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 Dragoon0x/everything-design-taste --skill ab-testing-designgit clone --depth 1 https://github.com/Dragoon0x/everything-design-tasteWrote 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/dragoon0x/everything-design-taste/ab-testing-design)<a href="https://agentmods.dev/skills/dragoon0x/everything-design-taste/ab-testing-design"><img src="https://agentmods.dev/badge/skills/dragoon0x/everything-design-taste/ab-testing-design/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/dragoon0x/everything-design-taste/ab-testing-design"><img src="https://agentmods.dev/badge/skills/dragoon0x/everything-design-taste/ab-testing-design.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 | $0.00021 | $0.00276 |
| Opus 5 | $0.00010 | $0.00138 |
| Sonnet 5 | $0.00004 | $0.00055 |
| Haiku 4.5 | $0.00002 | $0.00028 |
Grade A, and why
ab-testing-design 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 5d 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.
What it actually says
Ab Testing Design
Experiment Design
What to Test
- High impact, easy to change: Copy, color, layout, CTA.
- Clear hypothesis: "Changing the CTA from 'Sign Up' to 'Start Free Trial' will increase conversions because it communicates zero commitment."
What Not to Test
- Preferences ("Do users prefer blue or green?").
- Everything at once (test one variable).
- Insignificant elements (button border-radius doesn't matter).
Variant Design
- Control (A) = current experience.
- Variant (B) = one change with a hypothesis.
- Don't create wildly different variants (you won't know what caused the difference).
Statistical Rigor
- Sample size calculator before starting.
- Run for full weeks (not 2 days — behavior varies by day).
- 95% confidence minimum before declaring a winner.
- Watch for novelty effects (new things get more clicks initially).
Reporting
- State the hypothesis.
- Show the numbers (conversion rate, confidence interval).
- State the winner with context.
- Document learnings for future tests.
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.
- 5d ago First seen · 35 lines · 21 tokens per session scan A c140426e9bc2
ab-testing-design is a skill published in the GitHub repository Dragoon0x/everything-design-taste (11 stars, last pushed 5mo ago), licensed MIT. It adds 21 tokens to every session and 276 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 2026-09-03.
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