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pydicom DICOM Toolkit Skill

Guides Claude to read, write, and process DICOM files with pydicom 3.0.2 while enforcing PHI-safe output and a bounded de-identification preflight.

Dev & CodingAdvanced33,0303,248AI score 9/10Last updated: Aug 9, 2026

What it does

  • Enforces safe reading patterns (stop_before_pixels, specific_tags allowlists, defer_size) and forbids printing full Dataset objects or full JSON so protected health information never leaks into logs.
  • Covers transfer syntax inspection, compression/decompression, encapsulation, frame-level decoding via pydicom.pixels, and the correct Modality LUT → VOI LUT ordering.
  • Provides a 9-step de-identification workflow grounded in DICOM PS3.15 Annex E, plus bundled helper CLIs for metadata aggregation, codec preflight, frame/memory planning, audit, and UID-map validation.
  • Documents pydicom 3.0 migration traps (read_file() removal, write_like_original deprecation, pixel_data_handlers sunset, JPEGLossless UID change).

Who it's for

  • Medical imaging researchers and healthcare-AI data engineers wrangling large DICOM archives.
  • Teams preparing pseudonymized export datasets who need a technical preflight before expert review.
  • Developers validating JPEG 2000 / JPEG-LS / RLE plugin availability in a controlled deployment.

Examples

  1. "Summarize this DICOM folder by modality and image size" → python scripts/extract_metadata.py authorized/ --recursive returns a redacted aggregate report.
  2. "Export frame 0 of this CT as a PNG" → pixel_array(path, index=0) with LUT transforms, or dicom_to_image.py --acknowledge-pixel-phi.
  3. "Build a pseudonymized derivative for export" → generate a UID key, run anonymize_dicom.py, then deidentification_audit.py, keeping originals intact and flagging the result for expert verification.

· · · Install guide · · ·

Try it now, no install

Paste this into Claude to use the skill without installing anything.

Read the instructions in this file and follow them to help me:
https://raw.githubusercontent.com/K-Dense-AI/scientific-agent-skills/HEAD/skills/pydicom/SKILL.md

What I want: (describe your task here)

If Claude can't open the link, open it yourself and paste the contents instead.

If it works for you, download the ZIP below and install it. Then it runs on its own — no pasting each time.

Install in the Claude app (no terminal)
  1. Download the ZIP with the button below.
  2. In Claude, open Settings → Capabilities and turn on 'Code execution and file creation'. (one time)
  3. Go to Customize → Skills → + → 'Upload a skill' and upload the ZIP.
Download ZIP
Install in Claude Code

Let Claude do it — paste this into Claude Code

Install the skill I found on Claude Skill Mart.
Copy the skills/pydicom folder from the GitHub repo K-Dense-AI/scientific-agent-skills into my ~/.claude/skills/pydicom/.
When it's done, tell me in one line what this skill can do.

Install with a command instead

git clone https://github.com/K-Dense-AI/scientific-agent-skills.git && mkdir -p ~/.claude/skills && cp -r scientific-agent-skills/skills/pydicom ~/.claude/skills/

This is a third-party skill. Check the source repository before installing.

  1. Open a terminal in the folder where you keep source checkouts.
  2. Clone the repo: git clone https://github.com/K-Dense-AI/scientific-agent-skills.git
  3. Create the skills folder: mkdir -p ~/.claude/skills
  4. Copy the skill: cp -r scientific-agent-skills/skills/pydicom ~/.claude/skills/
  5. Create and activate a Python 3.10+ virtual environment, then install the pinned stack: uv pip install "pydicom==3.0.2" "numpy==2.5.1" "Pillow==12.3.0"
  6. Add only the codec plugins you need, e.g. uv pip install "pylibjpeg==2.1.0" "pylibjpeg-libjpeg==2.4.0" "pylibjpeg-openjpeg==2.5.0"
  7. Restart Claude Code and try a prompt like "inspect the DICOM metadata in ./authorized".
  8. Use it only on local data you are authorized to access, and keep original files preserved in controlled storage.