running-openmed-ondevice SKILL.md skillA
running-openmed-ondevice 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/running-openmed-ondevice@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/running-openmed-ondevice/SKILL.md- Versions recorded
- 1
- Latest version
- v1.0, committed Jul 20, 2026
- Size
- 8,099 bytes
- Repository stars
- 5,784
- License
- Apache-2.0
Run OpenMed models fully on-device with the MLX (Apple Silicon), CoreML (iOS/macOS), or ONNX/WebGPU (cross-platform/browser) backends, including convert-quantize-run workflows. Use when the user wants to deploy OpenMed at the edge, run NER/de-id on Apple Silicon, target iPhone/iPad/Mac, export to ONNX or WebGPU, quantize a clinical model to int8/4-bit, run with no network, or pick between MLX/CoreML/ONNX. Covers the mlx/coreml/onnx extras, the convert() functions and python -m convert CLIs…
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
# Running OpenMed on-device OpenMed runs **fully on-device** by design. These three backends let you take it further at the edge: **MLX** (Apple Silicon acceleration), **CoreML** (iOS/macOS / Neural Engine), and **ONNX / WebGPU** (cross-platform and in-browser). The flow is the same: **convert → (quantize) → run locally**. Because inference is local, raw PHI never leaves the device — the strongest privacy posture OpenMed offers. ## When to use this skill When you need OpenMed where there is no server: an iOS/macOS app (CoreML), fast NER/de-id on an Apple Silicon Mac (MLX), or a portable/browser deployment (ONNX/WebGPU). For a hosted endpoint use `serving-openmed-rest-api`; for an agent tool use `deploying-openmed-mcp`; for corpora use `batch-processing-clinical-text`. ## Pick a backend | Backend | Extra | Best for | Quantization | | --- | --- | --- | --- | | **MLX** | `openmed[mlx]` | Apple Silicon Macs; fastest local NER/de-id; on-device LLMs | 4-bit / 8-bit weights | | **CoreML** | `openmed[coreml]` | iOS/iPadOS/macOS apps, Neural Engine | int8 palettization | …
Read the whole file at its exact version.
How to install
mdr add maziyarpanahi/openmed/running-openmed-ondevice@sha256:1e0573b91ea72d30The 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_mcxtq2xdp2cx5smx)
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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 (8099 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_mcxtq2xdp2cx5smx GET https://markdownregistry.com/api/v1/resolve?ref=maziyarpanahi/openmed/running-openmed-ondevice GET https://markdownregistry.com/api/v1/blob/1e0573b91ea72d30f08eadd4f31c160e288e2d85cb34d9c4d5f899d6bfd5843e
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.