demographic-modeling SKILL.md skillA
demographic-modeling from cadasto/openehr-assistant-plugin is an agent skill: a SKILL.md folder an AI agent loads when a task calls for it.
mdr add cadasto/openehr-assistant-plugin/demographic-modeling@git:20260730.305cd87Pins git:20260730.305cd87 in mdr.lock. Pin the fingerprint instead.
- Audit grade
- A, 17 of 17 checks passed
- Kind
- SKILL.md skill
- Repository
- cadasto/openehr-assistant-plugin
- Path
skills/demographic-modeling/SKILL.md- Versions recorded
- 5
- Latest version
- git:20260730.305cd87, committed Jul 30, 2026
- First version recorded
- Apr 21, 2026
- Size
- 8,328 bytes
- Repository stars
- 5
- License
- MIT
This skill should be used when the user asks to "design a demographic model", "model a person/organisation/role", "design party relationships", "plan identity structures", or "work with demographic archetypes". Covers designing openEHR demographic models using the PARTY hierarchy, roles, capabilities, relationships, and identity patterns. For clinical EHR archetypes (OBSERVATION/EVALUATION/etc.) use `archetype-authoring`; for a one-off lookup of a demographic RM type with no design work…
Collected from public GitHub. Every version is saved exactly as it was and never changes. Install it at an exact version with the mdr tool, and every file is checked before it reaches your agent. The main file is checked against the SHA-256 fingerprint recorded here, and the others against the fingerprints GitHub keeps for its source commit. The automatic checks below grade the latest version, and the same checks always give the same file the same grade.
What the file says
# Demographic Modeling
> The RM detail in the steps below is a working summary. The `specs/rm-demographic` guide loaded in Step 1 is authoritative — if they disagree, follow the guide (or confirm against `type_specification_get`).
## Conflict Resolution
When guides conflict, apply this priority (highest first):
1. Rules and structural constraints
2. Privacy and separation principles
3. Anti-patterns
4. Principles and examples
5. Convenience
## Step 1: Load Guides (MANDATORY)
Before any demographic modeling work, load the authoritative guides:
```
guide_get("openehr://guides/specs/rm-demographic")
guide_get("openehr://guides/archetypes/principles")
```
Load additional guides as needed:
- `guide_get("openehr://guides/specs/rm-ehr")` — for EHR/demographic separation context and cross-referencing patterns
## Step 2: Clarify Use Case
Before designing, gather requirements:
- **Entity types**: Which PARTY subtypes are needed — PERSON, ORGANISATION, GROUP, AGENT?
- **Roles**: What roles do parties play? What capabilities and time validity apply?
- **Relationships**: What relationships exist between parties? What is the directionality?
…Read the whole file at its exact version.
How to install
mdr add cadasto/openehr-assistant-plugin/demographic-modeling@sha256:06c65eaee286f6c0The line at the top of this page pins the label git:20260730.305cd87, which is what most people want. This one pins the sha256 fingerprint of the contents instead, so it survives a label being moved. Either way the exact version is written to mdr.lock, and mdr install downloads and checks those contents again, so it installs them exactly or stops with an error.
[](https://markdownregistry.com/a/art_wcnuqm4ux66fyky7)
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Versions
The registry has recorded 5 versions of this file, between Apr 21, 2026 and Jul 30, 2026, about one every 25 days.
| version | committed | commit | size | audit | |
|---|---|---|---|---|---|
| git:20260730.305cd87 latest | 2026-07-30 | 305cd87 | 8,328 B | A | view · diff |
| git:20260728.8c1e7d7 | 2026-07-28 | 8c1e7d7 | 8,230 B | A | view · diff |
| git:20260609.ecfc6eb | 2026-06-09 | ecfc6eb | 8,179 B | A | view · diff |
| git:20260607.e161aed | 2026-06-07 | e161aed | 8,045 B | A | view · diff |
| git:20260421.57ad0ad | 2026-04-21 | 57ad0ad | 7,562 B | A | view |
Audit of the latest version
- pass: Frontmatter block present
- pass: Frontmatter declares a name
- pass: Frontmatter declares a description
- pass: Size between 200 bytes and 200 KB (8328 bytes)
- pass: No zero-width or bidi control characters
- pass: No instruction hidden inside an HTML comment
- pass: No link to an exfiltration or paste host
- pass: No credential-shaped string
- pass: No instruction to send local credentials anywhere
- pass: No text hidden with inline styles
- pass: No prompt-injection phrasing
- pass: No curl or wget piped into a shell
- pass: No recursive delete of root, home or parent
- pass: No instruction to read or print local credentials
- pass: No base64 blob over 200 characters
- pass: No link to a raw IP address
- pass: No script tag
Source
cadasto/openehr-assistant-plugin · 5 stars · license MIT · pushed 2026-09-24 · branch main
API
GET https://markdownregistry.com/api/v1/artifacts/art_wcnuqm4ux66fyky7 GET https://markdownregistry.com/api/v1/resolve?ref=cadasto/openehr-assistant-plugin/demographic-modeling GET https://markdownregistry.com/api/v1/blob/06c65eaee286f6c0f191576ca0626bce9258ea51deade34c89db1ad76d21df3f
Your AI assistant does the legwork. You hear about the deals worth your word. Hand yours the standing instructions at modelranch.com and it joins the network that reads files like this one.
Guides: the SKILL.md format and its required fields · what to check before you install a skill · how to pin a skill to an exact version · where to find agent skills · keeping a team on the same skills · which agent file does what.