agentmods.dev

meta-analysis

meta-analysis is a skill for Claude Code from Aperivue/medsci-skills. It costs 80 tokens per session (11,516 once invoked), scanned A, original, MIT.

A workflow for systematic reviews, which collect and assess all relevant studies on a medical question, and meta-analysis, which combines their results statistically. It covers planning, study screening, bias checks, analysis, and PRISMA reporting.

In plain words
What is it for?
Use it to prepare a PROSPERO protocol, search and screen studies, extract data, assess study quality, combine results, and prepare a manuscript.
Why use it?
It keeps a review organised and makes its methods easier to check and report. It also supports different methods for diagnostic tests and medical treatments.

Skill for Claude Code

Written for Claude Code: ${CLAUDE_SKILL_DIR} variable. Also seen: model in frontmatter.

Part of the medsci-analysis plugin — 6 skills shipped together

not rated 291repo +8 2d ago A scan SkillSpector: pass 80 tokens original MIT

Good fit Use it to prepare a PROSPERO protocol, search and screen studies, extract data, assess study quality, combine results, and prepare a manuscript.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/aperivue/medsci-skills/meta-analysis
View source ↗ Aperivue/medsci-skills aperivue.com
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 Aperivue/medsci-skills --skill meta-analysis
Clone the repo
git clone --depth 1 https://github.com/Aperivue/medsci-skills

Made for: Claude Code.

Or install medsci-analysis, the plugin that ships this one along with the rest of its 6 skills.

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/aperivue/medsci-skills/meta-analysis/github.svg)](https://agentmods.dev/skills/aperivue/medsci-skills/meta-analysis)
Your own site
<a href="https://agentmods.dev/skills/aperivue/medsci-skills/meta-analysis"><img src="https://agentmods.dev/badge/skills/aperivue/medsci-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/aperivue/medsci-skills/meta-analysis"><img src="https://agentmods.dev/badge/skills/aperivue/medsci-skills/meta-analysis.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 80 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 11,516 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. Third-party audits
  • NVIDIA SkillSpector pass 7 Sept 2026
How audits are shown
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 $0.00080 $0.11516
Opus 5 $0.00040 $0.05758
Sonnet 5 $0.00016 $0.02303
Haiku 4.5 $0.00008 $0.01152

Measured 10d ago against content hash ad348da8d8ea, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-09, 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 10d ago.

The scan reads SKILL.md. This mod also ships 11 executable files (references/ai_pre_screening_template.py, scripts/check_exclusion_code_validity_challenge/verify.sh, scripts/check_exclusion_code_validity.py, …), listed below but not scanned — reading those needs a real analyzer, not pattern matching.

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 · 699 lines

How it starts

The opening of the file, as written. The whole thing — 699 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Meta-Analysis Skill

You are helping a medical researcher conduct a systematic review and meta-analysis. You support the full pipeline from protocol development to submission-ready manuscript, with specialized support for diagnostic test accuracy (DTA) meta-analyses.

Communication Rules

  • Communicate with the user in their preferred language.
  • All output documents, code, and checklists in English.
  • Medical terminology always in English.

Reference Files

Built-in References (${CLAUDE_SKILL_DIR}/references/)

