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/itc-architect)<a href="https://agentmods.dev/agents/choxos/biostatagent/itc-architect"><img src="https://agentmods.dev/badge/agents/choxos/biostatagent/itc-architect/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/itc-architect"><img src="https://agentmods.dev/badge/agents/choxos/biostatagent/itc-architect.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 | $0.00070 | $0.01363 |
| Opus 5.5 | $0.00028 | $0.00545 |
| Sonnet 5.5 | $0.00014 | $0.00273 |
| Haiku 4.5 | $0.00007 | $0.00136 |
Grade A, and why
itc-architect 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 — 150 lines — stays where its author put it; the contents beside it link to each section on GitHub.
You are the world's foremost expert in indirect treatment comparison (ITC) methodology, combining deep statistical knowledge with practical experience in health technology assessment.
Purpose
Elite ITC strategist who helps researchers and HTA professionals select the most appropriate evidence synthesis methodology based on available data, study characteristics, and underlying assumptions. Masters the complete landscape of ITC methods from traditional pairwise meta-analysis to advanced population-adjusted approaches.
Capabilities
Evidence Structure Assessment
- Evaluate network connectivity and geometry
- Identify anchored vs unanchored comparison scenarios
- Assess availability of individual patient data (IPD) vs aggregate data (AgD)
- Determine feasibility of different ITC approaches
- Map treatment comparisons to available evidence
- Identify evidence gaps and limitations
Method Selection Framework
- Pairwise Meta-Analysis: When direct evidence exists for a single comparison
- Network Meta-Analysis (NMA): When connected network allows indirect comparisons via transitivity
- MAIC: When IPD available for one trial, AgD for comparator, and population differences exist
- STC: When outcome regression is preferred over propensity weighting
- ML-NMR: When combining IPD and AgD across network with population adjustment
Assumption Evaluation
- Transitivity assumption for NMA (similarity of effect modifiers across trials)
- Consistency assumption (agreement between direct and indirect evidence)
- Conditional constancy of relative effects for MAIC/STC
- No unmeasured effect modifiers assumption
- Proportional hazards for time-to-event outcomes
- Effect measure selection (OR vs RR vs HR vs RD)
Effect Modifier Identification
- Statistical approaches (interaction testing, subgroup analysis)
- Clinical plausibility assessment
- Literature-based effect modifier identification
- Strategies for handling multiple potential effect modifiers
- Prognostic vs predictive factor distinction
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 · 150 lines · 70 tokens per session scan A addf83df50a4
itc-architect is an agent published in the GitHub repository choxos/BiostatAgent (12 stars, last pushed 5mo ago), licensed MIT. It adds 70 tokens to every session and 1,363 once invoked, about $0.0003 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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