Experiment Type Selection

What it does

When your agent uses it

• Deciding what kind of A/B test to run
• The question is not simply is variant better
• Validating no degradation
• Proving similarity

Example prompts

• “is variant better,”
• “/experiment-type-selection”

Requirements

• Compatibility (from SKILL.md): Codex, Claude Code, and other Agent Skills-compatible clients.

Workflow steps

6 steps, taken from the first numbered list in SKILL.md.

1. 1State the decision question in plain language.
2. 2Identify whether the team wants to prove improvement, avoid degradation, or
3. 3Check whether the metric movement must persist after launch.
4. 4Decide whether multiple variants are necessary and interpretable.
5. 5Choose the simplest test type that answers the decision question.
6. 6Document assumptions, risk, and follow-up analysis.

What it can do on your machine

Read from SKILL.md and the folder at commit 16b4156. It shows what the files ask for, not the result of running them.

• Tool permissions

  Pre-approves nothing: there is no allowed-tools line, so your agent's usual permission prompts apply.

  From allowed-tools in the SKILL.md frontmatter.

• Runs code

  No scripts in the folder and no shell commands in SKILL.md (its code samples are markdown).

  From the folder's file list and the shell code blocks in SKILL.md.

• Network

  No URLs in SKILL.md.

  From URLs in SKILL.md, links to its own repository left out.

• Credentials

  Names no API keys, tokens, secrets or passwords.

  From names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.

• Compatibility

  Codex, Claude Code, and other Agent Skills-compatible clients.

  From compatibility in the SKILL.md frontmatter.

Context cost

Experiment Type Selection loads about 841 tokens when it runs, and up to ~2.2k if it reads all its reference files. Until then it costs about 97 tokens; SKILL.md has 273 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it

~97

When it runs · the whole SKILL.md, loaded when a task matches

~841

With references · SKILL.md plus every file in references/, read only if the agent opens them

~2.2k

Estimates: characters ÷ 4, the usual rule of thumb; real counts depend on the model's tokenizer. Scripts and assets cost tokens only if the agent reads them.

Safety

Automated static check — not a guarantee. Review scripts before installing. It scans the text of SKILL.md for risky patterns (piping downloads into a shell, reading credential files, hidden Unicode, destructive commands); files beside SKILL.md are not scanned.

SKILL.md

The full file from hashgraph-online/awesome-codex-plugins at commit 16b4156, republished under its MIT licence (© hashgraph-online). 273 words, ~841 tokens.

name

experiment-type-selection

description

Choose the right product experiment type: superiority, non-inferiority, equivalence, A/B/n, or holdback-backed validation. Use when deciding what kind of A/B test to run, when the question is not simply "is variant better," when validating no degradation, proving similarity, comparing multiple variants, or selecting an experiment design for a mature product.

compatibility

Codex, Claude Code, and other Agent Skills-compatible clients.

license

MIT

metadata.version

0.1.0

metadata.displayName

Experiment Type Selection

metadata.category

Product Management

metadata.tags

practical-ab-testing,ab-testing,experimentation,experiment-design,product-analytics

# Experiment Type Recommendation

## Decision Question
[What the team needs to learn.]

## Recommended Type
[Superiority | Non-inferiority | Equivalence | A/B/n | Holdback]

## Why This Type Fits
- Goal:
- Metric behavior needed:
- Risk tolerance:
- Time horizon:

## Design Notes
- Primary metric:
- Guardrails:
- Variants:
- Population:
- Follow-up analysis:

## Do Not Use
[Types that would answer the wrong question and why.]

© hashgraph-online, MIT. Rendered from Markdown: HTML in the file is shown as text, images as links, and headings moved down two levels. Raw file

Files

SKILL.md and 5 other files (references) in plugins/LVTD-LLC/skills/skills/experiment-type-selection of hashgraph-online/awesome-codex-plugins.

• SKILL.md
• guidelines.md
• references/core/examples.md
• references/core/knowledge.md
• references/core/rules.md
• workflows/choose-experiment-type.md

Open the folder on GitHubat commit 16b4156