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 itallstartedwithaidea/agent-skills --skill ad-copy-generationgit clone --depth 1 https://github.com/itallstartedwithaidea/agent-skillsWrote 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/itallstartedwithaidea/agent-skills/ad-copy-generation)<a href="https://agentmods.dev/skills/itallstartedwithaidea/agent-skills/ad-copy-generation"><img src="https://agentmods.dev/badge/skills/itallstartedwithaidea/agent-skills/ad-copy-generation/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/itallstartedwithaidea/agent-skills/ad-copy-generation"><img src="https://agentmods.dev/badge/skills/itallstartedwithaidea/agent-skills/ad-copy-generation.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 | $0.00033 | $0.02045 |
| Opus 5.5 | $0.00013 | $0.00818 |
| Sonnet 5.5 | $0.00007 | $0.00409 |
| Haiku 4.5 | $0.00003 | $0.00204 |
Grade A, and why
ad-copy-generation 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.
How it starts
The opening of the file, as written. The whole thing — 212 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Ad Copy Generation
Part of Agent Skills™ by googleadsagent.ai™
Description
The Ad Copy Generation skill produces high-performance responsive search ad (RSA) copy using AI-driven generation pipelines calibrated against millions of ad performance data points. It generates headlines (up to 15, max 30 characters each) and descriptions (up to 4, max 90 characters each), optimizing for ad strength, click-through rate, and conversion relevance while adhering to Google Ads editorial policies.
The generation engine applies proven copywriting frameworks including AIDA (Attention, Interest, Desire, Action), PAS (Problem, Agitate, Solve), and benefit-driven messaging. It incorporates dynamic keyword insertion (DKI) syntax where appropriate, manages pin strategies for controlled ad assembly, and generates systematic A/B testing variants. Each ad variant is scored against Google's ad strength criteria before submission.
Beyond generation, the skill manages the full ad copy lifecycle: competitive ad analysis to identify messaging gaps, performance-based variant pruning, statistical significance testing for A/B experiments, and automated winner scaling. It integrates with the Buddy™ platform to learn from historical performance data, continuously improving generation quality for each specific account and industry vertical.
Use When
- User asks to "write ad copy" or "generate ads"
- User wants "new headlines" or "new descriptions" for RSAs
- User mentions "ad strength" improvement
- User asks for "A/B test variants" or "ad testing"
- User wants to "improve click-through rate" on ads
- User mentions "responsive search ads" or "RSA optimization"
- User asks about "dynamic keyword insertion" or "DKI"
- User wants "pin strategy" recommendations
- User asks to "refresh stale ad copy" or "combat ad fatigue"
Architecture
flowchart TD
A[Input: Keywords, Landing Page, USPs] --> B[Context Analysis]
B --> C[Landing Page Scraper]
B --> D[Keyword Intent Classifier]
B --> E[Competitor Ad Analyzer]
C --> F[Message Map Builder]
D --> F
E --> F
F --> G[AI Generation Engine]
G --> H[Headline Generator\nmax 30 chars x 15]
G --> I[Description Generator\nmax 90 chars x 4]
H --> J[Policy Compliance Check]
I --> J
J --> K[Ad Strength Scorer]
K -->|Excellent| L[Final Ad Variants]
K -->|Good| L
K -->|Average| M[Regenerate with Feedback]
K -->|Poor| M
M --> G
L --> N[Pin Strategy Optimizer]
N --> O[A/B Test Plan]
O --> P[Deploy to Google Ads]
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 · 212 lines · 33 tokens per session scan A 9ed478949fa2
ad-copy-generation is a skill published in the GitHub repository itallstartedwithaidea/agent-skills (44 stars, last pushed 6mo ago), licensed MIT. It adds 33 tokens to every session and 2,045 once invoked, about $0.0001 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 2026-08-30.
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