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 Ad-Superpowers/ad-superpowers-plugin --skill google-ads-campaign-structure-advisorgit clone --depth 1 https://github.com/Ad-Superpowers/ad-superpowers-pluginWrote 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/ad-superpowers/ad-superpowers-plugin/google-ads-campaign-structure-advisor)<a href="https://agentmods.dev/skills/ad-superpowers/ad-superpowers-plugin/google-ads-campaign-structure-advisor"><img src="https://agentmods.dev/badge/skills/ad-superpowers/ad-superpowers-plugin/google-ads-campaign-structure-advisor/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/ad-superpowers/ad-superpowers-plugin/google-ads-campaign-structure-advisor"><img src="https://agentmods.dev/badge/skills/ad-superpowers/ad-superpowers-plugin/google-ads-campaign-structure-advisor.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 | $0.00102 | $0.01688 |
| Opus 5.5 | $0.00041 | $0.00675 |
| Sonnet 5.5 | $0.00020 | $0.00338 |
| Haiku 4.5 | $0.00010 | $0.00169 |
Grade A, and why
google-ads-campaign-structure-advisor 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 — 160 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Campaign Structure Advisor
Complete guide for structuring and optimizing Google Ads accounts with focus on modern, Smart Bidding-optimized architectures.
Quick decision guide for choosing structure type in references/decision-trees.md.
2026 Campaign Type Reference
| Type | Purpose | Key Notes |
|---|---|---|
| Search | Text ads on Google Search | AI Max subtype (2026) for broad query coverage |
| Performance Max | All-channel automation | Negative keywords (v20+), search terms (v21+), network breakdown (v22+) |
| Demand Gen | Visual prospecting (YouTube, Discover, Gmail) | Replaced Discovery (Aug 2023), supports TargetCPC (v22+) |
| Display | Banner/image ads on GDN | |
| Shopping | Product listing ads (feed-based) | |
| Video | YouTube video campaigns | |
| App | App install/engagement |
Removed: Discovery (→ Demand Gen), Similar Audiences (→ Optimized Targeting).
Pull Current Account Structure via MCP
google_ads_run_gaql(query="
SELECT campaign.name, campaign.advertising_channel_type,
campaign.advertising_channel_sub_type,
campaign.bidding_strategy_type,
campaign.status,
metrics.conversions, metrics.cost_micros,
metrics.cost_per_conversion
FROM campaign
WHERE segments.date DURING LAST_30_DAYS
AND campaign.status = 'ENABLED'
ORDER BY metrics.cost_micros DESC
LIMIT 25
")
Use to audit campaign types, identify consolidation candidates (<30 conv/month), and spot legacy structures.
Modern Structure Principles
- Consolidation over fragmentation: Fewer campaigns with more conversions = faster Smart Bidding learning
- Machine learning first: Smart Bidding + broad match, not manual bids + exact match
- Theme-based ad groups (STAG): Same-intent keywords grouped (10-20 per group), replacing SKAGs
- Budget = business constraint: Separate campaigns only for different budgets, geos, business units, or performance targets
What ships with it
2 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.
- 1mo ago First seen · 160 lines · 102 tokens per session scan A 2856cfdeee08
google-ads-campaign-structure-advisor is a skill published in the GitHub repository Ad-Superpowers/ad-superpowers-plugin (5 stars, last pushed 29d ago), licensed MIT. It adds 102 tokens to every session and 1,688 once invoked, about $0.0004 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 2026-09-11.
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