meta-analysis

meta-analysis is a skill for Claude Code, Codex from zamushwani/biomedical-ai-skills. It costs 0 tokens per session (12,808 once invoked), scanned A, original, MIT.

A workflow for systematic reviews and meta-analyses, which combine evidence from multiple clinical or preclinical studies. It covers finding studies, screening them, judging their reliability, and statistically combining their results.

In plain words
What is it for?
Use it to write review protocols, search PubMed, Embase, or Cochrane CENTRAL, remove duplicate records, manage screening, calculate effect sizes, pool results, assess differences between studies, and rate certainty.
Why use it?
It organizes review decisions and makes differences between studies, possible bias, and uncertainty visible. This reduces the risk of drawing conclusions from incomplete or incomparable evidence.

Skill for Claude CodeCodex

Written for no agent in particular: nothing here depends on one.

Good fit Use it to write review protocols, search PubMed, Embase, or Cochrane CENTRAL, remove duplicate records, manage screening, calculate effect sizes, pool results, assess differences between studies, and rate certainty.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/zamushwani/biomedical-ai-skills/meta-analysis
Install

Getting it into your agent

One page per mod, every tool's command on it. A separate URL per tool would split the same page into five that compete with each other.

Any agent
npx skills add zamushwani/biomedical-ai-skills --skill meta-analysis
Clone the repo
git clone --depth 1 https://github.com/zamushwani/biomedical-ai-skills

Made for: Claude Code, Codex.

Wrote this? Show the measurements

A badge with what this costs and how it scanned, read live from this page, so it follows the numbers instead of freezing them. Markdown for a README, HTML for a documentation site or a project page.

agentmods badge for meta-analysis

README.md
[![agentmods](https://agentmods.dev/badge/skills/zamushwani/biomedical-ai-skills/meta-analysis/github.svg)](https://agentmods.dev/skills/zamushwani/biomedical-ai-skills/meta-analysis)
Your own site
<a href="https://agentmods.dev/skills/zamushwani/biomedical-ai-skills/meta-analysis"><img src="https://agentmods.dev/badge/skills/zamushwani/biomedical-ai-skills/meta-analysis/github.svg" alt="Measured on agentmods" height="20"></a>

Or the 80×15 button, for a site that already has a row of RSS and ATOM ones. Only the verdict fits; the numbers stay here.

agentmods 80×15 button for meta-analysis

Your own site · 80×15
<a href="https://agentmods.dev/skills/zamushwani/biomedical-ai-skills/meta-analysis"><img src="https://agentmods.dev/badge/skills/zamushwani/biomedical-ai-skills/meta-analysis.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 0 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 12,808 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. A grade says what 26 rules found in the file — not that it is safe.
Origin original No closer match found in the catalogue.
Token cost

What it costs to keep this loaded

Counted locally with the o200k_base tokenizer, which is exact for GPT models; Claude uses its own tokenizer and its counts differ. Treat this as one consistent yardstick across the catalogue rather than a bill. Prices are per million input tokens.

ModelPer sessionOnce invoked
Fable 5.1 $0.00000 $0.12808
Opus 5.5 $0.00000 $0.05123
Sonnet 5.5 $0.00000 $0.02562
Haiku 4.5 $0.00000 $0.01281

Measured 2mo ago against content hash 440480aa4186, method: parsed. Prices are Anthropic first-party input rates as of 2026-10-07, from the pricing page.

Security

Grade A, and why

meta-analysis scanned grade A with 0 findings against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 2mo ago.

A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.

Nothing flagged

None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.

skills/meta-analysis/SKILL.md · 1,165 lines

How it starts

The opening of the file, as written. The whole thing — 1,165 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Meta-Analysis

Systematic review and meta-analysis for clinical and preclinical evidence. Covers protocol registration, search strategy, screening, PRISMA 2020 flow diagrams, risk of bias, pooling with fixed and random effects models, small-study effects, sensitivity diagnostics, network meta-analysis, and GRADE/CINeMA certainty rating. Uses metafor, netmeta, PRISMA2020, synthesisr, and robvis.

When to Use This Skill

Activate when the user requests:

  • A systematic review or meta-analysis protocol
  • Search strategy construction for PubMed, Embase, or Cochrane CENTRAL
  • PRISMA 2020 flow diagram generation
  • Deduplication of records across databases
  • Title/abstract or full-text screening workflows
  • Inter-rater agreement between screeners
  • Risk of bias assessment (RoB 2, ROBINS-I, ROBINS-E, QUADAS-2, Newcastle-Ottawa)
  • Risk of bias visualization (traffic light or summary plots)
  • Data extraction templates for RCTs or observational studies
  • Effect size computation (OR, RR, RD, SMD, MD, ROM, HR)
  • Pooling with equal-effects or random-effects models
  • Heterogeneity quantification (tau^2, I^2, Q) and prediction intervals
  • Subgroup analysis and meta-regression
  • Hazard ratio reconstruction from published Kaplan-Meier curves
  • Forest and funnel plots
  • Publication bias or small-study effect assessment
  • Leave-one-out, influence, or cumulative sensitivity analysis
  • Network meta-analysis, transitivity, inconsistency, or treatment ranking
  • GRADE or CINeMA certainty rating

Inputs

Data Type Format Source
Search results RIS, BibTeX, NBIB, CSV PubMed, Embase, CENTRAL, Web of Science
Record counts Integers per PRISMA stage Search logs, screening software
Extracted outcomes Tabular (study, n, effect, variance) Full-text data extraction
Risk of bias judgements Tabular (study, domain 1..k, overall) RoB 2 / ROBINS-I Excel or manual

Environment

# Core, all actively maintained (versions verified 2026-08)
install.packages(c("metafor", "meta", "PRISMA2020", "robvis", "synthesisr", "irr"))
#   metafor     5.0-1    effect sizes and models
#   meta        8.5-0    alternative interface, GRADE-friendly output
#   PRISMA2020  1.1.4    flow diagrams
#   robvis      0.3.1    risk of bias plots
#   synthesisr  0.4.1    bibliographic import and deduplication
#   irr         0.85     Cohen's and Fleiss' kappa

# Network meta-analysis and bias sensitivity
install.packages(c("netmeta", "metasens", "gemtc", "multinma"))
#   netmeta     3.6-1    frequentist NMA. NOTE: pairwise() is in `meta`
#   metasens    1.5-3    Copas selection model, limit meta-analysis
#   gemtc       1.1-1    Bayesian NMA, JAGS backend
#   multinma    0.9.1    Bayesian NMA, Stan; aggregate + individual patient data

# Programmatic search
install.packages(c("rentrez", "easyPubMed"))
#   rentrez     1.2.4
#   easyPubMed  3.1.6

Read the full file on GitHub · 1,165 lines

Files

What ships with it

7 files beside SKILL.md in the same directory: the scripts, references and assets a skill reads on demand. Not counted in the per-session cost; read them before you install if any of them is executable.

Changes

What this file has done since we first saw it

Hashed on every crawl. A supply-chain change to an agent config is a question of when, not whether, so the history is kept rather than the latest state alone.

  1. 2mo ago First seen · 1,165 lines · 0 tokens per session scan A 440480aa4186

Subscribe to this mod's changes

meta-analysis is a skill published in the GitHub repository zamushwani/biomedical-ai-skills (1 stars, last pushed 1mo ago), licensed MIT. It costs nothing until one of its globs matches a file; then it loads 12,808 tokens. A static security scan graded it A with 0 findings. No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-31.

Related

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