SKILL verified Apache-2.0 Self-run

Clinical Anonymization

Name: Clinical Anonymization
Availability: InStock
Author: elisaterumi-ai

skill-elisaterumi-ai-agent-skills-in-practice-clinical-anonymization · by elisaterumi-ai

Removes sensitive data from clinical text while preserving meaning. Use for healthcare data.

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Install

$ agentstack add skill-elisaterumi-ai-agent-skills-in-practice-clinical-anonymization

✓ scanned · ✓ verified, works with Claude Code, Cursor, and more.

Security review

✓ Passed

No issues found. Passed automated security review. · v0.1.0 How review works →

✓ Prompt-injection patterns
✓ Secret / credential exfiltration
✓ Dangerous shell & filesystem operations
✓ Untrusted network calls
✓ Known-malicious package signatures

What it can access

✓ Network access No
✓ Filesystem access No
✓ Shell / process execution No
✓ Environment & secrets No
✓ Dynamic code execution No

From automated source analysis of v0.1.0. “Used” means the capability is present in the source — more access means more to trust, not that it’s unsafe.

View the full security report →

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Reliability & compatibility

✓ Security review passed

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● 2mo ago

Declared compatibility

Claude CodeClaude Desktop

Compatibility is declared by the source manifest. End-to-end runtime verification is coming, see below.

Preview Execution monitoring

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About

Instructions

Identify sensitive data:

Names
Dates
Locations
IDs

Replace with placeholders:

[NAME]
[DATE]
[LOCATION]
[ID]

Preserve clinical meaning

Output Format

Anonymized text

Source & license

This open-source skill is cataloged on AgentStack and links to its original source — we do not rehost the code.

Author: elisaterumi-ai
Source: elisaterumi-ai/agent-skills-in-practice
License: Apache-2.0

Install and usage instructions live in the source repository linked above.

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Versions

v0.1.0 Imported from the upstream source.