ads-audit

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---
name: ads-audit
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."
---

# 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.

## Required finding fields

Each worker returns conclusions, not files:

```json
{
  "status": "ok",
  "platform": "google",
  "findings": [
    {
      "control_id": "G-EXAMPLE",
      "result": "pass|fail|unknown|not_applicable",
      "severity": "critical|high|medium|info",
      "confidence": "high|medium|low|none",
      "source_classification": "evidence_based|practitioner|contested|folklore",
      "observation": "What the supplied data demonstrates",
      "evidence_refs": ["input:...", "source:..."],
      "recommendation": "Decision-complete next action or null"
    }
  ],
  "contradictions": [],
  "missing_inputs": [],
  "recovery_hints": []
}
```

Validate against the repository schema rather than relying on this illustrative
fragment when the installed schema is available.

## Completeness rules

- `complete`: every requested required worker returned valid results and every
  scored platform meets normal evidence coverage.
- `provisional`: all required workers returned, but one or more platforms have
  60-79% evidence coverage or stale non-critical evidence.
- `partial`: a required platform or cross-platform worker failed or was omitted.
- `insufficient_evidence`: a requested platform has less than 60% coverage.

Never substitute feature awareness for account health. Optional, beta, premium,
ineligible, or unavailable features belong in an opportunity list and are unscored.

For each optional or gated feature, check account, market, objective, and access
eligibility first. If unavailable or ineligible, record an