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-keyword-strategy-plannergit 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-keyword-strategy-planner)<a href="https://agentmods.dev/skills/ad-superpowers/ad-superpowers-plugin/google-ads-keyword-strategy-planner"><img src="https://agentmods.dev/badge/skills/ad-superpowers/ad-superpowers-plugin/google-ads-keyword-strategy-planner/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-keyword-strategy-planner"><img src="https://agentmods.dev/badge/skills/ad-superpowers/ad-superpowers-plugin/google-ads-keyword-strategy-planner.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 | $0.05633 |
| Opus 5.5 | $0.00040 | $0.02253 |
| Sonnet 5.5 | $0.00020 | $0.01127 |
| Haiku 4.5 | $0.00010 | $0.00563 |
Grade A, and why
google-ads-keyword-strategy-planner 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 — 783 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Keyword Strategy Planner
Complete guide for setting up an effective Google Ads keyword strategy with match types, negatives, and search terms analysis.
Pull Search Terms Data via MCP First
Always start with real data before planning strategy:
# Get search term performance for the account
google_ads_run_gaql(query="
SELECT search_term_view.search_term,
search_term_view.status,
metrics.clicks, metrics.impressions, metrics.ctr,
metrics.conversions, metrics.cost_micros,
metrics.cost_per_conversion,
campaign.name, ad_group.name
FROM search_term_view
WHERE segments.date DURING LAST_30_DAYS
AND metrics.clicks > 5
ORDER BY metrics.conversions DESC
LIMIT 100
")
# Get keyword performance with Quality Score
google_ads_run_gaql(query="
SELECT ad_group_criterion.keyword.text,
ad_group_criterion.keyword.match_type,
ad_group_criterion.quality_info.quality_score,
metrics.clicks, metrics.conversions,
metrics.cost_per_conversion, metrics.search_impression_share
FROM keyword_view
WHERE segments.date DURING LAST_30_DAYS
AND campaign.status = 'ENABLED'
AND ad_group_criterion.status = 'ENABLED'
ORDER BY metrics.cost_per_conversion DESC
LIMIT 50
")
Quick Decision Guide
WHICH MATCH TYPE STRATEGY FITS YOUR CASE?
│
├──► NEW ACCOUNT / LIMITED DATA
│ └──► BROAD MATCH + SMART BIDDING
│ ├── Maximum reach
│ ├── Let AI discover queries
│ └── Strict negative management
│
├──► PROVEN KEYWORDS / HIGH VOLUME
│ └──► PHRASE MATCH (Core)
│ ├── Balance between reach and control
│ ├── Intent preserved
│ └── Predictable performance
│
├──► BRAND / HIGH-VALUE KEYWORDS
│ └──► EXACT MATCH
│ ├── Maximum control
│ ├── Premium bidding
│ └── Quality traffic
│
├──► AI MAX CAMPAIGN (2026)
│ └──► KEYWORDS ARE OPTIONAL SIGNALS
│ ├── AI Max matches based on landing page + assets
│ ├── Keywords guide intent, not control reach
│ ├── Focus on strong negatives + audience signals
│ └── Smart Bidding Exploration enabled by default
│
└──► MODERN BEST PRACTICE (2026+)
└──► HYBRID APPROACH
├── Broad Match + Smart Bidding (discovery)
├── Phrase Match (core volume)
├── Exact Match (top performers)
└── Aggressive negatives
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 · 783 lines · 100 tokens per session scan A a03355f42247
google-ads-keyword-strategy-planner 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 5,633 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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