Skills statistical-analysis

📦

statistical-analysis

Name: statistical-analysis
Author: K-Dense-AI

Content revision r1 Safe ⚡ Contains scripts⚙️ External commands🌐 Network access

Analyze Research Data with Statistical Guidance

Choosing tests and reporting results can be slow and error-prone. This skill guides test selection, assumptions, effect sizes, power analysis, Bayesian options, and APA reporting.

Supports: Claude Codex Code(CC)

🥈 80 Silver

Install with my Agent

Copy this request to your Agent. It includes the canonical Skill page and manifest.

Agent request

Review the Skillstore skill "statistical-analysis" from https://skillstore.io/skills/k-dense-ai-statistical-analysis.md and its manifest at https://skillstore.io/api/skills/k-dense-ai-statistical-analysis/manifest. Verify the artifact. You may proceed after verification, subject to the environment's own policy.

Your Agent should still show its plan and request any confirmation required by the security policy.

Agent-readable resources

Use these links when an AI agent, crawler, or script needs clean context instead of reading the full page.

Markdown detail GET /skills/k-dense-ai-statistical-analysis.md Signed manifest GET /api/skills/k-dense-ai-statistical-analysis/manifest Signed lockfile GET /api/skills/k-dense-ai-statistical-analysis/lockfile

Test it

Using "statistical-analysis". A researcher compares two independent groups on a continuous score.

Expected outcome:

The skill recommends an independent t-test if assumptions hold, Welch correction if variances differ, and Mann-Whitney U for severe non-normality.

Using "statistical-analysis". A student has regression output and needs results wording.

Expected outcome:

The skill produces an APA-style paragraph with model fit, predictors, confidence intervals, diagnostics, and a plain-language interpretation.

Using "statistical-analysis". A team is planning a three-group experiment.

Expected outcome:

The skill outlines one-way ANOVA planning, required effect size assumptions, sample size estimation, post-hoc testing, and reporting details.

Security Audit

Safe

v7 • 7/6/2026 Open versioned report

All static findings are false positives caused by markdown code fences, inline backticks, ordinary Python imports, statistical wording, and a documentation link. No evidence found of prompt injection, data exfiltration intent, shell execution, or active network behavior in the reviewed context.

Files scanned

3,386

Lines analyzed

Review items

False positives ignored

Risk Factors

⚡ Contains scripts (3)

references/effect_sizes_and_power.md:452-457 SKILL.md:147-153 SKILL.md:396-399

⚙️ External commands (42)

🌐 Network access (1)

SKILL.md:628

No confirmed security findings were detected by the latest completed static and semantic audit. This does not prove the skill has no side effects.

Audited by: codex View Audit History →

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Open versioned report

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Academic citations (APA · BibTeX · CFF)

APA citation

K-Dense-AI. (2026). statistical-analysis security audit report (audit version 7) [Author version unspecified]. Skillstore. https://skillstore.io/skills/k-dense-ai-statistical-analysis/audits/7

BibTeX citation

@techreport{k-dense-ai-k-dense-ai-statistical-analysis-2026,
  author = {K-Dense-AI},
  title = {statistical-analysis security audit report (audit version 7)},
  institution = {Skillstore},
  year = {2026},
  number = {7},
  url = {https://skillstore.io/skills/k-dense-ai-statistical-analysis/audits/7},
  note = {Author version unspecified}
}

CITATION.cff

cff-version: 1.2.0
message: "If you use this Skill, cite its author and this versioned security audit report."
title: "statistical-analysis security audit report (audit version 7)"
version: "unspecified"
type: report
authors:
  - name: "K-Dense-AI"
date-released: "2026-07-06"
url: "https://skillstore.io/skills/k-dense-ai-statistical-analysis/audits/7"
identifiers:
  - type: other
    value: "skillstore:k-dense-ai-statistical-analysis:audit:7"
    description: "Skillstore immutable audit report identifier"

Compare variants

2 installable variants

Each author remains a separate installable skill. The recommended variant is ranked by Skillstore evidence.

Why this variant is first

Highest Skillstore Score

Author / source Skillstore Score Evidence Confidence Skillstore usage Updated

davila7 Recommended

davila7-statistical-analysis

Skillstore Score 81

Evidence Confidence High

Skillstore usage 19

Updated

2026-08-21

K-Dense-AI Current

k-dense-ai-statistical-analysis

Skillstore Score 80

Evidence Confidence High

Skillstore usage 16

Updated

2026-08-21

Skillstore Score

Why this score Evidence Confidence: High

Architecture

Maintainability

Content

Community

Spec Compliance

What You Can Build

Plan a Study Analysis

Choose tests, define assumptions, estimate sample size, and plan reporting before data collection.

Check Statistical Assumptions

Review normality, variance, outliers, and model diagnostics before interpreting results.

Prepare Publication Results

Convert analysis outputs into complete APA-style results with effect sizes and confidence intervals.

Try These Prompts

Choose a Test

Help me choose a statistical test. My research question is [question]. My outcome variable is [type]. My groups or predictors are [details].

Check Assumptions

Review the assumptions for [planned test]. My sample size is [n], variables are [variables], and observed issues are [missing data, outliers, or skew].

Interpret Results

Interpret these statistical results in APA style: [test output]. Include assumptions, effect size, confidence interval, and practical significance.

Design a Robust Analysis Plan

Create an analysis plan for this study: [design]. Include primary tests, assumption checks, power analysis, multiple comparison handling, and sensitivity analyses.

Best Practices

State the research question, study design, variable types, and planned comparisons before choosing tests.
Check assumptions and diagnostics before interpreting p-values or model coefficients.
Report effect sizes, intervals, exact p-values, and non-significant planned analyses.