statistical-power SKILL.md skillA
statistical-power from k-dense-ai/scientific-agent-skills is an agent skill: a SKILL.md folder an AI agent loads when a task calls for it.
mdr add k-dense-ai/scientific-agent-skills/statistical-power@v1.3Pins v1.3 in mdr.lock. Pin the fingerprint instead.
- Audit grade
- A, 17 of 17 checks passed
- Kind
- SKILL.md skill
- Repository
- k-dense-ai/scientific-agent-skills
- Path
skills/statistical-power/SKILL.md- Versions recorded
- 5
- Latest version
- v1.3, committed Oct 1, 2026
- First version recorded
- Jun 11, 2026
- Size
- 17,834 bytes
- Repository stars
- 56,497
- License
- MIT
Calculates sample sizes and statistical power for study planning. Applies when someone asks "how many subjects/samples/replicates do I need", wants an a priori power analysis, a minimum detectable effect (MDE), a power curve, or needs to justify a sample size for a grant, IRB protocol, or pre-registration. Covers closed-form power for t-tests, ANOVA, proportions, correlations, chi-square, and regression, plus simulation-based (Monte Carlo) power for complex designs — logistic/Poisson…
Collected from public GitHub. Every version is saved exactly as it was and never changes. Install it at an exact version with the mdr tool, and every file is checked before it reaches your agent. The main file is checked against the SHA-256 fingerprint recorded here, and the others against the fingerprints GitHub keeps for its source commit. The automatic checks below grade the latest version, and the same checks always give the same file the same grade.
What the file says
# Statistical Power & Sample Size ## Overview Power analysis plans the probability of rejecting a specified null under an assumed alternative. It answers **how many independent experimental units are needed to detect a scientifically important effect**, or what effects a feasible sample could detect. Choose the inferential goal first: precision, equivalence, noninferiority, or sequential monitoring need their own calculations; the bundled superiority-test helpers do not cover them. Four quantities are locked together for any given test: **sample size (n)**, **effect size**, **significance level (α)**, and **power (1 − β)**. For a fixed design, analysis, and nuisance parameters, fixing three permits solving for the fourth when a solution exists. Every calculation in this skill is some rearrangement of that relationship. This skill covers the two ways to do power analysis: - **Analytical** power calculations (exact under some standard-test assumptions; asymptotic approximations for others) — see `references/closed_form_recipes.md`. …
Read the whole file at its exact version.
How to install
mdr add k-dense-ai/scientific-agent-skills/statistical-power@sha256:a969660eafdc3504The line at the top of this page pins the label v1.3, which is what most people want. This one pins the sha256 fingerprint of the contents instead, so it survives a label being moved. Either way the exact version is written to mdr.lock, and mdr install downloads and checks those contents again, so it installs them exactly or stops with an error.
[](https://markdownregistry.com/a/art_wpuundjqw5ld2iqo)
5 badge image fetches in 30 days. What the badge shows.
Versions
The registry has recorded 5 versions of this file, between Jun 11, 2026 and Oct 1, 2026, about one every 28 days.
| version | committed | commit | size | audit | |
|---|---|---|---|---|---|
| v1.3 latest | 2026-10-01 | a92663a | 17,834 B | A | view · diff |
| v1.2 | 2026-09-30 | ce9e6e9 | 15,925 B | A | view · diff |
| v1.1 | 2026-09-02 | 1e5eeff | 15,345 B | A | view · diff |
| v1.0 | 2026-07-26 | b085e11 | 14,387 B | A | view · diff |
| git:20260611.fdf52ef | 2026-06-11 | fdf52ef | 14,392 B | A | view |
Audit of the latest version
- pass: Frontmatter block present
- pass: Frontmatter declares a name
- pass: Frontmatter declares a description
- pass: Size between 200 bytes and 200 KB (17834 bytes)
- pass: No zero-width or bidi control characters
- pass: No instruction hidden inside an HTML comment
- pass: No link to an exfiltration or paste host
- pass: No credential-shaped string
- pass: No instruction to send local credentials anywhere
- pass: No text hidden with inline styles
- pass: No prompt-injection phrasing
- pass: No curl or wget piped into a shell
- pass: No recursive delete of root, home or parent
- pass: No instruction to read or print local credentials
- pass: No base64 blob over 200 characters
- pass: No link to a raw IP address
- pass: No script tag
Source
k-dense-ai/scientific-agent-skills · 56,497 stars · license MIT · pushed 2026-11-02 · branch main
API
GET https://markdownregistry.com/api/v1/artifacts/art_wpuundjqw5ld2iqo GET https://markdownregistry.com/api/v1/resolve?ref=k-dense-ai/scientific-agent-skills/statistical-power GET https://markdownregistry.com/api/v1/blob/a969660eafdc3504ac36e49bd7ded00e18b00fe5cef5699940d5d8281e24dd3d
Your AI assistant does the legwork. You hear about the deals worth your word. Hand yours the standing instructions at modelranch.com and it joins the network that reads files like this one.
Guides: the SKILL.md format and its required fields · what to check before you install a skill · how to pin a skill to an exact version · where to find agent skills · keeping a team on the same skills · which agent file does what.
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