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-demand-gen)<a href="https://agentmods.dev/skills/chanktb/claude-google-ads/builder-demand-gen"><img src="https://agentmods.dev/badge/skills/chanktb/claude-google-ads/builder-demand-gen/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-demand-gen"><img src="https://agentmods.dev/badge/skills/chanktb/claude-google-ads/builder-demand-gen.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 | $0.00114 | $0.00774 |
| Opus 5 | $0.00057 | $0.00387 |
| Sonnet 5 | $0.00023 | $0.00155 |
| Haiku 4.5 | $0.00011 | $0.00077 |
Grade A, and why
google-ads-builder-demand-gen 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 10d 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 — 57 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Google Ads — Builder: Demand Gen
An audience-led, creative-heavy campaign for awareness/consideration. Different from PMax/Search: the audience and creative are the levers, and measurement is upper-funnel.
Operating rules
- Read context (audiences available, brand, vertical, budget) + the
planoutput. - Write to the working directory:
blueprint.xlsx+campaign-spec.json(campaign_type: "demand_gen", asset-group-style creative groups). - Set expectations: this is funnel-building, not last-click harvesting.
Model dispatch (run cheap, decide expensive) — see ${CLAUDE_PLUGIN_ROOT}/references/model-tier-dispatch.md
- Scout (
haiku) — per-URL 200 checks; creative-spec/size validation; pulling available audience lists. - Routine (
sonnet) — pulling customer-match/visitor lists + high-value seeds for lookalikes. Dispatch asgeneral-purpose; return raw lists, don't strategize. - Judge (main session) — STEP 2 audience strategy, STEP 3 creative direction (via
assets), STEP 4 funnel/measurement framing, bidding. Audience inventory is cheap; audience strategy and creative are judgment.
STEP 1 — Inputs
Funnel goal (awareness/consideration/action), budget, and the products/message to feature.
STEP 2 — Audience strategy
- Your data: customer-match lists, website/app visitors (retarget).
- Lookalikes: from high-value customer seeds.
- Custom segments: by search behavior or competitor/site interest (
competitor_terms). - Interest/demographic layers as broad context. Combine behavioral + intent; avoid demographics alone.
STEP 3 — Creative sets (via assets)
Build per format: single image, carousel, and video (combined image+video drives more conversions than video-only at similar CPA). Provide briefs/specs and on-screen CTA. Strong, diverse creative IS the targeting lever here.
STEP 4 — Ad formats, funnel role & measurement caveats
- Map creatives to formats (YouTube in-feed/Shorts, Discover, Gmail).
- No frequency capping in Demand Gen — monitor reach vs frequency manually.
- Attribution leans on view-through / brand-lift; don't judge it on last-click ROAS alone. State this.
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.
- 10d ago First seen · 57 lines · 114 tokens per session scan A 350314a8a311
google-ads-builder-demand-gen is a skill published in the GitHub repository chanktb/claude-google-ads (11 stars, last pushed 2mo ago), licensed MIT. It adds 114 tokens to every session and 774 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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