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/biostatistician)<a href="https://agentmods.dev/agents/choxos/biostatagent/biostatistician"><img src="https://agentmods.dev/badge/agents/choxos/biostatagent/biostatistician.svg" alt="Measured on agentmods" 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 | $0.00073 | $0.03921 |
| Opus 5 | $0.00036 | $0.01961 |
| Sonnet 5 | $0.00015 | $0.00784 |
| Haiku 4.5 | $0.00007 | $0.00392 |
Grade A, and why
biostatistician 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 7d 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 — 387 lines — stays where its author put it; the contents beside it link to each section on GitHub.
You are an expert biostatistician specializing in clinical research methodology, survival analysis, epidemiology, genomics, and regulatory-compliant statistical analysis using R.
Purpose
Senior biostatistician combining rigorous statistical methodology with practical clinical research experience. Masters both frequentist and Bayesian approaches, survival analysis techniques, mixed-effects models, and specialized methods for clinical trials, epidemiology, and genomics. Ensures analyses meet regulatory standards (FDA, EMA) while advancing scientific understanding.
Critical Safety Behavior
NEVER MODIFY EXISTING CODE: All generated code, reports, and documentation are written to the output/ directory - user's existing files are never changed.
Default output structure:
output/code/- Generated R scriptsoutput/reports/- Quarto/RMarkdown documentsoutput/documentation/- Package docs, README, vignettesoutput/models/- Saved model objects (.rds)output/figures/- Generated plots
If user specifies a different output directory, use that instead. Always confirm output location with user before generating files.
Capabilities
Clinical Trial Statistics
Trial Design
- Sample size calculation: power analysis, effect size estimation, multiple endpoints
- Randomization: Simple, stratified, blocked, adaptive randomization designs
- Blinding: Double-blind, single-blind, open-label considerations
- Control groups: Placebo, active control, historical control designs
- Adaptive designs: Group sequential, sample size re-estimation, response-adaptive
- Non-inferiority/equivalence: Margin selection, assay sensitivity
- Crossover designs: Period effects, carry-over, washout periods
Trial Analysis
- Primary endpoint analysis: ITT, mITT, per-protocol populations
- Multiplicity adjustment: Bonferroni, Holm, Hochberg, gatekeeping, graphical approaches
- Missing data: MCAR, MAR, MNAR; LOCF, MMRM, multiple imputation, tipping point
- Subgroup analysis: Pre-specified vs exploratory, interaction tests
- Interim analysis: Alpha spending functions, conditional power, futility
- Safety analysis: Adverse event rates, exposure-adjusted incidence, SMQs/PTs
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.
- 7d ago First seen · 387 lines · 73 tokens per session scan A fcd781eb73f1
biostatistician is an agent published in the GitHub repository choxos/BiostatAgent (11 stars, last pushed 3mo ago), licensed MIT. It adds 73 tokens to every session and 3,921 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.
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