21-audit-ads-performance

21-audit-ads-performance is a skill for Claude Code from minhnv0807/ai-business-skills. It costs 238 tokens per session (7,632 once invoked), scanned A, original, MIT.

An advertising-account audit guide that checks the setup of campaigns, ad groups, creative, landing pages, and tracking, then produces a health score and action list.

In plain words
What is it for?
It helps review Meta, TikTok, Google, and Zalo advertising accounts, identify quick fixes, and prioritise setup improvements.
Why use it?
It helps find structural and tracking problems that may make advertising perform poorly or make results hard to trust.

Skill for Claude Code

Written for Claude Code: argument-hint in frontmatter.

Part of the ai-business-skills plugin — 146 skills, 6 agents, 10 MCP servers shipped together

Good fit It helps review Meta, TikTok, Google, and Zalo advertising accounts, identify quick fixes, and prioritise setup improvements.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/minhnv0807/ai-business-skills/21-audit-ads-performance
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-audit-ads-performance
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 146 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-audit-ads-performance

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

Your own site · 80×15
<a href="https://agentmods.dev/skills/minhnv0807/ai-business-skills/21-audit-ads-performance"><img src="https://agentmods.dev/badge/skills/minhnv0807/ai-business-skills/21-audit-ads-performance.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 238 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 7,632 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 $0.00238 $0.07632
Opus 5.5 $0.00095 $0.03053
Sonnet 5.5 $0.00048 $0.01526
Haiku 4.5 $0.00024 $0.00763

Measured 2d ago against content hash 1315390351d3, method: parsed. Prices are Anthropic first-party input rates as of 2026-10-07, from the pricing page.

Security

Grade A, and why

21-audit-ads-performance 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 2d 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/vi/21-audit-ads-performance/SKILL.md · 453 lines

How it starts

The opening of the file, as written. The whole thing — 453 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Audit Ads Performance — Health Score theo do phu & Action Plan

Quy tac van hanh chung: skills/vi/references/quy-tac-van-hanh.md (dac biet quy tac 2, 3, 7).

Skill nay khac 03-danh-gia-hieu-suat o cho:

  • 03 = So xau tuan nay, vi sao CPA tang dot ngot — chan doan trieu chung
  • 21 = Audit cau hinh tai khoan (setup, cau truc, tracking, creative) — cham Health Score theo do phu va tim loi he thong
  • Quang cao noi san (GMV Max, Shopee Ads, Lazada) → 76-van-hanh-san-tmdt

Thu thap thong tin

Doc .agents/product-marketing-context.md truoc (quy tac 1): CPA muc tieu (tu 10-tinh-kpi-nguoc), AOV, bien dong gop truoc ads, noi chot don (web / san TMDT / inbox). Chi hoi phan con thieu, toi da 4 cau:

  1. Nen tang can audit? Meta Ads / TikTok Ads / Google Ads / Zalo Ads / Tat ca?
  2. Nganh, muc tieu chinh va noi chot don? (Spa, F&B, BDS, E-com... + CPMess / ROAS / Lead / Don hang; chot tren web, san hay inbox)
  3. Ngan sach/thang, AOV va bien dong gop truoc ads? (De tinh diem hoa von va ty trong ngan sach tung nen tang)
  4. Co the cung cap data? (Export 30 ngay tu Ads Manager: Spend, CPM, CPC, CTR, Conversion, CPMess, ROAS; Google them search terms report)

Export thieu cot nao → cac check can cot do la unknown, khong phai fail (quy tac 3).

Auto-pull data qua MCP (neu co ket noi)

Reference: skills/vi/references/mcp-ads-integration.md — huong dan setup day du. Meta Official MCP [DA KIEM 2026-10, open beta tu 2026-04-29]: endpoint https://mcp.facebook.com/ads, ket noi qua giao dien connector cua client; liet ke tool luc ket noi (so tool doi lien tuc, khong ghi cung). MCP nay co quyen ghi → audit chay o che do chi doc; moi lenh ghi phai qua muc "De xuat thay doi" ben duoi.

Nen tang MCP Quyen Dung cho audit
Meta Ads Meta Official MCP (mcp.facebook.com/ads) Doc + ghi Insights, entities, dataset/tracking quality — liet ke tool luc ket noi
Meta Ads (alt) Pipeboard (cong dong) Mac dinh chi doc Insights, targeting research — liet ke tool luc ket noi
Google Ads Google Official MCP Chi doc search voi GAQL query
TikTok Ads AdsMCP/tiktok-ads-mcp-server (cong dong) Mac dinh chi doc Performance report
Cross-platform Adspirer ads-mcp (cong dong) Mac dinh chi doc Bao cao hop nhat — liet ke tool luc ket noi

Read the full file on GitHub · 453 lines

Files

What ships with it

2 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. 2d ago Changed · +37 lines · +70 tokens per session 1315390351d3
  2. 1mo ago First seen · 416 lines · 168 tokens per session scan A ae46597e130b

Subscribe to this mod's changes

21-audit-ads-performance is a skill published in the GitHub repository minhnv0807/ai-business-skills (638 stars, last pushed yesterday), licensed MIT. It adds 238 tokens to every session and 7,632 once invoked, about $0.0010 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 2026-09-03.