Getting it into your agent
One page per mod, every tool's command on it. A separate URL per tool would split the same page into five that compete with each other.
npx skills add AlterLab-IEU/AlterLab-Academic-Skills --skill alterlab-pydicomgit clone --depth 1 https://github.com/AlterLab-IEU/AlterLab-Academic-SkillsWrote this? Show the measurements
A badge with what this costs and how it scanned, read live from this page, so it follows the numbers instead of freezing them. Markdown for a README, HTML for a documentation site or a project page.
[](https://agentmods.dev/skills/alterlab-ieu/alterlab-academic-skills/alterlab-pydicom)<a href="https://agentmods.dev/skills/alterlab-ieu/alterlab-academic-skills/alterlab-pydicom"><img src="https://agentmods.dev/badge/skills/alterlab-ieu/alterlab-academic-skills/alterlab-pydicom/github.svg" alt="Measured on agentmods" height="20"></a>Or the 80×15 button, for a site that already has a row of RSS and ATOM ones. Only the verdict fits; the numbers stay here.
<a href="https://agentmods.dev/skills/alterlab-ieu/alterlab-academic-skills/alterlab-pydicom"><img src="https://agentmods.dev/badge/skills/alterlab-ieu/alterlab-academic-skills/alterlab-pydicom.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- NVIDIA SkillSpector pass
What it costs to keep this loaded
Counted locally with the o200k_base tokenizer, which is exact for GPT models; Claude uses its own tokenizer and its counts differ. Treat this as one consistent yardstick across the catalogue rather than a bill. Prices are per million input tokens.
| Model | Per session | Once invoked |
|---|---|---|
| Fable 5.1 | $0.00114 | $0.04186 |
| Opus 5.5 | $0.00046 | $0.01674 |
| Sonnet 5.5 | $0.00023 | $0.00837 |
| Haiku 4.5 | $0.00011 | $0.00419 |
Grade A, and why
alterlab-pydicom scanned grade A with 0 findings against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 1mo ago.
A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.
Nothing flagged
None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.
How it starts
The opening of the file, as written. The whole thing — 469 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Pydicom
Overview
Pydicom is a pure Python package for working with DICOM files, the standard format for medical imaging data. This skill provides guidance on reading, writing, and manipulating DICOM files, including working with pixel data, metadata, and various compression formats.
When to Use This Skill
Use this skill when working with:
- Medical imaging files (CT, MRI, X-ray, ultrasound, PET, etc.)
- DICOM datasets requiring metadata extraction or modification
- Pixel data extraction and image processing from medical scans
- DICOM anonymization for research or data sharing
- Converting DICOM files to standard image formats
- Compressed DICOM data requiring decompression
- DICOM sequences and structured reports
- Multi-slice volume reconstruction
- PACS (Picture Archiving and Communication System) integration
Does NOT Trigger
| Scenario | Use Instead |
|---|---|
| Finding and downloading public cancer imaging collections (NCI Imaging Data Commons) | alterlab-imaging-data-commons |
| Tiling or preprocessing whole-slide pathology images (H&E WSI) | alterlab-histolab |
| Training ML models on clinical imaging or EHR datasets | alterlab-pyhealth |
| Processing ECG/EEG/EDA physiological waveforms | alterlab-neurokit2 |
Installation
Targets pydicom 3.x (current release 3.0.2 as of 2026-09; Python >= 3.10). 3.0 reorganized the pixel APIs — see the version note below. Install pydicom and common dependencies:
uv pip install "pydicom>=3.0"
uv pip install pillow # For image format conversion
uv pip install numpy # For pixel array manipulation
uv pip install matplotlib # For visualization
For handling compressed DICOM files, additional packages may be needed:
uv pip install pylibjpeg pylibjpeg-libjpeg pylibjpeg-openjpeg # JPEG / JPEG 2000 decode; JPEG 2000 encode
uv pip install pylibjpeg-rle # faster RLE encode/decode (pydicom's own RLE codec also works)
uv pip install python-gdcm # Alternative decoder for most compressed syntaxes
uv pip install pyjpegls # JPEG-LS encode/decode
What ships with it
6 files beside SKILL.md in the same directory: the scripts, references and assets a skill reads on demand. Not counted in the per-session cost; read them before you install if any of them is executable.
What this file has done since we first saw it
Hashed on every crawl. A supply-chain change to an agent config is a question of when, not whether, so the history is kept rather than the latest state alone.
- 1mo ago Changed · +22 lines 97f607d1bbf4
- 1mo ago First seen · 447 lines · 114 tokens per session scan A 75c5dd233d2a
alterlab-pydicom is a skill published in the GitHub repository AlterLab-IEU/AlterLab-Academic-Skills (78 stars, last pushed 4d ago), licensed MIT. It adds 114 tokens to every session and 4,186 once invoked, about $0.0005 per session on Opus 5.5. A static security scan graded it A with 0 findings. No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-30.
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