pydicom
No security findings. Scanned 1 time, most recently 2026-10-21.
Second scanner: NVIDIA SkillSpector
Independent static run, no language model, over the same files as the Cisco scan above. How the two scanners compare across the whole corpus: Two scanners, one corpus.
What this skill does
Reads, inspects, writes, transforms, and preflights local DICOM datasets and pixel data. Applies to DICOM metadata, transfer syntaxes, compression plugins, frames, private elements, JSON, and bounded de-identification review.
- Package
- 13 files, 182 KB
- SKILL.md
- 2123 words, 12+ sections
- Code
- Python (10)
- License
- MIT
- Compatibility
- Python 3.12+ for the tested pixel stack; pydicom 3.0.2 alone needs Python 3.10+; optional pinned NumPy, Pillow, and pixel plugins. Helper CLIs are local-only and require authorized data.
SKILL.md covers: pydicom · Mandatory safety boundary · Installation · JPEG/JPEG-LS, JPEG 2000/HTJ2K, and faster RLE through pylibjpeg · JPEG-LS encoder/decoder · Alternative decoder with platform-specific wheels · Choose the workflow · Read datasets safely · Dataset, DataElement, and sequences · Add all attributes required by the selected IOD before writing. · UIDs and transfer syntax · Pixel data and frames
Findings
No findings. SAFE
What is in the package
| File | Kind | Size |
|---|---|---|
SKILL.md | doc | 19 KB |
references/common_tags.md | doc | 13 KB |
references/transfer_syntaxes.md | doc | 15 KB |
scripts/__init__.py | script | 60 B |
scripts/_common.py | script | 29 KB |
scripts/anonymize_dicom.py | script | 25 KB |
scripts/deidentification_audit.py | script | 13 KB |
scripts/dicom_inventory.py | script | 13 KB |
scripts/dicom_to_image.py | script | 17 KB |
scripts/extract_metadata.py | script | 12 KB |
scripts/pixel_frame_planner.py | script | 10 KB |
scripts/transfer_syntax_inspector.py | script | 7.7 KB |
scripts/uid_mapping_validator.py | script | 8.5 KB |
External hosts referenced
pydicom.github.io dicom.nema.org pypi.org arxiv.org doi.org export.arxiv.org github.com www.dicomstandard.org
Hostnames that appear in the skill's files. Referencing a host is not a finding; compare against the findings above and the skill's stated purpose.
Package contents recorded 2026-10-22 at commit 593377bb0487. The scan above ran against the version current at scan time; the two can differ if the skill has since been updated.
What we checked
- Static analyzer. Pattern rules over SKILL.md and bundled files: known-bad commands, exfiltration URLs, secrets, obfuscation.
- Bytecode analyzer.
- Pipeline analyzer.
- Correlation analyzer.
- Behavioral analyzer. Checks what the skill asks the agent to do against what its description claims it does.
- Trigger analyzer. Looks for instructions that fire on conditions the user did not ask for.
What we did not check
- Runtime behaviour. The skill was not executed; findings come from reading its files.
- Anything fetched at install or run time, including remote scripts, package dependencies, and URLs the skill tells the agent to open.
- Content the analyzers cannot read: images, binaries, and some non-English text.
- Known scanner bypass classes. See the methodology and limitations page.
Sources
- Repository: https://github.com/K-Dense-AI/scientific-agent-skills
- Raw scan result: skills-pydicom-scan.json
- Badge for your README:
- Request a re-scan