agentsclimarketplace

Clinical anonymization

Skill elisaterumi-ai/agent-skills-in-practice/examples/clinical-anonymization

Removes sensitive data from clinical text while preserving meaning. Use for healthcare data.From its SKILL.md

Install
npx -y skills add elisaterumi-ai/agent-skills-in-practice --skill clinical-anonymization

Assembled from the repository path, not quoted from the project. Check it against their README if it does not work.

SKILL.md

0.4 KB, 68 tokens by cl100k_base, as published. Nobody here has run it

Instructions

  1. Identify sensitive data:

    • Names
    • Dates
    • Locations
    • IDs
  2. Replace with placeholders:

    • [NAME]
    • [DATE]
    • [LOCATION]
    • [ID]
  3. Preserve clinical meaning

Output Format

  • Anonymized text

What ships with it

Read from the repository

Just SKILL.md. No reference files, no scripts.

Gives 0 of the 12 instructions most healthcare skills give in 68 tokens

Counted across 147 of the 152 authors here whose files we hold, read 2026-08-07

  • Export trial data to CSV formatin 11 of 147, across 2 files
  • Retrieve trial details using an NCT IDin 11 of 147, across 2 files
  • Split clinical datasets strictly by patientin 11 of 147, across 3 files
  • Use the ClinicalTrials.gov API v2in 10 of 147, across 1 file
  • Search trials by condition, drug, location, status or phasein 10 of 147, across 1 file
  • Use maximum page size for bulk data retrievalin 10 of 147, across 1 file
  • Extract and summarize key study informationin 10 of 147, across 1 file
  • Combine multiple filters for targeted searchesin 10 of 147, across 1 file
  • Print and review dataset statistics before modelingin 8 of 147, across 1 file
  • Start model development with simple baselinesin 8 of 147, across 1 file
  • Match preprocessing processors directly to data typesin 8 of 147, across 1 file
  • Monitor validation metrics for task type and class imbalancein 8 of 147, across 1 file

Said here and by no other author read

  • Identify names
  • Identify dates
  • Identify locations
  • Replace names with [NAME]
  • Replace dates with [DATE]
  • Replace locations with [LOCATION]

Grouped from the skills themselves: near-identical wordings counted once, and counted by distinct author, so one author publishing three of these counts once. Length counted with cl100k_base; the agent that loads this file may tokenize it differently.

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