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/incrementality-test-designer)<a href="https://agentmods.dev/commands/ad-superpowers/ad-superpowers-plugin/incrementality-test-designer"><img src="https://agentmods.dev/badge/commands/ad-superpowers/ad-superpowers-plugin/incrementality-test-designer/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/incrementality-test-designer"><img src="https://agentmods.dev/badge/commands/ad-superpowers/ad-superpowers-plugin/incrementality-test-designer.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 | $0.00051 | $0.01971 |
| Opus 5.5 | $0.00020 | $0.00788 |
| Sonnet 5.5 | $0.00010 | $0.00394 |
| Haiku 4.5 | $0.00005 | $0.00197 |
Grade A, and why
incrementality-test-designer 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 3d 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 — 160 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Platforms: meta, google_ads, linkedin, tiktok, google_analytics Included in trial and paid plans. Your existing quota and permissions still apply.
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.
Incrementality Test Designer
Design a rigorous incrementality test for your platform. In a privacy-first world (40-60% iOS signal loss, 50-65% modeled conversions), incrementality testing answers the only question that matters: "What revenue did this advertising create that wouldn't have happened anyway?"
OUTPUT FORMAT (CRITICAL - follow this EXACT structure)
TEST RECOMMENDATION
| Factor | Value |
|---|---|
| Recommended Test Type | [Geo Lift / Conversion Lift / Holdout / Ghost Bids / MMM] |
| Why This Test | [2-3 bullet reasons based on spend, platform, geography] |
| Estimated Duration | [X weeks total incl. baseline + cooldown] |
| Confidence Level | [High / Medium-High / Medium] |
Test Type Selection Reference:
| Test Type | Best For | Min Budget | Min Duration | Confidence |
|---|---|---|---|---|
| Geo Lift | Any channel, any size | 5K/mo | 4-6 weeks | High |
| Conversion Lift (Meta) | Meta only | 2K/mo | 2-4 weeks | Medium-High |
| Brand Lift (Google) | Brand awareness | 5K+ | 2 weeks | High |
| Holdout Test | Retargeting | 3K/mo | 3-4 weeks | Medium |
| Ghost Bids | Display/Video | 10K/mo | 4 weeks | High |
| Full MMM | All channels | 100K+/mo | 8-12 weeks | Highest |
GEO SPLIT DESIGN
| Factor | Test Regions | Control Regions |
|---|---|---|
| Population | [50% of target] | [50% of target] |
| Historical similarity | Must match within 15% | Baseline |
| Suggested regions | [List 3-5] | [List 3-5] |
Pre-built geo splits (use if applicable):
Netherlands:
| Option | Test | Control | Balance |
|---|---|---|---|
| North/South | Noord-Holland, Zuid-Holland, Utrecht | Noord-Brabant, Gelderland, Limburg | 85% |
| Randstad/Rest | Amsterdam, Rotterdam, Den Haag | All other provinces | 72% |
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.
- 3d ago Changed · +1 lines 43fe8008cc03
- 1mo ago Changed · -5 tokens per session fbe9ddf8fa6b
- 1mo ago First seen · 159 lines · 56 tokens per session scan A fd94d8448cef
incrementality-test-designer is a command published in the GitHub repository Ad-Superpowers/ad-superpowers-plugin (5 stars, last pushed 4d ago), licensed MIT. It adds 51 tokens to every session and 1,971 once invoked, about $0.0002 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 2026-08-31.
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