Ad Policy Check logo

Ad Policy Check

OrganizationPopular
gooseworks-ai
ad-policy-check

Checks paid ads against the ad platform's rules (Meta, TikTok, Google, LinkedIn and others) and the brand's category rules: the copy, on-image or on-screen text, pictures and people. Rewrites what can be fixed honestly, adds the disclosures that are needed, and flags anything that needs a human or legal review, with one pass, fixed or flag line per ad and platform. Use alone when you already have the ad text or images and know where they will run; otherwise run the playbook for the job (e.g. make-static-ads, make-content, email-lifecycle).

Overview

Publishergooseworks-ai
Repositorygoose-skills
Skill namead-policy-check
Stars
1.3K
Forks
219
Bundled files
2
LicenseMIT
Links
  • Markdown instructions

    A SKILL.md file the model loads on demand, so it only costs tokens when a request actually matches.

  • Works with any LLM

    AI skills are plain Markdown, not provider-specific code, so this works with GPT, Claude, Gemini, Grok, or a local model.

  • 2 bundled files

    Scripts, templates, and references the model can read while it works. Files are read-only and never executed.

  • Open source

    Published by gooseworks-ai on GitHub. Read the source before you install it.

Installation

Install the Ad Policy Check AI skill in TypingMind to use it with any LLM, or drop it into another agent that reads SKILL.md.

1

Install in TypingMind

TypingMind installs a skill straight from its GitHub folder — it reads SKILL.md, bundles the resource files, and stores the result locally.

  1. Open the app and go to Plugins → Skills.
  2. Choose "Install from GitHub".
  3. Paste the skill folder URL below and confirm.
    https://github.com/gooseworks-ai/goose-skills/tree/main/skills/marketing/ad-policy-check
  4. Enable the skill in any chat where you want it available.
Plugins → Skills → Add skill → From GitHub URL, then paste the folder URL and press Continue.
2

Install in another agent

Any agent that reads the Agent Skills format can use this skill — copy the folder into that agent's skills directory.

Claude Code — .claude/skills
git clone --depth 1 https://github.com/gooseworks-ai/goose-skills.git /tmp/goose-skills
mkdir -p .claude/skills
cp -r /tmp/goose-skills/skills/marketing/ad-policy-check .claude/skills/ad-policy-check
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Ad Policy Check in any TypingMind chat and the model takes it from there. Its name and description sit in the system prompt, and the moment a request matches, the model loads the full instructions itself — you never invoke it by hand, and it costs no tokens until it is actually used.

The model loads Ad Policy Check on its own as soon as a request matches it.

Works with any AI model

AI skills are plain Markdown instructions rather than provider-specific code, so Ad Policy Check is not tied to the model it was written for. Install it once in TypingMind and use it with GPT-5, Claude, Gemini, Grok, DeepSeek, Mistral, Llama, or a local model you run yourself — all on your own API keys.

  • Loaded only when it is needed

    The system prompt carries just the name and description. The instructions are fetched on the first matching request, so an idle skill costs nothing.

  • Switch models mid-chat

    Because the skill is instructions rather than code, changing model does not break it — the next model reads the same SKILL.md.

Skill instructions

This is the SKILL.md content the model loads. Read it before installing — a skill is instructions your model will follow.

ad-policy-check

Used by: make-static-ads (paid ads) and run-paid-campaigns (creative it checks at launch). Organic, email and creator content: load disclosure.md instead (or as well, when a paid ad uses a creator).

Craft knowledge, not legal advice. Policies change: when a rule decides whether an ad ships, tell the human to confirm it on the platform's live policy page. Claims are a separate check (the claims-gate skill, ../claims-gate/SKILL.md); run that first — a line cut there is not reworded here.

Reads: the ad's planned or rendered text (copy, on-image or on-screen words, end cards, captions), what the picture shows, the people in it, the platforms and placements from the brief, the brand's category, and the brand's dont / must learnings (past disapprovals). Writes: one policy line per ad and platform, and any set-level flag.

1. Category first

Regulated (health, supplements, food with health, nutrition or free-from claims, cosmetics with efficacy language, alcohol, cannabis/CBD, tobacco/vape, financial products, crypto, weight loss, kids' products, regulated professions, gambling, dating, political) or a special ad category on Meta (housing, employment, credit, social issues)?

  • No brand rule on file for it → flag the whole set "needs legal review before launch".
  • A special ad category → write it in the hand-off so whoever launches sets the flag; copy may not target protected traits.
  • Gambling, dating, political → most platforms need pre-authorisation: flag and stop.
  • Market matters (melatonin is prescription-only in the UK and Australia; the EU allows only authorised health-claim wordings; Canada needs licensed claims) — know the market before writing.
CategoryRule of thumb
Health, supplementsStructure/function wording only with substantiation ("supports restful sleep"); never disease language ("treats", "cures", "for insomnia", "anxiety relief")
Cosmetics with efficacy"Treats acne", "heals", "boosts collagen" are drug-like; approved wording only
Alcohol, cannabis/CBD, tobacco/vapeAge-gated; often banned or pre-approved; no health benefits
Financial products, cryptoCertification, risk disclosures, no guaranteed returns
Weight lossNo before/after, no time-bound promises; banned on Pinterest
Kids' productsNo direct appeals to children; no children in melatonin ads, no "candy"/"treat"
Regulated professionsLocal rules (e.g. no patient testimonials for some medical services)

2. Per ad, per platform

Meta (Facebook, Instagram)

