Is the Statistical Analysis skill free?

Yes. The skill itself is free from K-Dense-AI/scientific-agent-skills. SkillProof publishes the install command and an independent test verdict at no cost.

What is the Statistical Analysis SkillProof Score?

10.0/10 — installs cleanly 5/5, triggers reliably 5/5, output vs. baseline 10/10, docs & honesty 5/5.

How do I install Statistical Analysis?

Copy the install command from this page, run it in your terminal, and restart Claude Code. Skills live in ~/.claude/skills/ (global) or .claude/skills/ inside a project.

Can I use Statistical Analysis with Cursor, Copilot, Gemini CLI, Codex or other AI tools?

The SKILL.md format is native to Claude (Claude Code, Desktop, claude.ai). The instructions inside adapt to other assistants: Cursor rules, GitHub Copilot instructions, Windsurf rules, Custom GPTs, AGENTS.md for OpenAI Codex, and GEMINI.md for Google Gemini CLI — our conversion guides cover each, and the free converter on the tools page does the wrapping for you.

Statistical Analysis

Q: Does Statistical Analysis work with Claude Code?

We tested it with Claude Code 2.x (agent harness) on Jul 14, 2026. Verdict: Tested · Works. Actually ran the bundled scripts/assumption_checks.py on synthetic two-group data (n=48/52, no pingouin installed) — check_normality_per_group and check_homogeneity_of_variance both executed and returned correct Shapiro-Wilk (p=.90/.76) and Levene's (p=.33) results, which fed a full APA-style report (t(98)=5.07, p<.001, d=1.02) versus a baseline t-test that skipped assumption checks and effect-size CIs entirely.

Enforces frame-inspect-check-assumptions-effect-size-APA-report pipeline for hypothesis tests; bundled Shapiro-Wilk/Levene's script actually runs.

by K-Dense-AI · K-Dense-AI/scientific-agent-skills

Tested · Works

Install — copy the command Download source ↗

Test report

Verdict: Tested · Works
Score: 10.0/10
Tested: Jul 14, 2026
Environment: Claude Code 2.x (agent harness)
Upstream re-checked: Aug 10, 2026 · ac1caa3

Actually ran the bundled scripts/assumption_checks.py on synthetic two-group data (n=48/52, no pingouin installed) — check_normality_per_group and check_homogeneity_of_variance both executed and returned correct Shapiro-Wilk (p=.90/.76) and Levene's (p=.33) results, which fed a full APA-style report (t(98)=5.07, p<.001, d=1.02) versus a baseline t-test that skipped assumption checks and effect-size CIs entirely.

Scored on four weighted criteria — install, triggering, output vs. baseline, docs. How scoring works

Installs cleanly 5/5
Triggers reliably 5/5
Output vs. baseline 10/10
Docs & honesty 5/5

What Statistical Analysis does

Guides frequentist and Bayesian statistical analysis (t-tests, ANOVA, regression, chi-square, non-parametric and Bayesian alternatives) with mandatory assumption checking via the bundled scripts/assumption_checks.py, effect sizes with confidence intervals, and APA-formatted write-ups. Explicitly bans p-hacking, post-hoc test-shopping, and post-hoc 'observed power' claims. Needs pingouin/scipy/statsmodels installed via uv for the primary test-running examples (pymc/arviz for Bayesian work), but the bundled assumption-check script ran correctly in testing using only scipy/statsmodels/pandas, without pingouin.

How to install Statistical Analysis

git clone https://github.com/K-Dense-AI/scientific-agent-skills
cd scientific-agent-skills
mkdir -p ~/.claude/skills
cp -r skills/statistical-analysis ~/.claude/skills/statistical-analysis

Skills live in ~/.claude/skills/ (global) or .claude/skills/ (per-project). Restart Claude Code after installing.

Commands — how to trigger Statistical Analysis

/statistical-analysis Enforces frame-inspect-check-assumptions-effect-size-APA-report pipeline for hypothesis tests; bundled Shapiro-Wilk/Levene's script actually runs.

It also activates on plain-language prompts like these:

Run a t-test on these two groups and check the assumptions first
Fit a regression model and tell me if this dataset can support it
Check whether this sample size is enough to detect a 5% lift

Appears in

Skills for Analysts

Frequently asked questions

Is the Statistical Analysis skill free?: Yes. The skill itself is free from K-Dense-AI/scientific-agent-skills. SkillProof publishes the install command and an independent test verdict at no cost.
Does Statistical Analysis work with Claude Code?: We tested it with Claude Code 2.x (agent harness) on Jul 14, 2026. Verdict: Tested · Works. Actually ran the bundled scripts/assumption_checks.py on synthetic two-group data (n=48/52, no pingouin installed) — check_normality_per_group and check_homogeneity_of_variance both executed and returned correct Shapiro-Wilk (p=.90/.76) and Levene's (p=.33) results, which fed a full APA-style report (t(98)=5.07, p<.001, d=1.02) versus a baseline t-test that skipped assumption checks and effect-size CIs entirely.
What is the Statistical Analysis SkillProof Score?: 10.0/10 — installs cleanly 5/5, triggers reliably 5/5, output vs. baseline 10/10, docs & honesty 5/5.
How do I install Statistical Analysis?: Copy the install command from this page, run it in your terminal, and restart Claude Code. Skills live in ~/.claude/skills/ (global) or .claude/skills/ inside a project.
Can I use Statistical Analysis with Cursor, Copilot, Gemini CLI, Codex or other AI tools?: The SKILL.md format is native to Claude (Claude Code, Desktop, claude.ai). The instructions inside adapt to other assistants: Cursor rules, GitHub Copilot instructions, Windsurf rules, Custom GPTs, AGENTS.md for OpenAI Codex, and GEMINI.md for Google Gemini CLI — our conversion guides cover each, and the free converter on the tools page does the wrapping for you.