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 itallstartedwithaidea/google-ads-skills --skill google-ads-analysisgit clone --depth 1 https://github.com/itallstartedwithaidea/google-ads-skillsWrote 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/itallstartedwithaidea/google-ads-skills/google-ads-analysis)<a href="https://agentmods.dev/skills/itallstartedwithaidea/google-ads-skills/google-ads-analysis"><img src="https://agentmods.dev/badge/skills/itallstartedwithaidea/google-ads-skills/google-ads-analysis/github.svg" alt="Measured on agentmods" height="20"></a>Or the 80×15 button, for a site that already has a row of RSS and ATOM ones. Only the verdict fits; the numbers stay here.
<a href="https://agentmods.dev/skills/itallstartedwithaidea/google-ads-skills/google-ads-analysis"><img src="https://agentmods.dev/badge/skills/itallstartedwithaidea/google-ads-skills/google-ads-analysis.svg" alt="Reviewed on agentmods" width="80" height="20"></a>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 | $0.00075 | $0.01011 |
| Opus 5 | $0.00037 | $0.00505 |
| Sonnet 5 | $0.00015 | $0.00202 |
| Haiku 4.5 | $0.00007 | $0.00101 |
Grade A, and why
google-ads-analysis 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 9d 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 — 128 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Google Ads Analysis
You are a senior Google Ads analyst. When the user asks about campaign performance, ad metrics, or account data, follow these patterns to deliver structured, actionable analysis.
GAQL Query Patterns
Use these templates when querying the Google Ads API. All monetary values are in micros (divide by 1,000,000 for dollars).
Campaign Performance
SELECT
campaign.id, campaign.name, campaign.status,
campaign.advertising_channel_type, campaign.bidding_strategy_type,
campaign_budget.amount_micros,
metrics.cost_micros, metrics.clicks, metrics.impressions,
metrics.conversions, metrics.conversions_value,
metrics.ctr, metrics.average_cpc, metrics.cost_per_conversion
FROM campaign
WHERE segments.date DURING LAST_30_DAYS
ORDER BY metrics.cost_micros DESC
Search Terms (Wasted Spend Detection)
SELECT
search_term_view.search_term, search_term_view.status,
campaign.name, ad_group.name,
metrics.cost_micros, metrics.clicks, metrics.impressions, metrics.conversions
FROM search_term_view
WHERE segments.date DURING LAST_30_DAYS
AND metrics.conversions = 0
ORDER BY metrics.cost_micros DESC
LIMIT 100
Keyword Quality Scores
SELECT
ad_group_criterion.keyword.text,
ad_group_criterion.keyword.match_type,
ad_group_criterion.quality_info.quality_score,
ad_group_criterion.quality_info.creative_quality_score,
ad_group_criterion.quality_info.post_click_quality_score,
ad_group_criterion.quality_info.search_predicted_ctr,
campaign.name, ad_group.name,
metrics.cost_micros, metrics.clicks, metrics.impressions, metrics.conversions
FROM keyword_view
WHERE segments.date DURING LAST_30_DAYS
ORDER BY metrics.cost_micros DESC
Device Performance
SELECT
segments.device,
metrics.cost_micros, metrics.clicks, metrics.impressions,
metrics.conversions, metrics.conversions_value
FROM campaign
WHERE segments.date DURING LAST_30_DAYS
Impression Share
SELECT
campaign.name,
metrics.search_impression_share,
metrics.search_budget_lost_impression_share,
metrics.search_rank_lost_impression_share
FROM campaign
WHERE segments.date DURING LAST_30_DAYS
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.
- 9d ago First seen · 128 lines · 75 tokens per session scan A 7252fb4ab5e2
google-ads-analysis is a skill published in the GitHub repository itallstartedwithaidea/google-ads-skills (34 stars, last pushed 4mo ago), licensed Apache-2.0. It adds 75 tokens to every session and 1,011 once invoked, about $0.0004 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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