ads-test

by AgriciDaniel 8.2k MIT Updated Jul 13, 2026
ads-test skill by AgriciDaniel
ads-test — Testing skill by AgriciDaniel

ads-test is an open-source testing skill for Claude Code and compatible agents, published by AgriciDaniel. Its author describes it as: “Design and evaluate paid-ad experiments with hypotheses, randomization units, sample-size and duration assumptions, guardrails, platform experiment tools, analysis, and decision rules. Use for A/B test, split test, ex…”. The project has 8.2k stars on GitHub and is available under the MIT license. Add it to your setup with `/plugin marketplace add AgriciDaniel/claude-ads`.

What ads-test does

1. State the decision, causal hypothesis, treatment, control, randomization unit, population, primary metric, guardrails, minimum effect, and stopping rule. 2. Check platform constraints, overlapping experiments, conversion lag, seasonality, interference, and measurement quality. 3. Calculate sample and duration from declared assumptions; disclose approximations. 4. Change one decision surface unless the design explicitly estimates interactions. 5. Pre-register exclusions, quality checks, analysis, and decision thresholds. 6. For readout, verify assignment integrity and data completeness befor…

Installation

Add ads-test to your agent with:

/plugin marketplace add AgriciDaniel/claude-ads

Always review a skill's source before installing it. This command comes from the skill's public repository; the linked repo is the source of truth for exact setup steps.

When to use it

Reach for ads-test when you want testing help from your agent without writing the same instructions every session. Load the skill and the agent picks it up automatically for relevant tasks.

Strengths

  • Clear MIT license — safe to read and adapt
  • Ships in AgriciDaniel/claude-ads, an established project with 8,200 GitHub stars
  • Actively maintained (recent commits)

Topics

agent-skillsaiai-marketingclaude-codeclaude-code-skillgoogle-adsmarketing-automationmeta-adsopen-sourcepaid-advertisingppc

Frequently asked questions

What does ads-test do?
Design and evaluate paid-ad experiments with hypotheses, randomization units, sample-size and duration assumptions, guardrails, platform experiment tools, analysis, and decision rules. Use for A/B test, split test, experiment design, hypothesis, statistical significance, sample size, test duration, or experiment readout.
How do I install ads-test?
Run /plugin marketplace add AgriciDaniel/claude-ads in your agent, then reload your skills. Review the source at https://github.com/AgriciDaniel/claude-ads before installing.
Is ads-test free to use?
Yes. ads-test is free and open source under the MIT license, so you can read, run, and adapt it within that license's terms.
Where does ads-test come from?
ads-test ships inside AgriciDaniel/claude-ads, a repository that contains 35 catalogued skills in total. The repository's 8,200 GitHub stars apply to that whole collection, not to this skill on its own.

Related skills

More Testing →

Provides guidance for performing causal interventions on PyTorch models using pyvene's declarative intervention framework. Use when conducting causal tracing, activation patching, interchange intervention training, or testing causal hypotheses about model behavior.

When the user wants to plan, design, or implement an A/B test or experiment. Also use when the user mentions "A/B test," "split test," "experiment," "test this change," "variant copy," "multivariate test," "hypothesis," "conversion experiment," "statistical significance," or "test this." For tracking implementation, see analytics-tracking.

25k alirezarezvani MIT

Comprehensive AI prompt engineering safety review and improvement prompt. Analyzes prompts for safety, bias, security vulnerabilities, and effectiveness while providing detailed improvement recommendations with extensive frameworks, testing methodologies, and educational content.

38k github MIT