running-zeroshot-ner SKILL.md skillA
running-zeroshot-ner 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-zeroshot-ner@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-zeroshot-ner/SKILL.md- Versions recorded
- 2
- Latest version
- v1.0, committed Oct 30, 2026
- First version recorded
- Jul 20, 2026
- Size
- 6,747 bytes
- Repository stars
- 5,784
- License
- Apache-2.0
Extract arbitrary, custom entity types from clinical or biomedical text with no fine-tuning using OpenMed's GLiNER / GLiNER2 zero-shot support. Use when the user wants to define their own labels on the fly (e.g. Drug, Symptom, Device, Procedure), has no labelled data or a label set not covered by a fine-tuned model, or asks about openmed zero deps/index/infer, the gliner extra, or GLiNER. Pairs adjacent to extracting-clinical-entities (use that for high-accuracy fixed-schema NER) 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
# Running Zero-Shot NER
Zero-shot NER lets you extract entity types you **name at inference time** — no
training, no labelled data. OpenMed wraps GLiNER (v1) and GLiNER2 behind a small
index + inference layer, exposed via the `openmed zero` CLI and the `openmed.ner`
Python API. It runs on-device.
## When to use
- Your label set is **custom or evolving** ("Device", "Implant", "Allergen") and no
fine-tuned OpenMed model emits exactly those labels.
- You have **no labelled data** to fine-tune with.
- You need a quick prototype or a one-off extraction over an unusual schema.
**When to prefer a fine-tuned model instead** (`extracting-clinical-entities`):
for a fixed, well-supported schema (diseases, drugs, anatomy), a fine-tuned
OpenMed model is more accurate and faster than zero-shot. Zero-shot trades some
accuracy for total label flexibility — use it for coverage of new types, then
graduate to a fine-tuned model once the schema stabilises.
## Install
```bash
pip install "openmed[gliner]" # GLiNER v1 span models
pip install "openmed[gliner2]" # GLiNER2.5 checkpoints via gliner2.AutoExtractor
…Read the whole file at its exact version.
How to install
mdr add maziyarpanahi/openmed/running-zeroshot-ner@sha256:141be4d2dc859252The 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_ahuio2ijrxldikro)
3 badge image fetches in 30 days. What the badge shows.
Versions
The registry has recorded 2 versions of this file, between Jul 20, 2026 and Oct 30, 2026, about one every 102 days.
| version | committed | commit | size | audit | |
|---|---|---|---|---|---|
| v1.0 latest | 2026-10-30 | f81095a | 6,747 B | A | view · diff |
| v1.0 | 2026-07-20 | 74f7d6b | 6,632 B | A | view |
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 (6747 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_ahuio2ijrxldikro GET https://markdownregistry.com/api/v1/resolve?ref=maziyarpanahi/openmed/running-zeroshot-ner GET https://markdownregistry.com/api/v1/blob/141be4d2dc859252bd64ebdeb13c18adec47020a16611cf0afe10f195d36133d
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.