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.
npx skills add langcare/langcare-mcp-fhir --skill pneumonia-curb65git clone --depth 1 https://github.com/langcare/langcare-mcp-fhirWrote 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.
[](https://agentmods.dev/skills/langcare/langcare-mcp-fhir/pneumonia-curb65)<a href="https://agentmods.dev/skills/langcare/langcare-mcp-fhir/pneumonia-curb65"><img src="https://agentmods.dev/badge/skills/langcare/langcare-mcp-fhir/pneumonia-curb65/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.
<a href="https://agentmods.dev/skills/langcare/langcare-mcp-fhir/pneumonia-curb65"><img src="https://agentmods.dev/badge/skills/langcare/langcare-mcp-fhir/pneumonia-curb65.svg" alt="Reviewed on agentmods" width="80" height="20"></a>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 | $0.00076 | $0.00793 |
| Opus 5 | $0.00038 | $0.00396 |
| Sonnet 5 | $0.00015 | $0.00159 |
| Haiku 4.5 | $0.00008 | $0.00079 |
Grade A, and why
langcare-pneumonia-curb65 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 12d 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.
How it starts
The opening of the file, as written. The whole thing — 60 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Pneumonia Severity Assessment (CURB-65)
When to Use This Skill
Use when a clinician needs to determine pneumonia severity and appropriate level of care using validated scoring tools.
Clinical Workflow
- Use
fhir_readto retrieve Patient demographics (age for scoring) - Use
fhir_searchto pull vital signs: BP (8480-6), respiratory rate (9279-1), temperature (8310-5), heart rate (8867-4), SpO2 (2708-6) - Use
fhir_searchto pull labs: BUN (3094-0), WBC (6690-2), creatinine (2160-0), glucose (2345-7), pH (2744-1), PaO2 (2703-7), albumin (1751-7), sodium (2951-2), hematocrit (4544-3) - Use
fhir_searchto pull active Condition resources for comorbidities and confirmed pneumonia diagnosis - Use
fhir_searchto pull DiagnosticReport for chest imaging results - Calculate CURB-65 score (see references/curb65-scoring.md)
- If data sufficient, also calculate PSI/PORT score for more granular risk stratification
- Present severity classification with disposition recommendation and antibiotic guidance
FHIR Resources
- Patient -- Age, gender
- Observation -- Vitals and labs for scoring
- Condition -- Pneumonia diagnosis, comorbidities (CHF, liver disease, renal disease, cerebrovascular disease, malignancy)
- DiagnosticReport -- Chest X-ray or CT findings (pleural effusion, multilobar involvement)
FHIR Query Examples
Pull Vitals
fhir_search(resourceType="Observation", queryParams="patient=[patient-id]&category=vital-signs&_sort=-date&_count=10")
Pull BUN
fhir_search(resourceType="Observation", queryParams="patient=[patient-id]&code=3094-0&_sort=-date&_count=1")
Clinical Guidelines
- ATS/IDSA 2019 Community-Acquired Pneumonia Guidelines
- BTS Guidelines for CAP (CURB-65 origin)
- IDSA/ATS criteria for severe CAP requiring ICU admission
Interpretation Guide
- CURB-65: 0-1 outpatient treatment, 2 consider short inpatient or supervised outpatient, 3-5 inpatient (4-5 consider ICU)
- PSI/PORT: Class I-III outpatient, Class IV inpatient, Class V ICU consideration
- ATS/IDSA major criteria for ICU: septic shock requiring vasopressors, mechanical ventilation
- ATS/IDSA minor criteria (>=3 = ICU): RR >=30, PaO2/FiO2 <=250, multilobar infiltrates, confusion, BUN >=20, WBC <4000, platelets <100K, temperature <36C, hypotension requiring aggressive fluids
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.
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.
- 12d ago First seen · 60 lines · 76 tokens per session scan A 1f37d03ce4de
langcare-pneumonia-curb65 is a skill published in the GitHub repository langcare/langcare-mcp-fhir (55 stars, last pushed 5mo ago), licensed MIT. It adds 76 tokens to every session and 793 once invoked, about $0.0004 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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