alterlab-clinical-decision

alterlab-clinical-decision is a skill for Claude Code from AlterLab-IEU/AlterLab-Academic-Skills. It costs 140 tokens per session (5,798 once invoked), scanned A, a copy of clinical-decision-support, MIT.

A document-generation tool for group-level clinical and pharmaceutical research. It creates analyses of patient groups divided by biomarkers and treatment recommendation reports with evidence ratings and decision algorithms.

In plain words
What is it for?
Compare outcomes between biomarker-defined patient groups and prepare evidence-based treatment recommendations for research, pharmaceutical, or clinical guideline settings.
Why use it?
It helps turn clinical research findings into structured documents that can support treatment strategy, drug development, or guideline work.

Skill for Claude Code

Written for Claude Code: allowed-tools in frontmatter.

Part of the alterlab-clinical-research plugin — 7 skills shipped together

Good fit Compare outcomes between biomarker-defined patient groups and prepare evidence-based treatment recommendations for research, pharmaceutical, or clinical guideline settings.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/alterlab-ieu/alterlab-academic-skills/alterlab-clinical-decision
Install

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.

Any agent
npx skills add AlterLab-IEU/AlterLab-Academic-Skills --skill alterlab-clinical-decision
Clone the repo
git clone --depth 1 https://github.com/AlterLab-IEU/AlterLab-Academic-Skills

Made for: Claude Code.

Or install alterlab-clinical-research, the plugin that ships this one along with the rest of its 7 skills.

Wrote 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.

agentmods badge for alterlab-clinical-decision

README.md
[![agentmods](https://agentmods.dev/badge/skills/alterlab-ieu/alterlab-academic-skills/alterlab-clinical-decision/github.svg)](https://agentmods.dev/skills/alterlab-ieu/alterlab-academic-skills/alterlab-clinical-decision)
Your own site
<a href="https://agentmods.dev/skills/alterlab-ieu/alterlab-academic-skills/alterlab-clinical-decision"><img src="https://agentmods.dev/badge/skills/alterlab-ieu/alterlab-academic-skills/alterlab-clinical-decision/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.

agentmods 80×15 button for alterlab-clinical-decision

Your own site · 80×15
<a href="https://agentmods.dev/skills/alterlab-ieu/alterlab-academic-skills/alterlab-clinical-decision"><img src="https://agentmods.dev/badge/skills/alterlab-ieu/alterlab-academic-skills/alterlab-clinical-decision.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 140 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 5,798 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. A grade says what 26 rules found in the file — not that it is safe.
Origin 83% copy Near-identical to another mod in the catalogue.
Token cost

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.

ModelPer sessionOnce invoked
Fable 5.1 $0.00140 $0.05798
Opus 5.5 $0.00056 $0.02319
Sonnet 5.5 $0.00028 $0.01160
Haiku 4.5 $0.00014 $0.00580

Measured 1mo ago against content hash 1d2b19c2db08, method: parsed. Prices are Anthropic first-party input rates as of 2026-10-07, from the pricing page.

Security

Grade A, and why

alterlab-clinical-decision 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.

The scan reads SKILL.md. This mod also ships 5 executable files (scripts/biomarker_classifier.py, scripts/build_decision_tree.py, scripts/create_cohort_tables.py, …), listed below but not scanned — reading those needs a real analyzer, not pattern matching.

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.

Origin

This is a copy

83% identical to clinical-decision-support — 183 lines differ, which has more behind it and is treated as the original. This page carries a canonical link to it rather than competing with it.

skills/clinical-research/alterlab-clinical-decision/SKILL.md · 445 lines

How it starts

The opening of the file, as written. The whole thing — 445 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Clinical Decision Support Documents

Description

Generate professional clinical decision support (CDS) documents for pharmaceutical companies, clinical researchers, and medical decision-makers. This skill specializes in analytical, evidence-based documents that inform treatment strategies and drug development:

  1. Patient Cohort Analysis - Biomarker-stratified group analyses with statistical outcome comparisons
  2. Treatment Recommendation Reports - Evidence-based clinical guidelines with GRADE grading and decision algorithms

All documents are generated as publication-ready LaTeX/PDF files for pharmaceutical research, regulatory-support analyses, and clinical guideline development.

Scope and safety: these are decision-support documents for qualified clinicians, medical-affairs teams, and guideline panels — not orders for an individual patient. Every trial result, guideline recommendation, approval status, and grade must come from sources the user supplied or that you retrieved and cited in this session (e.g. via alterlab-pubmed or alterlab-clinicaltrials); never fill them in from memory, because a plausible but wrong hazard ratio or guideline category can propagate into prescribing decisions. Numbers in the examples below are illustrative placeholders. Include an AI-assistance disclosure and a "for expert review" notice in every document.

Note: For individual patient treatment plans at the bedside, use the alterlab-treatment-plans skill instead. For single-patient case reports for journal submission (e.g. CARE-guideline cases), use alterlab-clinical-reports. This skill focuses on group-level analyses and evidence synthesis for pharmaceutical/research settings.

Writing Style: For publication-ready documents targeting medical journals, consult the alterlab-venue-templates skill's medical_journal_styles.md for guidance on structured abstracts, evidence language, and CONSORT/STROBE compliance.

Capabilities

Document Types

Read the full file on GitHub · 445 lines

Changes

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.

  1. 1mo ago Changed · +9 lines 1d2b19c2db08
  2. 1mo ago First seen · 436 lines · 140 tokens per session scan A 6f8ae4ee8d5a

Subscribe to this mod's changes

alterlab-clinical-decision is a skill published in the GitHub repository AlterLab-IEU/AlterLab-Academic-Skills (78 stars, last pushed 3d ago), licensed MIT. It adds 140 tokens to every session and 5,798 once invoked, about $0.0006 per session on Opus 5.5. A static security scan graded it A with 0 findings. It is 83% identical to clinical-decision-support, differing in 183 lines, and is treated as a copy.

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