clinical-decision-support

A guide for creating structured clinical decision-support documents for pharmaceutical and clinical research. It covers group patient analyses and evidence-based treatment recommendation reports.

In plain words
What is it for?
Use it to prepare biomarker-based cohort analyses and treatment recommendation reports for research, drug development, regulatory work, or clinical guidelines—not individual bedside treatment plans.
Why use it?
It helps turn clinical evidence and cohort results into consistent documents with outcome comparisons, evidence grading, and decision algorithms.

Skill for Claude CodeCodex

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.

agentmods
npx agentmods add skills/synthetic-sciences/openscience/clinical-decision-support
Any agent
npx skills add synthetic-sciences/openscience --skill clinical-decision-support
Clone the repo
git clone --depth 1 https://github.com/synthetic-sciences/openscience

Made for: Claude Code, Codex.

Per session 97 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 5,883 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. Scan, not verified.
Origin original No closer match found 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 $0.00097 $0.05883
Opus 5 $0.00048 $0.02942
Sonnet 5 $0.00019 $0.01177
Haiku 4.5 $0.00010 $0.00588

Measured yesterday against content hash 0bc44b745344, method: parsed. Prices are Anthropic first-party input rates as of 2026-08-30, from the pricing page.

Security

Grade A, and why

clinical-decision-support 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 yesterday.

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

Copies of this mod

8 near-identical copies found in the catalogue:

backend/cli/skills/biology/clinical-decision-support/SKILL.md · 508 lines

How it starts

The opening of the file, as written. The whole thing — 508 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 optimized for pharmaceutical research, regulatory submissions, and clinical guideline development.

Note: For individual patient treatment plans at the bedside, use the treatment-plans skill instead. 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 venue-templates skill's medical_journal_styles.md for guidance on structured abstracts, evidence language, and CONSORT/STROBE compliance.

Capabilities

Document Types

Patient Cohort Analysis

  • Biomarker-based patient stratification (molecular subtypes, gene expression, IHC)
  • Molecular subtype classification (e.g., GBM mesenchymal-immune-active vs proneural, breast cancer subtypes)
  • Outcome metrics with statistical analysis (OS, PFS, ORR, DOR, DCR)
  • Statistical comparisons between subgroups (hazard ratios, p-values, 95% CI)
  • Survival analysis with Kaplan-Meier curves and log-rank tests
  • Efficacy tables and waterfall plots
  • Comparative effectiveness analyses
  • Pharmaceutical cohort reporting (trial subgroups, real-world evidence)

Treatment Recommendation Reports

  • Evidence-based treatment guidelines for specific disease states
  • Strength of recommendation grading (GRADE system: 1A, 1B, 2A, 2B, 2C)
  • Quality of evidence assessment (high, moderate, low, very low)
  • Treatment algorithm flowcharts with TikZ diagrams
  • Line-of-therapy sequencing based on biomarkers
  • Decision pathways with clinical and molecular criteria
  • Pharmaceutical strategy documents
  • Clinical guideline development for medical societies

Read the full file on GitHub · 508 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. yesterday First seen · 508 lines · 97 tokens per session scan A 0bc44b745344

Subscribe to this mod's changes

clinical-decision-support is a skill published in the GitHub repository synthetic-sciences/openscience (3,362 stars, last pushed 2d ago), licensed Apache-2.0. It adds 97 tokens to every session and 5,883 once invoked, about $0.0005 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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