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 eigent-ai/agent-skills --skill ab-test-setupgit clone --depth 1 https://github.com/eigent-ai/agent-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/eigent-ai/agent-skills/ab-test-setup)<a href="https://agentmods.dev/skills/eigent-ai/agent-skills/ab-test-setup"><img src="https://agentmods.dev/badge/skills/eigent-ai/agent-skills/ab-test-setup/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/eigent-ai/agent-skills/ab-test-setup"><img src="https://agentmods.dev/badge/skills/eigent-ai/agent-skills/ab-test-setup.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 | $0.00066 | $0.00496 |
| Opus 5.5 | $0.00026 | $0.00198 |
| Sonnet 5.5 | $0.00013 | $0.00099 |
| Haiku 4.5 | $0.00007 | $0.00050 |
Grade A, and why
ab-test-setup 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 1mo 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
A/B Test Setup
Overview
Use this skill to guide the full experiment lifecycle: hypothesis, design, sample size, implementation, analysis, and playbook documentation. Keep tests focused, measurable, and resistant to common errors like peeking early or testing too many changes at once.
Workflow
- Define the business goal, user segment, current baseline, target metric, and guardrail metrics.
- Write a specific hypothesis:
If we change X for audience Y, metric Z will improve because...
- Design the test:
- Control and variant.
- Primary metric.
- Secondary and guardrail metrics.
- Traffic split, eligibility, exclusions, and duration.
- Estimate sample size or minimum detectable effect when baseline traffic and conversion rates are available.
- Create an implementation checklist:
- Tracking, randomization, QA, exposure logging, analytics events, and rollback.
- Define decision rules before launch:
- Ship, revert, iterate, or continue testing.
- Analyze results after the test reaches the agreed sample size.
- Document what changed, what was learned, and follow-up experiments.
Test Backlog Pattern
When building a backlog, score each idea with ICE:
- Impact: expected business or user benefit.
- Confidence: evidence quality.
- Effort: complexity and implementation cost.
Prioritize tests that combine high impact, credible evidence, and low operational risk.
Example Prompts
I want to A/B test our signup CTA button. Current conversion rate is 3.2%, 8,000 visitors/month. Help me design the test, calculate the required sample size, and define what success looks like.Our A/B test just hit sample size. Here are the results [paste metrics]. Is this statistically significant? Should we ship the variant, revert, or keep testing?Build a prioritized A/B test backlog for our onboarding flow. Use ICE scoring. Sources to mine: our drop-off analytics, last month's support tickets, and these 3 heatmap observations.
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.
- 1mo ago First seen · 45 lines · 66 tokens per session scan A 6040c40be902
ab-test-setup is a skill published in the GitHub repository eigent-ai/agent-skills (24 stars, last pushed 12d ago), licensed Apache-2.0. It adds 66 tokens to every session and 496 once invoked, about $0.0003 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 2026-08-30.
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