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 procedure-notesgit 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/procedure-notes)<a href="https://agentmods.dev/skills/langcare/langcare-mcp-fhir/procedure-notes"><img src="https://agentmods.dev/badge/skills/langcare/langcare-mcp-fhir/procedure-notes/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/procedure-notes"><img src="https://agentmods.dev/badge/skills/langcare/langcare-mcp-fhir/procedure-notes.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 | $0.00061 | $0.00722 |
| Opus 5.5 | $0.00024 | $0.00289 |
| Sonnet 5.5 | $0.00012 | $0.00144 |
| Haiku 4.5 | $0.00006 | $0.00072 |
Grade A, and why
langcare-procedure-notes 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 — 60 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Procedure Note Template
When to Use This Skill
Use when a clinician needs a structured procedure note populated with patient context from FHIR resources.
Clinical Workflow
- Use
fhir_readto retrieve Patient demographics and allergies - Use
fhir_searchto pull the Procedure resource for the completed procedure (code, performedDateTime, outcome) - Use
fhir_searchto pull pre-procedure Observation resources (vitals, relevant labs, coagulation studies) - Use
fhir_searchto pull active Condition resources for relevant comorbidities and procedure indication - Use
fhir_searchto pull MedicationRequest for anesthesia/sedation medications administered - Assemble procedure note: patient identification, procedure name/CPT, indication, consent status, anesthesia type, pre-procedure assessment, procedure description (technique, findings), specimens collected, complications, estimated blood loss, post-procedure condition, and plan
- Optionally use
fhir_createto persist as DocumentReference (LOINC 28570-0 for procedure note)
FHIR Resources
- Patient -- Demographics, allergies
- Procedure -- Procedure details: code (CPT/SNOMED), status, performedDateTime, outcome, complication
- Observation -- Pre-procedure vitals and labs
- Condition -- Procedure indication and comorbidities
- MedicationRequest / MedicationAdministration -- Anesthesia, sedation, antibiotics
- DocumentReference -- Output: procedure note
FHIR Query Examples
Pull Procedure Details
fhir_read(resourceType="Procedure", id="[procedure-id]")
Pull Pre-Procedure Labs
fhir_search(resourceType="Observation", queryParams="patient=[patient-id]&category=laboratory&date=ge[procedure-date-minus-7d]&date=le[procedure-date]&_sort=-date")
Clinical Guidelines
- CMS operative report documentation requirements
- Joint Commission immediate post-procedure documentation standards
- Specialty-specific procedure note elements (ACS, ASGE, ACC)
Interpretation Guide
- Structure: Date/Time, Patient ID, Procedure (name + CPT code), Surgeon/Proceduralist, Assistant(s), Anesthesia (type + provider), Indication, Consent (confirmed), Pre-procedure assessment (vitals, relevant labs), Technique (step-by-step), Findings, Specimens (sent to pathology), Complications (none or describe), EBL, Post-procedure condition (stable/ICU/etc.), Post-procedure orders, Follow-up plan
- For endoscopic procedures: include scope type, insertion/withdrawal times, visualization quality, biopsy sites
- For surgical procedures: include incision type, exposure, key operative findings, closure method, drain placement
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 · 60 lines · 61 tokens per session scan A 00c835605220
langcare-procedure-notes is a skill published in the GitHub repository langcare/langcare-mcp-fhir (71 stars, last pushed 6mo ago), licensed MIT. It adds 61 tokens to every session and 722 once invoked, about $0.0002 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-procedure-notes compared with skills from other repositories
| Mod | Type | Stars | Last push | Licence | Scan | Tokens | Works with |
|---|---|---|---|---|---|---|---|
| langcare-procedure-noteslangcare/langcare-mcp-fhir | Skill | 71 | 6mo ago | MIT | A | 61 | Claude Code, Codex |
| orbit-notionnexu-io/open-design | Skill | 106k | yesterday | Apache-2.0 | A | 117 | Claude Code, Codex |
| instrument-data-to-allotropeanthropics/knowledge-work-plugins | Skill | 35k | 2d ago | Apache-2.0 | A | 123 | Claude Code |
| apify-youtube-transcript-scrapersickn33/agentic-awesome-skills | Skill | 49k | yesterday | MIT | A | 48 | Claude Code |
| legal-holdanthropics/claude-for-legal | Skill | 9.9k | 3d ago | Apache-2.0 | A | 68 | Claude Code |
| ppt-reviewOrkas-AI/Orkas | Skill | 9.0k | yesterday | MIT | A | 2 | Claude Code, Codex |
| feishuHmbown/CodeWhale | Skill | 41k | 5d ago | MIT | A | 33 | Claude Code, Codex |