A Google Ads review skill for Search, Performance Max, Display, YouTube, and Demand Gen campaigns. It checks campaign data such as conversion tracking, spending, account structure, keywords, ads, and settings.

Use it to inspect Google Ads exports, change history, and search-term reports, then produce pass, warning, or fail findings with an action plan.

It turns scattered advertising data into a structured review of tracking problems, wasted spend, and campaign setup issues.

ads-google — Skill for Claude Code and Codex by itsjwill/ad-audit-pro

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 itsjwill/ad-audit-pro --skill ads-google

Clone the repo

git clone --depth 1 https://github.com/itsjwill/ad-audit-pro

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.

README.md

[![agentmods](https://agentmods.dev/badge/skills/itsjwill/ad-audit-pro/ads-google/github.svg)](https://agentmods.dev/skills/itsjwill/ad-audit-pro/ads-google)

Your own site

<a href="https://agentmods.dev/skills/itsjwill/ad-audit-pro/ads-google"><img src="https://agentmods.dev/badge/skills/itsjwill/ad-audit-pro/ads-google/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.

Your own site · 80×15

<a href="https://agentmods.dev/skills/itsjwill/ad-audit-pro/ads-google"><img src="https://agentmods.dev/badge/skills/itsjwill/ad-audit-pro/ads-google.svg" alt="Reviewed on agentmods" width="80" height="20"></a>

Per session 74 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.

When invoked 1,237 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 100% copy Near-identical to another mod 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.

Model	Per session	Once invoked
Fable 5.1	$0.00074	$0.01237
Opus 5.5	$0.00030	$0.00495
Sonnet 5.5	$0.00015	$0.00247
Haiku 4.5	$0.00007	$0.00124

Measured 2mo ago against content hash 0b4f7e44422c, method: parsed. Prices are Anthropic first-party input rates as of 2026-10-07, from the pricing page.

Security

Grade A, and why

ads-google 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 2mo 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.

Origin

This is a copy

100% identical to ads-google — 1 line differ, which has more behind it and is treated as the original. This page carries a canonical link to it rather than competing with it.

skills/ads-google/SKILL.md · 128 lines

How it starts

The opening of the file, as written. The whole thing — 128 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Google Ads Deep Analysis

Process

Collect Google Ads account data (export, Change History, Search Terms Report)
Read ads/references/google-audit.md for full 74-check audit
Read ads/references/benchmarks.md for Google-specific benchmarks
Read ads/references/scoring-system.md for weighted scoring
Evaluate all applicable checks as PASS, WARNING, or FAIL
Calculate Google Ads Health Score (0-100)
Generate findings report with action plan

What to Analyze

Conversion Tracking (25% weight)

Google tag (gtag.js) installed and firing on all pages
Enhanced Conversions active (hashed first-party data)
Consent Mode v2 implemented (required for EU/EEA)
Conversion actions mapped correctly (primary vs secondary)
Offline conversion import configured (for lead gen)
Server-side tagging via GTM (recommended for accuracy)
Attribution model: data-driven preferred (last-click as fallback only)
Conversion lag analysis (are conversions still trickling in?)

Wasted Spend (20% weight)

Search Terms Report reviewed (last 30 days minimum)
Negative keyword coverage adequate (shared lists + campaign-level)
Display placement audit (exclude low-quality sites)
Invalid click rate within norms (<10%)
Broad Match only used with Smart Bidding (NEVER without it)
Brand/non-brand campaigns separated
Geographic targeting precise (no wasted international spend)

Account Structure (15% weight)

Campaign-level organization follows business logic
Ad groups themed tightly (15-20 keywords max per group)
RSA ad groups have ≥3 active ads
PMax campaigns structured correctly (asset groups, signals)
SKAGs evaluated (migrate to themed groups if present)
Campaign labels/naming conventions consistent

Keywords (15% weight)

Match type strategy appropriate (Exact → Phrase → Broad progression)
Quality Score distribution (aim ≥7 average)
Low QS keywords flagged (<5 = FAIL, 5-6 = WARNING)
Keyword cannibalization check (same keywords in multiple campaigns)
Impression share tracked for top keywords
Keyword bid adjustments set for devices/locations/audiences

Read the full file on GitHub · 128 lines

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.

2mo ago First seen · 128 lines · 74 tokens per session scan A 0b4f7e44422c

Subscribe to this mod's changes

ads-google is a skill published in the GitHub repository itsjwill/ad-audit-pro (9 stars, last pushed 8mo ago), licensed MIT. It adds 74 tokens to every session and 1,237 once invoked, about $0.0003 per session on Opus 5.5. A static security scan graded it A with 0 findings. It is 100% identical to ads-google, differing in 1 line, and is treated as a copy.

Analytics and metrics Claude Code Marketing and SEO ad-audit advertising ai-tools claude-code-skill claude-skill

ads-google next to 6 skills from other repositories
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