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 lab-interpretationgit 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/lab-interpretation)<a href="https://agentmods.dev/skills/langcare/langcare-mcp-fhir/lab-interpretation"><img src="https://agentmods.dev/badge/skills/langcare/langcare-mcp-fhir/lab-interpretation/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/lab-interpretation"><img src="https://agentmods.dev/badge/skills/langcare/langcare-mcp-fhir/lab-interpretation.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 | $0.00067 | $0.00832 |
| Opus 5 | $0.00034 | $0.00416 |
| Sonnet 5 | $0.00013 | $0.00166 |
| Haiku 4.5 | $0.00007 | $0.00083 |
Grade A, and why
langcare-lab-interpretation 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 — 66 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Lab Result Interpreter
When to Use This Skill
Use when a clinician needs laboratory results organized by panel, interpreted with clinical context, flagged for abnormals and critical values, and correlated with active medications and conditions.
Clinical Workflow
- Use
fhir_readto retrieve Patient demographics (age, gender for reference range selection) - Use
fhir_searchto pull recent Observation resources (category=laboratory) sorted by date - Organize results by panel: CBC, BMP/CMP, liver, lipids, thyroid, coagulation, urinalysis
- Flag abnormal values using interpretation field and referenceRange; classify as normal, abnormal, or critical
- Calculate delta checks: pull prior values for each abnormal result, compute absolute and percent change
- Identify abnormal patterns (e.g., microcytic anemia, hepatocellular injury, cholestatic pattern, anion gap)
- Use
fhir_searchto pull active Conditions and MedicationStatements for clinical correlation (drug-lab interactions) - Present structured report with trending, pattern analysis, and recommended actions
FHIR Resources
- Observation -- Lab results: code (LOINC), valueQuantity, interpretation, referenceRange, effectiveDateTime, status, component
- Patient -- Age/sex for reference range selection
- Condition -- Clinical correlation with active diagnoses
- MedicationStatement -- Drug-lab interaction correlation
FHIR Query Examples
Pull Recent Labs (30 days)
fhir_search(resourceType="Observation", queryParams="patient=[patient-id]&category=laboratory&date=ge[30-days-ago]&_sort=-date&_count=200")
Pull Specific Panel (CBC)
fhir_search(resourceType="Observation", queryParams="patient=[patient-id]&code=58410-2&_sort=-date&_count=5")
Pull Prior Values for Delta Check
fhir_search(resourceType="Observation", queryParams="patient=[patient-id]&code=[loinc-code]&_sort=-date&_count=5")
Clinical Guidelines
- CAP/CLIA critical value reporting requirements
- KDIGO guidelines for renal function interpretation
- ADA standards for diabetes lab monitoring
- ACC/AHA guidelines for lipid interpretation
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 · 66 lines · 67 tokens per session scan A 6f665d8380fd
langcare-lab-interpretation is a skill published in the GitHub repository langcare/langcare-mcp-fhir (55 stars, last pushed 5mo ago), licensed MIT. It adds 67 tokens to every session and 832 once invoked, about $0.0003 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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