douyin-ads-audit

douyin-ads-audit is a skill for Claude Code, Codex from krillinai/growth-skills. It costs 88 tokens per session (1,907 once invoked), scanned A, original, MIT.

A read-only audit of supplied Douyin advertising evidence from China-focused systems such as Ocean Engine, Qianchuan, and DOU+. It keeps advertising, organic content, shops, livestreams, platform attribution, and business outcomes distinct.

In plain words
What is it for?
Use it to review Douyin campaign structure, creative, creator authorization, commerce, destinations, measurement, attribution, customer quality, economics, and performance changes.
Why use it?
It prevents international TikTok assumptions from being applied to different Douyin advertising and commerce surfaces. Findings stay within the evidence provided.

Skill for Claude CodeCodex

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

Good fit Use it to review Douyin campaign structure, creative, creator authorization, commerce, destinations, measurement, attribution, customer quality, economics, and performance changes.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/krillinai/growth-skills/douyin-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 douyin-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 douyin-ads-audit

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

Your own site · 80×15
<a href="https://agentmods.dev/skills/krillinai/growth-skills/douyin-ads-audit"><img src="https://agentmods.dev/badge/skills/krillinai/growth-skills/douyin-ads-audit.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 88 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 1,907 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 $0.00088 $0.01907
Opus 5 $0.00044 $0.00954
Sonnet 5 $0.00018 $0.00381
Haiku 4.5 $0.00009 $0.00191

Measured 9d ago against content hash 44226d9d793a, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-12, from the pricing page.

Security

Grade A, and why

douyin-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/douyin-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.

Douyin Ads Audit

Audit supplied Douyin advertising evidence without logging into or changing an account. Separate Ocean Engine, Qianchuan, DOU+, Xingtu, organic Douyin, shop or livestream operations, platform attribution, and business outcomes. Return bounded findings and decision rules instead of importing international TikTok practices or inventing platform targets.

Read input-contract.md before requesting or validating exports. Read analysis-methods.md for platform-surface, delivery, creative, creator-rights, commerce, 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 China platform 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, destinations, measurement, customer quality, and economics across explicitly separated surfaces
creative Audit concepts, hooks, variants, formats, accounts, creators, livestream or product context, claims, fatigue signals, and rights
commerce Audit supplied Qianchuan product or livestream delivery, attributed orders or GMV, refunds, commissions, fulfillment, contribution, and retained value
measurement Audit conversion definitions, web, app, lead, shop or offline 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 international TikTok use, live account access, credential or authorization-code handling, personal lead data, or external action

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

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 · 88 tokens per session scan A 44226d9d793a

Subscribe to this mod's changes

douyin-ads-audit is a skill published in the GitHub repository krillinai/growth-skills (43 stars, last pushed 16d ago), licensed MIT. It adds 88 tokens to every session and 1,907 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.

Related

Other skills, from other repositories

systematic-debugging

Use when encountering any bug, test failure, or unexpected behavior, before proposing fixes.

obra/superpowers · 21 tokens

local-ai-agents

Build local-first AI agents that run entirely on a developer workstation with Microsoft Foundry Local and Qwen function-calling models. Covers Small Language Models (SLMs), the OpenAI-compatible local endpoint, sandboxed local tools, local RAG with Chroma, local MCP servers, hybrid cloud/local routing, and the…

microsoft/ai-agents-for-beginners · 200 tokens

next-cache-components-adoption

Turn on Cache Components in a Next.js app and resolve the blocking routes it surfaces. Use when the user wants to enable, adopt, or migrate to Cache Components, flip the cacheComponents flag, work through a flood of blocking-prerender / instant validation errors, run the cache-components-instant-false codemod, or…

vercel/next.js · 95 tokens

chat-pet-sprite-creation

Use when creating or changing VS Code chat pet sprite art, sprite sheets, state animations, eye treatments, Stable/Insiders variants, or pet transitions under src/vs/workbench/contrib/chat/browser/widget/media/chatPet.

microsoft/vscode · 53 tokens

cpu-profile-analysis

Analyze V8/Chrome CPU profiles (.cpuprofile) and DevTools trace files (Trace-.json). Use when: profiling performance, investigating slow functions, comparing code paths, finding bottlenecks, analyzing timeToRequest, understanding call trees from sampling profiler data, analyzing layout/paint/rendering, investigating…

microsoft/vscode · 71 tokens

insight-error-page

Write or audit an insight-kind error page for the Next.js dev overlay. Use when creating a new errors/ .mdx page, auditing an existing one, or checking that a page matches the framework fix cards. Covers page structure, title alignment, FixCard cards with Copy prompt button, code snippets, terminology verification…

vercel/next.js · 83 tokens