A guide for auditing paid advertising accounts across Google, Meta, LinkedIn, TikTok, and Microsoft.

It is for collecting account data, checking each advertising platform, scoring account health, and producing prioritized actions and quick wins.

It helps find wasted spending, broken conversion tracking, weak account structure, creative problems, and compliance issues in one review.

ads-audit — Skill for Claude Code and Codex by citedy/adclaw

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 citedy/adclaw --skill ads-audit

Clone the repo

git clone --depth 1 https://github.com/citedy/adclaw

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/citedy/adclaw/ads-audit/github.svg)](https://agentmods.dev/skills/citedy/adclaw/ads-audit)

Your own site

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

Per session 69 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.

When invoked 1,033 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 92% 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	$0.00069	$0.01033
Opus 5.5	$0.00028	$0.00413
Sonnet 5.5	$0.00014	$0.00207
Haiku 4.5	$0.00007	$0.00103

Measured 2mo ago against content hash 52dde36eedc8, 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

92% identical to ads-audit — 42 lines 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.

src/adclaw/agents/skills/ads-audit/SKILL.md · 107 lines

How it starts

The opening of the file, as written. The whole thing — 107 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
Validate: confirm at least one platform's data is available before proceeding
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
Validate: verify each subagent returned valid scores with required fields before aggregating
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-shared/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 · 107 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 · 107 lines · 69 tokens per session scan A 52dde36eedc8

Subscribe to this mod's changes

ads-audit is a skill published in the GitHub repository citedy/adclaw (49 stars, last pushed 3mo ago), licensed Apache-2.0. It adds 69 tokens to every session and 1,033 once invoked, about $0.0003 per session on Opus 5.5. A static security scan graded it A with 0 findings. It is 92% identical to ads-audit, differing in 42 lines, and is treated as a copy.

Analytics and metrics Marketing and SEO agent-framework ai ai-agents ai-marketing chatbot content-generation

ads-audit next to 6 skills from other repositories
Mod	Type	Stars	Last push	Licence	Scan	Tokens	Works with
ads-auditcitedy/adclaw	Skill	49	3mo ago	Apache-2.0	A	69	Claude Code, Codex
skill-creatorHKUDS/nanobot	Skill	50k	yesterday	MIT	A	13	Claude Code, Codex
cronHKUDS/nanobot	Skill	50k	yesterday	MIT	A	8	Claude Code, Codex
tmuxHKUDS/nanobot	Skill	50k	yesterday	MIT	A	20	Claude Code, Codex
weatherHKUDS/nanobot	Skill	50k	yesterday	MIT	A	8	Claude Code, Codex
clawhubHKUDS/nanobot	Skill	50k	yesterday	MIT	A	19	Claude Code, Codex
githubHKUDS/nanobot	Skill	50k	yesterday	MIT	A	19	Claude Code, Codex