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tooluniverse-clinical-trial-design

Strategic clinical trial design feasibility assessment. Analyzes 6 dimensions (endpoint, population, comparator, effect size, duration, regulatory pathway) using precedent trials and FDA guidance. Produces enrollment projections, endpoint recommendations, and approval-pathway analysis. Use for trial-protocol design, power/sample-size estimation, comparator selection, and FDA submission strategy. Driven by precedent-based reasoning rather than first-principles math.

64

Quality

76%

Does it follow best practices?

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SecuritybySnyk

Low

Low-risk findings worth noting

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tessl review fix ./plugins/tooluniverse/skills/tooluniverse-clinical-trial-design/SKILL.md

The canonical home for this skill is tooluniverse-clinical-trial-design in mims-harvard/ToolUniverse

SKILL.md
Quality
Evals
Security

Quality

Content

63%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-structured, actionable skill body with concrete code, clear workflow sequencing, and useful validation artifacts (evidence grading, feasibility score). Its main weakness is progressive disclosure: every referenced reference file is missing from the bundle, breaking the navigation promise and leaving duplicated content inline.

Suggestions

Ship the six referenced bundle files (REPORT_TEMPLATE.md, STUDY_DESIGN_PROCEDURES.md, WORKFLOW_DETAILS.md, BEST_PRACTICES.md, EXAMPLES.md, QUICK_START.md) under references/ so the well-signaled progressive-disclosure structure actually resolves.

De-duplicate the inline 14-section outline and per-path tool lists against REPORT_TEMPLATE.md and STUDY_DESIGN_PROCEDURES.md so SKILL.md stays a lean overview rather than restating the reference content.

Add an explicit validation checkpoint in the 6-path workflow (e.g. 'confirm each path returned data before compiling the report; if a path returns empty, re-query with broader terms') to close the workflow-clarity feedback-loop gap.

DimensionReasoningScore

Conciseness

Mostly efficient and information-dense, but the inline 14-section report outline and full per-path tool lists duplicate content promised to reference files, and some conceptual framing of endpoint/comparator tradeoffs could be tightened.

3 / 5

Actionability

Provides executable Python (Quick Start, ClinicalTrials.gov v2 pagination, OpenFDA query) plus specific tool lists and concrete grading/score tables; the main gap is that per-path detailed steps are delegated to STUDY_DESIGN_PROCEDURES.md, which is not present in the bundle.

4 / 5

Workflow Clarity

Clear sequence — four reasoning questions first, then six parallel research paths, then mandatory report-first compilation — with feasibility-score interpretation and evidence grading as checkpoints; lacks an explicit validate→fix→retry feedback loop.

4 / 5

Progressive Disclosure

References are well-signaled and one level deep with a Reference Files table, but none of the six referenced files (REPORT_TEMPLATE.md, STUDY_DESIGN_PROCEDURES.md, WORKFLOW_DETAILS.md, BEST_PRACTICES.md, EXAMPLES.md, QUICK_START.md) exist in the bundle, and inline content overlaps the promised split.

3 / 5

Total

14

/

20

Passed

Description

88%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 states both capabilities and use-cases with concrete trigger phrases in proper third-person voice. Minor gaps in trigger-term synonym coverage and slight overlap risk with related tooluniverse skills keep it just below perfect.

DimensionReasoningScore

Specificity

Lists multiple concrete actions ('Analyzes 6 dimensions', 'Produces enrollment projections, endpoint recommendations, and approval-pathway analysis', 'Use for trial-protocol design, power/sample-size estimation, comparator selection, and FDA submission strategy') with comprehensive coverage of the skill's capabilities.

5 / 5

Completeness

Explicitly answers both 'what' ('Analyzes 6 dimensions… Produces enrollment projections…') and 'when' ('Use for trial-protocol design…') with concrete trigger phrases, in correct third-person voice.

5 / 5

Trigger Term Quality

Good natural keyword coverage (clinical trial design, power/sample-size estimation, comparator selection, FDA submission strategy), but a few common user phrases that appear in the body — Phase 1/2 design, basket trial, biomarker trial — are absent from the description.

4 / 5

Distinctiveness Conflict Risk

Clear niche (clinical trial design feasibility) with distinct triggers, but the broader tooluniverse ecosystem contains closely related skills (e.g. precision-oncology covering biomarker biology) creating minor overlap risk.

4 / 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.

Validation16 / 16 Passed

Validation for skill structure

No warnings or errors.

Repository
mims-harvard/ToolUniverse
Reviewed

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