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ClaudSkills / Science & Research / science-misc

Dicom Anonymizer

Category: Science & Research  ·  Sub-category: science-misc  ·  Last updated:
type:audit
De-identify DICOM medical images by removing PHI tags for research sharing, with audit logging and study-linkage preservation support.

From the source SKILL.md

Structured DICOM de-identification support for research preparation workflows.

What this skill does

Dicom Anonymizer is a community-contributed Claude Code skill in the science-misc sub-category. It ships as a SKILL.md file that Claude Code auto-discovers under ~/.claude/skills/dicom-anonymizer/ and loads when your prompt matches the skill's trigger.

Who uses this skill

The Dicom Anonymizer Claude Code skill is built for researchers, data scientists, academics, and analysts working with complex data and scientific literature. It's part of ClaudSkills (also referred to as Claude Skills or Claude Code Skills) — the open community-curated registry of 116,000+ SKILL.md files for Anthropic's Claude Code agent and the wider Claude ecosystem (Claude API, Claude Agent SDK).

How to install

Free

Manual install (2 steps)

mkdir -p ~/.claude/skills/dicom-anonymizer
curl -L https://claudskills.com/skills/dicom-anonymizer/SKILL.md \
  -o ~/.claude/skills/dicom-anonymizer/SKILL.md

Or just download SKILL.md directly and drop it into ~/.claude/skills/dicom-anonymizer/. Claude Code auto-discovers it on next session.

Skills live at ~/.claude/skills/dicom-anonymizer/SKILL.md on macOS/Linux, or %USERPROFILE%\.claude\skills\dicom-anonymizer\SKILL.md on Windows. See the full install guide for step-by-step instructions.

Telegram

📱 Install from your phone or desktop Telegram

Open @claudskills_bot on Telegram, tap Open Desktop App, and the desktop app installs this skill for you. Or share the bot link with a colleague — they get the same one-tap install. Learn more →

Pro

One-click install via the desktop app

The ClaudSkills desktop app installs any skill directly into ~/.claude/skills/ with one click — no terminal required. Pro starts at $9/mo or $149 lifetime.

Pro

For the full experience including quality scoring and one-click install features for each skill — upgrade to Pro.

Frequently asked questions

How do I install the Dicom Anonymizer Claude Code skill?
Install via the ClaudSkills desktop app (one click) or copy SKILL.md from the source repository to ~/.claude/skills/dicom-anonymizer/SKILL.md and restart Claude Code. Both flows are detailed at claudskills.com/install/.
What does the Dicom Anonymizer skill do?
De-identify DICOM medical images by removing PHI tags for research sharing, with audit logging and study-linkage preservation support.
Is this skill free to install?
Yes. ClaudSkills is an open registry — every skill keeps its source repository's license, and manual install via copy is free. ClaudSkills Pro ($9/mo, $79/yr, or $149 one-time) adds one-click install via the desktop app and a multi-signal Quality Score.
When should I use the Dicom Anonymizer skill?
Use Dicom Anonymizer when your Claude Code task falls under the Science & Research category — specifically in the science misc area. Claude Code auto-discovers installed skills and invokes the right one based on the task description, so you can also ask Claude directly (e.g. "use Dicom Anonymizer" or describe the task and let Claude pick). Browse related skills at /category/science/.
What is a Claude Code skill and how does the Dicom Anonymizer skill fit in?
A Claude Code skill is a SKILL.md file that lives under ~/.claude/skills/<name>/ and tells the Claude Code CLI agent how to perform a specific task (instructions, prompts, allowed tools). Skills are auto-discovered at session start. Dicom Anonymizer is one of 67,000+ skills indexed in the open ClaudSkills catalog, classified under the Science & Research category. Learn more at /learn/what-is-a-claude-skill/.

Attribution & license

Cite this skill

If you reference this skill in a blog post, paper, or documentation, you can cite it as:

APA
aipoch. (2026). Dicom Anonymizer [Claude Code skill]. ClaudSkills. https://claudskills.com/skills/dicom-anonymizer/
BibTeX
@misc{dicom-anonymizer-2026,
  author    = {aipoch},
  title     = {Dicom Anonymizer [Claude Code skill]},
  year      = {2026},
  publisher = {ClaudSkills},
  url       = {https://claudskills.com/skills/dicom-anonymizer/}
}

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