  • Personal attributes: no assertion or implication that the viewer has a trait — health condition, body, age, finances, religion, orientation, ethnicity. "Struggling with your acne?", "Can't sleep?" → rejected. Situational ("11am, and skin already feels tight") and identity-by-behaviour ("for people who rehearse conversations in bed") pass. First person passes the platform rule but, from a generated person, must also pass the speaker test of the maker playbook.
  • Body image and before/after: nothing that makes people feel bad about their body; no before/after for weight loss; for beauty and health treat it as needing the human's OK — same conditions, no retouch, typical result; prefer old-vs-new routines, never faces or bodies.
  • Misleading and sensational: no fake play buttons, close-X, notification badges, fake DMs; no shocking imagery.
  • Branded content: a real creator's face or name needs their permission and the paid-partnership label.
  • Text-heavy images get less delivery — keep image words short: a hook and at most one proof line (a number, rating or claim), whatever slots the layout has. Other slots carry a few plain words each (list items of 2–4 words, labels).

TikTok — stricter on supplements, weight management and "too good to be true" results, varies by market; no exaggerated before/after; must not imitate organic UI (fake "For You" chrome, fake like counts). Music: only TikTok's Commercial Music Library or generated/licensed music.

Google (Display, Demand Gen, Shopping, Performance Max) — misrepresentation (unclear pricing, missing terms, unavailable offers), healthcare and finance certification, trademarks in text; no gimmicky caps or symbols; Shopping/PMax product images carry no promotional text, watermark or border; image text and logos kept under about a fifth of the image.

LinkedIn — professional claims need the customer and the study behind them; no sensational images; no targeting language on protected traits.

Pinterest, Snapchat, X, Reddit — the same core rules; Pinterest bans weight-loss ads; Reddit punishes ads that pose as user posts.

Every platform

  • Third-party trademarks and likenesses: no rival logos or celebrity lookalikes without permission; integration names in plain words only when true.
  • Music: generated or licensed only — never "the song from the reference" or a sound-alike.
  • Realistic generated people or voices: plan the platform's AI label (Meta "AI info", TikTok AIGC, YouTube altered/synthetic) in the launch notes.

3. Disclosures on the asset

  • Offer terms that change the meaning ("Free shipping on orders $45+", not "Free shipping"); an end date on any time-limited offer.
  • Material connection: paid creator, gifted product, affiliate → "Paid partnership" / "#ad".
  • Required category disclaimers when the brand's rules say so (e.g. a supplement statement).
  • A disclaimer never rescues an unsubstantiated outcome claim and never cures a fake testimonial — cut the claim instead.

4. Fix honestly

Rewrite the phrasing to the rule (situation framing instead of "you have…"), remove the fake element, add the disclosure. Never disguise a violation to get past review.

Disapproval fix: map the platform's stated reason to the exact line or element (it may be the ad's text, not the image or video); fix that; re-run the claims check and this check; offer to save the lesson as a brand rule through the save-learning skill (../save-learning/SKILL.md) (only with the human's own words).

5. Report

Per ad: pass (Meta, TikTok) · fixed (what, why) · flag (risk, rule, decision needed). Never "pass" a rule you could not check — say "not checked: , ". In chat, plain words ("rewritten for Meta's rule on personal traits"); rule names stay in the hand-off file.

Bundled files

The model reads these on demand while the skill is loaded. They are exposed as readable files and are never executed.

Frequently asked questions

What does the Ad Policy Check AI skill do?

Checks paid ads against the ad platform's rules (Meta, TikTok, Google, LinkedIn and others) and the brand's category rules: the copy, on-image or on-screen text, pictures and people. Rewrites what can be fixed honestly, adds the disclosures that are needed, and flags anything that needs a human or legal review, with one pass, fixed or flag line per ad and platform. Use alone when you already have the ad text or images and know where they will run; otherwise run the playbook for the job (e.g. make-static-ads, make-content, email-lifecycle).

Why use Ad Policy Check on TypingMind?

Because you install it once and use it with any model. Ad Policy Check is plain Markdown rather than provider-specific code, so the same skill runs on GPT-5, Claude, Gemini, Grok, or a local model — and you can switch model mid-chat without it breaking. TypingMind runs on your own API keys, so you pay providers directly instead of a per-seat subscription, and your skills and chats stay in your own storage.

How do I install Ad Policy Check in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/gooseworks-ai/goose-skills/tree/main/skills/marketing/ad-policy-check. TypingMind reads its SKILL.md and bundles its files and installs it as a skill you can enable per chat.

Which AI models can use Ad Policy Check?

Any model you connect in TypingMind. AI skills are plain Markdown instructions rather than provider-specific code, so GPT, Claude, Gemini, Grok, and local models can all load this skill when a request matches it.

How many AI models can I use with Ad Policy Check?

As many as you like. As long as a model supports skills, you can use Ad Policy Check with it — GPT, Claude, Gemini, Grok, DeepSeek, Mistral, Llama and more — all on TypingMind with your own API keys.

Is the Ad Policy Check AI skill free?

Yes. It is published on GitHub by gooseworks-ai under the MIT license. You only pay your own AI provider for the tokens you use.

What are AI skills?

An AI skill is a reusable instruction bundle that teaches an AI model how to do one specific task. It follows the open Agent Skills format: a SKILL.md file with a name and description, plus any scripts, templates or reference files the model may need. The model reads the instructions only when your request matches the skill, so an installed skill costs nothing until it is used.

How are AI skills different from plugins or MCP servers?

A plugin or MCP server gives a model new tools to call — code that runs somewhere and returns a result. An AI skill gives the model knowledge and process instead: how to approach a task, which steps to follow, what good output looks like. Skills are plain Markdown, so they need no server, no API key and no runtime, and they work with any model.

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