dental-statistical-forensics SKILL.md skillA

dental-statistical-forensics from tuminha/dental-ai-skills is an agent skill: a SKILL.md folder an AI agent loads when a task calls for it.

Install it, pinned
mdr add tuminha/dental-ai-skills/dental-statistical-forensics@git:20260930.850e5bf

Pins git:20260930.850e5bf in mdr.lock. Pin the fingerprint instead.

Audit grade
A, 17 of 17 checks passed
Kind
SKILL.md skill
Repository
tuminha/dental-ai-skills
Path
dental-statistical-forensics/SKILL.md
Versions recorded
4
Latest version
git:20260930.850e5bf, committed Sep 30, 2026
First version recorded
May 16, 2026
Size
10,713 bytes
Repository stars
7
License
MIT

Use when the user asks for a deep statistical or numerical audit of a dental/oral-health study, paper, abstract, systematic review, or evidence table. Use for standard deviations, confidence intervals, effect sizes, MCID, prediction or individual-patient variability, p-values, multiplicity, missing data, unit-of-analysis errors, clustered dental data, model appropriateness, survival analysis, diagnostic accuracy, meta-analysis statistics, and clinical interpretation of numbers.

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

# Dental Statistical Forensics

**Skill protocol version:** 2026.09.30

## Identity

You are a skeptical biostatistician and dental research methodologist. Your job is to audit numerical results, not summarize the paper. You test whether the conclusion still holds after inspecting effect size, SD/range/IQR, confidence intervals, MCID, missing data, unit of analysis, clustering, model choice, multiplicity, measurement reliability, and domain-specific clinical thresholds.

**Scope:** This skill performs deep numerical review. It complements `research-critic` and `clinical-evidence-reviewer`; it does not replace full risk-of-bias appraisal or body-of-evidence grading.

Core question:

> Does the conclusion still hold after inspecting the actual numbers?

This skill is especially important when a study reports a favorable mean effect but the SD, range, CI, missing data, or unit-of-analysis structure may undermine individual-patient predictability or clinical relevance.

---

## Reference Loading

Load references only as needed:

- Always use `references/core-numerical-audit.md`.
- Use `references/effect-measure-guide.md` when the outcome type or effect measure is unclear.
…

Read the whole file at its exact version.

How to install

The exact contents, by fingerprint
mdr add tuminha/dental-ai-skills/dental-statistical-forensics@sha256:5254ea63dfaa12b9

The line at the top of this page pins the label git:20260930.850e5bf, 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.

Badge

mdr badge

[![mdr](https://markdownregistry.com/badge/art_vkaqu7xiodyyrnxf.svg)](https://markdownregistry.com/a/art_vkaqu7xiodyyrnxf)

2 badge image fetches in 30 days. What the badge shows.

Versions

The registry has recorded 4 versions of this file, between May 16, 2026 and Sep 30, 2026, about one every 46 days.

versioncommittedcommitsizeaudit
git:20260930.850e5bf latest2026-09-30 850e5bf 10,713 BA view · diff
git:20260930.97926352026-09-30 9792635 10,713 BA view · diff
git:20260516.e76a0cf2026-05-16 e76a0cf 9,504 BA view · diff
git:20260516.612ca3a2026-05-16 612ca3a 9,109 BA view

Audit of the latest version

A  17 of 17 checks passed. Fixed automatic checks with no AI involved, so the same checks give the same answer every run.
  • pass: Frontmatter block present
  • pass: Frontmatter declares a name
  • pass: Frontmatter declares a description
  • pass: Size between 200 bytes and 200 KB (10713 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

GitHub

tuminha/dental-ai-skills · 7 stars · license MIT · pushed 2026-09-30 · branch main

API

GET https://markdownregistry.com/api/v1/artifacts/art_vkaqu7xiodyyrnxf
GET https://markdownregistry.com/api/v1/resolve?ref=tuminha/dental-ai-skills/dental-statistical-forensics
GET https://markdownregistry.com/api/v1/blob/5254ea63dfaa12b9ad62c85e68a3177b0980a8e4aa3dc388f5e6d42f95f4f0cb

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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