medical-topic-saturation-and-whitespace-checker

Maps whether a biomedical research topic, subtopic, or study angle is truly saturated, superficially crowded, strategically occupied, or still open for differentiated entry. Use this skill when a user wants to know whether a hot medical research direction is already overworked, whether meaningful whitespace remains, whether major groups have already occupied the obvious claims, and whether the timing window is still open. Always distinguish popularity from true saturation, and distinguish cosmetic novelty from meaningful differentiating entry.

Quality

86%

Does it follow best practices?

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Adds up to 20 points to the overall score

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Securityby

Passed

No findings from the security scan

Quality

Content

85%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.

The body is a well-structured, highly actionable instruction-only skill with clear sequencing and excellent progressive disclosure through real reference files. Its main weakness is redundant restatement of the same anti-patterns across three sections.

Suggestions

Consolidate the duplicated "should not" guidance: merge "What This Skill Should Not Do" and the overlapping items in "Hard Rules" into a single canonical list, keeping only distinct rules in each section.

Trim restated anti-patterns (e.g. "do not treat publication volume as saturation" appears in Core Function, Step 2, Hard Rule 1, and What This Skill Should Not Do) to a single authoritative location with cross-references.

Consider moving the 12 Hard Rules into a reference file to shorten SKILL.md, retaining only the top behavioral constraints inline.

Dimension	Reasoning	Score
Conciseness	The body is mostly efficient and well-structured, but the "should not" guidance is restated three times across "Core Function", the 12 "Hard Rules", and "What This Skill Should Not Do", which is noticeable padding that could be consolidated.	3 / 5
Actionability	Provides a fully actionable template: an 8-step execution sequence plus a mandatory output structure (Sections A-I) with explicit required fields and table columns per section, giving copy-paste-ready guidance for an instruction-only skill.	5 / 5
Workflow Clarity	Steps are explicitly sequenced ("8 Steps (always run in order)") with a dedicated Step 8 self-critical review checkpoint and a hard-rules checklist serving as validation before final recommendation.	5 / 5
Progressive Disclosure	The "Reference Module Integration" section clearly signals seven one-level-deep reference files, each mapped to specific output sections with "use when..." guidance, and all referenced paths resolve to real files in references/.	5 / 5
	Total	18 / 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.

The description is specific, well-triggered, and complete, explicitly covering both capability and use-conditions in third person. It is a strong model description with only minor keyword-coverage gaps.

Dimension	Reasoning	Score
Specificity	Lists several concrete classification actions ("truly saturated, superficially crowded, strategically occupied, or still open for differentiated entry" and distinguishing "popularity from true saturation" / "cosmetic novelty from meaningful differentiating entry"), with only minor coverage gaps relative to the body's full scope.	4 / 5
Completeness	Explicitly answers both what (maps saturation/crowding/whitespace states) and when ("Use this skill when a user wants to know whether...") with concrete trigger phrases, in clear third-person voice.	5 / 5
Trigger Term Quality	Includes natural user phrases like "overworked", "meaningful whitespace remains", "major groups have already occupied the obvious claims", and "timing window is still open"; coverage is strong though a few common synonyms (e.g. "too crowded", "too late") are only weakly present.	4 / 5
Distinctiveness Conflict Risk	Occupies a clear niche (biomedical research-topic saturation and whitespace detection) with triggers unlikely to fire for unrelated skills, minimizing conflict risk.	5 / 5
	Total	18 / 20 Passed

Validation

93%

Warnings & errors only

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

Validation — 15 / 16 Passed

Validation for skill structure

Criteria	Description	Result
frontmatter_unknown_keys	Unknown frontmatter key(s) found; consider removing or moving to metadata	Warning

	Total	15 / 16 Passed

Repository: aipoch/medical-research-skills
Path: awesome-med-research-skills/Evidence Insight/medical-topic-saturation-and-whitespace-checker/SKILL.md
Commit: 63c61d3

Reviewed: 13 hours ago

Table of Contents

Discovery Implementation Validation

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