polars-bio

Fast genomic interval operations (overlap, nearest, merge, coverage, cluster, complement, subtract, count-overlaps), multi-format bioinformatics I/O, DataFusion SQL, and pileup on Polars DataFrames via polars-bio. A scalable bioframe/bedtools alternative.

Quality

91%

Does it follow best practices?

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Securityby

Low

Low-risk findings worth noting

Quality

Content

100%

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

A well-structured, token-efficient skill body with executable commands, a validated workflow, and clean one-level-deep references. It is a strong example of progressive disclosure and actionable guidance.

Dimension	Reasoning	Score
Conciseness	The body is lean, assumes Claude's competence (no tutorializing of Polars/DataFusion basics), and every section earns its place; performance claims are brief and attributed.	3 / 3
Actionability	Provides fully executable, copy-paste-ready CLI commands with concrete flags plus a real result.json example, leaving no execution detail to inference.	3 / 3
Workflow Clarity	A clear numbered workflow — Validate (BED >=4 cols, BAM .bai), Run, Open report, Demo fallback — with explicit validation checkpoints and error-recovery guidance in the Gotchas.	3 / 3
Progressive Disclosure	SKILL.md is an overview that points one level deep to real, well-signaled reference files (file_io.md, interval_operations.md, polars_primer.md, etc.) verified to exist in references/.	3 / 3
	Total	12 / 12 Passed

Description

82%

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, distinctive description with strong trigger terms, but it omits an explicit 'Use when...' clause so completeness is capped at 2. Adding a brief trigger sentence would round it out.

Suggestions

Append an explicit trigger clause, e.g. 'Use when the user needs fast genomic interval overlap/merge/coverage on BED/VCF/BAM, or wants a bioframe/bedtools alternative on Polars DataFrames.'

Optionally surface the core 'when' trigger earlier in the description so it reads naturally as a one-sentence scan.

Dimension	Reasoning	Score
Specificity	Lists many concrete actions — 'overlap, nearest, merge, coverage, cluster, complement, subtract, count-overlaps' plus 'multi-format bioinformatics I/O, DataFusion SQL, and pileup' — rather than vague language.	3 / 3
Completeness	It clearly answers 'what' but has no explicit 'Use when...' trigger clause; per the judging guidelines, a missing explicit trigger clause caps completeness at 2.	2 / 3
Trigger Term Quality	Includes natural user-facing terms like 'genomic interval operations', 'overlap', 'merge', 'coverage', 'pileup', and 'bioframe/bedtools alternative' that a user would plausibly say.	3 / 3
Distinctiveness Conflict Risk	The niche is sharp — DataFrame-native genomic interval ops via polars-bio, explicitly a bioframe/bedtools alternative — making conflict with other skills unlikely.	3 / 3
	Total	11 / 12 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
metadata_field	'metadata' should map string keys to string values	Warning

	Total	15 / 16 Passed

Repository: ClawBio/ClawBio
Path: skills/polars-bio/SKILL.md
Commit: f6c7851

Reviewed: 2 days ago

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