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/agent-skills --skill pmax-optimizationgit clone --depth 1 https://github.com/itallstartedwithaidea/agent-skillsWrote 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/agent-skills/pmax-optimization)<a href="https://agentmods.dev/skills/itallstartedwithaidea/agent-skills/pmax-optimization"><img src="https://agentmods.dev/badge/skills/itallstartedwithaidea/agent-skills/pmax-optimization/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/agent-skills/pmax-optimization"><img src="https://agentmods.dev/badge/skills/itallstartedwithaidea/agent-skills/pmax-optimization.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 | $0.00021 | $0.02628 |
| Opus 5.5 | $0.00008 | $0.01051 |
| Sonnet 5.5 | $0.00004 | $0.00526 |
| Haiku 4.5 | $0.00002 | $0.00263 |
Grade A, and why
pmax-optimization 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 — 287 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Performance Max Optimization
Part of Agent Skills™ by googleadsagent.ai™
Description
The Performance Max Optimization skill provides expert-level management of Google's most automated campaign type. Performance Max (PMax) campaigns serve across all Google inventory — Search, Display, YouTube, Discover, Gmail, and Maps — using AI-driven targeting. While Google automates much of the delivery, the advertiser's strategic inputs dramatically influence performance: asset quality, audience signals, URL strategies, search themes, and campaign structure determine whether PMax delivers efficient growth or wasteful spend.
This skill addresses the core challenge of PMax: optimizing a black-box system. It establishes structural best practices (asset group architecture mapped to product lines or audience segments), configures audience signals that accelerate machine learning without constraining reach, manages URL expansion settings to balance automation with brand safety, and leverages the search themes feature to influence where PMax appears on Search.
Critical to PMax success is asset performance management. The skill monitors asset performance ratings (Best, Good, Low, combinations available), identifies underperforming creative elements, and generates replacement assets. It also manages the often-overlooked negative controls: brand exclusions to prevent cannibalization of branded search campaigns, negative keywords (available via API or Google rep), and placement exclusions to maintain brand safety on Display and YouTube inventory.
Use When
- User asks about "Performance Max" or "PMax" campaigns
- User wants to "optimize PMax" or "improve PMax performance"
- User mentions "asset groups" or "asset performance"
- User asks about "audience signals" for PMax
- User mentions "URL expansion" or "final URL" settings
- User wants to "add search themes" to PMax
- User asks about "PMax cannibalization" of Search campaigns
- User mentions "PMax negative keywords" or "brand exclusions"
- User wants to "structure PMax campaigns" or "create asset groups"
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 · 287 lines · 21 tokens per session scan A 6fd623e11ab6
pmax-optimization is a skill published in the GitHub repository itallstartedwithaidea/agent-skills (44 stars, last pushed 6mo ago), licensed MIT. It adds 21 tokens to every session and 2,628 once invoked, about $0.0001 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 2026-08-30.
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