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tooluniverse-gwas-trait-to-gene

Discover genes associated with diseases and traits using GWAS data from the GWAS Catalog (500,000+ associations) and Open Targets Genetics (L2G predictions). Identifies genetic risk factors, prioritizes causal genes via locus-to-gene scoring, and assesses druggability. Use when asked to find genes associated with a disease or trait, discover genetic risk factors, translate GWAS signals to gene targets, or answer questions like "What genes are associated with type 2 diabetes?"

64

Quality

75%

Does it follow best practices?

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SecuritybySnyk

Low

Low-risk findings worth noting

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tessl review fix ./skills/bio/tooluniverse-gwas-trait-to-gene/SKILL.md
SKILL.md
Quality
Evals
Security

Quality

Content

50%

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-organized and information-rich, but it leans verbose in concept explanation, uses pseudocode rather than real tool-call examples, and lacks validation checkpoints in its workflow. As a monolithic single file it also underuses progressive disclosure.

Suggestions

Replace the pseudocode `discover_gwas_genes(...)` calls in Best Practices with actual ToolUniverse tool invocations so examples are executable.

Add an explicit validation/retry step to the workflow (e.g. verify association counts and p-value filtering before ranking) to earn workflow_clarity at the top level.

Trim the Key Concepts and Data Sources sections of background Claude already knows, and move the full tool reference plus output schema into a separate references file linked from the body.

DimensionReasoningScore

Conciseness

Mostly efficient with useful reference material (tool lists, output schema, examples), but the Key Concepts section explains basics Claude already knows (e.g. "Accounts for multiple testing burden across ~1M common variants") and the Data Sources/Citation sections pad the token budget.

2 / 3

Actionability

Provides concrete tool names, parameters, and an output schema, but the "Best Practices" code blocks call a pseudocode `discover_gwas_genes(...)` function rather than real ToolUniverse tool invocations, so examples are not copy-paste executable.

2 / 3

Workflow Clarity

A clear five-step sequence with arrows is present, but it lacks explicit validation checkpoints or a fix-and-retry feedback loop; for a batch data-aggregation operation this caps the score at 2 per the rubric.

2 / 3

Progressive Disclosure

No bundle files exist and the body is a monolithic ~230-line single file; sections are well-organized but content that could be split out (full tool reference, output schema, citation) is inline with no one-level-deep references.

2 / 3

Total

8

/

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 states capabilities, names specific data sources, and provides explicit "Use when" triggers with natural example phrasing. It satisfies all four dimensions at the top level with no over-claims or fluff.

DimensionReasoningScore

Specificity

Lists multiple concrete actions — "Discover genes", "Identifies genetic risk factors", "prioritizes causal genes via locus-to-gene scoring", "assesses druggability" — matching the anchor for listing multiple specific concrete actions.

3 / 3

Completeness

Clearly answers both what it does and when to use it via an explicit "Use when asked to..." clause with multiple trigger conditions, matching the top anchor.

3 / 3

Trigger Term Quality

Includes natural phrasings users would say — "find genes associated with a disease or trait", "discover genetic risk factors", "translate GWAS signals to gene targets", and an example question "What genes are associated with type 2 diabetes?" — giving good coverage of natural terms.

3 / 3

Distinctiveness Conflict Risk

Occupies a clear niche (GWAS trait-to-gene discovery from named resources) with distinct, domain-specific triggers unlikely to fire for unrelated skills.

3 / 3

Total

12

/

12

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
wu-yc/LabClaw
Reviewed

Table of Contents

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