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.
npx skills add choxos/BiostatAgent --skill nma-methodologygit clone --depth 1 https://github.com/choxos/BiostatAgentWrote 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.
[](https://agentmods.dev/skills/choxos/biostatagent/nma-methodology)<a href="https://agentmods.dev/skills/choxos/biostatagent/nma-methodology"><img src="https://agentmods.dev/badge/skills/choxos/biostatagent/nma-methodology/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.
<a href="https://agentmods.dev/skills/choxos/biostatagent/nma-methodology"><img src="https://agentmods.dev/badge/skills/choxos/biostatagent/nma-methodology.svg" alt="Reviewed on agentmods" width="80" height="20"></a>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.
| Model | Per session | Once invoked |
|---|---|---|
| Fable 5.1 | $0.00034 | $0.02044 |
| Opus 5.5 | $0.00014 | $0.00818 |
| Sonnet 5.5 | $0.00007 | $0.00409 |
| Haiku 4.5 | $0.00003 | $0.00204 |
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 1mo 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.
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
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.
- 1mo ago First seen · 348 lines · 34 tokens per session scan A 89644aea32b8
nma-methodology is a skill published in the GitHub repository choxos/BiostatAgent (12 stars, last pushed 5mo ago), licensed MIT. It adds 34 tokens to every session and 2,044 once invoked, about $0.0001 per session on Opus 5.5. 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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