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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.

Quality

90%

Does it follow best practices?

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SecuritybySnyk

Low

Low-risk findings worth noting

SKILL.md
Quality
Evals
Security

Quality

Content

88%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 orchestration skill: concrete tool guidance with verified parameter corrections, a clearly sequenced multi-path workflow with mandatory validation checkpoints (report-first scaffold, completeness audit, documented fallbacks), and proper deferral of detail to reference files. The main issues are minor redundancy in the overview sections and the fact that all five referenced bundle files are missing from this packaging, which would break progressive disclosure in use.

Suggestions

Ship the five referenced files (IMPLEMENTATION.md, EVIDENCE_GRADING.md, REPORT_FORMAT.md, REFERENCE.md, EXAMPLES.md) alongside SKILL.md — none are present in this bundle, so every 'See [X].md' link currently dead-ends.

Trim the 'LOOK UP, DON'T GUESS' section and de-duplicate the OpenTargets tool listings between PATH 0 and PATH 7 to tighten the overview.

Fold the KEY PRINCIPLES list into the sections it summarizes (report-first, evidence grading, disambiguation) to remove the forward-referencing redundancy.

DimensionReasoningScore

Conciseness

The body is dense with operational specifics — tool names, parameter corrections, fallback chains, evidence thresholds — and mostly avoids explaining things Claude already knows. Minor trimmable redundancy exists: the 'LOOK UP, DON'T GUESS' section restates general agent behavior, OpenTargets endpoints are listed in PATH 0 and partially repeated in PATH 7, and the KEY PRINCIPLES list overlaps later sections. Efficient with minor over-explanation fits the 4 anchor; it is not the lean 'every token earns its place' of a 5.

4 / 5

Actionability

Guidance is executable, not abstract: a copy-paste `tu.tools.get_tool_info(...)` snippet, a ready-to-run GraphQL query example, six concrete retry chains (e.g., 'ChEMBL_get_target_activities fails → GtoPdb_search_ligands → OpenTargets drugs'), exact parameter corrections ('param is uniprot_id, not id'), and per-path tool lists with report-section mapping. Specific examples cover the common cases, matching the 5 anchor.

5 / 5

Workflow Clarity

The sequence is explicit and gated: identifier resolution always first, PATH 0 explicitly 'ALWAYS FIRST', then paths 1–8 with populates-mappings, a mandatory report-first scaffold, retry/fallback logic as feedback loops, and a REQUIRED 'Completeness Audit (REQUIRED before finalizing)' checklist including negative-results documentation. This matches the 5 anchor's explicit validation steps, feedback loops, and checklists.

5 / 5

Progressive Disclosure

The body is a genuine overview that pushes implementation detail to clearly signaled one-level-deep references (IMPLEMENTATION.md, EVIDENCE_GRADING.md, REPORT_FORMAT.md, REFERENCE.md, EXAMPLES.md) with a well-organized reference table at the end. However, none of the five referenced files exist in this bundle (no references/ directory or sibling files), so navigation breaks at read time — a real organization gap that keeps this at the 4 anchor rather than the 5 anchor's 'easy navigation'.

4 / 5

Total

18

/

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 description: concrete, database-anchored capability enumeration paired with an explicit 'Use for...' clause including a natural quoted user query. The only gaps are a few natural trigger nouns ('gene', 'protein') and slight breadth in the 'tell me about target X' trigger that could overlap adjacent lookup skills. Third-person voice is correct throughout.

Suggestions

Add natural nouns users would say — e.g., 'gene', 'protein', or 'drug target' — to the trigger clause so queries like 'what do we know about gene X' match more readily.

Narrow the generic 'tell me about target X' trigger slightly (e.g., 'tell me about target X' for drug-discovery purposes) to reduce overlap with simple protein-lookup skills.

DimensionReasoningScore

Specificity

The description enumerates multiple concrete capabilities with their source databases: "tissue expression (GTEx, HPA), pathways, protein interactions (STRING), variant landscape (ClinVar, gnomAD), druggability (DGIdb, ChEMBL approved drugs)" plus "9 parallel research paths with citations" — comprehensive, domain-specific coverage with no filler. This matches the anchor for multiple specific concrete actions with comprehensive coverage, not the score-4 anchor (which expects minor coverage gaps).

5 / 5

Completeness

Both questions are answered explicitly: the what is the enumerated capability list (expression, pathways, interactions, variants, druggability) and the when is a concrete "Use for full target profile reports, target characterization for drug discovery, and 'tell me about target X' queries" clause with concrete trigger phrases. This matches the 5 anchor exactly; the 4 anchor would require a weaker or less explicit 'when'.

5 / 5

Trigger Term Quality

Natural phrasing is present — "full target profile reports", "target characterization for drug discovery", and the directly user-quotable "'tell me about target X' queries" — but core nouns a user would naturally say, like "gene", "protein", or "drug target validation", are absent from the description. Good coverage with a few natural terms missing fits the 4 anchor; it does not reach the 5 anchor's comprehensive synonym coverage.

4 / 5

Distinctiveness Conflict Risk

The niche is clear — drug-target intelligence with named databases (GTEx, STRING, ClinVar, gnomAD, DGIdb, ChEMBL) — and unlikely to trigger for unrelated skills. However, the broad trigger phrase "tell me about target X" and the general 'target characterization' wording create minor overlap risk with simpler gene/protein-lookup or drug-lookup skills. Mostly distinct with minor overlap risk fits the 4 anchor; minimal conflict risk at 5 is not fully met.

4 / 5

Total

18

/

20

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.

Validation — 15 / 16 Passed

Validation for skill structure

CriteriaDescriptionResult

relative_links

Relative link issues: 8 missing

Warning

Total

15

/

16

Passed

Repository

mims-harvard/ToolUniverse

Path

plugin/skills/tooluniverse-target-research/SKILL.md

Reviewed

Table of Contents

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