tiktok-ads-audit

tiktok-ads-audit is a skill for Claude Code, Codex from krillinai/growth-skills. It costs 86 tokens per session (1,782 once invoked), scanned A, original, MIT.

A read-only review of supplied international TikTok advertising evidence, including campaigns, creative, creator-authorized ads, destinations, tracking, attribution, and business outcomes.

In plain words
What is it for?
Use it to audit TikTok campaign structure, creative fatigue, Spark Ads authorization, landing pages, measurement, customer quality, economics, and performance changes.
Why use it?
It keeps paid delivery, platform-reported results, organic activity, customer outcomes, and incremental impact separate. This reduces the risk of making decisions from incomplete or mixed evidence.

Skill for Claude CodeCodex

Written for no agent in particular: nothing here depends on one.

Good fit Use it to audit TikTok campaign structure, creative fatigue, Spark Ads authorization, landing pages, measurement, customer quality, economics, and performance changes.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/krillinai/growth-skills/tiktok-ads-audit
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 krillinai/growth-skills --skill tiktok-ads-audit
Clone the repo
git clone --depth 1 https://github.com/krillinai/growth-skills

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.

agentmods badge for tiktok-ads-audit

README.md
[![agentmods](https://agentmods.dev/badge/skills/krillinai/growth-skills/tiktok-ads-audit/github.svg)](https://agentmods.dev/skills/krillinai/growth-skills/tiktok-ads-audit)
Your own site
<a href="https://agentmods.dev/skills/krillinai/growth-skills/tiktok-ads-audit"><img src="https://agentmods.dev/badge/skills/krillinai/growth-skills/tiktok-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.

agentmods 80×15 button for tiktok-ads-audit

Your own site · 80×15
<a href="https://agentmods.dev/skills/krillinai/growth-skills/tiktok-ads-audit"><img src="https://agentmods.dev/badge/skills/krillinai/growth-skills/tiktok-ads-audit.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 86 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 1,782 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 warn 7 Sept 2026
SkillSpector: 1 finding, up to high

These are SkillSpector’s own severities. On a checked sample its high-severity flags on skills were ~96% false positives — a documented command, a public API, a “never do X” rule — so we show them as a caution to read, not a verdict. Why →

  • high Privilege Escalation · line 42
    Code accesses credential files (SSH keys, AWS credentials, etc.). This could indicate credential theft attempts.
    Fix: Remove references to credential paths. Use environment variables or secrets managers. For docs, use placeholder paths (e.g., /path/to/config). Never load .env or token files in production code paths.
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 $0.00086 $0.01782
Opus 5 $0.00043 $0.00891
Sonnet 5 $0.00017 $0.00356
Haiku 4.5 $0.00009 $0.00178

Measured 9d ago against content hash fd6e860bdd87, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-12, from the pricing page.

Security

Grade A, and why

tiktok-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 9d ago.

The scan reads SKILL.md. This mod also ships 2 executable files (scripts/test_validate_input_bundle.py, scripts/validate_input_bundle.py), listed below but not scanned — reading those needs a real analyzer, not pattern matching.

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/paid-media-audit/references/modules/tiktok-ads-audit/SKILL.md · 91 lines

How it starts

The opening of the file, as written. The whole thing — 91 lines — stays where its author put it; the contents beside it link to each section on GitHub.

TikTok Ads Audit

Audit supplied international TikTok Ads evidence without logging into or changing an account. Separate creative content, paid delivery, platform attribution, organic post evidence, business outcomes, and incrementality. Return bounded findings and decision rules rather than generic creative formulas or invented targets.

Read input-contract.md before requesting or validating exports. Read analysis-methods.md for structure, delivery, creative, Spark Ads, destination, measurement, economics, and change-diagnosis methods. Apply evidence-and-boundaries.md to every claim and action. Use playbook-sources.md for the pinned Growth Playbook basis and current official TikTok references.

Select One Mode

Mode Use
intake Build or validate the canonical local bundle and identify decision-critical missing evidence
full Audit structure, delivery, creative, Spark evidence, destinations, measurement, customer quality, and economics
creative Audit concepts, hooks, variants, formats, creators, sound, captions, fatigue signals, claims, and usage rights
spark Audit supplied Spark Ads identity, post, authorization-status, rights-scope, organic, paid, and destination evidence
measurement Audit event definitions, Pixel, Events API, app or MMP evidence, attribution, reconciliation, customer definitions, and incrementality
performance Investigate a reported change without treating its timing, magnitude, or cause as verified
out-of-scope Decline Douyin/Ocean Engine use, live account access, credential handling, or external action and provide a safe handoff

Name one primary mode. A partial bundle can support a bounded creative, Spark, or measurement review; mark unsupported sections unavailable.

Fix The Platform Scope

Record TikTok Ads Manager (international) as the platform scope, then capture the decision, owner, market, dates, currency, objective, qualified outcome, destination type, comparison and maturation windows, economic boundary, constraints, and requested action.

Read the full file on GitHub · 91 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.

  1. 9d ago First seen · 91 lines · 86 tokens per session scan A fd6e860bdd87

Subscribe to this mod's changes

tiktok-ads-audit is a skill published in the GitHub repository krillinai/growth-skills (43 stars, last pushed 16d ago), licensed MIT. It adds 86 tokens to every session and 1,782 once invoked, about $0.0004 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 2026-09-03.

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