A full review process for paid advertising accounts across Google, Meta, LinkedIn, TikTok, and Microsoft. It checks tracking, spending, structure, audiences, ads, settings, compliance, and performance.

Use it with exports, screenshots, or account access to identify active platforms, assess each one, calculate platform and combined health scores, and produce a prioritised action plan.

It helps locate account problems across several advertising platforms and shows which issues should be addressed first.

ads-audit — Skill for Claude Code by naveedharri/benai-skills

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 naveedharri/benai-skills --skill ads-audit

Clone the repo

git clone --depth 1 https://github.com/naveedharri/benai-skills

Made for: Claude Code.

Or install ads, the plugin that ships this one along with the rest of its 14 skills.

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/naveedharri/benai-skills/ads-audit/github.svg)](https://agentmods.dev/skills/naveedharri/benai-skills/ads-audit)

Your own site

<a href="https://agentmods.dev/skills/naveedharri/benai-skills/ads-audit"><img src="https://agentmods.dev/badge/skills/naveedharri/benai-skills/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/naveedharri/benai-skills/ads-audit"><img src="https://agentmods.dev/badge/skills/naveedharri/benai-skills/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 1,024 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. Third-party audits

NVIDIA SkillSpector pass 7 Sept 2026

How audits are shown

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.

Model	Per session	Once invoked
Fable 5.1	$0.00076	$0.01024
Opus 5.5	$0.00030	$0.00410
Sonnet 5.5	$0.00015	$0.00205
Haiku 4.5	$0.00008	$0.00102

Measured 1mo ago against content hash eb002fc24ff4, 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 1mo 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

Copies of this mod

2 near-identical copies found in the catalogue:

ads-audit — 100% identical, 1 lines differ
ads-audit — 92% identical, 42 lines differ

plugins/ads/skills/ads-audit/SKILL.md · 111 lines

How it starts

The opening of the file, as written. The whole thing — 111 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 · 111 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.

1mo ago Changed · +1 lines eb002fc24ff4
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 naveedharri/benai-skills (78 stars, last pushed 28d ago), licensed MIT. It adds 76 tokens to every session and 1,024 once invoked, about $0.0003 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 2026-08-30.

Analytics and metrics Claude Code Marketing and SEO agent-skills ai anthropic claude claude-plugins

ads-audit next to 6 skills from other repositories
Mod	Type	Stars	Last push	Licence	Scan	Tokens	Works with
ads-auditnaveedharri/benai-skills	Skill	78	28d ago	MIT	A	76	Claude Code
projectmodu-ai/moai-cowork	Skill	315	29d ago	Apache-2.0	A	475	Claude Code
doc-html-slidemodu-ai/moai-cowork	Skill	315	29d ago	Apache-2.0	A	438	Claude Code
cs-channel-messagemodu-ai/moai-cowork	Skill	315	29d ago	Apache-2.0	A	465	Claude Code
media-higgsfield-explainermodu-ai/moai-cowork	Skill	315	29d ago	Apache-2.0	A	244	Claude Code
media-gpt-image-promptmodu-ai/moai-cowork	Skill	315	29d ago	Apache-2.0	A	334	Claude Code
career-portfoliomodu-ai/moai-cowork	Skill	315	29d ago	Apache-2.0	A	124	Claude Code