drug-repurposing-study-planner

Design evidence-discovery and validation workflows for drug repurposing studies by integrating disease mechanisms, drug-target logic, expression reversal, real-world evidence, and validation routes into a closed-loop study blueprint.

Quality

71%

Does it follow best practices?

Run evals on this skill

Adds up to 20 points to the overall score

View guide

Securityby

Passed

No findings from the security scan

Fix and improve this skill with Tessl

tessl review fix ./awesome-med-research-skills/Protocol Design/drug-repurposing-study-planner/SKILL.md

Quality

Content

71%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, actionable study-design framework with strong progressive disclosure through 10 clearly signaled reference modules. Its main weakness is redundancy across the boundary-enforcement sections, and slightly missing explicit feedback loops in the workflow.

Suggestions

Consolidate the repeated boundary/claim rules: keep one authoritative 'Hard Rules' section and have 'Important Distinctions', 'What This Skill Should Not Do', and 'Quality Standard' reference it instead of restating the same constraints.

Add an explicit validate→fix→retry feedback loop in the validation section (e.g., 'if a go/no-go gate fails, return to Step 4 and re-tier the affected evidence layer before proceeding').

Move the lengthy A–L output structure details into a reference module (e.g., references/09-output-section-rules.md) and keep only the section list inline, tightening the overview.

Dimension	Reasoning	Score
Conciseness	The body is decision-oriented rather than padded with basics, but the same boundaries are restated across 'Important Distinctions', 'Hard Rules', 'What This Skill Should Not Do', and 'Quality Standard', creating notable redundancy that could be tightened.	3 / 5
Actionability	It gives concrete, executable guidance: an 8-step Execution Logic, a mandatory A–L output structure with per-section requirements, an explicit DESeq2/limma rule, and enumerated prioritization and validation dimensions — minor gaps only because it stays at framing rather than copy-paste detail.	4 / 5
Workflow Clarity	The 8-step sequence is clearly ordered with go/no-go gates (Section H) and a Step 8 risk audit, but there is no explicit validate→fix→retry feedback loop, leaving a minor validation gap.	4 / 5
Progressive Disclosure	SKILL.md is a clear overview that points to 10 one-level-deep reference files, each signaled with a 'Use to/Use when' description, and all referenced files exist in ./references/, giving easy navigation with no nesting.	5 / 5
	Total	16 / 20 Passed

Description

71%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 and well-scoped to drug repurposing study design with strong capability coverage, but it omits an explicit 'Use when...' trigger clause, which caps completeness and slightly limits trigger-term quality. It is a solid, mostly distinct description with room to add natural trigger phrasing.

Suggestions

Add an explicit 'Use when...' clause naming natural trigger phrases (e.g., 'Use when designing a drug repurposing study, planning an expression-reversal or target-overlap repurposing route, or building a validation ladder for repurposed candidates').

Include a few more colloquial synonyms users might actually say (e.g., 'repositioning', 'old drugs for new diseases') alongside the current technical terminology.

Briefly state when NOT to use it (e.g., single-omics analysis or full clinical trial protocol drafting) to sharpen distinctiveness against sibling skills.

Dimension	Reasoning	Score
Specificity	The description lists multiple concrete actions ('Design evidence-discovery and validation workflows', 'integrating disease mechanisms, drug-target logic, expression reversal, real-world evidence, and validation routes', 'into a closed-loop study blueprint'), giving comprehensive coverage of what the skill does.	5 / 5
Completeness	It clearly answers 'what' the skill does but provides no explicit 'when'/'Use when...' trigger clause, so per the rubric guideline a missing explicit trigger guidance caps completeness at 3.	3 / 5
Trigger Term Quality	Good domain keyword coverage ('drug repurposing studies', 'expression reversal', 'real-world evidence', 'drug-target logic') that researchers would say, but the language is somewhat jargon-heavy and lacks the natural 'Use when...' phrasing with synonyms that would push it to 5.	4 / 5
Distinctiveness Conflict Risk	It carves a clear niche (drug repurposing study design as a 'closed-loop study blueprint') that is mostly distinct, with only minor overlap risk against sibling biomedical research-planning skills (target ID, RWE study design, mechanism mapping).	4 / 5
	Total	16 / 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/Protocol Design/drug-repurposing-study-planner/SKILL.md
Commit: f5ef65b

Reviewed: ~16 hours ago

Table of Contents

Discovery Implementation Validation

Is this your skill?

If you maintain this skill, you can claim it as your own. Once claimed, you can manage eval scenarios, bundle related skills, attach documentation or rules, and ensure cross-agent compatibility.