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-audit-checklistgit 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-audit-checklist)<a href="https://agentmods.dev/skills/ad-superpowers/ad-superpowers-plugin/google-ads-pmax-audit-checklist"><img src="https://agentmods.dev/badge/skills/ad-superpowers/ad-superpowers-plugin/google-ads-pmax-audit-checklist/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-audit-checklist"><img src="https://agentmods.dev/badge/skills/ad-superpowers/ad-superpowers-plugin/google-ads-pmax-audit-checklist.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 | $0.00112 | $0.04048 |
| Opus 5.5 | $0.00045 | $0.01619 |
| Sonnet 5.5 | $0.00022 | $0.00810 |
| Haiku 4.5 | $0.00011 | $0.00405 |
Grade A, and why
google-ads-pmax-audit-checklist 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 — 493 lines — stays where its author put it; the contents beside it link to each section on GitHub.
PMax Audit Checklist
Structured audit framework for Performance Max campaigns with scoring (100 points). Uses all available GAQL recipes for maximum data coverage.
Audit Overview
PMAX AUDIT SCORECARD (100 POINTS)
===================================
1. Account Structure /15 points
2. Budget & Bidding /15 points
3. Asset Quality /20 points
4. Search Term Quality /15 points
5. Channel Performance /15 points
6. Shopping/Feed Health /10 points
7. Audience Signals /10 points
TOTAL: /100 points
SCORE INTERPRETATION:
+-- 80-100: Excellent -- fine-tuning and scaling
+-- 60-79: Good -- specific improvement areas
+-- 40-59: Fair -- significant optimization needed
+-- <40: Poor -- consider restructuring
1. Account Structure Audit (15 points)
Data Retrieval
-- All PMax campaigns with status and budget
SELECT campaign.id, campaign.name, campaign.status,
campaign.advertising_channel_type,
campaign_budget.amount_micros,
campaign.bidding_strategy_type,
metrics.impressions, metrics.clicks, metrics.cost_micros,
metrics.conversions, metrics.conversions_value
FROM campaign
WHERE campaign.advertising_channel_type = 'PERFORMANCE_MAX'
AND segments.date DURING LAST_30_DAYS
-- Asset groups per campaign
SELECT campaign.name, asset_group.id, asset_group.name,
asset_group.status, metrics.impressions, metrics.clicks,
metrics.cost_micros, metrics.conversions
FROM asset_group
WHERE segments.date DURING LAST_30_DAYS
ORDER BY metrics.cost_micros DESC
Scoring Criteria
ACCOUNT STRUCTURE SCORING
==========================
[ ] Number of PMax campaigns (5 points)
+-- 1-3 campaigns with clear segmentation -> 5/5
+-- 4-6 campaigns, logical distribution -> 4/5
+-- 7+ campaigns OR no logical structure -> 2/5
+-- 1 campaign for everything -> 3/5 (ok for small account)
[ ] Asset groups per campaign (5 points)
+-- 2-7 asset groups with product/theme segmentation -> 5/5
+-- 1 asset group per campaign -> 3/5 (underutilized)
+-- 8-15 asset groups -> 3/5 (too fragmented)
+-- >15 asset groups -> 1/5 (too many, consolidate)
[ ] Asset group delivery distribution (5 points)
+-- All asset groups >10% spend share -> 5/5
+-- 1-2 asset groups <10% spend -> 3/5
+-- >50% asset groups <10% spend -> 1/5
+-- Asset groups with 0 impressions -> 0/5
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 · 493 lines · 112 tokens per session scan A 5c74d60515ff
google-ads-pmax-audit-checklist is a skill published in the GitHub repository Ad-Superpowers/ad-superpowers-plugin (5 stars, last pushed 29d ago), licensed MIT. It adds 112 tokens to every session and 4,048 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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