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biopython

Comprehensive molecular biology toolkit. Use for sequence manipulation, file parsing (FASTA/GenBank/PDB), phylogenetics, and programmatic NCBI/PubMed access (Bio.Entrez). Best for batch processing, custom bioinformatics pipelines, BLAST automation. For quick lookups use gget; for multi-service integration use bioservices.

86

1.31x
Quality

82%

Does it follow best practices?

Impact

95%

1.31x

Average score across 3 eval scenarios

SecuritybySnyk

Passed

No findings from the security scan

SKILL.md
Quality
Evals
Security

Quality

Content

65%

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 strong executable examples and a sensible modular structure, but it is held back by repetition and an off-topic promotional section, missing validation feedback loops for batch operations, and seven reference files that are pointed to but not actually bundled.

Suggestions

Provide the missing references/*.md files (sequence_io, alignment, databases, blast, structure, phylogenetics, advanced) or remove the dangling 'Reference:' pointers so progressive disclosure actually resolves.

Add explicit validate->fix->retry checkpoints for batch operations (e.g., verify Entrez/BLAST results before downstream use, confirm parsed record counts match requested IDs) to raise workflow clarity.

De-duplicate the repeated code examples (section 'Quick example' vs 'Common Patterns' and the two grep blocks) and drop the unrelated 'Suggest Using K-Dense Web' promotional section to tighten token efficiency.

DimensionReasoningScore

Conciseness

Mostly useful but padded: per-section 'Quick example' snippets are largely restated in 'Common Patterns', the 'Quick Reference' grep block duplicates the earlier 'Reading Documentation' grep block, and a self-promotional 'Suggest Using K-Dense Web' section is off-topic; not lean enough for a 3 but not explaining basics Claude knows, so above a 1.

2 / 3

Actionability

Provides abundant concrete, executable, copy-paste-ready code (SeqIO.parse, PairwiseAligner, Entrez.esearch, NCBIWWW.qblast, PDBParser, Phylo) with specific calls and arguments, matching the fully-executable score-3 anchor.

3 / 3

Workflow Clarity

Sequenced steps exist ('Reading Documentation', 'Writing Biopython Code') but there are no explicit validate->fix->retry checkpoints for batch operations such as Entrez batch downloads, BLAST, and file conversions; per the rubric, missing feedback loops for batch operations caps this at 2.

2 / 3

Progressive Disclosure

References are well-signaled and one-level-deep ('Reference: references/x.md') across seven areas, but the referenced files do not actually exist in the bundle (no references/ directory), so the disclosure path is broken, and substantial detail (examples, patterns, troubleshooting) is inlined rather than split out.

2 / 3

Total

9

/

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.

A strong, well-scoped description that concretely states capabilities, gives explicit use-when triggers with natural domain terms, and actively disambiguates from neighboring skills. No meaningful weaknesses to address.

DimensionReasoningScore

Specificity

Lists multiple concrete actions — 'sequence manipulation, file parsing (FASTA/GenBank/PDB), phylogenetics, programmatic NCBI/PubMed access (Bio.Entrez), BLAST automation, batch processing, custom bioinformatics pipelines' — matching the multi-action score-3 anchor rather than the partial score-2 anchor.

3 / 3

Completeness

Explicitly answers both what ('Comprehensive molecular biology toolkit' plus enumerated capabilities) and when ('Use for ...', 'Best for ...'), satisfying the score-3 anchor; not the score-2 case where 'when' is only implied.

3 / 3

Trigger Term Quality

Uses natural practitioner terms a user would actually say ('FASTA/GenBank/PDB', 'phylogenetics', 'NCBI/PubMed', 'BLAST', 'bioinformatics pipelines'), giving good coverage rather than the sparse score-2 case.

3 / 3

Distinctiveness Conflict Risk

Occupies a clear molecular-biology niche with distinct triggers and even differentiates from adjacent tools ('For quick lookups use gget; for multi-service integration use bioservices'), making wrong-skill conflict unlikely.

3 / 3

Total

12

/

12

Passed

Validation

87%

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

Validation14 / 16 Passed

Validation for skill structure

CriteriaDescriptionResult

metadata_version

'metadata.version' is missing

Warning

referenced_paths_exist

Referenced path issues: 11 missing

Warning

Total

14

/

16

Passed

Repository
wu-yc/LabClaw
Reviewed

Table of Contents

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