medical-stat-randomization

medical-stat-randomization is a skill for Claude Code, Codex from LeiGao0203/R-Medical-Statistics-Skills. It costs 104 tokens per session (4,007 once invoked), scanned A, original, no licence file.

An R-language guide for creating random assignment plans in clinical trials, where participants are assigned to treatment groups by chance. It covers simple, stratified, and block randomization.

In plain words
What is it for?
Use it to create randomization plans for clinical trials, including plans that balance groups within categories or in fixed-size blocks.
Why use it?
It removes the need to build these assignment schemes from scratch and helps avoid using the wrong randomization method. It does not cover sampling methods or sample-size calculations.

Skill for Claude CodeCodex

Which agent this was written for is unclear — body not stored (licence); the path alone says nothing.

Good fit Use it to create randomization plans for clinical trials, including plans that balance groups within categories or in fixed-size blocks.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/leigao0203/r-medical-statistics-skills/randomization
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 LeiGao0203/R-Medical-Statistics-Skills --skill randomization
Clone the repo
git clone --depth 1 https://github.com/LeiGao0203/R-Medical-Statistics-Skills

Made for: Claude Code, Codex.

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 medical-stat-randomization

README.md
[![agentmods](https://agentmods.dev/badge/skills/leigao0203/r-medical-statistics-skills/randomization/github.svg)](https://agentmods.dev/skills/leigao0203/r-medical-statistics-skills/randomization)
Your own site
<a href="https://agentmods.dev/skills/leigao0203/r-medical-statistics-skills/randomization"><img src="https://agentmods.dev/badge/skills/leigao0203/r-medical-statistics-skills/randomization/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 medical-stat-randomization

Your own site · 80×15
<a href="https://agentmods.dev/skills/leigao0203/r-medical-statistics-skills/randomization"><img src="https://agentmods.dev/badge/skills/leigao0203/r-medical-statistics-skills/randomization.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 104 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 4,007 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 $0.00104 $0.04007
Opus 5.5 $0.00042 $0.01603
Sonnet 5.5 $0.00021 $0.00801
Haiku 4.5 $0.00010 $0.00401

Measured 2mo ago against content hash df5eccd4bf98, method: parsed. Prices are Anthropic first-party input rates as of 2026-10-07, from the pricing page.

Security

Grade A, and why

medical-stat-randomization 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 2mo 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.

basic-stats/randomization/SKILL.md · 365 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

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. 2mo ago First seen · 365 lines · 104 tokens per session scan A df5eccd4bf98

Subscribe to this mod's changes

medical-stat-randomization is a skill published in the GitHub repository LeiGao0203/R-Medical-Statistics-Skills (14 stars, last pushed 3mo ago), with no licence file. It adds 104 tokens to every session and 4,007 once invoked, about $0.0004 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.

Related

medical-stat-randomization compared with skills from other repositories

medical-stat-randomization next to 6 skills from other repositories
ModTypeStarsLast pushLicenceScanTokensWorks with
medical-stat-randomizationLeiGao0203/R-Medical-Statistics-SkillsSkill143mo agononeA104Claude Code, Codex
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