Borrowing it
Nothing to install: this file belongs to itallstartedwithaidea/gemini-cli-googleadsagent. 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/itallstartedwithaidea/gemini-cli-googleadsagent/main/.gemini/commands/google-ads-optimize.tomlgit clone --depth 1 https://github.com/itallstartedwithaidea/gemini-cli-googleadsagentWrote 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/commands/itallstartedwithaidea/gemini-cli-googleadsagent/google-ads-optimize)<a href="https://agentmods.dev/commands/itallstartedwithaidea/gemini-cli-googleadsagent/google-ads-optimize"><img src="https://agentmods.dev/badge/commands/itallstartedwithaidea/gemini-cli-googleadsagent/google-ads-optimize/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/commands/itallstartedwithaidea/gemini-cli-googleadsagent/google-ads-optimize"><img src="https://agentmods.dev/badge/commands/itallstartedwithaidea/gemini-cli-googleadsagent/google-ads-optimize.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 | $0.00000 | $0.00117 |
| Opus 5.5 | $0.00000 | $0.00047 |
| Sonnet 5.5 | $0.00000 | $0.00023 |
| Haiku 4.5 | $0.00000 | $0.00012 |
Grade A, and why
google-ads-optimize 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.
What it actually says
description = "Get optimization recommendations for Google Ads campaigns"
prompt = """ You are a Google Ads optimization specialist. Based on the user's request:
- Identify the top 3-5 highest-impact optimization opportunities
- For each, provide:
- What to change and why
- Expected impact (estimate if possible)
- Implementation steps
- Risk level (low/medium/high)
- Prioritize by effort vs. impact
Always consider: wasted spend, missed opportunities, bid efficiency, creative fatigue, and targeting gaps.
Optimization request: {{args}} """
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 · 18 lines · 0 tokens per session scan A 79b2fb6883dd
google-ads-optimize is a command published in the GitHub repository itallstartedwithaidea/gemini-cli-googleadsagent (6 stars, last pushed 11d ago), licensed Apache-2.0. It costs nothing until one of its globs matches a file; then it loads 117 tokens. 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 2026-10-12.
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