A full paid-advertising audit across Google Ads, Meta Ads, LinkedIn Ads, TikTok Ads, and Microsoft Ads. It combines specialist reviews and produces a health score for each active platform and an overall score.

Use it to analyse account exports, screenshots, or API data; identify active platforms; delegate focused checks; calculate scores; and create a prioritised action plan with quick fixes.

It gives one structured view of tracking, budgets, campaigns, creative, compliance, and performance instead of checking each advertising platform separately.

ads-audit — 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-audit

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

Your own site

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

Per session 76 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.

When invoked 1,016 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	$0.00076	$0.01016
Opus 5.5	$0.00030	$0.00406
Sonnet 5.5	$0.00015	$0.00203
Haiku 4.5	$0.00008	$0.00102

Measured 2mo ago against content hash 99e4a502f137, method: parsed. Prices are Anthropic first-party input rates as of 2026-10-07, from the pricing page.

Security

Grade A, and why

ads-audit 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-audit — 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-audit/SKILL.md · 110 lines

How it starts

The opening of the file, as written. The whole thing — 110 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Full Multi-Platform Ads Audit

Process

Collect account data — request exports, screenshots, or API access
Detect business type — analyze account signals per ads orchestrator
Identify active platforms — determine which platforms are in use
Delegate to subagents (if available, otherwise run inline sequentially):
- audit-google — Conversion tracking, wasted spend, structure, keywords, ads, settings (G01-G74)
- audit-meta — Pixel/CAPI health, creative fatigue, structure, audience (M01-M46)
- audit-creative — LinkedIn, TikTok, Microsoft creative checks + cross-platform synthesis
- audit-tracking — LinkedIn, TikTok, Microsoft tracking + cross-platform tracking health
- audit-budget — LinkedIn, TikTok, Microsoft budget/bidding + cross-platform allocation
- audit-compliance — All-platform compliance, settings, performance benchmarks
Score — calculate per-platform and aggregate Ads Health Score (0-100)
Report — generate prioritized action plan with Quick Wins

Data Collection

Ask the user for available data. Accept any combination:

Google Ads: account export, Change History, Search Terms Report
Meta Ads: Ads Manager export, Events Manager screenshot, EMQ scores
LinkedIn Ads: Campaign Manager export, Insight Tag status
TikTok Ads: Ads Manager export, Pixel/Events API status
Microsoft Ads: account export, UET tag status, import validation results

If no exports available, audit from screenshots or manual data entry.

Scoring

Read ads/references/scoring-system.md for full algorithm.

Per-Platform Weights

Platform	Category Weights
Google	Conversion 25%, Waste 20%, Structure 15%, Keywords 15%, Ads 15%, Settings 10%
Meta	Pixel/CAPI 30%, Creative 30%, Structure 20%, Audience 20%
LinkedIn	Tech 25%, Audience 25%, Creative 20%, Lead Gen 15%, Budget 15%
TikTok	Creative 30%, Tech 25%, Bidding 20%, Structure 15%, Performance 10%
Microsoft	Tech 25%, Syndication 20%, Structure 20%, Creative 20%, Settings 15%

Read the full file on GitHub · 110 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 · 110 lines · 76 tokens per session scan A 99e4a502f137

Subscribe to this mod's changes

ads-audit is a skill published in the GitHub repository itsjwill/ad-audit-pro (9 stars, last pushed 8mo ago), licensed MIT. It adds 76 tokens to every session and 1,016 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-audit, 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-audit next to 6 skills from other repositories
Mod	Type	Stars	Last push	Licence	Scan	Tokens	Works with
ads-audititsjwill/ad-audit-pro	Skill	9	8mo ago	MIT	A	76	Claude Code, Codex
reddit-intelcarrielabs/reddit-intel	Skill	2	6mo ago	none	A	81	Claude Code, Codex
procure-to-pay-advisorVincentChuWaiChow/vanguard-frontier-agentic	Skill	24	2d ago	Apache-2.0	A	32	Claude Code
alibaba-maestroVincentChuWaiChow/vanguard-frontier-agentic	Skill	24	2d ago	Apache-2.0	A	100	Claude Code
azure-maestroVincentChuWaiChow/vanguard-frontier-agentic	Skill	24	2d ago	Apache-2.0	A	70	Claude Code
accounting-maestroVincentChuWaiChow/vanguard-frontier-agentic	Skill	24	2d ago	Apache-2.0	A	93	Claude Code
model-registry-refreshVincentChuWaiChow/vanguard-frontier-agentic	Skill	24	2d ago	Apache-2.0	A	79	Claude Code