CtrlK
BlogDocsLog inGet started
Tessl Logo

biology-biopython

Bioinformatics with Biopython for sequence manipulation, file parsing, BLAST, and phylogenetics. Use when working with DNA/RNA/protein sequences or biological databases.

76

Quality

93%

Does it follow best practices?

Run evals on this skill

Adds up to 20 points to the overall score

View guide

SecuritybySnyk

Passed

No findings from the security scan

SKILL.md
Quality
Evals
Security

Quality

Content

87%Weight 40%Scale 1-3

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

A tight, code-dense reference that is highly actionable and token-efficient with clean section organization. Its only gap is the absence of explicit validation/retry checkpoints for the fragile remote and batch operations it documents.

Suggestions

Add an explicit validate-then-retry loop for remote BLAST and batch Entrez requests (e.g., catch transient failures, re-check e-value/coverage thresholds before proceeding).

For file-writing and format-conversion operations, add a quick verification step (e.g., re-parse the written output with SeqIO.read to confirm it is valid) before declaring success.

Surface the rate-limit guidance from the Entrez section as an explicit checkpoint in any batch-fetch workflow rather than only as a standalone pitfall.

DimensionReasoningScore

Conciseness

The body is a lean reference of code snippets and short notes with no concept explanation (e.g., it never explains what Biopython or FASTA is), assuming Claude's competence so every token earns its place.

3 / 3

Actionability

Each section provides executable, copy-paste-ready calls such as `SeqIO.parse("file.fasta", "fasta")` and `Entrez.efetch(...)`, matching the top anchor for fully concrete guidance.

3 / 3

Workflow Clarity

Steps are listed per section and pitfalls give some validation guidance (e.g., handle SeqIO.parse as iterator, set timeouts), but there are no explicit validation checkpoints or fix-retry feedback loops for risky batch/destructive operations like remote BLAST or batch Entrez requests.

2 / 3

Progressive Disclosure

No bundle files exist and the skill is short (~52 lines) with well-organized sections, so under the simple-skills note a single self-contained, clearly structured file earns the top score.

3 / 3

Total

11

/

12

Passed

Description

100%Weight 40%Scale 1-3

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 concise, third-person description that names concrete capabilities and pairs them with an explicit "Use when" trigger. It scores at the top of every dimension with no padding or over-claims.

DimensionReasoningScore

Specificity

Lists multiple concrete actions — "sequence manipulation, file parsing, BLAST, and phylogenetics" — matching the rubric's top anchor for naming several specific capabilities.

3 / 3

Completeness

Explicitly answers both what ("sequence manipulation, file parsing, BLAST, and phylogenetics") and when ("Use when working with DNA/RNA/protein sequences or biological databases"), satisfying the top anchor.

3 / 3

Trigger Term Quality

Natural terms users would actually say appear directly: "DNA/RNA/protein sequences" and "biological databases", giving good coverage rather than abstract jargon.

3 / 3

Distinctiveness Conflict Risk

The Biopython bioinformatics niche is clearly bounded with distinct triggers (DNA/RNA/protein sequences, BLAST), making conflict with unrelated skills unlikely.

3 / 3

Total

12

/

12

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
aiming-lab/AutoResearchClaw
Reviewed

Table of Contents

Is this your skill?

If you maintain this skill, you can claim it as your own. Once claimed, you can manage eval scenarios, bundle related skills, attach documentation or rules, and ensure cross-agent compatibility.