What is langcare-lab-interpretation?

A clinical tool that organizes laboratory results and explains abnormal patterns in context. It compares current and past results and considers active conditions and medicines.

Use it to review bloodwork and other laboratory panels, track trends, relate findings to medications or conditions, and produce a structured report with suggested actions.

It helps clinicians spot important changes, recognize patterns across different tests, and identify results that may need immediate attention.

langcare-lab-interpretation — 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 lab-interpretation

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/lab-interpretation/github.svg)](https://agentmods.dev/skills/langcare/langcare-mcp-fhir/lab-interpretation)

Your own site

<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.

Your own site · 80×15

<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>

Per session 67 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.

When invoked 832 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	$0.00067	$0.00832
Opus 5.5	$0.00027	$0.00333
Sonnet 5.5	$0.00013	$0.00166
Haiku 4.5	$0.00007	$0.00083

Measured 2mo ago against content hash 6f665d8380fd, method: parsed. Prices are Anthropic first-party input rates as of 2026-10-07, from the pricing page.

Security

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 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.

cma/skills/lab-diagnostics/lab-interpretation/SKILL.md · 66 lines

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_read to retrieve Patient demographics (age, gender for reference range selection)
Use fhir_search to 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_search to 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

Read the full file on GitHub · 66 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.

references/common-lab-ranges.md 4.6 KB

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 · 66 lines · 67 tokens per session scan A 6f665d8380fd

Subscribe to this mod's changes

langcare-lab-interpretation is a skill published in the GitHub repository langcare/langcare-mcp-fhir (71 stars, last pushed 6mo ago), licensed MIT. It adds 67 tokens to every session and 832 once invoked, about $0.0003 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

langcare-lab-interpretation next to 6 skills from other repositories
Mod	Type	Stars	Last push	Licence	Scan	Tokens	Works with
langcare-lab-interpretationlangcare/langcare-mcp-fhir	Skill	71	6mo ago	MIT	A	67	Claude Code, Codex
instrument-data-to-allotropeanthropics/knowledge-work-plugins	Skill	35k	2d ago	Apache-2.0	A	123	Claude Code
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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