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 agentmods add skills/skillmedev/skills/ad-creative-testingnpx skills add SkillMedev/skills --skill ad-creative-testinggit clone --depth 1 https://github.com/SkillMedev/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/skillmedev/skills/ad-creative-testing)<a href="https://agentmods.dev/skills/skillmedev/skills/ad-creative-testing"><img src="https://agentmods.dev/badge/skills/skillmedev/skills/ad-creative-testing.svg" alt="Measured on agentmods" 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 | $0.00036 | $0.01209 |
| Opus 5 | $0.00018 | $0.00605 |
| Sonnet 5 | $0.00007 | $0.00242 |
| Haiku 4.5 | $0.00004 | $0.00121 |
Grade A, and why
Ad Creative Testing 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 4d 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 — 57 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Ad Creative Testing
Most ad creative testing produces noise, not learning. Discipline means changing one variable at a time, running tests long enough, and acting only on statistically meaningful results.
Structure Tests Around a Single Variable
Each test must isolate exactly one variable: hook (first 3 seconds of video or headline), visual format (static vs. video vs. carousel), offer framing (discount vs. free trial vs. guarantee), or call to action. Testing multiple variables at once makes the result uninterpretable. Label every creative with the variable it is testing and the hypothesis it is checking before launch.
Prioritize Hook Testing First
The hook is the highest-leverage variable in most paid channels. For video, the 3-second view rate and thumb-stop ratio reveal hook strength before the full watch occurs. For static and search, the headline carries the same weight. Run hook tests before any other variable - a great offer with a weak hook will never be seen. A hook passes if 3-second view rate exceeds 30% on Meta or thumb-stop exceeds 25%; a headline passes if CTR exceeds channel benchmark.
Set Sample Sizes Before Running
Do not evaluate results until reaching the pre-set sample size. For conversion-rate tests, aim for at least 100 conversions per variant - fewer than that and the result is noise. For CTR or view-rate tests, 2,000 impressions per variant is the minimum. Use a significance calculator before declaring a winner; 95% confidence is the threshold. If budget prevents reaching significance in under 21 days, the test is not worth running as a controlled experiment - use directional data only and label it clearly.
Maintain a Creative Log
Keep a running log of every test: hypothesis, variable tested, variants, launch date, sample size at close, result, and the decision made. The log is the asset. Pattern recognition across 20+ tests reveals which creative elements consistently move the needle for a specific audience. Without a log, teams repeat failed experiments and lose institutional knowledge.
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.
- 4d ago First seen · 57 lines · 36 tokens per session scan A a30bb93385c2
Ad Creative Testing is a skill published in the GitHub repository SkillMedev/skills (11 stars, last pushed 2mo ago), licensed MIT. It adds 36 tokens to every session and 1,209 once invoked, about $0.0002 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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