Getting it into your agent
One page per mod, every tool's command on it. A separate URL per tool would split the same page into five that compete with each other.
npx skills add TheMattBerman/google-ads-copilot --skill google-ads-auditgit clone --depth 1 https://github.com/TheMattBerman/google-ads-copilotWrote this? Show the measurements
A badge with what this costs and how it scanned, read live from this page, so it follows the numbers instead of freezing them. Markdown for a README, HTML for a documentation site or a project page.
[](https://agentmods.dev/skills/themattberman/google-ads-copilot/google-ads-audit)<a href="https://agentmods.dev/skills/themattberman/google-ads-copilot/google-ads-audit"><img src="https://agentmods.dev/badge/skills/themattberman/google-ads-copilot/google-ads-audit.svg" alt="Measured on agentmods" height="20"></a>- NVIDIA SkillSpector warn
SkillSpector: 1 finding, up to medium
These are SkillSpector’s own severities. On a checked sample its high-severity flags on skills were ~96% false positives — a documented command, a public API, a “never do X” rule — so we show them as a caution to read, not a verdict. Why →
- medium Agent Snooping · line 232 Skill enumerates or reads other installed skills. Access to other skills' SKILL.md files or the skills directory reveals prompt instructions, capabilities, and secrets that should be invisible to peer skills.Fix: Remove all code or instructions that list or read other skills' files or directories. Skills should operate independently; cross-skill access is a privilege escalation.
What it costs to keep this loaded
Counted locally with the o200k_base tokenizer, which is exact for GPT models; Claude uses its own tokenizer and its counts differ. Treat this as one consistent yardstick across the catalogue rather than a bill. Prices are per million input tokens.
| Model | Per session | Once invoked |
|---|---|---|
| Fable 5.1 | $0.00062 | $0.02604 |
| Opus 5 | $0.00031 | $0.01302 |
| Sonnet 5 | $0.00012 | $0.00521 |
| Haiku 4.5 | $0.00006 | $0.00260 |
Grade A, and why
google-ads-audit scanned grade A with 0 findings against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 8d ago.
A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.
Nothing flagged
None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.
How it starts
The opening of the file, as written. The whole thing — 298 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Google Ads Audit
This is the broad review. Not just a checklist. A synthesis of what the account is learning, where it is leaking, and what should change.
Read first:
google-ads/references/operator-thesis.mdgoogle-ads/references/intent-map.mdgoogle-ads/references/query-patterns.mdgoogle-ads/references/negatives-playbook.mdgoogle-ads/references/tracking-playbook.mdgoogle-ads/references/structure-playbook.mdgoogle-ads/references/rsa-playbook.mdgoogle-ads/references/budget-playbook.mdgoogle-ads/references/benchmarks.mdgoogle-ads/references/deliverable-templates.md
Read workspace if available:
- All
workspace/ads/files exceptassets.md(unless creative output is needed) - Including
workspace/ads/drafts/_index.md— check for existing pending drafts
Data Acquisition
Connected Mode (MCP available)
The audit pulls data across all skill areas. Run queries in this order (each feeds into the next):
1. Account overview:
SELECT
customer.id,
customer.descriptive_name,
customer.currency_code,
customer.time_zone,
customer.auto_tagging_enabled
FROM customer
2. Tracking health (check trust first):
SELECT
conversion_action.name,
conversion_action.type,
conversion_action.category,
conversion_action.counting_type,
conversion_action.include_in_conversions_metric,
metrics.conversions,
metrics.all_conversions
FROM conversion_action
WHERE segments.date DURING LAST_30_DAYS
AND conversion_action.status = 'ENABLED'
ORDER BY metrics.conversions DESC
3. Campaign performance and structure:
SELECT
campaign.name,
campaign.status,
campaign.advertising_channel_type,
campaign.bidding_strategy_type,
campaign_budget.amount_micros,
metrics.impressions,
metrics.clicks,
metrics.cost_micros,
metrics.conversions,
metrics.conversions_value,
metrics.cost_per_conversion,
metrics.search_impression_share,
metrics.search_budget_lost_impression_share
FROM campaign
WHERE campaign.status = 'ENABLED'
AND segments.date DURING LAST_30_DAYS
ORDER BY metrics.cost_micros DESC
What this file has done since we first saw it
Hashed on every crawl. A supply-chain change to an agent config is a question of when, not whether, so the history is kept rather than the latest state alone.
- 8d ago First seen · 298 lines · 62 tokens per session scan A 1094ba7f54d5
google-ads-audit is a skill published in the GitHub repository TheMattBerman/google-ads-copilot (231 stars, last pushed 2mo ago), licensed MIT. It adds 62 tokens to every session and 2,604 once invoked, about $0.0003 per session on Opus 5. A static security scan graded it A with 0 findings. No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-30.
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