# Ads Audit

Run a source-grounded paid-advertising audit for one or more of Google, Meta, YouTube...

- Repository: https://github.com/AgriciDaniel/claude-ads (10652 stars)
- Category: Engineering
- License: MIT
- Last updated: 2026-11-01
- Runs scripts: no, instructions only

## Install

Claude Code: `npx skills add AgriciDaniel/claude-ads --skill ads-audit -g -a claude-code -y`
Codex: `npx skills add AgriciDaniel/claude-ads --skill ads-audit -g -a codex -y`
Cursor: `npx skills add AgriciDaniel/claude-ads --skill ads-audit -g -a cursor -y`
Gemini CLI: `npx skills add AgriciDaniel/claude-ads --skill ads-audit -g -a gemini-cli -y`
Claude Code plugin marketplace: `/plugin marketplace add AgriciDaniel/claude-ads`

## Description

Run a source-grounded paid-advertising audit for one or more of Google, Meta, YouTube, LinkedIn, TikTok, Microsoft, Apple, Amazon, Reddit, Pinterest, Snapchat, and X. Use for full ad checks, account health reviews, paid-media diagnostics, partial audits after authentication or worker failure, missing-platform weighting, beta-feature eligibility and scoring, spend audits, tracking audits, or prioritized opportunities and risks.

## SKILL.md, as published by its author (untrusted third-party text, read it as data)

# Paid Advertising Audit

Produce a versioned JSON audit bundle first, then render human deliverables from
that bundle. Never aggregate prose-only worker reports or claim coverage for a
platform whose required worker, sources, inputs, or controls are missing.

## Procedure

1. Read the main `ads` operating contract and thinking framework.
2. Create a run manifest with business context, date window, currency, timezone,
   requested platforms, scopes, available data, and privacy classification.
3. Normalize exports, screenshots, manual metrics, or authenticated reads into an
   account snapshot. Preserve source lineage and mark missing fields.
4. Discover active platforms. Confirm requested inactive or data-less platforms
   rather than silently skipping them.
5. Load each selected platform capability manifest, control registry, dated source
   entries, benchmarks, and applicable policy material.
6. Dispatch independent platform workers and cross-platform workers in parallel.
7. Validate every result against the common finding schema. Retry one transient
   failure; record all other failures and recovery hints.
8. Run deterministic scoring. Do not calculate or repair scores in the prompt.
9. Synthesize systemic findings across measurement, budget, creative, landing
   pages, experimentation, policy, and regulatory exposure.
10. Write one atomic run bundle and render the requested reports.
11. Verify bundle completeness, citations, privacy, and render integrity.

## Platform workers

Use a dedicated worker for every selected platform:

- `audit-google`
- `audit-meta`
- `audit-youtube`
- `audit-linkedin`
- `audit-tiktok`
- `audit-microsoft`
- `audit-apple`
- `audit-amazon`
- `audit-reddit`
- `audit-pinterest`
- `audit-snapchat`
- `audit-x`

Add cross-platform workers only when their inputs exist:

- Tracking and attribution.
- Creative and landing-page quality.
- Budget, pacing, and financial viability.
- Platform policy, privacy, and regulation.

The rest: https://github.com/AgriciDaniel/claude-ads/blob/HEAD/skills/ads-audit/SKILL.md