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tooluniverse-rare-disease-genomics

Rare disease genomics — disease identification (Orphanet), causative gene discovery, gene-disease validity (GenCC), variant interpretation (ClinVar), and translational research (ClinicalTrials.gov, drug repurposing for orphans). Use for rare-disease-gene curation, novel-gene-discovery analysis, and rare-disease drug-development support.

68

Quality

84%

Does it follow best practices?

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SecuritybySnyk

Low

Low-risk findings worth noting

The canonical home for this skill is tooluniverse-rare-disease-genomics in mims-harvard/ToolUniverse

SKILL.md
Quality
Evals
Security

Quality

Content

76%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 highly actionable with exact tool/parameter signatures and complete example workflows, and is well-structured by phase. The main weakness is workflow clarity: validation is a post-hoc checklist rather than explicit validate-then-proceed checkpoints embedded in the phased flow.

Suggestions

Embed explicit validation checkpoints inside the phased workflow (e.g., after Phase 0, assert the ORPHA code is the exact disease not a subtype/umbrella before proceeding), turning the end-of-document checklist into gated steps.

Add a short validate-then-fix feedback loop for the variant-prioritization reasoning steps (e.g., if phenotype-genotype correlation fails, loop back to re-check inheritance mode and allele frequency).

Consider extracting the per-tool API/parameter catalog into a one-level-deep reference file (e.g., references/tools.md) so SKILL.md reads as an overview pointing to the detailed tool signatures.

DimensionReasoningScore

Conciseness

Dense and information-rich with exact tool/parameter signatures and no padding of concepts Claude already knows, though a few heuristic-prose sections ("Resist the urge to skip to ClinVar," submitter-consensus explanations) could be tightened slightly.

4 / 5

Actionability

Nearly every tool lists its required parameters, aliases, defaults, and types, plus two complete copy-pasteable example workflow call sequences and an explicit parameter-mistake correction list — fully executable guidance for the common cases.

5 / 5

Workflow Clarity

A clear nine-phase sequence with an ordering rationale and an end completeness checklist exists, but validation is implicit (a post-hoc checklist) rather than explicit validate-then-proceed checkpoints gated within the phases.

3 / 5

Progressive Disclosure

Well-organized into clearly signaled sections (phases, evidence grading, fallbacks, examples, checklist) in a single ~280-line file with no bundle references; minor gap is that the per-tool API catalog and example workflows are inlined rather than split into a one-level-deep reference file.

4 / 5

Total

16

/

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 concrete, well-scoped, and answers both what the skill does and when to use it, with named data sources and an explicit trigger clause. Minor gains are available by adding a few more natural user phrasings (e.g., "genetic cause of," HPO terms) to the trigger set.

DimensionReasoningScore

Specificity

Lists multiple concrete actions (disease identification, causative gene discovery, gene-disease validity, variant interpretation, translational research) each tied to named data sources (Orphanet, GenCC, ClinVar, ClinicalTrials.gov), giving comprehensive coverage of the domain's capabilities.

5 / 5

Completeness

Clearly states both "what" (the five action areas and their source databases) and an explicit "when" clause ("Use for rare-disease-gene curation, novel-gene-discovery analysis, and rare-disease drug-development support").

5 / 5

Trigger Term Quality

Strong natural keyword coverage ("rare disease," "drug repurposing for orphans," "rare-disease-gene curation," "novel-gene-discovery analysis"), but a few common user phrasings present in the body (e.g., "genetic cause of," "HPO phenotypes for") are absent from the description.

4 / 5

Distinctiveness Conflict Risk

A clear rare-disease-genomics niche anchored to distinct databases, with explicit boundary guidance against sibling skills (common disease, cancer, GWAS, pharmacogenomics) keeping conflict risk minimal.

5 / 5

Total

19

/

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.

Validation15 / 16 Passed

Validation for skill structure

CriteriaDescriptionResult

frontmatter_unknown_keys

Unknown frontmatter key(s) found; consider removing or moving to metadata

Warning

Total

15

/

16

Passed

Repository
mims-harvard/ToolUniverse
Reviewed

Table of Contents

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