CtrlK
BlogDocsLog inGet started
Tessl Logo

tooluniverse-variant-to-mechanism

End-to-end variant-to-mechanism analysis — trace a variant (rsID/coordinates) through regulatory context, target gene(s), molecular pathway(s), and phenotypic consequences. Integrates 7+ databases across 3 evidence layers (regulatory, molecular, disease) for a mechanistic model. Use for GWAS-hit-to-mechanism, eQTL-causal-gene tracing, and full causal-chain reports.

72

Quality

87%

Does it follow best practices?

Run evals on this skill

Adds up to 20 points to the overall score

View guide

SecuritybySnyk

Low

Low-risk findings worth noting

SKILL.md
Quality
Evals
Security

Quality

Content

82%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 high-quality, executable, well-sequenced analytical workflow with strong domain reasoning and concrete pitfalls baked into code. Tightening the longer prose sections and offloading the API reference to a bundled file would push it to the top tier.

Suggestions

Trim the multi-paragraph reasoning sections (Phase 3 'How to Reason' and Phase 6 synthesis) to bullet lists where possible to reduce token load.

Move the 'Programmatic Access (Beyond Tools)' REST code reference into a bundled references/ file and link to it from the body to improve progressive disclosure.

Add an explicit verification checkpoint (e.g., a final 'Validate the causal chain' checklist with the evidence tiers) before the synthesis output to strengthen workflow clarity.

DimensionReasoningScore

Conciseness

Dense, competency-assuming content with tight code blocks and no concept padding, but several explanatory prose sections (target-gene reasoning, mechanistic synthesis, scenarios) could be trimmed slightly without losing value.

4 / 5

Actionability

Fully executable code blocks with exact parameter names, documented return formats, concrete worked examples (rs7903146/TCF7L2/pancreas), and explicit parameter-pitfall callouts covering the common cases.

5 / 5

Workflow Clarity

Six phases are clearly sequenced with fallbacks and evidence-graded confidence tiers, but explicit validate-then-act checkpoints are softer since this is analytical synthesis rather than a destructive/batch operation.

4 / 5

Progressive Disclosure

No bundle files exist; the body is well-structured with clear section headers and a single one-level reference to a sibling skill, though the inline API-reference and programmatic-access content could be split into a separate file.

4 / 5

Total

17

/

20

Passed

Description

92%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 strong, third-person, and concisely conveys both the full causal-chain capability and explicit use-when triggers with concrete domain terms. Minor room to broaden trigger phrasing toward lay user questions.

DimensionReasoningScore

Specificity

Lists multiple concrete actions (trace a variant through regulatory context, target gene(s), molecular pathway(s), and phenotypic consequences) plus coverage of 7+ databases across 3 evidence layers, matching the comprehensive-coverage anchor.

5 / 5

Completeness

Explicitly answers both what (trace variant through regulatory→gene→pathway→phenotype into a mechanistic model) and when ("Use for GWAS-hit-to-mechanism, eQTL-causal-gene tracing, and full causal-chain reports") with concrete trigger phrases.

5 / 5

Trigger Term Quality

Includes natural domain triggers (GWAS-hit-to-mechanism, eQTL-causal-gene tracing, full causal-chain reports, rsID/coordinates), but keyword coverage relies on specialized jargon with a few common user phrasings absent from the description itself.

4 / 5

Distinctiveness Conflict Risk

Occupies a clear variant-to-mechanism niche with distinct, specific triggers across regulatory/molecular/disease layers, giving minimal conflict risk with sibling genomics skills.

5 / 5

Total

19

/

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

Table of Contents

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.