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 Cadasto/openehr-assistant-plugin --skill openehr-assistantgit clone --depth 1 https://github.com/Cadasto/openehr-assistant-pluginWrote 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/cadasto/openehr-assistant-plugin/openehr-assistant)<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.
<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>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 | $0.00182 | $0.02877 |
| Opus 5 | $0.00091 | $0.01438 |
| Sonnet 5 | $0.00036 | $0.00575 |
| Haiku 4.5 | $0.00018 | $0.00288 |
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.
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.jsonis 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.
What ships with it
17 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.
- examples/openEHR-EHR-ACTION.procedure.v1.adl 116 KB
- examples/openEHR-EHR-ADMIN_ENTRY.translation_requirements.v1.adl 7.4 KB
- examples/openEHR-EHR-CLUSTER.anatomical_location.v1.adl 69 KB
- examples/openEHR-EHR-COMPOSITION.encounter.v1.adl 34 KB
- examples/openEHR-EHR-EVALUATION.problem_diagnosis.v1.adl 140 KB
- examples/openEHR-EHR-INSTRUCTION.medication_order.v3.adl 111 KB
- examples/openEHR-EHR-OBSERVATION.blood_pressure.v2.adl 95 KB
- examples/README.md 5.9 KB
- reference/adl-idioms-reference.md 7.9 KB
- reference/adl-syntax-cheatsheet.md 2.3 KB
- reference/adl-syntax-reference.md 9.0 KB
- reference/aql-syntax-cheatsheet.md 1.6 KB
- reference/lint-rules-complete.md 9.9 KB
- reference/oet-syntax-reference.md 9.5 KB
- reference/openehr-quick-reference.md 15 KB
- reference/README.md 2.0 KB
- reference/rm-type-reference.md 21 KB
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.
- 10d ago First seen · 155 lines · 182 tokens per session scan A be917f26edbf
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.
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random-word-post-batch
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