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clinical-decision-support

Prepares and validates research-only clinical decision-support evaluation, evidence-profile, cohort, survival, biomarker/model, privacy, and governance artifacts. Supports aggregate or synthetic research documentation and traceability, excluding patient care and live clinical operation.

64

Quality

81%

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SKILL.md
Quality
Evals
Security

Quality

Content

86%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-engineered, safety-conscious skill body: fully executable commands, a gated workflow with verification steps, and exemplary progressive disclosure into a real, flat reference bundle. The only refinements are trimming dated citation instructions and making error-recovery loops explicit.

DimensionReasoningScore

Conciseness

The body is dense with skill-specific constraints Claude does not already know (FDA January 2026 CDS guidance scope, suppression rules, Wilson-interval reporting, human-review role requirements) and wastes few tokens on known concepts. Minor time-sensitive material — the dated citation/version-fetching instructions and the in-body regulatory dates — could be tightened or moved to the dated source ledger, keeping it at anchor 4 rather than 5.

4 / 5

Actionability

Commands are copy-paste ready: the seven 'python3 scripts/<name>.py --help' invocations, the pytest and run_all verification commands, and the AST-compilation one-liner. The artifact-to-script mapping table, the enumerated required header fields, and concrete behavioral rules ('Undefined proportions are null; balanced accuracy is null when either observed outcome class is absent') fully instruct execution across the common cases.

5 / 5

Workflow Clarity

A clear four-step sequence (frame question → select artifact → run locally → human review) with a pre-execution Data Gate checkpoint and a dedicated Verification section, which satisfies the batch-operation validation requirement. It stops short of anchor 5 because the validate→fix→retry feedback loop is implicit (diagnostics are produced but no explicit 'fix and re-run' instruction is given) and error recovery is not spelled out.

4 / 5

Progressive Disclosure

The body is an overview that consistently defers depth to one-level-deep references: every domain section ends with a pointer (e.g., 'See references/evidence_profiles.md'), the Reference Map enumerates all twelve reference files with their purpose, and all referenced paths exist on disk with no nested reference chains. Assets and scripts are likewise surfaced through the mapping table rather than inlined.

5 / 5

Total

18

/

20

Passed

Description

66%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 specific, well-scoped description that names its domain and artifact types precisely and draws a clear research-only boundary. Its main weakness is the absence of any 'Use when...' trigger clause, which caps completeness, and a few missing natural synonyms that would improve trigger matching.

Suggestions

Add an explicit trigger clause such as 'Use when preparing or reviewing research-only clinical decision-support evaluation artifacts, evidence profiles, cohort tables, survival analysis plans, or de-identification documentation' to satisfy the 'when' half of completeness.

Include natural synonyms users actually say — e.g., 'GRADE evidence profiles', 'de-identification checklists', 'reporting guidelines (STROBE, TRIPOD+AI)' — to strengthen trigger-term coverage.

Qualify broad single-word triggers ('survival', 'cohort', 'privacy') with the research/aggregate context so the description does not fire for general survival-analysis or privacy tasks outside clinical research governance.

DimensionReasoningScore

Specificity

The description lists several concrete capabilities — 'Prepares and validates' clinical decision-support 'evaluation, evidence-profile, cohort, survival, biomarker/model, privacy, and governance artifacts' — giving broad artifact-type coverage. It falls short of anchor 5 because the action verbs are limited to prepare/validate, leaving minor gaps in the action repertoire.

4 / 5

Completeness

The 'what' is clearly stated (preparing and validating research-only clinical decision-support artifacts), but there is no 'Use when...' clause or equivalent explicit trigger guidance — only a negative scope ('excluding patient care and live clinical operation'). Per the rubric guideline, a missing 'Use when...' clause caps completeness at 3; the exclusion phrase only weakly implies when the skill applies.

3 / 5

Trigger Term Quality

Natural terms a clinical-research user would say appear directly: 'clinical decision-support', 'evidence-profile', 'cohort', 'survival', 'biomarker', 'privacy', 'governance'. A few natural synonyms are missing (e.g., 'GRADE', 'de-identification', 'reporting guidelines'), matching anchor 4 rather than the comprehensive synonym coverage of anchor 5.

4 / 5

Distinctiveness Conflict Risk

The research-only framing plus explicit exclusions carve a mostly distinct niche with minimal conflict against adjacent clinical skills. Broad single words like 'survival', 'cohort', and 'privacy' could still trigger overlap with general biostatistics or privacy-deidentification skills, so anchor 5's 'minimal conflict risk' is not fully met.

4 / 5

Total

15

/

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/clinical-decision-support/SKILL.md

Reviewed

Table of Contents

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