Agent skill · Data & Analytics

pseudonymizing-for-gdpr

Apply GDPR-grade pseudonymization to clinical or personal text with OpenMed, keeping a separately-held re-linkage key so the data can be controlled-re-linked later. Use when the user must process EU personal/health data under GDPR, asks for pseudonymization vs anonymization, needs Art. 4(5) / Art. 9 / Recital 26 alignment, wants a reversible mapping/key vault held apart from the data, or needs controlled re-linkage. Covers openmed.deidentify(policy=\"gdpr_pseudonymization\", keep_mapping=True), storing the mapping in a separate key vault, reidentify() for authorized re-linkage, and retention.

Maziyar Panahi4,851★ · 1 repos on radarProfile →
claude-codeApache-2.0
Install
npx skills add maziyarpanahi/openmed --skill pseudonymizing-for-gdpr --agent claude-code

Same command for any agent — swap --agent for codex, cursor, copilot.

Facts
Files in the skill folder: 1
SKILL.md size: 8 KB
Bundled scripts: none
Version: 1.0
Path: skills/pseudonymizing-for-gdpr/SKILL.md
Open the folder on GitHub →
Where it comes from
Stars: 4,851
Language: Python
Read our review of the source →

Weekly change comes from our own snapshots, not the repository page — it measures attention, not adoption.

From the SKILL.md

# Pseudonymizing for GDPR Pseudonymization under the GDPR (Art. 4(5)) means processing personal data so it "can no longer be attributed to a specific data subject without the use of **additional information**" — provided that additional information (the re-linkage key) is "kept separately and is subject to technical and organisational measures." Crucially, **pseudonymized data is still personal data** (Recital 26): re-linkage is possible, so GDPR still applies. This is the opposite of anonymization, where re-identification is irreversibly prevented and the data falls outside the GDPR. OpenMed implements this with a single reversible de-identification pass plus a mapping you store **away from the data**. This skill covers producing that mapping, vaulting the key separately, and re-linking under authorization. ## When to use - You process EU residents' personal or special-category health data (Art. 9) and need a lawful, reversible safeguard rather than full anonymization. - You need to keep a record-linkage capability (e.g. to recontact a patient, reconcile longitudinal records, or honor a Subject Access Request) but must separate the linkage key from the working dataset. - A reviewe

What's inside
Steps it walks through
  1. When to use
  2. Quick start
  3. Workflow
  4. Hand-off to / from OpenMed
  5. Edge cases & gotchas
  6. Standards & references
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About this skill
What does the pseudonymizing-for-gdpr skill do?

Apply GDPR-grade pseudonymization to clinical or personal text with OpenMed, keeping a separately-held re-linkage key so the data can be controlled-re-linked later. Use when the user must process EU personal/health data under GDPR, asks for pseudonymization vs anonymization, needs Art. 4(5) / Art. 9 / Recital 26 alignment, wants a reversible mapping/key vault held apart from the data, or needs controlled re-linkage. Covers openmed.deidentify(policy=\"gdpr_pseudonymization\", keep_mapping=True), storing the mapping in a separate key vault, reidentify() for authorized re-linkage, and retention.

How do I install it?

Run `npx skills add maziyarpanahi/openmed --skill pseudonymizing-for-gdpr --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.

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