systematic-review-epi

systematic-review-epi is a skill for Claude Code, Codex from xjtulyc/awesome-rosetta-skills. It costs 36 tokens per session (5,745 once invoked), scanned A, original, no licence file.

A toolkit for combining results from multiple epidemiology studies into one evidence review. It includes meta-regression, checks for publication bias, GRADE evidence assessment, and forest plots.

In plain words
What is it for?
Use it to conduct systematic reviews, examine study differences, test for publication bias, rate confidence in evidence, and display combined results.
Why use it?
It helps reviewers compare studies systematically and show how differences between studies or missing results may affect the overall conclusion.

Skill for Claude CodeCodex

Which agent this was written for is unclear — body not stored (licence); the path alone says nothing.

Good fit Use it to conduct systematic reviews, examine study differences, test for publication bias, rate confidence in evidence, and display combined results.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/xjtulyc/awesome-rosetta-skills/systematic-review-epi
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 xjtulyc/awesome-rosetta-skills --skill systematic-review-epi
Clone the repo
git clone --depth 1 https://github.com/xjtulyc/awesome-rosetta-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 systematic-review-epi

README.md
[![agentmods](https://agentmods.dev/badge/skills/xjtulyc/awesome-rosetta-skills/systematic-review-epi/github.svg)](https://agentmods.dev/skills/xjtulyc/awesome-rosetta-skills/systematic-review-epi)
Your own site
<a href="https://agentmods.dev/skills/xjtulyc/awesome-rosetta-skills/systematic-review-epi"><img src="https://agentmods.dev/badge/skills/xjtulyc/awesome-rosetta-skills/systematic-review-epi/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 systematic-review-epi

Your own site · 80×15
<a href="https://agentmods.dev/skills/xjtulyc/awesome-rosetta-skills/systematic-review-epi"><img src="https://agentmods.dev/badge/skills/xjtulyc/awesome-rosetta-skills/systematic-review-epi.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 36 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 5,745 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 unknown 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 $0.00036 $0.05745
Opus 5 $0.00018 $0.02873
Sonnet 5 $0.00007 $0.01149
Haiku 4.5 $0.00004 $0.00575

Measured 9d ago against content hash c9ced4a6bebe, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-12, from the pricing page.

Security

Grade A, and why

systematic-review-epi 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 9d 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/17-public-health/systematic-review-epi/SKILL.md · 501 lines

The source is not reproduced here

A licence we could not identify

The repository carries a LICENSE file, but it is custom or dual enough that GitHub cannot name it and neither can this catalogue. Unknown terms are not permission, so the body is not copied here. Read the licence at the source and decide for yourself.

Read it on GitHub

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. 9d ago First seen · 501 lines · 36 tokens per session scan A c9ced4a6bebe

Subscribe to this mod's changes

systematic-review-epi is a skill published in the GitHub repository xjtulyc/awesome-rosetta-skills (34 stars, last pushed 5mo ago), with no licence file. It adds 36 tokens to every session and 5,745 once invoked, about $0.0002 per session on Opus 5. 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 2026-09-03.

Related

Other skills, from other repositories

environment-life-review-forge

Adapts evidence synthesis workflows for environmental, ecological, biomedical, and life-science questions. Use for PECO/PICO frameworks, exposure-outcome reviews, ecological heterogeneity, dose-response evidence, risk-of-bias planning, environmental indicators, NDVI or vegetation-index models, partial least squares…

Vambrocop/EvidenceForge · 337 tokens

easymeta

A workflow for systematic reviews, evidence maps, and meta-analyses in medicine, public health, and natural or environmental sciences.

Rimagination/easymeta · 172 tokens

meta-analysis-forge

Designs and audits first-order meta-analyses of primary studies. Use for effect-size extraction, effect-size harmonization, fixed/random/multilevel models, robust variance estimation, heterogeneity, prediction intervals, meta-regression, publication-bias diagnostics, sensitivity checks, coding sheets, reproducible…

Vambrocop/EvidenceForge · 101 tokens

evidence-synthesis-forge

Orchestrates systematic reviews, scoping reviews, evidence maps, meta-analyses, umbrella reviews, and AI-assisted evidence synthesis. Use when designing protocols, eligibility criteria, search strategies, screening workflows, coding manuals, effect-size plans, synthesis reports, or reproducible evidence-review…

Vambrocop/EvidenceForge · 65 tokens

ma-manuscript-quarto

Draft and render a meta-analysis manuscript with Quarto using an IMRaD structure and embedded figures/tables. Use when preparing the final paper from analysis outputs.

htlin222/meta-pipe · 39 tokens

ma-end-to-end

End-to-end AI-assisted meta-analysis pipeline orchestration from TOPIC.txt to final manuscript and reviewer responses. Use when the user provides a topic and wants the full meta-analysis workflow, tracking, and final paper.

htlin222/meta-pipe · 47 tokens