Getting it into your agent
This one installs as part of its plugin. Adding the marketplace and installing the plugin brings it with everything else the plugin ships.
/plugin marketplace add chanktb/claude-google-ads/plugin install claude-google-adsWrote 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/chanktb/claude-google-ads/builder-pmax)<a href="https://agentmods.dev/skills/chanktb/claude-google-ads/builder-pmax"><img src="https://agentmods.dev/badge/skills/chanktb/claude-google-ads/builder-pmax/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/chanktb/claude-google-ads/builder-pmax"><img src="https://agentmods.dev/badge/skills/chanktb/claude-google-ads/builder-pmax.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 | $0.00124 | $0.03307 |
| Opus 5 | $0.00062 | $0.01654 |
| Sonnet 5 | $0.00025 | $0.00661 |
| Haiku 4.5 | $0.00012 | $0.00331 |
Grade A, and why
google-ads-builder-pmax 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 9d 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 — 171 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Google Ads — Builder: Performance Max
Design a launch-ready PMax campaign from context + plan + catalog. Output is intern-ready. The highest- leverage decision is the split strategy (STEP 4) — get that right before designing assets.
Operating rules
- Read everything from
account-context.yaml(brand_terms, margin_tiers, guardrails, data_source, AOV, budget) and theplanoutput. No brand/vertical hardcoding. - Write all output to the working directory, never into the plugin.
- Verify every Final URL is live before it enters the blueprint (campaigns fail on 404 / too-broad URLs).
- Enforce guardrails (brand exclusion not brand negatives; conversion goals at campaign level; don't reference paused/out-of-stock products).
Model dispatch (run cheap, decide expensive) — see ${CLAUDE_PLUGIN_ROOT}/references/model-tier-dispatch.md
- Scout (
haiku) — per-URL HEAD 200 checks (STEP 5); thespec_to_xlsx.pyrender; Google-accurate char-count validation passes. - Routine (
sonnet) — STEP 2 catalog research (product types, counts, prices, best-sellers, URL map), STEP 3 expansion performance pull. Dispatch asgeneral-purposesub-agents; return raw catalog/URL data, don't design. - Judge (main session) — STEP 4 the split choice (the soul), STEP 5 asset-group + listing-group design, STEP 6 ad copy + search themes, STEP 7 audience signals, the guardrail enforcement. Catalog pulls and char-counts are mechanical; voice and strategy are not.
STEP 1 — Inputs
From the user + plan: which products/lines, the campaign's daily budget, and target ROAS phase. If the
user is vague ("build pmax for X"), infer the rest from context and the catalog.
STEP 2 — Research catalog & website
Via the data_source connector/API (Shopify/Woo/...), pull product types, counts, price distribution,
and best sellers. Verify collection/landing URLs are live (no 404, correct content) and record a URL
map. Capture the website's product-type taxonomy (it may differ from the feed product_type — check both).
If the connector is down, use the fallback chain (env creds / hub / browse) per setup; flag and continue.
What ships with it
1 file 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.
- 9d ago First seen · 171 lines · 124 tokens per session scan A b148e812eed6
google-ads-builder-pmax is a skill published in the GitHub repository chanktb/claude-google-ads (11 stars, last pushed 2mo ago), licensed MIT. It adds 124 tokens to every session and 3,307 once invoked, about $0.0006 per session on Opus 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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