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tooluniverse-target-research

Comprehensive drug-target intelligence — tissue expression (GTEx, HPA), pathways, protein interactions (STRING), variant landscape (ClinVar, gnomAD), druggability (DGIdb, ChEMBL approved drugs). 9 parallel research paths with citations. Use for full target profile reports, target characterization for drug discovery, and 'tell me about target X' queries.

67

Quality

81%

Does it follow best practices?

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SecuritybySnyk

Low

Low-risk findings worth noting

SKILL.md
Quality
Evals
Security

Quality

Content

62%

Reviews the quality of instructions and guidance provided to agents. Good implementation is clear, handles edge cases, and produces reliable results.

The body is well-structured with a clear sequenced workflow, validation checkpoints, and concrete tool/parameter guidance, but it is held back by prose-heavy reasoning sections and by deferring executable code to bundle files (IMPLEMENTATION.md et al.) that do not exist in the bundle.

Suggestions

Tighten the 'Target Evaluation Reasoning Framework' into bulletted thresholds (e.g. pLI > 0.9, LOEUF < 0.35, OpenTargets > 0.7) instead of four prose paragraphs to reduce token cost.

Either include the referenced bundle files (IMPLEMENTATION.md, EVIDENCE_GRADING.md, REPORT_FORMAT.md, REFERENCE.md, EXAMPLES.md) in the skill bundle or inline the minimal executable code per path so the skill is self-contained.

Add at least one small inline copy-paste example for a representative PATH so the body is actionable without the missing IMPLEMENTATION.md.

DimensionReasoningScore

Conciseness

The body is mostly efficient — tool lists, path headers, and parameter corrections earn their place — but the multi-paragraph 'Target Evaluation Reasoning Framework' is prose-heavy and could be tightened without losing its actionable thresholds.

2 / 3

Actionability

Concrete guidance is present (named tools, parameter corrections like 'param is id not uniprot_id', explicit retry/fallback chains, one executable snippet), but the fully executable per-path code is deferred to IMPLEMENTATION.md rather than provided inline, so guidance is incomplete within the body.

2 / 3

Workflow Clarity

The 9 research paths are explicitly sequenced (identifier resolution first, PATH 0 'ALWAYS FIRST'), with a 'Completeness Audit (REQUIRED before finalizing)' checkpoint, report-first placeholders, and retry/fallback loops providing clear validation feedback.

3 / 3

Progressive Disclosure

The Reference Files table cleanly signals one-level-deep references (IMPLEMENTATION.md, EVIDENCE_GRADING.md, REPORT_FORMAT.md, REFERENCE.md, EXAMPLES.md), but none of these bundle files are actually present in the skill directory, so the deferred detail is not available — structure is good in intent but the disclosure is incomplete.

2 / 3

Total

9

/

12

Passed

Description

100%

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, third-person description that concretely names capability areas and data sources while providing an explicit 'Use for' trigger clause with natural user phrasings. It cleanly answers both what the skill does and when to invoke it.

DimensionReasoningScore

Specificity

Lists multiple concrete capability areas — 'tissue expression (GTEx, HPA)', 'protein interactions (STRING)', 'variant landscape (ClinVar, gnomAD)', 'druggability (DGIdb, ChEMBL approved drugs)' — matching the 'lists multiple specific concrete actions' anchor.

3 / 3

Completeness

Clearly states what ('Comprehensive drug-target intelligence ... 9 parallel research paths with citations') and when ('Use for full target profile reports, target characterization for drug discovery, and tell me about target X queries') via an explicit 'Use for' trigger clause.

3 / 3

Trigger Term Quality

Includes natural user phrasings such as 'full target profile reports', 'target characterization for drug discovery', and the direct query pattern "'tell me about target X' queries", giving good coverage of terms users would actually say.

3 / 3

Distinctiveness Conflict Risk

The drug-target intelligence niche is sharply defined with domain-specific triggers, making it unlikely to fire for unrelated skills.

3 / 3

Total

12

/

12

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

relative_links

Relative link issues: 8 missing

Warning

Total

15

/

16

Passed

Repository
mims-harvard/ToolUniverse
Reviewed

Table of Contents

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