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medical-imaging-review

Write comprehensive literature reviews for medical imaging AI research. Use when writing survey papers, systematic reviews, or literature analyses on topics like segmentation, detection, classification in CT, MRI, X-ray, ultrasound, or pathology imaging. Triggers on requests f...

68

Quality

83%

Does it follow best practices?

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SecuritybySnyk

Low

Low-risk findings worth noting

SKILL.md
Quality
Evals
Security

Quality

Content

78%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.

A well-organized instruction skill that uses progressive disclosure effectively, keeping the SKILL.md body as an overview while delegating detailed workflow, templates, domains, MCP setup, and QA to reference files. Templates and tool names make the guidance concrete and actionable.

DimensionReasoningScore

Conciseness

The body is efficient and well-structured with tables, templates, and bullet lists that assume Claude's competence, with only minor padding (e.g., the example hedging phrases and citation patterns could be trimmed slightly).

4 / 5

Actionability

Provides concrete copy-paste templates (Method Description, Citation Patterns, Standard Review Structure), named MCP tools (search_papers, read_paper, pubmed_search_articles), and specific metrics (Dice 0.XXX, HD95 X.XX mm, 80–120 refs), with minor gaps since detail is delegated to reference files and templates use placeholders.

4 / 5

Workflow Clarity

A clear 7-phase workflow is referenced and detailed in WORKFLOW.md with sequenced actions and a Phase 6 QA validation checklist, but the body itself delegates the sequence rather than embedding explicit validate-then-proceed checkpoints inline.

4 / 5

Progressive Disclosure

The body is a lean overview pointing to five one-level-deep reference files (all present and correctly linked), organized with a dedicated Reference Files table and inline links for easy navigation.

5 / 5

Total

17

/

20

Passed

Description

87%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, specific description that clearly conveys both purpose and trigger conditions for a medical imaging AI literature-review skill. The main blemish is the truncated final trigger clause ('Triggers on requests f...'), which leaves a sentence incomplete.

Suggestions

Complete the truncated final clause ('Triggers on requests f...') so the description is not cut off mid-sentence.

Consider adding one or two more concrete action verbs beyond 'Write' (e.g., 'organize', 'synthesize', 'compare methods') to broaden the specificity of capabilities.

DimensionReasoningScore

Specificity

Names the domain ('medical imaging AI research') and a concrete action ('Write comprehensive literature reviews') plus enumerated tasks (segmentation, detection, classification) and modalities (CT, MRI, X-ray, ultrasound, pathology), giving broad coverage with a single primary action rather than multiple distinct ones.

4 / 5

Completeness

Explicitly answers both 'what' ('Write comprehensive literature reviews for medical imaging AI research') and 'when' ('Use when writing survey papers, systematic reviews, or literature analyses on topics like...') with concrete trigger phrases.

5 / 5

Trigger Term Quality

Includes natural terms users would say — 'survey papers', 'systematic reviews', 'literature analyses' — with synonyms, though the second trigger clause is cut off ('Triggers on requests f...') so a few natural variations are missing.

4 / 5

Distinctiveness Conflict Risk

Targets a clear niche (medical imaging AI literature reviews) with specific triggers (segmentation/detection/classification in CT/MRI/X-ray/ultrasound/pathology), making overlap with other skills minimal.

5 / 5

Total

18

/

20

Passed

Validation

93%

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

Validation15 / 16 Passed

Validation for skill structure

CriteriaDescriptionResult

frontmatter_unknown_keys

Unknown frontmatter key(s) found; consider removing or moving to metadata

Warning

Total

15

/

16

Passed

Repository
aipoch/medical-research-skills
Reviewed

Table of Contents

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