openehr-assistant

openehr-assistant is a skill for Claude Code from Cadasto/openehr-assistant-plugin. It costs 182 tokens per session (2,877 once invoked), scanned A, original, MIT.

An assistant for openEHR concepts and clinical information modeling. openEHR is a vendor-neutral standard for representing electronic health records; its archetypes define reusable clinical information, while templates adapt them for specific uses.

In plain words
What is it for?
Use it to understand archetypes, templates, compositions, and related openEHR structures, or to plan a clinical data model when no more specific modeling tool applies.
Why use it?
It provides specification-based guidance when designing or explaining openEHR data structures. It helps clarify unfamiliar concepts and choose an appropriate modeling path.

Skill for Claude Code

Written for Claude Code: allowed-tools in frontmatter.

Part of the openehr-assistant plugin — 8 skills, 3 commands, 3 agents, 2 hooks, 1 MCP server shipped together

Good fit Use it to understand archetypes, templates, compositions, and related openEHR structures, or to plan a clinical data model when no more specific modeling tool applies.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/cadasto/openehr-assistant-plugin/openehr-assistant
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 Cadasto/openehr-assistant-plugin --skill openehr-assistant
Clone the repo
git clone --depth 1 https://github.com/Cadasto/openehr-assistant-plugin

Made for: Claude Code.

Or install openehr-assistant, the plugin that ships this one along with the rest of its 8 skills, 3 commands, 3 agents, 2 hooks, 1 MCP server.

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.

agentmods badge for openehr-assistant

README.md
[![agentmods](https://agentmods.dev/badge/skills/cadasto/openehr-assistant-plugin/openehr-assistant/github.svg)](https://agentmods.dev/skills/cadasto/openehr-assistant-plugin/openehr-assistant)
Your own site
<a href="https://agentmods.dev/skills/cadasto/openehr-assistant-plugin/openehr-assistant"><img src="https://agentmods.dev/badge/skills/cadasto/openehr-assistant-plugin/openehr-assistant/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.

agentmods 80×15 button for openehr-assistant

Your own site · 80×15
<a href="https://agentmods.dev/skills/cadasto/openehr-assistant-plugin/openehr-assistant"><img src="https://agentmods.dev/badge/skills/cadasto/openehr-assistant-plugin/openehr-assistant.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 182 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 2,877 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.

ModelPer sessionOnce invoked
Fable 5.1 $0.00182 $0.02877
Opus 5 $0.00091 $0.01438
Sonnet 5 $0.00036 $0.00575
Haiku 4.5 $0.00018 $0.00288

Measured 10d ago against content hash be917f26edbf, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-10, from the pricing page.

Security

Grade A, and why

openehr-assistant 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 10d 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.

skills/openehr-assistant/SKILL.md · 155 lines

How it starts

The opening of the file, as written. The whole thing — 155 lines — stays where its author put it; the contents beside it link to each section on GitHub.

openEHR Assistant

An openEHR-aware assistant and clinical modeling specialist. When a conversation touches openEHR topics, proactively use MCP tools to provide accurate, specification-grounded answers. For clinical modeling tasks, guide the full workflow from archetype selection through template design and model review.

  • Prefer official openEHR specs/guides and MCP resources over assumptions.
  • Provide structured, scannable answers; separate facts from assumptions; call out uncertainty explicitly.

Domain Context

openEHR is a vendor-neutral open standard for electronic health records. Key concepts:

  • Archetypes: Reusable clinical content definitions in ADL format
  • Templates: Use-case-specific constraint sets combining archetypes, in four serialisations — source (.oet, Archetype Designer .t.json) → compiled OPT → derived vendor web template (the FLAT/STRUCTURED path schema); only OET is hand-authorable, and .t.json is a source template, not a web template
  • Compositions: Runtime clinical data instances conforming to templates
  • Reference Model (RM): Core data types and structures (COMPOSITION, OBSERVATION, EVALUATION, INSTRUCTION, ACTION, CLUSTER, ELEMENT, etc.)
  • AQL: Archetype Query Language for querying clinical data repositories
  • CKM: Clinical Knowledge Manager, the international archetype/template registry
  • EHR Structure: Composition categories (event/persistent/episodic), Entry types, ISM state machine, versioning (VERSIONED_OBJECT, CONTRIBUTION), time semantics
  • Demographic Model: PARTY hierarchy (PERSON, ORGANISATION, GROUP, AGENT, ROLE), identities, relationships, EHR/demographic separation
  • Platform Services: Abstract service interfaces (Definitions, EHR, Demographic, Query, Admin), version update semantics, deployment architecture

Quick Reference

For a compact offline summary of core principles, design rules, anti-patterns, RM entry types, CGEM framework, and the full canonical guide URI index, see reference/openehr-quick-reference.md. The full offline corpus (ADL/AQL/OET syntax cheatsheets, RM type reference, complete lint rules) is indexed in reference/README.md — these files serve the offline clinical-modeler agent; in the main session the loaded MCP guides are authoritative.

Read the full file on GitHub · 155 lines

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.

  1. 10d ago First seen · 155 lines · 182 tokens per session scan A be917f26edbf

Subscribe to this mod's changes

openehr-assistant is a skill published in the GitHub repository Cadasto/openehr-assistant-plugin (4 stars, last pushed 16d ago), licensed MIT. It adds 182 tokens to every session and 2,877 once invoked, about $0.0009 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 2026-08-31.