meta-analysis SKILL.md skillA

meta-analysis from aperivue/medsci-skills is an agent skill: a SKILL.md folder an AI agent loads when a task calls for it.

Install it, pinned
mdr add aperivue/medsci-skills/meta-analysis@git:20261016.b7736c3

Pins git:20261016.b7736c3 in mdr.lock. Pin the fingerprint instead.

Audit grade
A, 17 of 17 checks passed
Kind
SKILL.md skill
Repository
aperivue/medsci-skills
Path
skills/meta-analysis/SKILL.md
Versions recorded
11
Latest version
git:20261016.b7736c3, committed Oct 16, 2026
First version recorded
Jul 22, 2026
Size
36,784 bytes
Repository stars
366
License
MIT

Use when running a systematic review and meta-analysis, DTA or intervention. Covers PROSPERO protocol, search, screening, extraction, risk of bias (QUADAS-3, RoB 2, ROBINS-I), bivariate/HSROC or random-effects pooling, forest plots, heterogeneity and PRISMA reporting. Topic scouting is /ma-scout.

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

# Meta-Analysis Skill

## Meta-Analysis Types

| Type | RoB Tool | Statistical Model | Reporting Guideline |
|------|----------|-------------------|-------------------|
| **DTA** (diagnostic test accuracy) | **QUADAS-3** (QUADAS-2 for legacy reviews) | Bivariate / HSROC | PRISMA-DTA |
| **Intervention** (treatment effect) | RoB 2 (RCT) / ROBINS-I (NRSI) | Random-effects (REML, Hartung-Knapp CI) | PRISMA 2020 |
| **Prognostic factor** (association of one factor with outcome) | QUIPS | Random-effects | PRISMA 2020 |
| **Prediction model** (model performance) | PROBAST | Random-effects | PRISMA 2020 |
| **Observational** (prevalence/association) | NOS / JBI | Random-effects | MOOSE |

If the type is ambiguous (DTA vs intervention), ask the user to clarify before proceeding.

---

## Workflow Phases

### Phase 1: Protocol Development

**Goal**: Produce a PROSPERO-ready protocol document. Write the protocol, extraction forms and
manuscript text in English whatever language the user writes in — PROSPERO records and the
target journals are English-language.

1. **Research question**: PIRD (Population, Index test, Reference standard, Diagnosis) for DTA;
…

Read the whole file at its exact version.

How to install

The exact contents, by fingerprint
mdr add aperivue/medsci-skills/meta-analysis@sha256:d93ba5e580101185

The line at the top of this page pins the label git:20261016.b7736c3, 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_4ul4mav2hq7mwumq.svg)](https://markdownregistry.com/a/art_4ul4mav2hq7mwumq)

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

Versions

The registry has recorded 11 versions of this file, between Jul 22, 2026 and Oct 16, 2026, about one every 9 days.

versioncommittedcommitsizeaudit
git:20261016.b7736c3 latest2026-10-16 b7736c3 36,784 BA view · diff
git:20261004.788116b2026-10-04 788116b 35,082 BA view · diff
git:20261004.47b8c6b2026-10-04 47b8c6b 34,600 BA view · diff
git:20261003.efd513d2026-10-03 efd513d 34,631 BA view · diff
git:20261003.273af7d2026-10-03 273af7d 34,389 BA view · diff
git:20260930.c8ed96c2026-09-30 c8ed96c 34,283 BA view · diff
git:20260819.bd9e30b2026-08-19 bd9e30b 46,945 BA view · diff
git:20260814.37834b72026-08-14 37834b7 46,982 BA view · diff
git:20260811.51721232026-08-11 5172123 45,502 BA view · diff
git:20260809.670d11a2026-08-09 670d11a 45,157 BA view · diff
git:20260722.9e6bdab2026-07-22 9e6bdab 40,889 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 (36784 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

aperivue/medsci-skills · 366 stars · license MIT · pushed 2026-11-02 · branch main

API

GET https://markdownregistry.com/api/v1/artifacts/art_4ul4mav2hq7mwumq
GET https://markdownregistry.com/api/v1/resolve?ref=aperivue/medsci-skills/meta-analysis
GET https://markdownregistry.com/api/v1/blob/d93ba5e580101185f31aa0b114428b570ba0294217c242ba4bb1b8569cafa2b9

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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