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pydicom

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.

72

Quality

90%

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SecuritybySnyk

Passed

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SKILL.md
Quality
Evals
Security

Quality

Content

92%Weight 40%Scale 1-5

Reviews the quality of instructions and guidance provided to agents. Good implementation is clear, handles edge cases, and produces reliable results.

An excellent, dense, and highly actionable skill body: executable code, explicit validation and feedback loops for the risky de-identification workflow, and a clean one-level-deep bundle structure. The only real cost is mild redundancy in the PHI/de-identification and key-management prose, which could be consolidated to save tokens.

DimensionReasoningScore

Conciseness

The body is dense and consistently version-specific or domain-specific (pydicom 3.0 migration notes, plugin pins, LUT transform ordering, PS3.15 Annex E caveats) with no generic-library padding, fitting the 'efficient with minor trimmable instances' anchor. It falls short of 5 because PHI/de-identification caveats recur across the safety boundary, JSON/private elements, de-identification, and helper CLI sections, and the key-management, supply-chain, and citation prose could be tightened or moved to a reference.

4 / 5

Actionability

Guidance is fully executable: complete code for dcmread with specific_tags, FileMetaDataset construction with enforce_file_format=True and overwrite=False, frame-indexed pixel_array decoding, ordered LUT transforms, and copy-paste CLI invocations with real flags covering the common cases. Placeholder paths are explicitly declared illustrative pending authorized files, which is a justified use of placeholders rather than pseudocode.

5 / 5

Workflow Clarity

The numbered 'Choose the workflow' section routes tasks to specific scripts, and the 9-step de-identification workflow has explicit validation checkpoints (preserve originals at step 3, run technical validation and audit with expert verification at step 9) plus dedicated feedback-loop scripts (deidentification_audit.py, uid_mapping_validator.py). This matches the anchor requiring explicit validation steps, feedback loops, and checklists for complex processes.

5 / 5

Progressive Disclosure

The SKILL.md is an overview with two clearly signaled, purpose-stated references ("Read references/transfer_syntaxes.md before compression, decompression, or encapsulation"; "Read references/common_tags.md for tag access, privacy classes, and standard pointers") that are one level deep (verified: they contain no nested skill-file references), and ten documented scripts with CLI examples. Bulk tag and plugin-matrix detail appropriately lives in the reference files rather than inline.

5 / 5

Total

19

/

20

Passed

Description

83%Weight 40%Scale 1-5

Based on the skill's description, can an agent find and select it at the right time? Clear, specific descriptions lead to better discovery.

A strong, third-person description with concrete actions, comprehensive domain coverage, and a clear niche. The main gaps are the absence of natural trigger phrasing ("Use when…"), the ".dcm" file extension, and common synonyms such as "anonymize" that would improve routing and completeness.

Suggestions

Add an explicit trigger clause, e.g., "Use when working with DICOM files (.dcm), medical imaging metadata, or when the user mentions DICOM, pixel data, compression, or de-identification."

Include natural synonyms and extensions users would actually say: ".dcm", "DICOM files", "medical imaging", "anonymize".

Consider naming the audience-facing capabilities in user terms (e.g., "inspect headers", "convert frames") alongside the domain vocabulary.

DimensionReasoningScore

Specificity

The description lists five concrete actions ("Reads, inspects, writes, transforms, and preflights local DICOM datasets and pixel data") and comprehensively enumerates the covered domains ("DICOM metadata, transfer syntaxes, compression plugins, frames, private elements, JSON, and bounded de-identification review"), matching the comprehensive-coverage anchor rather than the minor-gaps anchor at 4.

5 / 5

Completeness

The 'what' is explicit and concrete, and the 'when' is present via the explicit applicability statement "Applies to DICOM metadata, transfer syntaxes, compression plugins, frames, private elements, JSON, and bounded de-identification review". It falls short of the 5 anchor because it lacks concrete user-situation trigger phrases (e.g., "Use when working with DICOM files or when the user mentions de-identification"), and stays above 3 because the 'when' is explicitly stated rather than weakly implied.

4 / 5

Trigger Term Quality

Good keyword coverage with natural domain terms ("DICOM datasets", "pixel data", "DICOM metadata", "frames", "de-identification"), but a few natural terms users would say are missing: the ".dcm" file extension, "DICOM files", and synonyms like "anonymize". This fits the 4 anchor (good coverage, a few natural terms missing) rather than the 5 anchor, which requires synonyms and file extensions.

4 / 5

Distinctiveness Conflict Risk

"local DICOM datasets and pixel data" carves out a clear niche with distinct triggers; DICOM I/O, transfer syntaxes, and bounded de-identification are unlikely to collide with other skills, matching the minimal-conflict-risk anchor.

5 / 5

Total

18

/

20

Passed

Validation

100%

Checks the skill against the spec for correct structure and formatting. All validation checks must pass before discovery and implementation can be scored.

Validation — 16 / 16 Passed

Validation for skill structure

No warnings or errors.

Repository

K-Dense-AI/scientific-agent-skills

Path

skills/pydicom/SKILL.md

Reviewed

Table of Contents

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