defining-cohort-phenotypes SKILL.md skillA

defining-cohort-phenotypes from maziyarpanahi/openmed is an agent skill: a SKILL.md folder an AI agent loads when a task calls for it.

Install it, pinned
mdr add maziyarpanahi/openmed/defining-cohort-phenotypes@v1.0

Pins v1.0 in mdr.lock. Pin the fingerprint instead.

Audit grade
A, 17 of 17 checks passed
Kind
SKILL.md skill
Repository
maziyarpanahi/openmed
Path
skills/defining-cohort-phenotypes/SKILL.md
Versions recorded
1
Latest version
v1.0, committed Jul 20, 2026
Size
7,743 bytes
Repository stars
5,784
License
Apache-2.0

Authors computable phenotype and cohort definitions in the OHDSI ATLAS / CIRCE style over the OMOP CDM, combining standard concept sets with NLP-derived features that OpenMed extracts. Use when the user wants to define a patient cohort, write a computable phenotype, reuse PheKB or OHDSI Phenotype Library logic, build concept sets, or augment code-based criteria with text features. Trigger keywords: phenotype, cohort definition, OHDSI, ATLAS, CIRCE, OMOP CDM, concept set, PheKB, Phenotype…

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

# Defining cohort phenotypes (OHDSI / OMOP CDM)

A **computable phenotype** is a portable, executable definition of "which patients
have condition X" — concept sets plus inclusion logic that runs against any
**OMOP CDM**-compliant database. In the OHDSI stack, ATLAS authors these visually,
**CIRCE** serializes them to a standardized **JSON** representation, and that JSON
compiles to database-specific SQL. This skill helps you author such definitions
and **augment them with NLP features** that OpenMed extracts from clinical text —
exactly the signals that structured codes miss.

OMOP CDM, ATLAS, CIRCE, and the OHDSI Phenotype Library are open source. The
*vocabulary content* you reference (SNOMED CT, CPT4, ICD) is **user-supplied** —
do not bundle restricted terminologies; load them into your own OMOP vocabulary
tables with your own licenses.

## When to use

- You need a reproducible cohort definition for analytics or research.
- You want to reuse an existing **PheKB** or **OHDSI Phenotype Library** definition
  and adapt it.
- A phenotype depends on facts that live only in **free text** (e.g. smoking
  status, symptom severity, social context) and code-based logic alone is weak.
…

Read the whole file at its exact version.

How to install

The exact contents, by fingerprint
mdr add maziyarpanahi/openmed/defining-cohort-phenotypes@sha256:b989d987706532d8

The line at the top of this page pins the label v1.0, 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.

Badge

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Versions

The registry has recorded 1 version of this file, committed on Jul 20, 2026.

versioncommittedcommitsizeaudit
v1.0 latest2026-07-20 74f7d6b 7,743 BA view

Audit of the latest version

A  17 of 17 checks passed. Fixed automatic checks with no AI involved, so the same checks give the same answer every run.
  • pass: Frontmatter block present
  • pass: Frontmatter declares a name
  • pass: Frontmatter declares a description
  • pass: Size between 200 bytes and 200 KB (7743 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

GitHub

maziyarpanahi/openmed · 5,784 stars · license Apache-2.0 · pushed 2026-11-07 · branch master

API

GET https://markdownregistry.com/api/v1/artifacts/art_6zyqxfobtwx2usof
GET https://markdownregistry.com/api/v1/resolve?ref=maziyarpanahi/openmed/defining-cohort-phenotypes
GET https://markdownregistry.com/api/v1/blob/b989d987706532d83f708ecba9d8791a257d69992504a2e4a03bdb84bf0bfbce

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.

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