21-ads-audit-global

21-ads-audit-global is a skill for Claude Code from minhnv0807/ai-business-skills. It costs 157 tokens per session (5,458 once invoked), scanned A, original, MIT.

A structured setup review for Meta, Google, and TikTok advertising accounts, covering account structure, campaigns, tracking, creative, and optimization.

In plain words
What is it for?
Use it to score account health, investigate tracking errors or falling results, review an inherited account, prepare for higher spending, and create a short action plan.
Why use it?
It finds configuration problems and missing foundations that can waste budget or make performance data unreliable, then ranks fixes by priority.

Skill for Claude Code

Written for Claude Code: shipped in a Claude Code plugin. Also seen: positional $N argument.

Part of the ai-business-skills plugin — 144 skills, 6 agents, 10 MCP servers shipped together

Good fit Use it to score account health, investigate tracking errors or falling results, review an inherited account, prepare for higher spending, and create a short action plan.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/minhnv0807/ai-business-skills/21-ads-audit-global
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 minhnv0807/ai-business-skills --skill 21-ads-audit-global
Clone the repo
git clone --depth 1 https://github.com/minhnv0807/ai-business-skills

Made for: Claude Code.

Or install ai-business-skills, the plugin that ships this one along with the rest of its 144 skills, 6 agents, 10 MCP servers.

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 21-ads-audit-global

README.md
[![agentmods](https://agentmods.dev/badge/skills/minhnv0807/ai-business-skills/21-ads-audit-global/github.svg)](https://agentmods.dev/skills/minhnv0807/ai-business-skills/21-ads-audit-global)
Your own site
<a href="https://agentmods.dev/skills/minhnv0807/ai-business-skills/21-ads-audit-global"><img src="https://agentmods.dev/badge/skills/minhnv0807/ai-business-skills/21-ads-audit-global/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 21-ads-audit-global

Your own site · 80×15
<a href="https://agentmods.dev/skills/minhnv0807/ai-business-skills/21-ads-audit-global"><img src="https://agentmods.dev/badge/skills/minhnv0807/ai-business-skills/21-ads-audit-global.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 157 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 5,458 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.

ModelPer sessionOnce invoked
Fable 5.1 $0.00157 $0.05458
Opus 5 $0.00078 $0.02729
Sonnet 5 $0.00031 $0.01092
Haiku 4.5 $0.00016 $0.00546

Measured 13d ago against content hash 86dce4430a00, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-12, from the pricing page.

Security

Grade A, and why

21-ads-audit-global 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 13d 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.

skills/en/21-ads-audit-global/SKILL.md · 480 lines

How it starts

The opening of the file, as written. The whole thing — 480 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Ads Audit (Global) — Health Score & Action Plan

Difference from 03-performance-eval-global:

  • 03 evaluates current performance (CPM, ROAS, funnel) — diagnoses symptoms.
  • 21 audits account configuration (setup, structure, tracking, creative) — scores 0-100 and finds systemic issues.

Insight before numbers. Lead with judgment; illustrate with metrics.


For Newbies — Start Here

What is an ads audit? A structured review of your ad accounts (Meta, Google, TikTok) to find leaks, misconfigurations, and missed opportunities. The output is a Health Score (0-100), a list of Quick Wins, and a 7-day Action Plan.

When do you need one?

  • ROAS dropped suddenly (>20% week-over-week).
  • New account inherited from another agency or in-house team.
  • Spending >$5K/month with no clear performance review process.
  • Pixel/CAPI showed errors or duplicate events.
  • About to scale spend by 2-3x and want to verify foundation.
  • Dropshipping store with attribution confusion (Shopify vs Meta vs Triple Whale numbers don't match).

What you'll need before starting:

  1. Read access to ad accounts (or screen-share / data export).
  2. Last 30 days of spend, impressions, clicks, conversions, ROAS.
  3. Pixel/CAPI status (Events Manager, GA4, TikTok Events).
  4. Region context (US, EU, SEA, LATAM) — benchmarks differ widely.
  5. Business model (DTC e-com, B2B SaaS, lead gen, dropshipping) — optimization rules differ.

How long does it take?

  • Quick audit: 2-3 hours (Health Score + Quick Wins).
  • Full audit: 6-10 hours (Health Score + 84 checkpoints + 7-day plan + creative review).

Step 0 — Read Context + Select Region Variant

Before audit, pull two contexts:

  1. Product context — call product-marketing-context-global if not already in conversation. This gives the auditor: pricing, target CAC, business model, current channels.
  2. Region variant — load the appropriate file:
Region File Currency Key benchmarks
US / North America variants/01-us.md USD Meta CPM $7-12, Google CPC $1-3, ROAS 3-5x
EU / UK variants/02-eu.md EUR / GBP Meta CPM €5-10, Google CPC €1-3, ROAS 3-4x
SEA (VN, TH, ID, PH, SG, MY) variants/03-sea.md USD-equivalent Meta CPM $1-2, Google CPC $0.30-1, ROAS 2-3x
LATAM (BR, MX, AR, CO, CL) variants/04-latam.md USD-equivalent Meta CPM $0.50-1.5, Google CPC $0.20-0.80, ROAS 2-3x

Read the full file on GitHub · 480 lines

Files

What ships with it

4 files beside SKILL.md in the same directory: the scripts, references and assets a skill reads on demand. Not counted in the per-session cost; read them before you install if any of them is executable.

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. 13d ago First seen · 480 lines · 157 tokens per session scan A 86dce4430a00

Subscribe to this mod's changes

21-ads-audit-global is a skill published in the GitHub repository minhnv0807/ai-business-skills (572 stars, last pushed 26d ago), licensed MIT. It adds 157 tokens to every session and 5,458 once invoked, about $0.0008 per session on Opus 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.