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biopython

Primary retained Python toolkit for molecular biology sequence work. Preferred for sequence manipulation, FASTA/FASTQ/GenBank parsing, Bio.Entrez, BLAST workflows, alignments, structures, and phylogenetics. For biological database evidence lookup, use bio-database-evidence. For single-cell workflows use scanpy. For direct literature REST API, use pubmed-database.

68

Quality

82%

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SecuritybySnyk

High

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SKILL.md
Quality
Evals
Security

Quality

Content

72%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 well-organized progressive disclosure into seven real reference files, but it carries redundant overview/example sections and lacks explicit validation checkpoints for its batch and destructive operations. Tightening the repeated sections and adding validation steps for batch workflows would lift the weaker dimensions.

Suggestions

Collapse the redundant 'Quick Reference', 'Common Patterns', and 'Summary' sections or fold them into the per-module references to reduce token overhead and remove duplicated guidance.

Add explicit validation checkpoints and retry feedback loops for batch/destructive operations (e.g., verify NCBI efetch results before closing handles, confirm converted files are parseable after SeqIO.convert).

Move the version/date statement ('Biopython 1.85, released January 2025') into a dedicated versioning or 'current version' note so time-sensitive content is isolated from evergreen guidance.

DimensionReasoningScore

Conciseness

The body is mostly efficient with executable examples per module, but includes redundancy across 'Quick example', 'Common Patterns', 'Quick Reference', and 'Summary' sections, and embeds a time-sensitive version ('Biopython 1.85 (released January 2025)') outside any deprecated/old-patterns section.

3 / 5

Actionability

Provides copy-paste-ready executable code for every major module plus end-to-end Common Patterns (GenBank fetch, sequence analysis pipeline, BLAST + top-hits fetch, phylogenetic tree construction) and a concrete troubleshooting table.

5 / 5

Workflow Clarity

A sequenced process is given (identify module → read reference → extract patterns → combine), but batch/destructive operations such as Entrez batch download and file-format conversion lack explicit validation checkpoints and feedback loops, which caps workflow clarity per the batch-operation rule.

3 / 5

Progressive Disclosure

Clean one-level-deep structure: an overview body with explicit 'Reference: references/<file>.md' pointers to seven real, topically-organized reference files, all verified present, with easy navigation and no nested references.

5 / 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 specific, comprehensive, and well-routed, clearly distinguishing this skill from neighboring retained bio-science skills with concrete 'use X instead' guidance. Its only mild gap is slightly less colloquial trigger phrasing, though domain terms are strong.

DimensionReasoningScore

Specificity

Lists multiple concrete actions — 'sequence manipulation', 'FASTA/FASTQ/GenBank parsing', 'Bio.Entrez', 'BLAST workflows', 'alignments, structures, and phylogenetics' — with comprehensive coverage of the toolkit's capabilities.

5 / 5

Completeness

Explicitly answers 'what' (primary retained Python toolkit for molecular biology sequence work with enumerated capabilities) and 'when' via explicit routing clauses ('For biological database evidence lookup, use...', 'For single-cell workflows use scanpy', 'For direct literature REST API, use pubmed-database').

5 / 5

Trigger Term Quality

Strong domain keywords and file-format triggers (FASTA/FASTQ/GenBank, BLAST, alignments, phylogenetics), but a few natural user phrasings and synonyms are absent relative to a fully comprehensive anchor.

4 / 5

Distinctiveness Conflict Risk

Clear niche (Biopython) with explicit disambiguation routing to sibling retained skills, minimizing conflict risk for adjacent bio-science surfaces.

5 / 5

Total

19

/

20

Passed

Validation

100%

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

Validation16 / 16 Passed

Validation for skill structure

No warnings or errors.

Repository
foryourhealth111-pixel/Vibe-Skills
Reviewed

Table of Contents

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