# Ads Policy Compliance

> Paid ads policy and compliance review across Google, Meta, TikTok, LinkedIn, Microsoft, Apple Ads, and YouTube. Use when the user needs ad policy checks, rejection diagnosis, regulated category review, claims review, special ad categories, finance/health/housing/employment/credit restrictions, before-and-after creative review, AI claims, landing page compliance, privacy disclosure, or pre-launch risk assessment.

- Skill: `elinking-111/ads-policy-compliance` (Agent Skill, multi-file: 2 files)
- Install (CLI): `npx skillmds@latest add elinking-111/ads-policy-compliance`
- Raw SKILL.md: https://api.skillmd.com/api/skills/elinking-111/ads-policy-compliance/raw
- Safety review: pending
- Works with: Claude Code, Claude.ai, OpenAI Codex
- Category: Coding & Dev Tools
- Author: elinking-111 (https://skillmd.com/u/elinking-111)
- Updated: 2026-09-21
- Page: https://skillmd.com/skills/elinking-111/ads-policy-compliance

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# Ads Policy Compliance

Identify likely policy risks before launch or when ads are rejected. This skill is not legal advice; distinguish platform-policy risk from legal/regulatory risk and recommend expert review for high-stakes categories.

## Workflow

1. Identify platform, country, industry, product, claims, audience, landing page, and creative format.
2. Classify risk category:
   - Housing, employment, credit, finance, healthcare, supplements, weight loss, gambling, alcohol, crypto, politics, adult, education, dating, legal, data/privacy, AI-generated content.
3. Review assets:
   - Ad copy, images, video, landing page, pricing, disclaimers, testimonials, before/after, guarantees, urgency/scarcity, sensitive attributes.
4. Check targeting restrictions:
   - Age, gender, location, lookalikes, interest targeting, retargeting, custom audiences, special ad category constraints.
5. Diagnose likely rejection reason and remediation path.
6. Produce a launch-safe version or revision brief when requested.

## Common Risk Patterns

- Claims that imply guaranteed results, income, health outcome, weight loss, credit approval, or cure.
- Personal-attribute callouts: "Are you diabetic?", "Bad credit?", "Unemployed?", "Overweight?"
- Before/after images, body closeups, or shame-based creative.
- Missing pricing, subscription, refund, or material condition disclosures.
- Landing page mismatch, broken page, thin bridge page, or aggressive popups.
- Unclear advertiser identity, privacy policy, or data collection notice.
- AI claims that overstate automation, legal/medical accuracy, or financial performance.

## Output

Use this format:

```markdown
## Policy Review

### Risk Rating
Low / Medium / High / Blocked

### Findings
| Asset | Platform | Risk | Evidence | Fix |

### Safe Rewrite
...

### Launch Checklist
...
```

If information is missing, state exactly what must be reviewed before launch.