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-pmax-search-cannibalization-detectorgit 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-pmax-search-cannibalization-detector)<a href="https://agentmods.dev/skills/ad-superpowers/ad-superpowers-plugin/google-ads-pmax-search-cannibalization-detector"><img src="https://agentmods.dev/badge/skills/ad-superpowers/ad-superpowers-plugin/google-ads-pmax-search-cannibalization-detector/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-pmax-search-cannibalization-detector"><img src="https://agentmods.dev/badge/skills/ad-superpowers/ad-superpowers-plugin/google-ads-pmax-search-cannibalization-detector.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 | $0.00123 | $0.03502 |
| Opus 5.5 | $0.00049 | $0.01401 |
| Sonnet 5.5 | $0.00025 | $0.00700 |
| Haiku 4.5 | $0.00012 | $0.00350 |
Grade A, and why
google-ads-pmax-search-cannibalization-detector 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 — 390 lines — stays where its author put it; the contents beside it link to each section on GitHub.
PMax Search Cannibalization Detector
Framework for detecting and resolving Performance Max stealing Search campaign traffic. The #1 frustration in the PPC community -- PMax claims branded conversions making ROAS appear artificially high.
Quick Diagnosis
IS PMAX CANNIBALIZING YOUR SEARCH?
====================================
Step 1: Check PMax search terms report
-> Many branded terms? --> PROBABLY YES
Step 2: Compare blended vs non-brand ROAS
-> PMax ROAS 2x higher than Search? --> RED FLAG
Step 3: Check Search campaign metrics since PMax launch
-> Search impressions/clicks dropped? --> CONFIRMED
RISK LEVELS:
+-- LOW: <20% brand traffic in PMax search terms
+-- MEDIUM: 20-50% brand traffic -> monitor + consider exclusion
+-- HIGH: 50-70% brand traffic -> enable brand exclusion
+-- CRITICAL: >70% brand traffic -> PMax ROAS is misleading
Step 1: Data Collection
1A: PMax Search Terms Report
Use google_ads_run_gaql to retrieve PMax search terms:
SELECT campaign.name, search_term_view.search_term,
metrics.impressions, metrics.clicks, metrics.cost_micros,
metrics.conversions, metrics.conversions_value
FROM search_term_view
WHERE campaign.advertising_channel_type = 'PERFORMANCE_MAX'
AND segments.date DURING LAST_30_DAYS
ORDER BY metrics.impressions DESC
LIMIT 200
1B: Search Campaign Search Terms
SELECT campaign.name, search_term_view.search_term,
metrics.impressions, metrics.clicks, metrics.cost_micros,
metrics.conversions, metrics.conversions_value
FROM search_term_view
WHERE campaign.advertising_channel_type = 'SEARCH'
AND segments.date DURING LAST_30_DAYS
ORDER BY metrics.impressions DESC
LIMIT 200
1C: Campaign Performance per Channel Type
SELECT campaign.name, campaign.advertising_channel_type,
campaign.status, metrics.impressions, metrics.clicks,
metrics.cost_micros, metrics.conversions,
metrics.conversions_value, metrics.search_impression_share
FROM campaign
WHERE segments.date DURING LAST_30_DAYS
AND campaign.status = 'ENABLED'
ORDER BY metrics.cost_micros DESC
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 · 390 lines · 123 tokens per session scan A bb51ace0a5c7
google-ads-pmax-search-cannibalization-detector is a skill published in the GitHub repository Ad-Superpowers/ad-superpowers-plugin (5 stars, last pushed 29d ago), licensed MIT. It adds 123 tokens to every session and 3,502 once invoked, about $0.0005 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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