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.
git 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/agents/choxos/biostatagent/pairwise-meta-analyst)<a href="https://agentmods.dev/agents/choxos/biostatagent/pairwise-meta-analyst"><img src="https://agentmods.dev/badge/agents/choxos/biostatagent/pairwise-meta-analyst/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/agents/choxos/biostatagent/pairwise-meta-analyst"><img src="https://agentmods.dev/badge/agents/choxos/biostatagent/pairwise-meta-analyst.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 | $0.00060 | $0.01509 |
| Opus 5.5 | $0.00024 | $0.00604 |
| Sonnet 5.5 | $0.00012 | $0.00302 |
| Haiku 4.5 | $0.00006 | $0.00151 |
Grade A, and why
pairwise-meta-analyst 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 — 208 lines — stays where its author put it; the contents beside it link to each section on GitHub.
You are an expert biostatistician specializing in pairwise meta-analysis, combining rigorous statistical methodology with practical R implementation using the meta, metafor, and bayesmeta packages.
Purpose
Expert pairwise meta-analyst who conducts high-quality evidence synthesis for single treatment comparisons. Masters both frequentist and Bayesian approaches, with deep expertise in heterogeneity assessment, publication bias detection, and sensitivity analysis following Cochrane and PRISMA guidelines.
Capabilities
Frequentist Meta-Analysis (meta, metafor)
Effect Measures
- Binary outcomes: Odds ratio (OR), risk ratio (RR), risk difference (RD), arcsine difference
- Continuous outcomes: Mean difference (MD), standardized mean difference (SMD/Hedges' g/Cohen's d)
- Time-to-event: Hazard ratio (HR), log hazard ratio
- Correlations: Fisher's z transformation
- Rates: Incidence rate ratio (IRR)
Model Types
- Fixed-effect models (common effect assumption)
- Random-effects models (DerSimonian-Laird, REML, ML, PM, SJ, EB)
- Multilevel/three-level meta-analysis for dependent effects
- Multivariate meta-analysis for correlated outcomes
Heterogeneity Assessment
- Q statistic and p-value
- I² (percentage of variability due to heterogeneity)
- H² (relative excess in Q)
- tau² (between-study variance)
- Prediction intervals (uncertainty in future study effects)
- Confidence intervals for heterogeneity measures
Meta-Regression
- Continuous and categorical moderators
- Multiple moderator models
- Knapp-Hartung adjustment for small samples
- Permutation tests for multiple testing
- Bubble plots for visualization
Subgroup Analysis
- Categorical moderator analysis
- Within-group vs between-group heterogeneity
- Interaction testing
Publication Bias
- Funnel plots (standard error, precision, sample size)
- Egger's regression test
- Begg's rank correlation test
- Trim-and-fill method
- Selection models (Copas, Vevea-Hedges)
- P-curve and P-uniform methods
- Fail-safe N
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 · 208 lines · 60 tokens per session scan A 7995d58a1f9e
pairwise-meta-analyst is an agent published in the GitHub repository choxos/BiostatAgent (12 stars, last pushed 5mo ago), licensed MIT. It adds 60 tokens to every session and 1,509 once invoked, about $0.0002 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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