What is pneumonia-severity-assessment?

A clinical assessment tool that uses patient records to rate how serious pneumonia is with established scoring systems such as CURB-65 and the Pneumonia Severity Index. It covers community-, hospital-, and ventilator-associated pneumonia.

Use it to assess pneumonia risk, decide between home care, observation, hospital admission, or intensive care, and document the assessment in a standard patient record.

It brings vital signs, test results, existing conditions, and current medicines together so severity is assessed consistently. It also helps distinguish possible care settings and treatment needs.

pneumonia-severity-assessment — Skill by langcare/langcare-mcp-fhir

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 langcare/langcare-mcp-fhir --skill pneumonia-severity-assessment

Clone the repo

git clone --depth 1 https://github.com/langcare/langcare-mcp-fhir

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.

README.md

[![agentmods](https://agentmods.dev/badge/skills/langcare/langcare-mcp-fhir/pneumonia-severity-assessment/github.svg)](https://agentmods.dev/skills/langcare/langcare-mcp-fhir/pneumonia-severity-assessment)

Your own site

<a href="https://agentmods.dev/skills/langcare/langcare-mcp-fhir/pneumonia-severity-assessment"><img src="https://agentmods.dev/badge/skills/langcare/langcare-mcp-fhir/pneumonia-severity-assessment/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.

Your own site · 80×15

<a href="https://agentmods.dev/skills/langcare/langcare-mcp-fhir/pneumonia-severity-assessment"><img src="https://agentmods.dev/badge/skills/langcare/langcare-mcp-fhir/pneumonia-severity-assessment.svg" alt="Reviewed on agentmods" width="80" height="20"></a>

Per session 113 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.

When invoked 4,384 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 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.

Model	Per session	Once invoked
Fable 5.1	$0.00113	$0.04384
Opus 5.5	$0.00045	$0.01754
Sonnet 5.5	$0.00023	$0.00877
Haiku 4.5	$0.00011	$0.00438

Measured 2mo ago against content hash abf24df957d7, method: parsed. Prices are Anthropic first-party input rates as of 2026-10-07, from the pricing page.

Security

Grade A, and why

pneumonia-severity-assessment 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 2mo 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.

skills/core/clinical-decision-support/pneumonia-severity-assessment/SKILL.md · 405 lines

How it starts

The opening of the file, as written. The whole thing — 405 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Pneumonia Severity Assessment

Overview

Calculate pneumonia severity scores from FHIR Patient, Observation, and Condition resources using CURB-65, PSI/PORT Score (Pneumonia Severity Index), and A-DROP criteria. Differentiate community-acquired pneumonia (CAP) from hospital-acquired pneumonia (HAP) and ventilator-associated pneumonia (VAP). Generate disposition recommendations (outpatient, observation, inpatient, ICU) and empiric antibiotic guidance based on severity level and guidelines. Create a ClinicalImpression resource documenting findings.

FHIR Resources Used

Resource	Purpose	Key Fields
Patient	Age, gender, nursing home residence	birthDate, gender, address
Condition	Comorbidities, pneumonia type, pleural effusion	code, clinicalStatus, onsetDateTime
Observation	Vitals (BP, HR, RR, temp, SpO2), labs (BUN, glucose, Na, Hct, PaO2, pH)	code, valueQuantity, effectiveDateTime
Encounter	Admission source, current encounter type	class, period, hospitalization
MedicationRequest	Current antibiotics, immunosuppressants	medicationCodeableConcept, status
ClinicalImpression	Output: severity assessment	status, description, finding

Instructions

Step 1: Retrieve Patient Demographics

Tool: fhir_read
resourceType: "Patient"
id: "[patient-id]"

Extract age (exact years), gender (male = additional PSI points). Check address for nursing home/long-term care facility (affects CAP vs HCAP classification).

Step 2: Determine CAP vs HAP/VAP

Tool: fhir_search
resourceType: "Encounter"
queryParams: "patient=[patient-id]&status=in-progress"

Classification logic:

CAP: Pneumonia onset before or within 48 hours of hospital admission. Includes nursing home patients (previously "HCAP" -- per 2019 ATS/IDSA guidelines, HCAP category eliminated; treat as CAP unless HAP/VAP risk factors present).
HAP: Pneumonia onset >=48 hours after hospital admission, not intubated at time of onset.
VAP: Pneumonia onset >=48 hours after endotracheal intubation.

Read the full file on GitHub · 405 lines

Files

What ships with it

2 files 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.

2mo ago First seen · 405 lines · 113 tokens per session scan A abf24df957d7

Subscribe to this mod's changes

pneumonia-severity-assessment is a skill published in the GitHub repository langcare/langcare-mcp-fhir (71 stars, last pushed 6mo ago), licensed MIT. It adds 113 tokens to every session and 4,384 once invoked, about $0.0005 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.

Scientific

pneumonia-severity-assessment next to 6 skills from other repositories
Mod	Type	Stars	Last push	Licence	Scan	Tokens	Works with
pneumonia-severity-assessmentlangcare/langcare-mcp-fhir	Skill	71	6mo ago	MIT	A	113	Claude Code, Codex
instrument-data-to-allotropeanthropics/knowledge-work-plugins	Skill	35k	2d ago	Apache-2.0	A	123	Claude Code
exploratory-data-analysisK-Dense-AI/scientific-agent-skills	Skill	56k	4d ago	MIT	A	83	Claude Code
matlabK-Dense-AI/scientific-agent-skills	Skill	56k	4d ago	MIT	A	44	Claude Code
phylogeneticsK-Dense-AI/scientific-agent-skills	Skill	56k	4d ago	MIT	A	71	Claude Code, Codex
research-engineerdavila7/claude-code-templates	Skill	33k	yesterday	MIT	A	43	Claude Code, Codex
mapping-to-snomedmaziyarpanahi/openmed	Skill	5.8k	yesterday	Apache-2.0	A	205	Claude Code