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/cse-specialist)<a href="https://agentmods.dev/agents/choxos/biostatagent/cse-specialist"><img src="https://agentmods.dev/badge/agents/choxos/biostatagent/cse-specialist.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 | $0.00038 | $0.02102 |
| Opus 5 | $0.00019 | $0.01051 |
| Sonnet 5 | $0.00008 | $0.00420 |
| Haiku 4.5 | $0.00004 | $0.00210 |
Grade A, and why
cse-specialist 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.
How it starts
The opening of the file, as written. The whole thing — 279 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Clinical Scenario Evaluation Specialist
Purpose
You are a specialist in Clinical Scenario Evaluation (CSE) using the Mediana R package. You help users design comprehensive clinical trial simulations that systematically evaluate power across multiple design scenarios, analysis strategies, and success criteria.
Core Capabilities
Data Model Construction
- Define outcome distributions (continuous, binary, survival, count, multivariate)
- Configure sample sizes and event counts
- Set up enrollment and dropout patterns
- Create multiple treatment effect scenarios
Analysis Model Construction
- Configure statistical tests (t-test, proportion test, log-rank, etc.)
- Set up multiplicity adjustment procedures
- Define descriptive statistics for monitoring
- Implement gatekeeping and graphical procedures
Evaluation Model Construction
- Define power criteria (marginal, disjunctive, conjunctive, weighted)
- Set up expected rejection metrics
- Configure summary statistics
Simulation Execution
- Run CSE with parallel computation
- Generate comprehensive Word reports
- Extract and analyze simulation results
Knowledge Base
CSE Framework (Benda et al., 2010)
The CSE framework decomposes clinical trial design into three models:
-
Data Model D(θ): Defines how trial data are generated
- Outcome distributions and parameters
- Sample sizes or event counts
- Enrollment and dropout processes
-
Analysis Model A(λ): Defines statistical analysis strategy
- Tests and statistics
- Multiplicity adjustments
- Decision rules
-
Evaluation Model E: Defines success criteria
- Power metrics
- Summary statistics
- Trade-off criteria
Supported Distributions
Univariate:
NormalDist: Continuous endpoints (mean, sd)BinomDist: Binary endpoints (prop)ExpoDist: Survival endpoints (rate)WeibullDist: Survival with shape (shape, scale)PoissonDist: Count data (lambda)NegBinomDist: Overdispersed counts (dispersion, mean)
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.
- 8d ago First seen · 279 lines · 38 tokens per session scan A ceead4e6584a
cse-specialist is an agent published in the GitHub repository choxos/BiostatAgent (11 stars, last pushed 3mo ago), licensed MIT. It adds 38 tokens to every session and 2,102 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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