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gget

gget CLI and Python workflow for quick genomic database queries, sequence lookup, BLAST-style searches, enrichment checks, and reproducible bioinformatics evidence logs. Use when a task needs quick bioinformatics lookup across genomic reference databases with the gget CLI or Python package.

71

Quality

87%

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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.

A well-organized, executable single-file skill with concrete commands and a clear workflow. Conciseness and workflow clarity are strong but not maximal, and with no bundle files progressive disclosure is rated on clean single-file structure rather than file splitting.

DimensionReasoningScore

Conciseness

The body is lean and assumes competence (no explanations of BLAST/Ensembl basics), but the Installation section plus the uv variant and the 'Before relying on an older environment' note add a few lines that could be trimmed.

4 / 5

Actionability

Copy-paste-ready CLI commands (gget search/info/seq/blast with flags and output files) and runnable Python snippets cover the common cases, matching the fully-executable anchor.

5 / 5

Workflow Clarity

A clear five-step Common workflow plus a Reproducibility Log template and Review Checklist give an explicit sequence with most checkpoints present; validation is softer (check docs, run small query first) than the validate-fix-retry loop the 5 anchor describes.

4 / 5

Progressive Disclosure

No bundle files exist and none are referenced; the body is a single well-organized file with clear section headers and external reference URLs, which is good structure but does not demonstrate the split-file, one-level-deep reference pattern the 5 anchor describes.

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.

A specific, well-triggered description that names the tool and multiple concrete actions and gives an explicit 'Use when' clause. The only soft spot is trigger-term breadth, which leans on domain vocabulary over lay synonyms.

DimensionReasoningScore

Specificity

Lists five concrete actions (genomic database queries, sequence lookup, BLAST-style searches, enrichment checks, reproducible evidence logs), matching the comprehensive-coverage anchor rather than the 'several actions with minor gaps' anchor at 4.

5 / 5

Completeness

Explicitly answers both 'what' (the concrete action list) and 'when' via a 'Use when a task needs quick bioinformatics lookup across genomic reference databases with the gget CLI or Python package' clause with concrete trigger phrases.

5 / 5

Trigger Term Quality

Strong natural keywords a bioinformatics user would say (bioinformatics lookup, genomic reference databases, BLAST-style searches, sequence lookup, enrichment checks) plus the tool name gget, but lacks file extensions and broader synonyms that would mark full comprehensiveness.

4 / 5

Distinctiveness Conflict Risk

A clear niche pinned by the gget tool name and genomic-database triggers, with minimal overlap risk against unrelated skills.

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

metadata_version

'metadata.version' is missing

Warning

Total

15

/

16

Passed

Repository
affaan-m/ECC
Reviewed

Table of Contents

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