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.
SkillScore100Maintained
Automatic
◆Marketing & Content pack
Last verified 8/12/2026
What it changes
Passed 23 of 23 test cases with the skill, and 12 of 23 without it.
Without skill52%
With skill100%
Checks it passed that the model alone missed
The audit bundle output includes report.md.
The finding result field uses the value pass.
The audit bundle output includes manifest.json.
and 14 more in the full report
11 fixed12 passed either way0 still failing0 broke
Pass-rate lift
+48 pp
Tokens
+39%
Agent turns
0%
Response time
-19%
Model gemini-3.6-flashMeasured 8/12/2026v123 of 23 cases passed with skill
Tokens, turns and time describe resource use, not a dollar price.
See it in action
One of 11 test cases the skill fixed. Same model, same prompt, with and without the skill.
1 of 11
Prompt
A control check on Google Ads search campaign tracking tags confirmed that all conversion events are firing correctly with active tags. Which valid enum string represents this result state?
What was checked, without and with the skill
Checked
Without skill
With skill
The finding result field uses the value pass.
Missed
Passed
case-10 · gemini-3.6-flash · 8/12/2026 · answers are capped and redacted
What's inside
The instructions your model reads when the skill loads.
SKILL.md139 linessingle file
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
Read the main ads operating contract and thinking framework.
Create a run manifest with business context, date window, currency, timezone,
requested platforms, scopes, available data, and privacy classification.
Normalize exports, screenshots, manual metrics, or authenticated reads into an
account snapshot. Preserve source lineage and mark missing fields.
Discover active platforms. Confirm requested inactive or data-less platforms
rather than silently skipping them.
Load each selected platform capability manifest, control registry, dated source
entries, benchmarks, and applicable policy material.
Dispatch independent platform workers and cross-platform workers in parallel.
Validate every result against the common finding schema. Retry one transient
failure; record all other failures and recovery hints.
Run deterministic scoring. Do not calculate or repair scores in the prompt.
Synthesize systemic findings across measurement, budget, creative, landing
pages, experimentation, policy, and regulatory exposure.
Write one atomic run bundle and render the requested reports.
Verify bundle completeness, citations, privacy, and render integrity.
Platform workers
Use a dedicated worker for every selected platform: