deidentifying-multilingual-text
De-identify non-English clinical text on-device with OpenMed by passing lang= and locale= to deidentify(). Use when the user has Spanish, German, French, Italian, Portuguese, Dutch, Hindi, Telugu, Arabic, Japanese, or Turkish medical notes, needs locale-aware fake surrogates, must handle language-specific national IDs (DNI, NIR, Steuer-ID, codice fiscale, BSN, CPF, TCKN, Aadhaar), or asks which languages OpenMed PII supports. Covers SUPPORTED_LANGUAGES, get_pii_models_by_language, get_patterns_for_language, LANG_TO_LOCALE, and accent normalization. Pairs with OpenMed deidentifying-clinical-tex
Profile →npx skills add maziyarpanahi/openmed --skill deidentifying-multilingual-text --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.
# De-identifying multilingual text OpenMed de-identifies clinical text in many languages, each with a dedicated PII model, language-specific regex patterns (national IDs, phone formats), and a locale-aware surrogate generator. Pass `lang=` to `deidentify` / `extract_pii` and the right model, patterns, and fake-data tables are selected automatically. Everything runs **on-device**. ## When to use this skill Use it whenever the source text is not English, or when surrogates must look native to the locale (a German note should get German-looking fake names and a valid-format Steuer-ID surrogate, not a US SSN). ## Discover supported languages at runtime — don't hardcode ```python import openmed from openmed.core.pii_i18n import SUPPORTED_LANGUAGES, get_patterns_for_language print(sorted(SUPPORTED_LANGUAGES)) # query it; the set is the source of truth # Language-appropriate default model for a code: models = openmed.get_pii_models_by_language("es") # Language-specific regex patterns (national IDs, phones, etc.): patterns = get_patterns_for_language("de") ``` The set currently spans English plus European, South Asian, Middle Eastern, and East Asian languages — but **always read `SUPPORTED
- When to use this skill
- Discover supported languages at runtime — don't hardcode
- Quick start (Spanish)
- Workflow
- Language-specific national IDs
- Hand-off to / from OpenMed
- Edge cases & gotchas
- Standards & references
What does the deidentifying-multilingual-text skill do?
De-identify non-English clinical text on-device with OpenMed by passing lang= and locale= to deidentify(). Use when the user has Spanish, German, French, Italian, Portuguese, Dutch, Hindi, Telugu, Arabic, Japanese, or Turkish medical notes, needs locale-aware fake surrogates, must handle language-specific national IDs (DNI, NIR, Steuer-ID, codice fiscale, BSN, CPF, TCKN, Aadhaar), or asks which languages OpenMed PII supports. Covers SUPPORTED_LANGUAGES, get_pii_models_by_language, get_patterns_for_language, LANG_TO_LOCALE, and accent normalization. Pairs with OpenMed deidentifying-clinical-tex
How do I install it?
Run `npx skills add maziyarpanahi/openmed --skill deidentifying-multilingual-text --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.