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 discharge-planninggit 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/discharge-planning)<a href="https://agentmods.dev/skills/langcare/langcare-mcp-fhir/discharge-planning"><img src="https://agentmods.dev/badge/skills/langcare/langcare-mcp-fhir/discharge-planning/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/discharge-planning"><img src="https://agentmods.dev/badge/skills/langcare/langcare-mcp-fhir/discharge-planning.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 | $0.00069 | $0.00856 |
| Opus 5.5 | $0.00028 | $0.00342 |
| Sonnet 5.5 | $0.00014 | $0.00171 |
| Haiku 4.5 | $0.00007 | $0.00086 |
Grade A, and why
langcare-discharge-planning 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 — 70 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Discharge Planning Checklist
When to Use This Skill
Use when a clinician needs to verify discharge readiness by checking all CMS Condition of Participation requirements and calculating readmission risk.
Clinical Workflow
- Use
fhir_searchto retrieve the current inpatient Encounter (status=in-progress, class=IMP) - Use
fhir_searchto check for pending ServiceRequest resources (active/draft labs, imaging, consults) - Use
fhir_searchto check for pending Observation results (status=preliminary/registered) - Use
fhir_searchto verify medication reconciliation: compare active MedicationRequest against MedicationStatement for discrepancies - Use
fhir_searchto check for scheduled follow-up Appointments (status=booked, date >= today) - Use
fhir_searchto check for patient education DocumentReference resources (LOINC 69981-9) - Use
fhir_searchto check for DME orders (DeviceRequest) and home health referrals (ServiceRequest) - Calculate LACE readmission risk index: L=length of stay, A=acuity of admission, C=comorbidities (Charlson), E=ED visits in 6 months (see references/lace-index.md)
- Generate or update discharge CarePlan with pass/fail status for each requirement
FHIR Resources
- Encounter -- Current admission: period, class, reasonCode, admitSource
- ServiceRequest -- Pending orders: status, intent, code, category
- Observation -- Pending lab results: status
- MedicationRequest / MedicationStatement -- Medication reconciliation
- Appointment -- Follow-up scheduling: status, start, serviceType
- DocumentReference -- Patient education: type (LOINC 69981-9)
- DeviceRequest -- DME orders: status, code
- CarePlan -- Discharge plan with activities
FHIR Query Examples
Check Pending Orders
fhir_search(resourceType="ServiceRequest", queryParams="patient=[patient-id]&status=active,draft&encounter=[encounter-id]")
Check Follow-up Appointments
fhir_search(resourceType="Appointment", queryParams="patient=[patient-id]&status=booked,proposed&date=ge[today]")
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.
- 2mo ago First seen · 70 lines · 69 tokens per session scan A 54631f1c8e1b
langcare-discharge-planning is a skill published in the GitHub repository langcare/langcare-mcp-fhir (71 stars, last pushed 6mo ago), licensed MIT. It adds 69 tokens to every session and 856 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.
langcare-discharge-planning compared with skills from other repositories
| Mod | Type | Stars | Last push | Licence | Scan | Tokens | Works with |
|---|---|---|---|---|---|---|---|
| langcare-discharge-planninglangcare/langcare-mcp-fhir | Skill | 71 | 6mo ago | MIT | A | 69 | 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 |