gget

Unified CLI/Python interface for querying genomic, proteomic, structure, and expression data across 20+ bioinformatics databases; use when you need fast, scriptable retrieval by gene/protein IDs or keywords.

Quality

74%

Does it follow best practices?

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Securityby

Passed

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tessl review fix ./scientific-skills/Evidence Insight/gget/SKILL.md

Quality

Content

68%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 content is actionable and well-organized with real executable examples and an appropriate one-level reference file, but it lacks validation/feedback steps for batch ID operations and carries some redundant inline detail that overlaps the external reference.

Suggestions

Add a validation/retry step for batch operations, e.g. show checking that each ID resolved before proceeding and re-running failed IDs, to raise workflow clarity.

Trim the 'Implementation Details' module list since it duplicates 'Key Features' and the module_reference.md; keep the inline body to a quick start and link out for the rest.

Add one executable example each for the structure/expression/enrichment subcommands so all advertised capabilities have copy-paste-ready commands.

Dimension	Reasoning	Score
Conciseness	The body is well-sectioned and mostly efficient with executable examples, but the 'Implementation Details' section partially restates 'Key Features' (same module list), which is minor padding that could be trimmed.	4 / 5
Actionability	Provides concrete, executable wrapper.py commands for the common cases (search/info/seq/alphafold) with a verified real script path, but structure/expression/enrichment subcommands are described rather than shown, leaving minor gaps.	4 / 5
Workflow Clarity	Examples are presented as numbered, sequential commands but lack validation checkpoints or error-recovery loops; since 'info'/'seq' accept multiple IDs (a batch operation), the missing validation cap applies and it cannot exceed 3.	3 / 5
Progressive Disclosure	Clear overview structure with a well-signaled one-level-deep reference (references/module_reference.md, a real file) and a separate scripts/ directory; minor gap is that some module detail is duplicated inline rather than fully delegated to the reference.	4 / 5
	Total	15 / 20 Passed

Description

80%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, clearly stating both capability and an explicit 'use when' trigger with a distinct bioinformatics niche. Its main weakness is trigger-term breadth — it covers core keywords but omits common synonyms and file/ID extensions users would naturally mention.

Suggestions

Add natural synonyms and concrete ID formats to the trigger clause, e.g. 'use when fetching data by Ensembl IDs (ENSG/ENST), UniProt accessions, NCBI Gene IDs, or gene symbols'.

Make per-area verbs more distinct (e.g., 'search genes, resolve identifiers, fetch sequences, predict structures, query expression') to push specificity toward comprehensive coverage.

Dimension	Reasoning	Score
Specificity	Lists several concrete capability domains ('querying genomic, proteomic, structure, and expression data across 20+ bioinformatics databases') with retrieval actions, but verbs are generic across areas rather than distinct per-domain actions, leaving minor coverage gaps versus the comprehensive anchor.	4 / 5
Completeness	Explicitly answers both 'what' (unified interface for querying four data classes across 20+ databases) and 'when' ('use when you need fast, scriptable retrieval by gene/protein IDs or keywords') with concrete trigger phrases.	5 / 5
Trigger Term Quality	Includes relevant natural keywords ('gene/protein IDs or keywords', 'scriptable retrieval') but misses common synonyms, database nicknames, and file extensions that users would actually say, so it sits at the 'some relevant keywords' anchor.	3 / 5
Distinctiveness Conflict Risk	Occupies a clear niche (bioinformatics database retrieval via gget) with distinct gene/protein/structure/expression triggers and minimal overlap risk with unrelated skills.	5 / 5
	Total	17 / 20 Passed

Validation

93%

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 — 15 / 16 Passed

Validation for skill structure

Criteria	Description	Result
frontmatter_unknown_keys	Unknown frontmatter key(s) found; consider removing or moving to metadata	Warning

	Total	15 / 16 Passed

Repository: aipoch/medical-research-skills
Path: scientific-skills/Evidence Insight/gget/SKILL.md
Commit: 63c61d3

Reviewed: 9 hours ago

Table of Contents

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