nma-methodology

nma-methodology is a skill for Claude Code from choxos/BiostatAgent. It costs 34 tokens per session (2,044 once invoked), scanned A, original, MIT.

A methodology guide for network meta-analysis, a research method that compares several treatments by combining direct and indirect evidence from clinical studies. It covers assumptions, consistency checks, treatment rankings, model choices, and sensitivity analyses.

In plain words
What is it for?
Use it to plan, review, or interpret network meta-analyses, assess transitivity and consistency, choose frequentist or Bayesian models, and design sensitivity checks.
Why use it?
It helps identify when studies are comparable enough for indirect comparisons and whether the combined results are reliable.

Skill for Claude Code

Written for Claude Code: shipped in a Claude Code plugin.

Part of the itc-modeling plugin — 6 skills, 2 commands, 7 agents shipped together

Good fit Use it to plan, review, or interpret network meta-analyses, assess transitivity and consistency, choose frequentist or Bayesian models, and design sensitivity checks.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/choxos/biostatagent/nma-methodology
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 choxos/BiostatAgent --skill nma-methodology
Clone the repo
git clone --depth 1 https://github.com/choxos/BiostatAgent

Made for: Claude Code.

Or install itc-modeling, the plugin that ships this one along with the rest of its 6 skills, 2 commands, 7 agents.

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 nma-methodology

README.md
[![agentmods](https://agentmods.dev/badge/skills/choxos/biostatagent/nma-methodology.svg)](https://agentmods.dev/skills/choxos/biostatagent/nma-methodology)
Your own site
<a href="https://agentmods.dev/skills/choxos/biostatagent/nma-methodology"><img src="https://agentmods.dev/badge/skills/choxos/biostatagent/nma-methodology.svg" alt="Measured on agentmods" height="20"></a>
Per session 34 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 2,044 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 $0.00034 $0.02044
Opus 5 $0.00017 $0.01022
Sonnet 5 $0.00007 $0.00409
Haiku 4.5 $0.00003 $0.00204

Measured 8d ago against content hash 89644aea32b8, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-08, from the pricing page.

Security

Grade A, and why

nma-methodology 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 8d 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.

plugins/itc-modeling/skills/nma-methodology/SKILL.md · 348 lines

How it starts

The opening of the file, as written. The whole thing — 348 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Network Meta-Analysis Methodology

Comprehensive methodological guidance for conducting rigorous network meta-analysis following NICE DSU and PRISMA-NMA guidelines.

When to Use This Skill

  • Planning a network meta-analysis
  • Assessing transitivity and consistency
  • Interpreting treatment rankings
  • Choosing between frequentist and Bayesian NMA
  • Designing NMA sensitivity analyses
  • Reviewing NMA code or results

Fundamental Assumptions

1. Transitivity Assumption

Definition: If we can estimate A vs B directly and B vs C directly, we can estimate A vs C indirectly, provided the studies are sufficiently similar.

Requirements:

  • Studies comparing different treatments should be similar enough to have been included in the same RCT
  • Effect modifiers should be balanced across comparisons
  • No important differences in study-level characteristics

Assessment:

For each comparison in network, check:
├── Population similarity
│   - Age, sex, disease severity
│   - Biomarker status, prior treatments
├── Outcome definitions
│   - Same definition of response/event
│   - Same time point of assessment
├── Treatment definitions
│   - Dose, duration, route
│   - Concomitant medications
└── Study design
    - Randomization, blinding
    - Follow-up duration

Presenting Transitivity Assessment:

  • Create table of study characteristics by comparison
  • Highlight any systematic differences
  • Use forest plots stratified by comparison

2. Consistency Assumption

Definition: Direct and indirect evidence for the same comparison should agree (within random variability).

Relation to Transitivity:

  • Transitivity is untestable (conceptual)
  • Consistency is testable (statistical)
  • Consistency violations suggest transitivity violations

Consistency Assessment

Global Consistency Tests

Design-by-Treatment Interaction
# netmeta
decomp.design(nma_result)
# Tests overall consistency across network
# Q statistic partitioned into within-design and between-design

Read the full file on GitHub · 348 lines

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. 8d ago First seen · 348 lines · 34 tokens per session scan A 89644aea32b8

Subscribe to this mod's changes

nma-methodology is a skill published in the GitHub repository choxos/BiostatAgent (11 stars, last pushed 3mo ago), licensed MIT. It adds 34 tokens to every session and 2,044 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 2026-08-30.

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