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 brainbytes-dev/everything-claude-marketing --skill ad-creative-testinggit clone --depth 1 https://github.com/brainbytes-dev/everything-claude-marketingWrote 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/brainbytes-dev/everything-claude-marketing/ad-creative-testing)<a href="https://agentmods.dev/skills/brainbytes-dev/everything-claude-marketing/ad-creative-testing"><img src="https://agentmods.dev/badge/skills/brainbytes-dev/everything-claude-marketing/ad-creative-testing/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/brainbytes-dev/everything-claude-marketing/ad-creative-testing"><img src="https://agentmods.dev/badge/skills/brainbytes-dev/everything-claude-marketing/ad-creative-testing.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 | $0.00026 | $0.03468 |
| Opus 5.5 | $0.00010 | $0.01387 |
| Sonnet 5.5 | $0.00005 | $0.00694 |
| Haiku 4.5 | $0.00003 | $0.00347 |
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 2mo 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 — 392 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Ad Creative Testing
When to Activate
Use this skill when:
- Launching new ad campaigns that require creative testing
- Optimizing existing campaigns with creative refreshes
- Building a systematic testing framework for ad creative
- Determining winning creative elements (hooks, formats, angles)
- Detecting and addressing creative fatigue
- Establishing a creative testing library and documentation process
First Questions
Before designing creative tests, clarify:
- What platform(s) are being tested on? (Meta, Google, LinkedIn, TikTok, YouTube)
- What is the current creative performance? (Baseline CTR, CPA, ROAS)
- What creative assets are available? (Images, video, UGC, product shots)
- What is the testing budget? (Determines number of simultaneous variants)
- What is the current conversion volume? (Need enough data for statistical significance)
- How quickly can new creative be produced? (Testing velocity depends on production speed)
- What has been tested before? (Don't repeat failed experiments without new hypotheses)
Core Rules
- Test concepts before details. A new messaging angle matters more than a different font color. Start with big swings.
- Isolate one variable at a time. If you change the image AND the headline, you don't know which made the difference.
- Let data decide, not opinions. The creative your team loves and the creative your audience loves are rarely the same.
- Statistical significance is non-negotiable. Small sample sizes lead to false conclusions. Don't declare winners too early.
- Winners decay. Every winning creative eventually fatigues. Plan for continuous testing, not one-and-done.
- Document everything. Without documentation, learnings are lost and tests get repeated.
- Testing is an investment, not an expense. Allocate 15-20% of ad budget specifically for creative testing.
- Bad creative tested is better than good creative guessed. Launch and learn. Overthinking kills momentum.
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.
- 2mo ago First seen · 392 lines · 26 tokens per session scan A f5e40be2b6fc
ad-creative-testing is a skill published in the GitHub repository brainbytes-dev/everything-claude-marketing (10 stars, last pushed 7mo ago), licensed MIT. It adds 26 tokens to every session and 3,468 once invoked, about $0.0001 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 2026-09-03.
ad-creative-testing compared with skills from other repositories
| Mod | Type | Stars | Last push | Licence | Scan | Tokens | Works with |
|---|---|---|---|---|---|---|---|
| ad-creative-testingbrainbytes-dev/everything-claude-marketing | Skill | 10 | 7mo ago | MIT | A | 26 | Claude Code |
| imagegenopenai/codex | Skill | 133k | yesterday | Apache-2.0 | A | 113 | Codex |
| playwright-climicrosoft/playwright | Skill | 99k | yesterday | Apache-2.0 | A | 19 | Claude Code |
| local-ai-agentsmicrosoft/ai-agents-for-beginners | Skill | 79k | 4d ago | MIT | A | 200 | Claude Code, Codex |
| systematic-debuggingobra/superpowers | Skill | 313k | 3d ago | MIT | A | 21 | Claude Code |
| next-cache-components-adoptionvercel/next.js | Skill | 143k | yesterday | MIT | A | 95 | Claude Code |
| next-partial-prefetching-adoptionvercel/next.js | Skill | 143k | yesterday | MIT | A | 103 | Claude Code |