  • PROSPERO template: ${CLAUDE_SKILL_DIR}/references/PROSPERO_template.md -- field-by-field guide with word limits, pitfalls checklist
  • ICMJE COI guide: ${CLAUDE_SKILL_DIR}/references/icmje_coi_guide.md -- batch generation, python-docx pitfalls, form structure
  • R templates: ${CLAUDE_SKILL_DIR}/references/r_templates.md
  • Checklists: ${CLAUDE_SKILL_DIR}/references/checklists/
    • PRISMA_DTA.md -- 27-item checklist
    • QUADAS3.md -- current recommended DTA tool: 6 phases, 4 domains, 20 signalling questions, assessed per accuracy estimate
    • QUADAS2.md -- the 2011 tool: 4 domains + 10 signalling questions (use when appraising or reproducing a review that used it)
    • ROBINS_I.md -- 7 domains + pre-assessment + synthesis recommendation
    • RoB2.md -- 5 domains + signalling questions + overall judgment
    • PROBAST.md -- 4 domains + AI extension + validation studies
    • NOS.md -- Cohort (8 items) + Case-control (8 items) + star interpretation
    • JBI_Case_Series.md -- 10-item critical appraisal checklist for case series
  • Phase 9 Co-author Circulation: ${CLAUDE_SKILL_DIR}/references/phase9_circulation.md -- thread continuity, attachment scope, recipient structure, 7-day window
  • Phase 10 Self-Audit Recovery: ${CLAUDE_SKILL_DIR}/references/phase10_recovery.md -- trigger conditions, 12-step rebuild sprint, PROSPERO amendment, re-circulation framing
  • Data integrity checklist: ${CLAUDE_SKILL_DIR}/references/data_integrity_checklist.md -- DI-1~DI-9 extraction/synthesis guardrails (prior anonymized MA projects)
  • Review orchestration: ${CLAUDE_SKILL_DIR}/references/review_orchestration.md -- RO-1~RO-5 circulation discipline (extends phase9_circulation.md)
  • Submission package drift: ${CLAUDE_SKILL_DIR}/references/submission_package_drift.md -- multi-journal folder hygiene, DO_NOT_EDIT_HERE gate, _build.sh pattern
  • Post-submission release ops: ${CLAUDE_SKILL_DIR}/references/post_submission_release_ops.md -- Zenodo DOI gating, tag-cleanup gates, reject-retarget versioning
  • Empirical peer-review lessons: ${CLAUDE_SKILL_DIR}/references/empirical_lessons.md -- 16 accumulated SR-MA peer-review / submission lessons (2026-05/06) that drive the Phase 4 extraction-form schema, Phase 4c QC, and Phase 8 submission gates. Load before designing the extraction form and before submission.

Read the full file on GitHub · 699 lines

Files

What ships with it

49 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. 10d ago First seen · 699 lines · 80 tokens per session scan A ad348da8d8ea

Subscribe to this mod's changes

meta-analysis is a skill published in the GitHub repository Aperivue/medsci-skills (291 stars, last pushed 2d ago), licensed MIT. It adds 80 tokens to every session and 11,516 once invoked, about $0.0004 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 2026-08-30.

Claude CodeResearchScientificbiostatisticsclaude-skillsclinical-researchdiagnostic-accuracyliterature-review
Related

Other skills, from other repositories

clinical-trials-search

Search ClinicalTrials.gov with natural language queries. Find clinical trials, enrollment, and outcomes using Valyu semantic search.

beita6969/ScienceClaw · 28 tokens

shidi

A Chinese-language research assistant role that turns a user’s ideas into literature reviews, experiment plans, figures and organised data.

IcyCreamDAS/shidi-skill · 126 tokens

clinical-research

Use when designing a prospective clinical study before submission — selecting and classifying endpoints (primary / key-secondary / exploratory, with surrogate-endpoint flagging), estimating sample size and power for two-arm designs (means / proportions / survival), or scoring a study plan for feasibility and a GO /…

bestagentkits/agency-skills · 152 tokens

sr-search-record

An automated literature-review search and screening workflow using OpenAlex, an open database and API for scholarly research, and Zotero, a reference manager.

qiaomiaojoe/ai-academic-workflow · 350 tokens

critical-paper-reading

A paper-reading workflow for critically examining one research paper from a PDF or Zotero item. Zotero is a tool for organising research papers and references.

qiaomiaojoe/ai-academic-workflow · 0 tokens

topic-hypothesis-testing

A Chinese-language academic research workflow for turning a research idea into testable hypotheses about cause-and-effect relationships.

qiaomiaojoe/ai-academic-workflow · 190 tokens