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.
git 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/commands/ad-superpowers/ad-superpowers-plugin/keyword-opportunity-finder)<a href="https://agentmods.dev/commands/ad-superpowers/ad-superpowers-plugin/keyword-opportunity-finder"><img src="https://agentmods.dev/badge/commands/ad-superpowers/ad-superpowers-plugin/keyword-opportunity-finder/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/commands/ad-superpowers/ad-superpowers-plugin/keyword-opportunity-finder"><img src="https://agentmods.dev/badge/commands/ad-superpowers/ad-superpowers-plugin/keyword-opportunity-finder.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 | $0.00025 | $0.00836 |
| Opus 5 | $0.00013 | $0.00418 |
| Sonnet 5 | $0.00005 | $0.00167 |
| Haiku 4.5 | $0.00003 | $0.00084 |
Grade A, and why
keyword-opportunity-finder 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 11d 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 — 80 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Platforms: google_ads Tier: pro
This command requires the Ad Superpowers MCP connector to access your ad account data. Connect at https://app.adsuperpowers.ai if you haven't already.
Keyword Opportunity Finder
Discover keyword opportunities in Google Ads campaigns.
Conditional: if focus_campaign Focus Campaign: [specify focus_campaign]
OUTPUT FORMAT (CRITICAL - follow this EXACT structure)
SEARCH TERM GOLD MINES
Converting search terms not yet added as keywords:
| Search Term | Clicks | Conv | Conv Rate | Cost | Recommended Match |
|---|---|---|---|---|---|
| Potential impact: +XX conversions/month if added |
IMPRESSION SHARE OPPORTUNITIES
Keywords losing impression share to budget:
| Keyword | IS Lost (Budget) | Avg CPC | Conv | Recommendation |
|---|---|---|---|---|
| Estimated opportunity: [amount] additional revenue if captured |
QUALITY SCORE IMPROVEMENTS
Low QS keywords with good conversion rates:
| Keyword | QS | Conv Rate | Issue | Fix |
|---|---|---|---|---|
| Estimated CPC savings: XX% if QS improved to 7+ |
NEGATIVE KEYWORD RECOMMENDATIONS
| Search Term | Clicks | Spend | Conv | Action |
|---|---|---|---|---|
| Estimated monthly savings: [amount] |
ACTION SUMMARY
- Add [X] converting search terms as keywords
- Exclude [X] irrelevant terms (save [amount]/mo)
- Increase budget for [X] high-opportunity keywords
- Improve landing pages for [X] low-QS keywords
EXECUTION STEPS
Step 1: Discover Accounts
google_ads_list_accounts()
Step 2: Pull Search Term Report
google_ads_run_gaql(customer_id="FROM_STEP_1", query="SELECT search_term_view.search_term, search_term_view.status, metrics.impressions, metrics.clicks, metrics.cost_micros, metrics.conversions, metrics.conversions_value FROM search_term_view WHERE segments.date DURING LAST_30_DAYS AND metrics.impressions > 10 ORDER BY metrics.conversions DESC LIMIT 200")
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.
- 11d ago First seen · 80 lines · 25 tokens per session scan A 2ccf1b984d0c
keyword-opportunity-finder is a command published in the GitHub repository Ad-Superpowers/ad-superpowers-plugin (5 stars, last pushed today), licensed MIT. It adds 25 tokens to every session and 836 once invoked, about $0.0001 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 2026-08-31.
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specify
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