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 archetype-authoringgit 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/archetype-authoring)<a href="https://agentmods.dev/skills/cadasto/openehr-assistant-plugin/archetype-authoring"><img src="https://agentmods.dev/badge/skills/cadasto/openehr-assistant-plugin/archetype-authoring/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/archetype-authoring"><img src="https://agentmods.dev/badge/skills/cadasto/openehr-assistant-plugin/archetype-authoring.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 | $0.00128 | $0.02513 |
| Opus 5.5 | $0.00051 | $0.01005 |
| Sonnet 5.5 | $0.00026 | $0.00503 |
| Haiku 4.5 | $0.00013 | $0.00251 |
Grade A, and why
archetype-authoring 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 1mo 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 — 171 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Archetype Authoring
Conflict Resolution
When guides conflict, apply this priority (highest first):
- Rules and structural constraints
- Syntax specifications
- Anti-patterns
- Principles and examples
- Convenience
Step 1: Load Guides (MANDATORY)
Before any archetype work, load the authoritative guides:
guide_get("openehr://guides/archetypes/principles")
guide_get("openehr://guides/archetypes/rules")
guide_get("openehr://guides/archetypes/adl-syntax")
Load additional guides as needed:
guide_get("openehr://guides/archetypes/structural-constraints")— for cardinality, occurrences, existence rulesguide_get("openehr://guides/archetypes/terminology")— for terminology binding patternsguide_get("openehr://guides/archetypes/anti-patterns")— to avoid common mistakesguide_get("openehr://guides/archetypes/reference-formatting")— for ADL formatting conventions
Step 2: Research Before Creating
Before creating a new archetype, ALWAYS search CKM first:
ckm_archetype_search("<concept>")
Reuse-first principle: If a suitable archetype exists, use it. Only create new archetypes when no existing archetype covers the concept. If a close match exists, consider specialization instead.
If CKM has nothing, check the secondary channel before concluding "new": GitHub repositories tagged with the openehr-content topic (topic:openehr-content) publish project-level archetypes and templates outside CKM. These are un-governed leads — no editorial review, no dependable lifecycle_state — so use them as prior art and style reference, cite the repo and commit, and never call such a find "published". Requires web access, so run it in the main session (WebSearch, or gh where a shell is available — this skill holds no Bash), not in ckm-scout.
For deep reuse surveys (unfamiliar domain, or the first few hits look marginal), dispatch the ckm-scout agent instead of running searches inline. It runs 3 parallel phrasings, ranks candidates, and returns a reuse/specialize/new recommendation — keeping CKM search noise out of this skill's context.
What ships with it
4 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.
- 1mo ago First seen · 171 lines · 128 tokens per session scan A d22f2846ba4e
archetype-authoring is a skill published in the GitHub repository Cadasto/openehr-assistant-plugin (6 stars, last pushed 1mo ago), licensed MIT. It adds 128 tokens to every session and 2,513 once invoked, about $0.0005 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 2026-08-31.
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