gget

Fast CLI/Python queries to 20+ bioinformatics databases. Use for quick lookups: gene info, BLAST searches, AlphaFold structures, enrichment analysis. Best for interactive exploration, simple queries. For batch processing or advanced BLAST use biopython; for multi-database Python workflows use bioservices.

Quality

78%

Does it follow best practices?

Run evals on this skill

Adds up to 20 points to the overall score

View guide

Securityby

Critical

Do not install without reviewing

Fix and improve this skill with Tessl

tessl review fix ./skills/bio/gget/SKILL.md

Quality

Content

57%

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

The content is highly actionable with concrete examples throughout, but it is too long and inlines a full API reference that should live in the (missing) reference files, and its workflows omit validation checkpoints for risky operations.

Suggestions

Move the per-module parameter reference into the referenced reference files (references/module_reference.md etc.) and keep SKILL.md as a concise overview with one-level-deep links; ensure those files actually exist.

Add explicit validation/feedback checkpoints to workflows involving setup, downloads, or batch ID processing (e.g., verify AlphaFold setup completed, confirm COSMIC TSV downloaded before querying).

Trim background explanations of concepts Claude already knows (e.g., what BLAST/DIAMOND are) and consolidate repeated flag documentation to reduce token weight.

Dimension	Reasoning	Score
Conciseness	Individual sections are reasonably tight, but the ~860-line body inlines a full per-module parameter reference that belongs in a reference file, and explains background Claude already knows.	2 / 3
Actionability	Every module ships concrete, executable CLI and Python examples that are copy-paste ready, with specific flags and realistic inputs.	3 / 3
Workflow Clarity	Six numbered workflows are sequenced, but batch/destructive operations (AlphaFold setup, COSMIC downloads, ~1000-ID batches) lack embedded validation checkpoints or feedback loops, capping this dimension.	2 / 3
Progressive Disclosure	The body references references/module_reference.md, database_info.md, and workflows.md, but no references/ directory or those files exist; meanwhile the full module reference is inlined as a monolithic wall of text rather than split out.	1 / 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.

The description is specific, trigger-rich, and answers both 'what' and 'when' with explicit guidance and clear scope boundaries. It avoids fluff and distinguishes the skill from adjacent tools via negative guidance.

Dimension	Reasoning	Score
Specificity	Lists multiple specific concrete actions such as 'gene info, BLAST searches, AlphaFold structures, enrichment analysis' alongside 'queries to 20+ bioinformatics databases'.	3 / 3
Completeness	Explicitly answers both what ('queries to 20+ bioinformatics databases') and when ('Use for quick lookups ...', 'Best for interactive exploration, simple queries') with explicit triggers and negative guidance.	3 / 3
Trigger Term Quality	Natural terms a user would say are well covered ('BLAST searches', 'AlphaFold structures', 'enrichment analysis', 'gene info', 'batch processing').	3 / 3
Distinctiveness Conflict Risk	A clearly defined bioinformatics niche with explicit redirects to biopython and bioservices for adjacent cases, making conflicts unlikely.	3 / 3
	Total	12 / 12 Passed

Validation

87%

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 — 14 / 16 Passed

Validation for skill structure

Criteria	Description	Result
skill_md_line_count	SKILL.md is long (872 lines); consider splitting into references/ and linking	Warning
metadata_version	'metadata.version' is missing	Warning

	Total	14 / 16 Passed

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

Reviewed: about 1 hour ago

Table of Contents

Discovery Implementation Validation

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.