parsing-hl7v2-messages SKILL.md skillA

parsing-hl7v2-messages 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/parsing-hl7v2-messages@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/parsing-hl7v2-messages/SKILL.md
Versions recorded
1
Latest version
v1.0, committed Jul 20, 2026
Size
7,055 bytes
Repository stars
5,784
License
Apache-2.0

Decodes pipe-delimited HL7 v2.x messages (ADT, ORU, MDM, ORM) into structured segments/fields/components and surfaces OBX-5 and NTE-3 free-text narrative for OpenMed. Use before OpenMed processing when ingesting HL7 v2 feeds from an interface engine, lab/results system, or ADT stream and you need the embedded clinical note text de-identified and analyzed. Flatten OBX/NTE text then call openmed.deidentify and openmed.analyze_text; segment-aware redaction is available via openmed.interop.hl7v2.…

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

# Parsing HL7 v2 Messages for OpenMed

HL7 v2.x is the workhorse of hospital interfacing — ADT (admit/discharge/
transfer), ORU (observation results), MDM (document management), and ORM
(orders) messages flow continuously between EHR, lab, radiology, and ancillary
systems. The clinical *narrative* you want for NLP is buried in **OBX-5**
(observation value) and **NTE-3** (notes/comments) fields, wrapped in a
pipe-and-caret encoding. This skill decodes that envelope and hands the free
text to OpenMed.

## When to use

- You receive HL7 v2 messages from an interface engine (Mirth/NextGen Connect,
  Rhapsody, Cloverleaf) and want to mine embedded note/result text.
- A lab feed (ORU^R01) carries impression/comment narrative in OBX/NTE.
- An MDM^T02 transcription message carries a full report in OBX-5.
- You need a de-identified, structured feed into `openmed.analyze_text`.

## HL7 v2 structure in one minute

A message is **segments** separated by `\r` (carriage return). Each segment is
3-letter-named, then **fields** split by `|`, **components** by `^`,
**repetitions** by `~`, **sub-components** by `&`, with `\` as escape. The
…

Read the whole file at its exact version.

How to install

The exact contents, by fingerprint
mdr add maziyarpanahi/openmed/parsing-hl7v2-messages@sha256:334df5b04b51213d

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

mdr badge

[![mdr](https://markdownregistry.com/badge/art_ifgirdcjdaq7w4pm.svg)](https://markdownregistry.com/a/art_ifgirdcjdaq7w4pm)

2 badge image fetches in 30 days. What the badge shows.

Versions

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

versioncommittedcommitsizeaudit
v1.0 latest2026-07-20 74f7d6b 7,055 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 (7055 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_ifgirdcjdaq7w4pm
GET https://markdownregistry.com/api/v1/resolve?ref=maziyarpanahi/openmed/parsing-hl7v2-messages
GET https://markdownregistry.com/api/v1/blob/334df5b04b51213d59fd02371492f10a86ef4a123ba434c6cbbb86b92aff822e

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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