medical-soap-note-creation

medical-soap-note-creation is a skill for Claude Code, Codex from HKUDS/OpenSpace. It costs 22 tokens per session (1,322 once invoked), scanned A, original, MIT.

A method for turning unstructured clinical encounter information into a SOAP note: subjective report, objective findings, assessment, and plan. It also includes diagnosis codes and care plans.

In plain words
What is it for?
Use it to draft electronic health record notes from encounter summaries, including symptoms, findings, diagnoses, treatment plans, medications, allergies, and history.
Why use it?
It organizes scattered medical information into a standard record format for clinical documentation.

Skill for Claude CodeCodex

Written for no agent in particular: nothing here depends on one.

Good fit Use it to draft electronic health record notes from encounter summaries, including symptoms, findings, diagnoses, treatment plans, medications, allergies, and history.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/hkuds/openspace/medical-soap-note-creation
About the project

OpenSpace is a skill-management layer for AI agents that stores, retrieves, evaluates, shares, and improves reusable workflows. It is intended for people using multiple coding agents who want skills to be reused and refined based on task outcomes. The catalogue provides 200 skills for use with OpenSpace and the agents it supports.

HKUDS/OpenSpace · 7,544 stars · on GitHub

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 HKUDS/OpenSpace --skill medical-soap-note-creation
Clone the repo
git clone --depth 1 https://github.com/HKUDS/OpenSpace

Made for: Claude Code, Codex.

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 medical-soap-note-creation

README.md
[![agentmods](https://agentmods.dev/badge/skills/hkuds/openspace/medical-soap-note-creation/github.svg)](https://agentmods.dev/skills/hkuds/openspace/medical-soap-note-creation)
Your own site
<a href="https://agentmods.dev/skills/hkuds/openspace/medical-soap-note-creation"><img src="https://agentmods.dev/badge/skills/hkuds/openspace/medical-soap-note-creation/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 medical-soap-note-creation

Your own site · 80×15
<a href="https://agentmods.dev/skills/hkuds/openspace/medical-soap-note-creation"><img src="https://agentmods.dev/badge/skills/hkuds/openspace/medical-soap-note-creation.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 22 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 1,322 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. Third-party audits
  • NVIDIA SkillSpector pass 7 Sept 2026
How audits are shown
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 5.1 $0.00022 $0.01322
Opus 5 $0.00011 $0.00661
Sonnet 5 $0.00004 $0.00264
Haiku 4.5 $0.00002 $0.00132

Measured 9d ago against content hash fde1232abf33, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-08, from the pricing page.

Security

Grade A, and why

medical-soap-note-creation 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 9d 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.

benchmarks/gdpval/skills/medical-soap-note-creation/SKILL.md · 181 lines

How it starts

The opening of the file, as written. The whole thing — 181 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Medical SOAP Note Creation

This skill provides a systematic approach to converting unstructured clinical encounter summaries into professional, comprehensive SOAP notes ready for electronic health record documentation.

Overview

SOAP notes organize clinical information into four standard sections:

  • Subjective: Patient's reported symptoms and history
  • Objective: Measurable clinical findings and data
  • Assessment: Clinical diagnosis and reasoning
  • Plan: Treatment strategy and follow-up

Step-by-Step Instructions

Step 1: Extract Key Information

Review the clinical encounter summary and identify:

  • Patient demographics (age, sex, relevant history)
  • Chief complaint and history of present illness
  • Review of systems findings
  • Physical examination results
  • Diagnostic test results (labs, imaging)
  • Current medications and allergies
  • Past medical/surgical history

Step 2: Structure the SOAP Note

Organize information into the four SOAP sections:

Subjective (S):

  • Chief complaint in patient's own words
  • History of present illness (onset, duration, severity, aggravating/relieving factors)
  • Review of systems (pertinent positives and negatives)
  • Relevant past medical, family, and social history

Objective (O):

  • Vital signs
  • Physical examination findings by system
  • Laboratory and imaging results
  • Current medication list

Assessment (A):

  • Primary diagnosis with ICD-10 code(s)
  • Differential diagnoses if applicable
  • Clinical reasoning connecting findings to diagnosis

Plan (P):

  • Medications (new prescriptions, changes, discontinuations)
  • Treatments and procedures
  • Patient education provided
  • Follow-up arrangements
  • Return precautions

Step 3: Write the Complete Note

Compose the full SOAP note in a single write_file operation to ensure completeness and efficiency:

from write_file import write_file

soap_note = """SOAP NOTE
Date: [Encounter Date]
Patient: [Patient Name/ID]

SUBJECTIVE:
[Patient's reported symptoms and history in organized paragraphs]

OBJECTIVE:
[Clinical findings and data in organized sections]

ASSESSMENT:
[Diagnosis with clinical reasoning and ICD codes]

PLAN:
[Specific, actionable treatment steps and follow-up]
"""

write_file(path="soap_note.txt", content=soap_note)

Read the full file on GitHub · 181 lines

Files

What ships with it

1 file beside SKILL.md in the same directory: the scripts, references and assets a skill reads on demand. Not counted in the per-session cost; read them before you install if any of them is executable.

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. 9d ago First seen · 181 lines · 22 tokens per session scan A fde1232abf33

Subscribe to this mod's changes

medical-soap-note-creation is a skill published in the GitHub repository HKUDS/OpenSpace (7,544 stars, last pushed 27d ago), licensed MIT. It adds 22 tokens to every session and 1,322 once invoked, about $0.0001 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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