/ads-keywords)<a href="https://agentmods.dev/skills/zubair-trabzada/ai-ads-claude/ads-keywords"><img src="https://agentmods.dev/badge/skills/zubair-trabzada/ai-ads-claude/ads-keywords/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/zubair-trabzada/ai-ads-claude/ads-keywords"><img src="https://agentmods.dev/badge/skills/zubair-trabzada/ai-ads-claude/ads-keywords.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 | $0.00045 | $0.04775 |
| Opus 5 | $0.00023 | $0.02388 |
| Sonnet 5 | $0.00009 | $0.00955 |
| Haiku 4.5 | $0.00005 | $0.00477 |
Grade A, and why
Google Ads Keyword Strategy 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.
How it starts
The opening of the file, as written. The whole thing — 457 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Google Ads Keyword Strategy
Skill Purpose
Build a complete, implementation-ready Google Ads keyword strategy from scratch. This skill maps search intent across the entire buyer journey, organizes keywords into tightly themed ad groups, recommends match types, builds comprehensive negative keyword lists, estimates CPC ranges by cluster, provides Quality Score optimization tips, and outputs a campaign structure with headline and description suggestions for every ad group. The output is detailed enough that an ad buyer can build the campaigns in Google Ads Manager without additional research.
When to Use
- User runs
/ads keywords <url> - User asks for Google Ads keyword research, keyword strategy, or search campaign planning
- Called as a subagent from
/ads strategy(the main orchestrator) - User wants to launch or improve Google search campaigns
- User needs keyword grouping, negative keywords, or ad group architecture
Input Requirements
- Required: A business URL to analyze
- Optional: Target location/geography, monthly budget, existing Google Ads data, specific products/services to focus on, competitor URLs
How to Execute
Step 1: Business & Market Intelligence
Fetch the business URL using WebFetch and extract:
| Data Point | Where to Find |
|---|---|
| Business name | Page title, logo, about page |
| Industry/category | Services, products, positioning |
| Products/services offered | Product pages, service pages, pricing page |
| Geographic focus | Service areas, locations, shipping scope |
| Price positioning | Pricing page, product prices, "starting at" text |
| Current SEO keywords | Meta titles, H1s, page URLs, blog topics |
| Value proposition | Hero section, tagline, about page |
| Competitor names | "Why choose us" sections, comparison pages |
| Customer language | Testimonials, reviews, FAQ content |
Run keyword research searches:
WebSearch: "[Business type]" Google Ads keywords
WebSearch: "[Industry]" high intent keywords
WebSearch: "[Product/service]" search terms people use
WebSearch: "[Business Name]" competitors Google Ads
WebSearch: "[Industry]" average CPC Google Ads 2025
WebSearch: site:[competitor URL] (to understand competitor positioning)
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 · 457 lines · 45 tokens per session scan A 8df36dbd0faa
Google Ads Keyword Strategy is a skill published in the GitHub repository zubair-trabzada/ai-ads-claude (246 stars, last pushed 5mo ago), licensed MIT. It adds 45 tokens to every session and 4,775 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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