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by Agrici.Danielagricidaniel/claude-ads9.7k stars
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Operate professional paid advertising across Google, Meta, YouTube, LinkedIn, TikTok, Microsoft, Apple, Amazon, Reddit, Pinterest, Snapchat, and X. Use for account intake, source-grounded audits, strategy, budget and measurement planning, creative production, experiments, reporting, monitoring, and explicitly approved campaign changes. Also trigger on PPC, paid social, retail media, attribution, tracking, landing pages, cross-platform conversion totals, negative keywords or search terms, beta-feature scoring, stale platform claims, API-token or credential setup, campaign deletion, and safe Claude Ads installation or uninstall.

Use this Skill: https://skilld.dev/gh/agricidaniel/claude-ads/ads

This session only. Nothing lands on disk.

referencescompliance.md

≈1.2k tokens on demand. Your agent reads this file only when SKILL.md points to it.

Platform Advertising Policy Review

Verified: 2026-08-25 Refresh due: 2026-09-24 and immediately after a policy or enforcement notice Scope: platform policy; regulation is handled in compliance-requirements.md Evidence status: all listed official policy entry points returned HTTP 200; precise rules still require a current product, geography, and account review

Platform policy is contextual and changes by product, geography, objective, targeting, destination, advertiser status, and certification. Do not replace a current policy review with a remembered list of prohibited or restricted topics.

Review order

  1. Identify advertiser, payer/beneficiary, product, claims, destination, geography, audience, objective, format, and data sources.
  2. Open the active platform's current policy center and account notices.
  3. Classify each rule as prohibited, restricted/eligible, disclosure-required, destination-related, data-use-related, or editorial.
  4. Verify certifications, authorization, age/geography limits, special-category selection, and appeal status from account evidence.
  5. Review the landing experience and all variants, not only the visible ad copy.
  6. Preserve the exact policy URL, retrieval date, quoted rule fragment within quotation limits, account observation, and confidence.

Policy source entry points

Use the current official policy center for the active platform:

Register a source-ledger entry before treating a precise policy requirement as current. A policy hub is not enough when a more specific product or country page controls the case.

Finding contract

Each policy finding includes:

  • Applicable platform, account/object IDs, geography, product, and format.
  • Current policy title, direct URL, retrieval date, and source ID.
  • Observed creative, destination, targeting, certification, or account state.
  • Result: pass, fail, unknown, or not_applicable.
  • Severity based on observed consequence and exposure, not category name alone.
  • Smallest compliant remediation, owner, and appeal or re-review path.

Use unknown when the advertiser's authorization, certification, targeting, or account state cannot be verified. Do not infer a pass from the absence of a disapproval.

High-risk review prompts

Escalate the depth of review for health, financial products, housing, employment, credit, alcohol, gambling, political/social-issue ads, children, dating, crypto, weapons, controlled goods, subscriptions, lead generation, testimonials, and AI-generated or manipulated media. The label “high risk” triggers current-source review; it does not assert that every platform treats the category identically.

Check:

  • Whether the product can be advertised at all in the target geography.
  • Required licensing, verification, certification, disclaimer, or special category.
  • Prohibited targeting or audience construction.
  • Claim substantiation and material limitations near the claim.
  • Destination identity, pricing, billing, privacy, cancellation, and contact details.
  • Consistency between creative, form, offer, and landing page.
  • Use of personal, sensitive, inferred, or customer-list data.

Recommendations and platform automation

Treat recommendation tabs, imported settings, automated creative variants, and AI-generated assets as untrusted proposals. Review them against the same policy, business, and mutation gates as a human-authored change. Never accept or reject a recommendation solely because the platform labels it a best practice.

Boundaries

Platform approval is not legal clearance. Legal compliance is not proof of platform eligibility. Keep the platform-policy finding and regulatory exposure separate, and obtain qualified counsel for jurisdiction-specific legal decisions.

Source: SKILL.md on GitHub

1 alert16d5 checks · Risk SAFE
  • Gen Agent Trust Hub16d

    The skill provides a set of markdown-based reference documents, policies, and guidelines for managing multi-platform paid advertising campaigns. No source code, executables, external scripts, or malicious injection attempts were detected in any of the audited files.

  • Socket16d

    No alerts

  • Snyk16d

    Risk: LOW · No issues

  • Runlayer6mo

    9/19 files flagged

  • ZeroLeaks5mo

    Score: 93/100 · 2 sections analyzed

Signed by skilld at c046344. This ties the file your Agent reads to that commit on GitHub. It does not review the instructions.

Last checked against GitHub 3 weeks ago.

Activeupdated 3 weeks ago

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