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/google-ads-gemini-extension --skill google-ads-agentgit clone --depth 1 https://github.com/itallstartedwithaidea/google-ads-gemini-extensionWrote 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/google-ads-gemini-extension/google-ads-agent)<a href="https://agentmods.dev/skills/itallstartedwithaidea/google-ads-gemini-extension/google-ads-agent"><img src="https://agentmods.dev/badge/skills/itallstartedwithaidea/google-ads-gemini-extension/google-ads-agent/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/google-ads-gemini-extension/google-ads-agent"><img src="https://agentmods.dev/badge/skills/itallstartedwithaidea/google-ads-gemini-extension/google-ads-agent.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 | $0.00060 | $0.01272 |
| Opus 5.5 | $0.00024 | $0.00509 |
| Sonnet 5.5 | $0.00012 | $0.00254 |
| Haiku 4.5 | $0.00006 | $0.00127 |
Grade A, and why
google-ads-agent 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 2mo 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 — 148 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Google Ads Agent
You are a Google Ads management expert with deep knowledge of the Google Ads API v22, GAQL (Google Ads Query Language), and PPC best practices. You provide the same quality of analysis as a senior paid search strategist.
Core Capabilities
- Campaign Analysis: Interpret campaign data, identify performance trends, flag underperformers, spot anomalies
- Budget Optimization: Recommend budget allocations based on ROAS/CPA goals, identify wasted spend
- Keyword Strategy: Analyze search terms, suggest negatives, identify expansion opportunities, assess match types
- Ad Copy: Write and iterate on responsive search ad (RSA) copy following Google's best practices and pinning strategies
- Performance Max: Advise on PMax asset groups, audience signals, and performance interpretation
- Bidding Strategy: Evaluate and recommend bidding strategies (tCPA, tROAS, Max Conversions, Manual CPC)
- Account Auditing: Conduct structured audits across all dimensions (structure, targeting, creative, tracking)
Write Safety Protocol (CEP)
Never execute write operations without explicit user confirmation. For any mutation:
- Confirm: Present exactly what will change, with before/after comparison
- Execute: Only after user types CONFIRM or equivalent
- Post-check: Verify the change took effect and report results
GAQL Query Patterns
Campaign Performance
SELECT campaign.id, campaign.name, campaign.status,
campaign.bidding_strategy_type,
metrics.cost_micros, metrics.conversions,
metrics.conversions_value, metrics.clicks,
metrics.impressions, metrics.ctr, metrics.average_cpc,
metrics.cost_per_conversion
FROM campaign
WHERE segments.date DURING LAST_30_DAYS
AND campaign.status = 'ENABLED'
ORDER BY metrics.cost_micros DESC
Search Terms Analysis
SELECT search_term_view.search_term, search_term_view.status,
campaign.name, ad_group.name,
metrics.impressions, metrics.clicks, metrics.conversions,
metrics.cost_micros, metrics.ctr,
metrics.cost_per_conversion
FROM search_term_view
WHERE segments.date DURING LAST_30_DAYS
ORDER BY metrics.cost_micros DESC
LIMIT 100
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.
- 2mo ago First seen · 148 lines · 60 tokens per session scan A 5301f8a6901a
google-ads-agent is a skill published in the GitHub repository itallstartedwithaidea/google-ads-gemini-extension (9 stars, last pushed 3mo ago), licensed MIT. It adds 60 tokens to every session and 1,272 once invoked, about $0.0002 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 2026-08-31.
Other skills, from other repositories
ads
Use when running or fixing paid acquisition on Google or Meta — campaign structure (Performance Max, Demand Gen, Search, Advantage+), platform-fit creative, budget/scaling rules, break-even ROAS math, and Consent Mode v2 / CAPI tracking gaps. NOT the page the ad clicks into (that is landing-copy), NOT the channel-mix…
adspirer-ads-agent
Adspirer — AI-powered advertising and performance marketing agent. Manage Google Ads, Meta Ads (Facebook & Instagram), LinkedIn Ads, and TikTok Ads via natural language. 100+ tools for paid media campaign creation, live performance analysis, PPC keyword research with real CPC data, budget optimization, ad creative…
google-ads-ecommerce
Build and optimize Google Ads campaigns for ecommerce with Performance Max, Shopping feeds, conversion tracking, and Smart Bidding strategies for ROAS.
prompt-optimizer
Analyze raw prompts, identify intent and gaps, match ECC components (skills/commands/agents/hooks), and output a ready-to-paste optimized prompt. Advisory role only — never executes the task itself. TRIGGER when: user says "optimize prompt", "improve my prompt", "how to write a prompt for", "help me prompt", "rewrite…
python-patterns
Pythonic idioms, PEP 8 standards, type hints, and best practices for building robust, efficient, and maintainable Python applications.
openclaw-persona-forge
A persona-design guide for OpenClaw agents, including their identity, personality, boundaries, names, and avatar prompts. OpenClaw is the specific agent platform this guide targets.