computing-ecqms SKILL.md skillA
computing-ecqms from maziyarpanahi/openmed is an agent skill: a SKILL.md folder an AI agent loads when a task calls for it.
mdr add maziyarpanahi/openmed/computing-ecqms@v1.0Pins 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/computing-ecqms/SKILL.md- Versions recorded
- 1
- Latest version
- v1.0, committed Jul 20, 2026
- Size
- 6,382 bytes
- Repository stars
- 5,784
- License
- Apache-2.0
Compute electronic clinical quality measures (eCQMs) over structured data using CQL/QDM logic, lifting note-derived numerator and exclusion facts from OpenMed to improve measure capture. Use when the user wants to compute an eCQM, evaluate a CMS/ECQI quality measure, improve numerator capture from clinical notes, build CQL/QDM measure logic, or close documentation gaps that structured codes miss. Covers eCQM structure (IPP/denominator/numerator/exclusions), CQL v1.5 and QDM v5.6, MADiE…
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
# Computing eCQMs
Electronic Clinical Quality Measures (eCQMs) are computed over structured data
using **CQL** (Clinical Quality Language) logic against the **QDM** (Quality
Data Model). Much of what a measure needs — a counseling note, a reason a
service wasn't done, a symptom — lives only in **free text**. This skill uses
OpenMed to lift those facts out of notes (on-device) and feed them into measure
computation so numerators and valid exclusions aren't undercounted.
## When to use this skill
When structured codes under-capture a measure population and the evidence is in
notes: documented exclusions ("patient declined screening"), numerator-relevant
findings, or symptoms gating a measure. Use it *alongside* a certified measure
engine — OpenMed supplements capture; it does not compute or certify the
measure.
## eCQM anatomy (what you're populating)
| Population | Meaning | Where OpenMed helps |
| --- | --- | --- |
| IPP (Initial Population) | everyone the measure could apply to | usually structured (encounters, age) |
| Denominator | IPP meeting base criteria | mostly structured |
…Read the whole file at its exact version.
How to install
mdr add maziyarpanahi/openmed/computing-ecqms@sha256:72ef8f2bdfb6d611The 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.
[](https://markdownregistry.com/a/art_3v7c4r5x5fkag5jd)
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Versions
The registry has recorded 1 version of this file, committed on Jul 20, 2026.
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 (6382 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
maziyarpanahi/openmed · 5,784 stars · license Apache-2.0 · pushed 2026-11-07 · branch master
API
GET https://markdownregistry.com/api/v1/artifacts/art_3v7c4r5x5fkag5jd GET https://markdownregistry.com/api/v1/resolve?ref=maziyarpanahi/openmed/computing-ecqms GET https://markdownregistry.com/api/v1/blob/72ef8f2bdfb6d61184b6e85c81dc5fea8f9c4ea8bd99c3455cac5ccfde1d298c
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.