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 sepsis-screeninggit 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/sepsis-screening)<a href="https://agentmods.dev/skills/langcare/langcare-mcp-fhir/sepsis-screening"><img src="https://agentmods.dev/badge/skills/langcare/langcare-mcp-fhir/sepsis-screening/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/sepsis-screening"><img src="https://agentmods.dev/badge/skills/langcare/langcare-mcp-fhir/sepsis-screening.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 | $0.00105 | $0.03776 |
| Opus 5.5 | $0.00042 | $0.01510 |
| Sonnet 5.5 | $0.00021 | $0.00755 |
| Haiku 4.5 | $0.00011 | $0.00378 |
Grade A, and why
sepsis-screening 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.
How it starts
The opening of the file, as written. The whole thing — 374 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Sepsis Screening
Overview
Calculate qSOFA, SOFA, and SIRS scores from FHIR Observation and Condition resources. Pull vitals (temperature, heart rate, respiratory rate, blood pressure, SpO2) and labs (WBC, lactate, creatinine, bilirubin, platelets, PaO2/FiO2) to generate a comprehensive sepsis risk assessment. Create a ClinicalImpression resource documenting the findings. Evaluate compliance with Surviving Sepsis Campaign hour-1 bundle elements.
FHIR Resources Used
| Resource | Purpose | Key Fields |
|---|---|---|
| Observation | Vitals and lab values | code, valueQuantity, effectiveDateTime, status |
| Condition | Active infections, comorbidities | code, clinicalStatus, onsetDateTime |
| Patient | Age, demographics | birthDate, gender |
| MedicationRequest | Vasopressor use, current antibiotics | medicationCodeableConcept, status, authoredOn |
| Procedure | Mechanical ventilation status | code, status, performedPeriod |
| ClinicalImpression | Output: sepsis risk assessment | status, description, finding, summary |
Instructions
Step 1: Retrieve Patient Demographics
Tool: fhir_read
resourceType: "Patient"
id: "[patient-id]"
Extract birthDate (calculate age) and gender. Age modifies baseline risk interpretation.
Step 2: Pull Vital Signs (Last 24 Hours)
Retrieve each vital sign category using LOINC codes. Use _sort=-date&_count=5 to get recent trends.
Temperature:
Tool: fhir_search
resourceType: "Observation"
queryParams: "patient=[patient-id]&code=8310-5&_sort=-date&_count=5"
LOINC 8310-5 = Body temperature. Flag if >38.3C (100.9F) or <36.0C (96.8F).
Heart Rate:
Tool: fhir_search
resourceType: "Observation"
queryParams: "patient=[patient-id]&code=8867-4&_sort=-date&_count=5"
LOINC 8867-4 = Heart rate. Flag if >90 bpm (SIRS) or >100 bpm.
Respiratory Rate:
Tool: fhir_search
resourceType: "Observation"
queryParams: "patient=[patient-id]&code=9279-1&_sort=-date&_count=5"
LOINC 9279-1 = Respiratory rate. Flag if >=22 (qSOFA) or >20 (SIRS).
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.
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 · 374 lines · 105 tokens per session scan A 9c70775decef
sepsis-screening is a skill published in the GitHub repository langcare/langcare-mcp-fhir (71 stars, last pushed 6mo ago), licensed MIT. It adds 105 tokens to every session and 3,776 once invoked, about $0.0004 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.
sepsis-screening compared with skills from other repositories
| Mod | Type | Stars | Last push | Licence | Scan | Tokens | Works with |
|---|---|---|---|---|---|---|---|
| sepsis-screeninglangcare/langcare-mcp-fhir | Skill | 71 | 6mo ago | MIT | A | 105 | 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 |