Experiment Sensitivity Optimization

What it does

When your agent uses it

• Choosing sensitive metrics
• Working with minimum detectable effect
• Reducing variants
• Applying capping metrics

Example prompts

• “/experiment-sensitivity-optimization”

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 and the smallest practically meaningful effect.
2. 2Check whether the current primary metric is close enough to the feature's
3. 3Reduce unnecessary variants and separate learning tests from launch tests.
4. 4Consider metric capping, CUPED, stratification, or other variance reduction.
5. 5Record data prerequisites, risks, and interpretation limits.
6. 6Update the experiment brief with the revised measurement plan.

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 Sensitivity Optimization loads about 814 tokens when it runs, and up to ~3k if it reads all its reference files. Until then it costs about 82 tokens; SKILL.md has 248 words of instructions outside code blocks.

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

~82

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

~814

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

~3k

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). 248 words, ~814 tokens.

name

experiment-sensitivity-optimization

description

Improve experiment sensitivity and reduce traffic or duration requirements. Use when choosing sensitive metrics, working with minimum detectable effect, reducing variants, applying capping metrics, CUPED, variance reduction, or deciding how to get trustworthy A/B test signal with fewer users.

compatibility

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

license

MIT

metadata.version

0.1.0

metadata.displayName

Experiment Sensitivity Optimization

metadata.category

Product Management

metadata.tags

practical-ab-testing,next-level-ab-testing,ab-testing,experimentation,metrics

# Experiment Sensitivity Plan

## Decision
[What the experiment must decide.]

## Current Constraint
[Traffic | Duration | Noisy metric | Too many variants | Weak proxy | Other]

## Recommended Changes
| Change | Why It Helps | Requirement | Risk |
|--------|--------------|-------------|------|

## Metric Plan
- Primary metric:
- More sensitive alternative:
- Guardrails:
- Minimum detectable effect:

## Variance Reduction
- Technique:
- Data needed:
- Validation:

## Interpretation Notes
- What this design can conclude:
- What it cannot conclude:

© 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-sensitivity-optimization of hashgraph-online/awesome-codex-plugins.

• SKILL.md
• guidelines.md
• references/core/examples.md
• references/core/knowledge.md
• references/core/rules.md
• workflows/optimize-experiment-sensitivity.md

Open the folder on GitHubat commit 16b4156