clinical-decision-support

clinical-decision-support is a skill for Claude Code from x-cmd/skill. It costs 97 tokens per session (6,054 once invoked), scanned A, a copy of clinical-decision-support, Apache-2.0.

A document-writing tool for evidence-based clinical and pharmaceutical analysis. It covers group-level patient cohort analyses and treatment recommendation reports, including evidence ratings and decision algorithms.

In plain words
What is it for?
Use it to compare biomarker-defined patient groups, summarise outcomes, grade evidence, and draft treatment recommendations for research or regulatory contexts.
Why use it?
It helps turn clinical evidence and patient-group results into structured documents for research, drug development, and guideline work. It is intended for population or study-level analysis rather than an individual bedside treatment plan.

Skill for Claude Code

Written for Claude Code: allowed-tools in frontmatter.

Needs its repository: it runs a file that does not travel with it, so clone the repository first. The line is python scripts/generate_schematic.py "your diagram description" -o figures/output.png.

Good fit Use it to compare biomarker-defined patient groups, summarise outcomes, grade evidence, and draft treatment recommendations for research or regulatory contexts.

Compare 6 skills from other repositories ↓
Install

Getting it into your agent

It runs from inside its repository, so the clone comes first — what it calls does not travel with the file alone.

Clone the repo
git clone --depth 1 https://github.com/x-cmd/skill
agentmods
npx agentmods add skills/x-cmd/skill/clinical-decision-support

Made for: Claude Code.

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 clinical-decision-support

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

Your own site · 80×15
<a href="https://agentmods.dev/skills/x-cmd/skill/clinical-decision-support"><img src="https://agentmods.dev/badge/skills/x-cmd/skill/clinical-decision-support.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 97 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 6,054 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 94% 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 $0.00097 $0.06054
Opus 5.5 $0.00039 $0.02422
Sonnet 5.5 $0.00019 $0.01211
Haiku 4.5 $0.00010 $0.00605

Measured 1mo ago against content hash dba3621421df, method: parsed. Prices are Anthropic first-party input rates as of 2026-10-07, 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 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

94% identical to clinical-decision-support — 16 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.

data/k-dense-ai/clinical-decision-support/SKILL.md · 512 lines

How it starts

The opening of the file, as written. The whole thing — 512 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 · 512 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 First seen · 512 lines · 97 tokens per session scan A dba3621421df

Subscribe to this mod's changes

clinical-decision-support is a skill published in the GitHub repository x-cmd/skill (26 stars, last pushed 3mo ago), licensed Apache-2.0. It adds 97 tokens to every session and 6,054 once invoked, about $0.0004 per session on Opus 5.5. A static security scan graded it A with 0 findings. It is 94% identical to clinical-decision-support, differing in 16 lines, and is treated as a copy.

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