reconciling-problem-lists SKILL.md skillA

reconciling-problem-lists 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/reconciling-problem-lists@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/reconciling-problem-lists/SKILL.md
Versions recorded
1
Latest version
v1.0, committed Jul 20, 2026
Size
7,102 bytes
Repository stars
5,784
License
Apache-2.0

Deduplicate and reconcile OpenMed-extracted conditions into one clean active problem list with clinical status (active / resolved / historical). Use after NER and context resolution when the user wants a problem list, condition reconciliation, dedup of synonymous diagnosis mentions, or active-vs-resolved status from a note. Covers clustering synonymous mentions into one concept, excluding negated mentions, applying clinical context (historical / hypothetical / recent) to set status, and…

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

# Reconciling problem lists

A single note mentions the same condition many ways — "DM2," "type 2 diabetes,"
"diabetes mellitus" — across PMH, HPI, and A&P, some negated, some historical.
A usable **problem list** collapses those mentions into one concept per problem,
drops what the patient does not have, and assigns a clinical status (active /
resolved / historical). This skill turns OpenMed's per-mention entity stream plus
ConText axes into that reconciled, de-duplicated list, shaped for USCDI "Problem"
exchange.

## When to use

- After `extracting-clinical-entities` and `resolving-clinical-context`, when the
  user wants a clean problem list, condition reconciliation, or dedup of repeated
  diagnosis mentions.
- You need active-vs-resolved-vs-historical status per problem, not just raw
  mentions.
- You are assembling a FHIR Condition list or a USCDI Problem element and need
  one entry per concept.

## Quick start

```python
import openmed
from openmed.clinical import resolve_span_context, NEGATED, HISTORICAL, HYPOTHETICAL

note = ("PMH: type 2 diabetes, prior MI 2019 (resolved). "
        "A&P: poorly controlled DM2; denies chest pain.")
…

Read the whole file at its exact version.

How to install

The exact contents, by fingerprint
mdr add maziyarpanahi/openmed/reconciling-problem-lists@sha256:46d6a521f0d77adb

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_gysnzqbf62n57z3y.svg)](https://markdownregistry.com/a/art_gysnzqbf62n57z3y)

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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 7,102 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 (7102 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_gysnzqbf62n57z3y
GET https://markdownregistry.com/api/v1/resolve?ref=maziyarpanahi/openmed/reconciling-problem-lists
GET https://markdownregistry.com/api/v1/blob/46d6a521f0d77adb2f5e1ba41cca9e1b90a321a9e98476effb2cbbbe66d74bc7

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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