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 Ad-Superpowers/ad-superpowers-plugin --skill google-ads-competitive-analysis-toolkitgit clone --depth 1 https://github.com/Ad-Superpowers/ad-superpowers-pluginWrote 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/ad-superpowers/ad-superpowers-plugin/google-ads-competitive-analysis-toolkit)<a href="https://agentmods.dev/skills/ad-superpowers/ad-superpowers-plugin/google-ads-competitive-analysis-toolkit"><img src="https://agentmods.dev/badge/skills/ad-superpowers/ad-superpowers-plugin/google-ads-competitive-analysis-toolkit/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/ad-superpowers/ad-superpowers-plugin/google-ads-competitive-analysis-toolkit"><img src="https://agentmods.dev/badge/skills/ad-superpowers/ad-superpowers-plugin/google-ads-competitive-analysis-toolkit.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 | $0.00100 | $0.01664 |
| Opus 5.5 | $0.00040 | $0.00666 |
| Sonnet 5.5 | $0.00020 | $0.00333 |
| Haiku 4.5 | $0.00010 | $0.00166 |
Grade A, and why
google-ads-competitive-analysis-toolkit 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 1mo 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 — 169 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Competitive Analysis Toolkit
Complete guide for analyzing competition in Google Ads, from Auction Insights interpretation to strategic response to competitor activities.
Pull Competitive Data via MCP
Impression Share Metrics (Campaign Level)
google_ads_run_gaql(query="
SELECT campaign.name,
metrics.search_impression_share,
metrics.search_budget_lost_impression_share,
metrics.search_rank_lost_impression_share,
metrics.search_absolute_top_impression_share,
metrics.search_top_impression_share,
metrics.average_cpc, metrics.cost_micros
FROM campaign
WHERE segments.date DURING LAST_30_DAYS
AND campaign.status = 'ENABLED'
AND campaign.advertising_channel_type = 'SEARCH'
ORDER BY metrics.cost_micros DESC
LIMIT 20
")
Interpret:
search_rank_lost_impression_sharerising → competitors increasing bids/QSsearch_budget_lost_impression_sharerising → you are budget-cappedsearch_absolute_top_impression_sharedropping → someone pushed you down
Auction Insights (Competitor Domain Data)
The auction_insight resource provides per-competitor overlap, position above, and outranking metrics via GAQL:
google_ads_run_gaql(query="
SELECT auction_insight.display_domain,
metrics.auction_insight_search_impression_share,
metrics.auction_insight_search_overlap_rate,
metrics.auction_insight_search_position_above_rate,
metrics.auction_insight_search_outranking_share,
metrics.auction_insight_search_top_impression_percentage,
metrics.auction_insight_search_absolute_top_impression_percentage
FROM auction_insight
WHERE segments.date DURING LAST_30_DAYS
ORDER BY metrics.auction_insight_search_impression_share DESC
LIMIT 20
")
This returns the same data as the UI's Auction Insights report, including competitor domain names. Filter by campaign or ad group for segment-specific analysis.
Auction Insights Metrics
| Metric | What It Measures |
|---|---|
| Impression Share | % of impressions you received vs total available |
| Overlap Rate | % of your impressions where competitor also appeared |
| Position Above Rate | % of overlapping impressions where competitor was above you |
| Top of Page Rate | % of impressions in top positions (above organic) |
| Abs. Top of Page Rate | % of impressions at first position |
| Outranking Share | % of auctions where you ranked above competitor or appeared when they didn't |
What ships with it
3 files beside SKILL.md in the same directory: the scripts, references and assets a skill reads on demand. Not counted in the per-session cost; read them before you install if any of them is executable.
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.
- 1mo ago First seen · 169 lines · 100 tokens per session scan A 0b45d3fc27a4
google-ads-competitive-analysis-toolkit is a skill published in the GitHub repository Ad-Superpowers/ad-superpowers-plugin (5 stars, last pushed 29d ago), licensed MIT. It adds 100 tokens to every session and 1,664 once invoked, about $0.0004 per session on Opus 5.5. 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 2026-09-11.
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