experimental-design

experimental-design is a skill for Claude Code from Aho1ic/Aeroric. It costs 204 tokens per session (2,989 once invoked), scanned A, original, no licence file.

A method for planning experiments and studies before collecting data. It covers choosing a design, randomly assigning subjects or samples, grouping similar ones, and arranging treatment combinations.

In plain words
What is it for?
Use it to plan studies, assign subjects or samples to groups, choose treatments, and prepare experiments for data collection.
Why use it?
It helps make study results interpretable by deciding how the experiment will be structured in advance. Randomization and blocking can reduce misleading differences between groups.

Skill for Claude Code

Written for Claude Code: allowed-tools in frontmatter.

Good fit Use it to plan studies, assign subjects or samples to groups, choose treatments, and prepare experiments for data collection.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/aho1ic/aeroric/experimental-design
Install

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.

Any agent
npx skills add Aho1ic/Aeroric --skill experimental-design
Clone the repo
git clone --depth 1 https://github.com/Aho1ic/Aeroric

Made for: Claude Code.

Wrote 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.

agentmods badge for experimental-design

README.md
[![agentmods](https://agentmods.dev/badge/skills/aho1ic/aeroric/experimental-design/github.svg)](https://agentmods.dev/skills/aho1ic/aeroric/experimental-design)
Your own site
<a href="https://agentmods.dev/skills/aho1ic/aeroric/experimental-design"><img src="https://agentmods.dev/badge/skills/aho1ic/aeroric/experimental-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.

agentmods 80×15 button for experimental-design

Your own site · 80×15
<a href="https://agentmods.dev/skills/aho1ic/aeroric/experimental-design"><img src="https://agentmods.dev/badge/skills/aho1ic/aeroric/experimental-design.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 204 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 2,989 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. A grade says what 26 rules found in the file — not that it is safe.
Origin unknown No closer match found in the catalogue.
Token cost

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.

ModelPer sessionOnce invoked
Fable 5.1 $0.00204 $0.02989
Opus 5.5 $0.00082 $0.01196
Sonnet 5.5 $0.00041 $0.00598
Haiku 4.5 $0.00020 $0.00299

Measured 7d ago against content hash 14b3f343c247, method: parsed. Prices are Anthropic first-party input rates as of 2026-10-07, from the pricing page.

Security

Grade A, and why

experimental-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 7d ago.

The scan reads SKILL.md. This mod also ships 2 executable files (scripts/doe_designs.py, scripts/randomization.py), listed below but not scanned — reading those needs a real analyzer, not pattern matching.

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.

core/skills/builtin/science/experimental-design/SKILL.md · 233 lines

The source is not reproduced here

A licence we could not identify

The repository carries a LICENSE file, but it is custom or dual enough that GitHub cannot name it and neither can this catalogue. Unknown terms are not permission, so the body is not copied here. Read the licence at the source and decide for yourself.

Read it on GitHub

Files

What ships with it

6 files beside SKILL.md in the same directory: the scripts, references and assets a skill reads on demand. Not counted in the per-session cost; read them before you install if any of them is executable.

Changes

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.

  1. 7d ago First seen · 233 lines · 204 tokens per session scan A 14b3f343c247

Subscribe to this mod's changes

experimental-design is a skill published in the GitHub repository Aho1ic/Aeroric (62 stars, last pushed yesterday), with no licence file. It adds 204 tokens to every session and 2,989 once invoked, about $0.0008 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 2026-10-31.

Related

experimental-design compared with skills from other repositories

experimental-design next to 6 skills from other repositories
ModTypeStarsLast pushLicenceScanTokensWorks with
experimental-designAho1ic/AeroricSkill62yesterdaynoneA204Claude Code
instrument-data-to-allotropeanthropics/knowledge-work-pluginsSkill35k2d agoApache-2.0A123Claude Code
exploratory-data-analysisK-Dense-AI/scientific-agent-skillsSkill56k4d agoMITA83Claude Code
matlabK-Dense-AI/scientific-agent-skillsSkill56k4d agoMITA44Claude Code
phylogeneticsK-Dense-AI/scientific-agent-skillsSkill56k4d agoMITA71Claude Code, Codex
research-engineerdavila7/claude-code-templatesSkill33kyesterdayMITA43Claude Code, Codex
mapping-to-snomedmaziyarpanahi/openmedSkill5.8kyesterdayApache-2.0A205Claude Code