building-with-openmed
Orient and bootstrap any project that uses OpenMed, the on-device clinical and biomedical NLP library, for named-entity recognition, PHI de-identification, FHIR export, and evaluation. Use when the user mentions OpenMed, wants to install it, asks which OpenMed capability or model fits a task, or is starting to build a clinical/medical text pipeline and needs the right entry point.
npx skills add maziyarpanahi/openmed --skill building-with-openmed --agent claude-code
Same command for any agent — swap --agent for codex, cursor, copilot.
Weekly change comes from our own snapshots, not the repository page — it measures attention, not adoption.
# Building with OpenMed OpenMed is an Apache-2.0, **local-first** Python library for clinical and biomedical NLP. Models download once from the Hugging Face Hub and then run **fully on-device** — no network calls, no telemetry, no raw PHI in logs, caches, or temp files. This skill is the map: it tells you what OpenMed can do and which focused skill (or API) to reach for next. ## When to use this skill Use it to scope a task and pick an entry point. For the actual work, hand off to the focused OpenMed skills (each is grounded in the real API): | Task | Skill / API | | --- | --- | | Find and load a model | `loading-openmed-models`, `choosing-openmed-models` | | Run clinical/biomedical NER | `extracting-clinical-entities` (`openmed.analyze_text`) | | Zero-shot NER (no fine-tune) | `running-zeroshot-ner` (`openmed zero`) | | Remove / mask PHI | `deidentifying-clinical-text` (`openmed.deidentify`) | | Detect PHI spans only | `extracting-pii-entities` (`openmed.extract_pii`) | | Restore masked PHI | `reidentifying-text` (`openmed.reidentify`) | | Pick a privacy policy | `configuring-privacy-policies` (7 bundled profiles) | | Non-English PHI | `deidentifying-multilingual-text` | | Signed,
- When to use this skill
- Install
- The three core calls
- Discover what is available at runtime
- Non-negotiable rules when building with OpenMed
- A typical pipeline
pip install openmed # core: NER + de-identification pip install "openmed[hf]" # add Hugging Face model downloads pip install "openmed[mcp]" # Model Context Protocol server pip install "openmed[service]" # FastAPI REST service pip install "openmed[mlx]" # Apple Silicon acceleration pip install "openmed[presidio]" # Microsoft Presidio bridge
What does the building-with-openmed skill do?
Orient and bootstrap any project that uses OpenMed, the on-device clinical and biomedical NLP library, for named-entity recognition, PHI de-identification, FHIR export, and evaluation. Use when the user mentions OpenMed, wants to install it, asks which OpenMed capability or model fits a task, or is starting to build a clinical/medical text pipeline and needs the right entry point.
How do I install it?
Run `npx skills add maziyarpanahi/openmed --skill building-with-openmed --agent claude-code` — it drops the skill into your project so the agent can pick it up. Swap the --agent value for codex, cursor or copilot if you use one of those.
Where does this skill come from?
From maziyarpanahi/openmed, a repository with 4,851 stars. We read it straight from the repository tree rather than a submitted listing, so what you see here is what is actually published.
Is a popular skill a good skill?
Not necessarily. Stars measure attention, not adoption — a repository can trend for a week and be abandoned. That is why we show the weekly change from our own snapshots next to the total, instead of a single flattering number.