gwas-database

Query NHGRI-EBI GWAS Catalog for SNP-trait associations. Search variants by rs ID, disease/trait, gene, retrieve p-values and summary statistics, for genetic epidemiology and polygenic risk scores.

Quality

73%

Does it follow best practices?

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Securityby

Passed

No findings from the security scan

Fix and improve this skill with Tessl

tessl review fix ./skills/bio/gwas-database/SKILL.md

Quality

Content

65%

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

A thorough, highly actionable reference with strong executable code, but it is verbose in places, lacks explicit error-recovery checkpoints in batch/pagination workflows, and points to a reference file that is absent from the bundle.

Suggestions

Move the detailed endpoint specifications and response-field tables into the referenced references/api_reference.md file (and create that file) so the SKILL.md body stays a lean overview.

Add explicit validate→fix→retry feedback loops to the pagination and bulk-extraction workflows (e.g. handle non-200 responses, retry with backoff, confirm page completeness).

Trim the Overview and conceptual explanations (e.g. what the GWAS Catalog is, who maintains it) that Claude already knows to improve token efficiency.

Dimension	Reasoning	Score
Conciseness	Contains mostly efficient executable code but is padded with conceptual explanation (e.g. the Overview describing what the GWAS Catalog is and who maintains it) that Claude already knows; not a level-1 wall of fluff but could be tightened.	2 / 3
Actionability	Provides numerous concrete, executable Python examples with real endpoints, parameters, pagination handling, and pandas integration that are copy-paste ready, matching the level-3 anchor.	3 / 3
Workflow Clarity	Five well-sequenced numbered workflows are present, but paginated/batch operations lack explicit validate→fix→retry feedback loops beyond a single status-code check, capping workflow clarity at 2 per the batch-operations guidance.	2 / 3
Progressive Disclosure	The body is a long inline monolith and references 'references/api_reference.md' which does not exist in the bundle; structure exists but content that should be split is inline and a referenced file is missing.	2 / 3
	Total	9 / 12 Passed

Description

82%

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 specific, well-scoped description with strong concrete actions and natural trigger terms. Its main weakness is the absence of an explicit 'Use when...' trigger clause, leaving the activation context implicit.

Suggestions

Add an explicit trigger clause, e.g. 'Use when querying the GWAS Catalog for SNP-trait associations, looking up variants by rs ID, or retrieving p-values and summary statistics.'

Clarify activation context by stating when Claude should reach for this skill versus a general bioinformatics or literature-search skill.

Dimension	Reasoning	Score
Specificity	Lists multiple concrete actions ('Query...for SNP-trait associations', 'Search variants by rs ID, disease/trait, gene', 'retrieve p-values and summary statistics') matching the level-3 anchor of multiple specific concrete actions.	3 / 3
Completeness	Clearly answers 'what' but only implies 'when' through the domain application ('for genetic epidemiology and polygenic risk scores') with no explicit 'Use when...' trigger clause, which caps completeness at 2 per the guidelines.	2 / 3
Trigger Term Quality	Includes natural terms users would say — 'SNP', 'rs ID', 'disease/trait', 'gene', 'p-values', 'summary statistics', 'GWAS' — giving good coverage of common variations.	3 / 3
Distinctiveness Conflict Risk	Targets a clearly distinct niche (NHGRI-EBI GWAS Catalog queries) with specific identifiers unlikely to trigger for unrelated skills.	3 / 3
	Total	11 / 12 Passed

Validation

81%

Warnings & errors only

Checks the skill against the spec for correct structure and formatting. All validation checks must pass before discovery and implementation can be scored.

Validation — 13 / 16 Passed

Validation for skill structure

Criteria	Description	Result
skill_md_line_count	SKILL.md is long (608 lines); consider splitting into references/ and linking	Warning
metadata_version	'metadata.version' is missing	Warning
referenced_paths_exist	Referenced path issues: 1 missing	Warning

	Total	13 / 16 Passed

Repository: wu-yc/LabClaw
Path: skills/bio/gwas-database/SKILL.md
Commit: df37802

Reviewed: about 1 hour ago

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