hodios-statistics

v2026.1002.0

Hodios statistics entries: prompts, personas and workflows.

Claude Code6 Skills

By Hodios contributorsLicense: CC0-1.00 GitHub starsUpdated 1 hour ago

Directory evidence

Runtimes: Claude Code
Parsed components: 6 skill or MCP entries
Source updated: Oct 2, 2026
Manifest status: Canonical path parsed

The directory validates manifest shape and source location. It does not execute the plugin or provide a security endorsement. Review the indexing methodology →

Install hodios-statistics for Claude Code

Installs for the current user

claude plugin marketplace add IchenDEV/agent-plugin-mkt
claude plugin marketplace update agent-plugin-marketplace
claude plugin install hodios-statistics@agent-plugin-marketplace

Paste and run these commands in a terminal with Claude Code. They add and refresh the PluginsMP catalog, then install this plugin.

The installer fetches third-party code from the source repository shown on this page. This directory validates manifest structure and source location, but does not perform a security audit; review the manifest, components, and source before installing.

Get the source manually

$ git clone https://github.com/hermes-hq/hodios-dist

Clone the source repository, then follow its setup instructions to add the plugin to a compatible client. The plugin root is plugins/hodios-statistics/.

Plugin files

plugins/hodios-statistics/

├── .claude-plugin/plugin.json
├── skills/analyze-ab-test-results/SKILL.md
├── skills/calculate-sample-size/SKILL.md
├── skills/check-analysis-for-pitfalls/SKILL.md
├── skills/choose-statistical-test/SKILL.md
├── skills/forecast-time-series/SKILL.md
└── skills/interpret-regression-output/SKILL.md

Included Skills6

analyze-ab-test-resultsskills/analyze-ab-test-results/SKILL.md

Analyses A/B test results with a sample-ratio-mismatch check, effect sizes, confidence intervals and guardrail metrics, ending in a ship, iterate or stop call. Use when an experiment ends.

calculate-sample-sizeskills/calculate-sample-size/SKILL.md

Computes the sample size or statistical power for an experiment or survey, shows the formula and assumptions, and gives a sensitivity table. Use before launching an A/B test, study or survey.

check-analysis-for-pitfallsskills/check-analysis-for-pitfalls/SKILL.md

Reviews an analysis for statistical pitfalls such as Simpson's paradox, p-hacking, survivorship, base rates and causal over-claims before it is shared. Use as a pre-publication review.

choose-statistical-testskills/choose-statistical-test/SKILL.md

Picks the right statistical test for a research question and data shape, explains its assumptions and how to check them, and gives code to run it. Use before testing a difference or relationship.

forecast-time-seriesskills/forecast-time-series/SKILL.md

Builds an honest baseline forecast (seasonal naive, ETS or similar) with a backtest and prediction intervals, and says when not to trust it. Use for demand, revenue or traffic planning.

interpret-regression-outputskills/interpret-regression-output/SKILL.md

Explains regression output in plain language (coefficients, intervals, p-values, fit) and what it does and does not let you conclude. Use when you have a model summary and need to explain it.

Plugin manifests1

plugins/hodios-statistics/.claude-plugin/plugin.json

{
  "name": "hodios-statistics",
  "version": "2026.1002.0",
  "description": "Hodios statistics entries: prompts, personas and workflows.",
  "author": {
    "name": "Hodios contributors",
    "url": "https://github.com/hermes-hq/hodios"
  },
  "homepage": "https://hermes-ide.com/prompts",
  "repository": "https://github.com/hermes-hq/hodios",
  "license": "CC0-1.0",
  "keywords": [
    "ab-testing",
    "assumptions",
    "backtesting",
    "causal-inference",
    "coefficients",
    "confidence-intervals",
    "effect-size",
    "effect-sizes",
    "forecasting",
    "guardrail-metrics",
    "hypothesis-testing",
    "minimum-detectable-effect",
    "p-hacking",
    "p-values",
    "peer-check",
    "power-analysis",
    "prediction-intervals",
    "regression",
    "reproducibility",
    "sample-ratio-mismatch",
    "seasonality",
    "simpsons-paradox",
    "statistical-consulting",
    "statistics"
  ]
}

Browse the “ab-testing” tag →

marketing-cro

by Wondel.ai

Marketing and conversion optimization skills including CRO methodology, StoryBrand messaging, Scorecard Marketing lead generation, viral marketing (Contagious), and 1-Page Marketing Plan

CodexAgent Plugins5 Skills

2.1kUpdated last month

everyday-causal-skills

by Robson Tigre

Causal inference plugin: plan, implement, and stress-test causal analyses in R and Python.

CodexClaude Code14 Skills

67Updated last month

applied-statistics

by Matt Corbett

Applied-statistics team — a specialist agent (applied-statistician) that answers 'is this difference/trend statistically REAL?' for SMB consulting: which test to use (decision-tree-driven), A/B-test and experiment design (power/MDE, primary + guardrail metrics, pre-registered analysis plans), regression and time-series forecasting review, a causal-inference primer, statistical QA of dashboard metrics, and multiple-comparison correction (FWER vs FDR). skills, a knowledge bank (Mermaid trees for test-selection, parametric-vs-nonparametric, regression, causal, time-series, and multiplicity-correction; a pitfalls guardrail; experiment-design; tooling tiers; a causal primer), a scenarios bank, a stdlib calculator (stat_calc.py: sample-size, p-value correction, effect-size, CI), templates, and an advisory hook. Python-first (scipy / statsmodels / pingouin Tier 1; PyMC Tier 2). Seams with data-platform. Method-before-library; report effect size + CI. Requires ravenclaude-core@>=0.7.0.

Claude Code5 Skills

7Updated 2 weeks ago

For maintainers

If you maintain this plugin, link to this source-backed listing from your README so users can review its manifest and indexed components.

[hodios-statistics on Agent Plugins Marketplace](https://pluginsmp.com/plugins/hodios-statistics)