A checklist and analysis process for TikTok advertising, covering videos, tracking, bidding, campaign setup, and TikTok Shop.

Use it to review TikTok campaigns, Pixel or Events API setup, vertical ad videos, Spark Ads, Smart+ campaigns, shopping ads, captions, audio, and calls to action.

It helps find problems such as weak creative, missing tracking, incorrect video dimensions, poor safe-zone placement, or unsuitable campaign settings.

ads-tiktok — 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-tiktok

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

Your own site

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

Per session 78 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.

When invoked 1,683 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	$0.00078	$0.01683
Opus 5.5	$0.00031	$0.00673
Sonnet 5.5	$0.00016	$0.00337
Haiku 4.5	$0.00008	$0.00168

Measured 2mo ago against content hash 318cca8580b8, method: parsed. Prices are Anthropic first-party input rates as of 2026-10-07, from the pricing page.

Security

Grade A, and why

ads-tiktok 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-tiktok — 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-tiktok/SKILL.md · 163 lines

How it starts

The opening of the file, as written. The whole thing — 163 lines — stays where its author put it; the contents beside it link to each section on GitHub.

TikTok Ads Deep Analysis

Process

Collect TikTok Ads data (Ads Manager export, Pixel/Events API status)
Read ads/references/tiktok-audit.md for full 25-check audit
Read ads/references/benchmarks.md for TikTok-specific benchmarks
Read ads/references/platform-specs.md for creative specifications
Read ads/references/scoring-system.md for weighted scoring algorithm
Evaluate all applicable checks as PASS, WARNING, or FAIL
Calculate TikTok Ads Health Score (0-100)
Generate findings report with action plan

What to Analyze

Creative Quality (30% weight)

≥6 creatives per ad group (T05) — Critical
All video 9:16 vertical 1080x1920 (T06) — Critical
Native-looking content, not corporate/polished (T07)
Hook in first 1-2 seconds (T08)
No creative active >7 days with declining CTR (T09)
Spark Ads tested: ~3% CTR vs ~2% standard (T10)
TikTok Shop integration for e-commerce (T20)
Video Shopping Ads tested (T21)
Caption SEO with high-intent keywords (T22)
Trending audio used (sound-on platform) (T23)
Custom CTA button, not default (T24)
Safe zone compliance: X:40-940, Y:150-1470 (T25)

Technical Setup (25% weight)

TikTok Pixel installed and firing on all pages (T01)
Events API + ttclid passback active (T02)
Standard events configured (ViewContent, AddToCart, Purchase, CompleteRegistration)
Advanced matching parameters configured

Bidding & Budget (20% weight)

Bid strategy matches goal: Lowest Cost for volume, Cost Cap for efficiency (T11)
Daily budget ≥50x target CPA per ad group (T12)
Learning phase: ≥50 conversions per 7 days per ad group (T13)
No edits during learning phase (resets learning)

Structure & Settings (15% weight)

Separate campaigns for prospecting vs retargeting (T03)
Smart+ campaigns tested: 42% adoption, 1.41-1.67 ROAS (T04)
Search Ads Toggle enabled (T14)
Placement selection reviewed: TikTok, Pangle, etc. (T15)
Dayparting aligned with audience activity (T16)

Read the full file on GitHub · 163 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 · 163 lines · 78 tokens per session scan A 318cca8580b8

Subscribe to this mod's changes

ads-tiktok is a skill published in the GitHub repository itsjwill/ad-audit-pro (9 stars, last pushed 8mo ago), licensed MIT. It adds 78 tokens to every session and 1,683 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-tiktok, 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-tiktok next to 6 skills from other repositories
Mod	Type	Stars	Last push	Licence	Scan	Tokens	Works with
ads-tiktokitsjwill/ad-audit-pro	Skill	9	8mo ago	MIT	A	78	Claude Code, Codex
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