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 prenatal-visit-workflowgit 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/prenatal-visit-workflow)<a href="https://agentmods.dev/skills/langcare/langcare-mcp-fhir/prenatal-visit-workflow"><img src="https://agentmods.dev/badge/skills/langcare/langcare-mcp-fhir/prenatal-visit-workflow/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/prenatal-visit-workflow"><img src="https://agentmods.dev/badge/skills/langcare/langcare-mcp-fhir/prenatal-visit-workflow.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 | $0.00110 | $0.03958 |
| Opus 5.5 | $0.00044 | $0.01583 |
| Sonnet 5.5 | $0.00022 | $0.00792 |
| Haiku 4.5 | $0.00011 | $0.00396 |
Grade A, and why
prenatal-visit-workflow 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 — 345 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Prenatal Visit Workflow
Overview
Pull and organize prenatal clinical data by trimester and gestational age following ACOG prenatal visit schedule. Retrieve pregnancy-related Conditions, maternal vital signs, fetal Observations, laboratory results, and screening outcomes. Track weight gain trajectory, blood pressure trends, and glucose screening results. Flag preeclampsia risk factors, gestational diabetes indicators, preterm labor risk, and deviations from expected visit schedule. Present a structured visit summary with outstanding orders and upcoming milestones.
FHIR Resources Used
| Resource | Purpose | Key Fields |
|---|---|---|
| Patient | Maternal demographics, age, gravidity | birthDate, gender, identifier |
| Condition | Pregnancy diagnosis, complications | code, clinicalStatus, onsetDateTime, category |
| Observation | Vitals, fundal height, FHR, weight, urine, labs | code, valueQuantity, effectiveDateTime, component, interpretation |
| MedicationRequest | Prenatal vitamins, aspirin, Rhogam, GBS prophylaxis | medicationCodeableConcept, status, dosageInstruction |
| Procedure | Ultrasounds, amniocentesis, cervical cerclage | code, performedDateTime, status |
| DiagnosticReport | Ultrasound reports, lab panels | code, result, effectiveDateTime |
Instructions
Step 1: Retrieve Patient Demographics
Tool: fhir_read
resourceType: "Patient"
id: "[patient-id]"
Extract birthDate (calculate maternal age -- flag if >=35 for advanced maternal age), gender (confirm female).
Step 2: Pull Pregnancy Condition
Tool: fhir_search
resourceType: "Condition"
queryParams: "patient=[patient-id]&code=77386006&clinical-status=active"
SNOMED 77386006 = Pregnancy (finding). If not found, try:
- SNOMED 72892002 = Normal pregnancy
- ICD-10 Z34 (Encounter for supervision of normal pregnancy)
- ICD-10 O09 (Supervision of high-risk pregnancy)
Extract onsetDateTime to determine estimated gestational age (EGA). If EGA is not derivable from onset, search for EDD Observation (LOINC 11778-8 = Delivery date estimated).
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 · 345 lines · 110 tokens per session scan A 7be5fbf17bc3
prenatal-visit-workflow is a skill published in the GitHub repository langcare/langcare-mcp-fhir (71 stars, last pushed 6mo ago), licensed MIT. It adds 110 tokens to every session and 3,958 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 2026-09-03.
prenatal-visit-workflow compared with skills from other repositories
| Mod | Type | Stars | Last push | Licence | Scan | Tokens | Works with |
|---|---|---|---|---|---|---|---|
| prenatal-visit-workflowlangcare/langcare-mcp-fhir | Skill | 71 | 6mo ago | MIT | A | 110 | Claude Code, Codex |
| imagegenopenai/codex | Skill | 133k | yesterday | Apache-2.0 | A | 113 | Codex |
| playwright-climicrosoft/playwright | Skill | 99k | yesterday | Apache-2.0 | A | 19 | Claude Code |
| local-ai-agentsmicrosoft/ai-agents-for-beginners | Skill | 79k | 4d ago | MIT | A | 200 | Claude Code, Codex |
| systematic-debuggingobra/superpowers | Skill | 313k | 3d ago | MIT | A | 21 | Claude Code |
| next-cache-components-adoptionvercel/next.js | Skill | 143k | yesterday | MIT | A | 95 | Claude Code |
| next-partial-prefetching-adoptionvercel/next.js | Skill | 143k | yesterday | MIT | A | 103 | Claude Code |