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google-ads-research

google-ads-research is a skill for Claude Code, Codex from ad-vertly/adextract-mcp-server. It costs 51 tokens per session (331 once invoked), scanned A, original, MIT.

A research workflow for the Google Ads Transparency Center, a public service that shows advertisements run by advertisers on Google and YouTube. It finds advertisers and ads, filters results, and reviews the returned creative material.

In plain words
What is it for?
Use it to research Google or YouTube advertisers and creatives by domain, advertiser, platform, format, region, or time period, then report patterns in the ads found.
Why use it?
It helps turn a brand, website, or advertiser name into evidence-based ad research instead of relying on guesses. It also records gaps when media or ad details are unavailable.

Skill for Claude CodeCodex

Written for no agent in particular: nothing here depends on one.

not rated 0repo yesterday A scan 51 tokens original MIT

Good fit Use it to research Google or YouTube advertisers and creatives by domain, advertiser, platform, format, region, or time period, then report patterns in the ads found.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/ad-vertly/adextract-mcp-server/google-ads-research
View source ↗ ad-vertly/adextract-mcp-server adextract.co
Install

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.

Any agent
npx skills add ad-vertly/adextract-mcp-server --skill google-ads-research
Clone the repo
git clone --depth 1 https://github.com/ad-vertly/adextract-mcp-server

Made for: Claude Code, Codex.

Wrote 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.

agentmods badge for google-ads-research

README.md
[![agentmods](https://agentmods.dev/badge/skills/ad-vertly/adextract-mcp-server/google-ads-research/github.svg)](https://agentmods.dev/skills/ad-vertly/adextract-mcp-server/google-ads-research)
Your own site
<a href="https://agentmods.dev/skills/ad-vertly/adextract-mcp-server/google-ads-research"><img src="https://agentmods.dev/badge/skills/ad-vertly/adextract-mcp-server/google-ads-research/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.

agentmods 80×15 button for google-ads-research

Your own site · 80×15
<a href="https://agentmods.dev/skills/ad-vertly/adextract-mcp-server/google-ads-research"><img src="https://agentmods.dev/badge/skills/ad-vertly/adextract-mcp-server/google-ads-research.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 51 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 331 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. A grade says what 26 rules found in the file — not that it is safe.
Origin original No closer match found in the catalogue.
Token cost

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.

ModelPer sessionOnce invoked
Fable 5.1 $0.00051 $0.00331
Opus 5.5 $0.00020 $0.00132
Sonnet 5.5 $0.00010 $0.00066
Haiku 4.5 $0.00005 $0.00033

Measured yesterday against content hash cbbfa1109182, method: parsed. Prices are Anthropic first-party input rates as of 2026-10-07, from the pricing page.

Security

Grade A, and why

google-ads-research 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 yesterday.

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.

plugins/adextract/skills/google-ads-research/SKILL.md · 38 lines

What it actually says

When to use

Use this skill for Google Ads Transparency Center research by brand, domain, advertiser ID, platform, ad format, or date range.

Tool workflow

  1. Resolve the advertiser with search_google_ads_advertisers when the user gives only a brand name.
  2. Search creatives with search_google_ads using advertiser_id or domain.
  3. Filter deliberately with region, platform, ad_format, and time_period.
  4. Fetch full creative data with get_google_ad_details for the most relevant ads.
  5. Use ad_reader on returned media URLs or thumbnails before making creative claims.

Research defaults

  • Prefer domain when the user provides a website.
  • Prefer advertiser_id after resolving official advertisers.
  • Use platform: youtube for YouTube creative research.
  • Use ad_format: video, image, or text when the user asks about a format.
  • Paginate with next_page_token when the first result set is too thin.

Output

Return the advertiser source, filters used, notable creative patterns, funnel role, format mix, and 3-5 evidence-backed findings. Call out gaps caused by missing media or details results.

Changes

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.

  1. yesterday First seen · 38 lines · 51 tokens per session scan A cbbfa1109182

Subscribe to this mod's changes

google-ads-research is a skill published in the GitHub repository ad-vertly/adextract-mcp-server (0 stars, last pushed yesterday), licensed MIT. It adds 51 tokens to every session and 331 once invoked, about $0.0002 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 2026-11-06.

Marketing and SEOResearchad-intelligencead-libraryad-spyai-agentscompetitive-intelligencegoogle-ads
Related

google-ads-research compared with skills from other repositories

google-ads-research next to 6 skills from other repositories
ModTypeStarsLast pushLicenceScanTokensWorks with
google-ads-researchad-vertly/adextract-mcp-serverSkill0yesterdayMITA51Claude Code, Codex
admapixfly0pants/admapixSkill62mo agononeA55Claude Code
admapixfly0pants/admapixSkill62mo agononeA55Claude Code, Codex
adspirer-ads-agentLeoYeAI/openclaw-master-skillsSkill2.2k6d agoMITA141Claude Code, Codex
adsericrisco/rsc-harnessSkill5032d agoMITA81Claude Code, Codex
web-research-workflowyonatangross/orchestkitSkill299yesterdayMITA72Claude Code
google-adsVKirill/claude-lane-stackSkill1248d agoMITA369Claude Code