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 mediana-fundamentalsgit 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/mediana-fundamentals)<a href="https://agentmods.dev/skills/choxos/biostatagent/mediana-fundamentals"><img src="https://agentmods.dev/badge/skills/choxos/biostatagent/mediana-fundamentals/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/mediana-fundamentals"><img src="https://agentmods.dev/badge/skills/choxos/biostatagent/mediana-fundamentals.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 | $0.00038 | $0.04047 |
| Opus 5 | $0.00019 | $0.02024 |
| Sonnet 5 | $0.00008 | $0.00809 |
| Haiku 4.5 | $0.00004 | $0.00405 |
Grade A, and why
mediana-fundamentals 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 12d 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 — 529 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Mediana Fundamentals
When to Use This Skill
- Building Clinical Scenario Evaluation (CSE) frameworks
- Defining data models with various endpoint distributions
- Configuring analysis models with statistical tests
- Setting up multiplicity adjustment procedures
- Defining evaluation criteria (power metrics)
- Running comprehensive trial simulations
- Generating Word-based simulation reports
Package Overview
Mediana by Gautier Paux and Alex Dmitrienko provides a general framework for clinical trial simulations based on the Clinical Scenario Evaluation approach (Benda et al., 2010).
CSE Framework Components
- Data Models - Define data generation process
- Analysis Models - Define statistical methods
- Evaluation Models - Define success criteria
Data Model
Initialization
data.model <- DataModel()
OutcomeDist - Outcome Distribution
Specifies the distribution of patient outcomes.
OutcomeDist(
outcome.dist = "NormalDist", # Distribution type
outcome.type = "standard" # "standard" or "event"
)
Supported Distributions:
| Distribution | Parameters | Use Case |
|---|---|---|
UniformDist |
max |
Uniform outcomes |
NormalDist |
mean, sd |
Continuous endpoints |
BinomDist |
prop |
Binary endpoints |
BetaDist |
a, b |
Proportions |
ExpoDist |
rate |
Time-to-event |
WeibullDist |
shape, scale |
Survival with shape |
TruncatedExpoDist |
rate, trunc |
Truncated survival |
PoissonDist |
lambda |
Count data |
NegBinomDist |
dispersion, mean |
Overdispersed counts |
MultinomialDist |
prob |
Categorical outcomes |
Multivariate Distributions:
| Distribution | Parameters | Use Case |
|---|---|---|
MVNormalDist |
par, corr |
Correlated continuous |
MVBinomDist |
par, corr |
Correlated binary |
MVExpoDist |
par, corr |
Correlated survival |
MVExpoPFSOSDist |
par, corr |
PFS/OS endpoints |
MVMixedDist |
type, par, corr |
Mixed endpoint types |
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.
- 12d ago First seen · 529 lines · 38 tokens per session scan A 847c57cd0afd
mediana-fundamentals is a skill published in the GitHub repository choxos/BiostatAgent (11 stars, last pushed 3mo ago), licensed MIT. It adds 38 tokens to every session and 4,047 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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