statistics

statistics is a skill for Claude Code, Codex from AndyZhuang/Opentest. It costs 0 tokens per session (607 once invoked), scanned A, a copy of statistics, MIT.

A statistics guide for scientific research. It helps choose suitable statistical tests, check whether their assumptions hold, and report results such as effect sizes and statistical power.

In plain words
What is it for?
Use it to plan analyses, select tests for different data types, check assumptions, perform power analysis, and follow reporting standards.
Why use it?
It reduces the risk of using an unsuitable test or reporting results without checking whether the analysis is valid. It also provides a consistent way to describe findings.

Skill for Claude CodeCodex

Written for no agent in particular: nothing here depends on one.

Good fit Use it to plan analyses, select tests for different data types, check assumptions, perform power analysis, and follow reporting standards.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/andyzhuang/opentest/statistics
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 AndyZhuang/Opentest --skill statistics
Clone the repo
git clone --depth 1 https://github.com/AndyZhuang/Opentest

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 statistics

README.md
[![agentmods](https://agentmods.dev/badge/skills/andyzhuang/opentest/statistics/github.svg)](https://agentmods.dev/skills/andyzhuang/opentest/statistics)
Your own site
<a href="https://agentmods.dev/skills/andyzhuang/opentest/statistics"><img src="https://agentmods.dev/badge/skills/andyzhuang/opentest/statistics/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 statistics

Your own site · 80×15
<a href="https://agentmods.dev/skills/andyzhuang/opentest/statistics"><img src="https://agentmods.dev/badge/skills/andyzhuang/opentest/statistics.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 0 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 607 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 100% copy Near-identical to another mod 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 $0.00000 $0.00607
Opus 5 $0.00000 $0.00303
Sonnet 5 $0.00000 $0.00121
Haiku 4.5 $0.00000 $0.00061

Measured 8d ago against content hash fb0db2cc68a5, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-11, from the pricing page.

Security

Grade A, and why

statistics 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 8d 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.

Origin

This is a copy

100% identical to statistics — 0 lines differ, which has more behind it and is treated as the original. This page carries a canonical link to it rather than competing with it.

skills/labclaw/general/statistics/SKILL.md · 47 lines

How it starts

The opening of the file, as written. The whole thing — 47 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Statistical Analysis & Quality Control

Overview

Comprehensive statistical methodology for scientific research. Covers test selection, assumption verification, power analysis, effect size reporting, and reporting standards.

Test Selection Guide

Data Type Groups Paired? Normal? Recommended Test
Continuous 2 No Yes Independent t-test
Continuous 2 No No Mann-Whitney U
Continuous 2 Yes Yes Paired t-test
Continuous 2 Yes No Wilcoxon signed-rank
Continuous 3+ No Yes One-way ANOVA + post hoc
Continuous 3+ No No Kruskal-Wallis + Dunn
Continuous 3+ Yes Yes Repeated measures ANOVA
Categorical 2x2 Chi-square / Fisher's exact
Time-to-event 2+ Log-rank + KM curves
Time-to-event Adjusted Cox proportional hazards
Continuous Prediction Linear/logistic regression

Assumption Checks

  • Normality: Shapiro-Wilk (n < 50), Kolmogorov-Smirnov (n > 50), Q-Q plot visual
  • Homoscedasticity: Levene's test, Bartlett's test
  • Independence: study design review (not a statistical test)
  • Proportional hazards: Schoenfeld residuals, log-log plot

Multiple Comparison Correction

  • Bonferroni: conservative, for few comparisons
  • Holm-Bonferroni: step-down, less conservative than Bonferroni
  • FDR (Benjamini-Hochberg): for many comparisons (e.g., genomics)
  • Tukey HSD: for all pairwise comparisons after ANOVA

Effect Size Guidelines

Measure Small Medium Large
Cohen's d 0.2 0.5 0.8
Pearson r 0.1 0.3 0.5
Odds Ratio 1.5 2.5 4.3
R-squared 0.02 0.13 0.26

Reporting Standards

  • Always report: test statistic, degrees of freedom, exact p-value, effect size, 95% CI
  • Follow STROBE (observational), CONSORT (RCTs), PRISMA (reviews), ARRIVE (animal)
  • Never say "trend toward significance" for p > 0.05
  • Report non-significant results honestly

Read the full file on GitHub · 47 lines

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. 8d ago First seen · 47 lines · 0 tokens per session scan A fb0db2cc68a5

Subscribe to this mod's changes

statistics is a skill published in the GitHub repository AndyZhuang/Opentest (22 stars, last pushed 6mo ago), licensed MIT. It costs nothing until one of its globs matches a file; then it loads 607 tokens. A static security scan graded it A with 0 findings. It is 100% identical to statistics, differing in 0 lines, and is treated as a copy.

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