CtrlK
BlogDocsLog inGet started
Tessl Logo

biopython-sequence-io

Use Biopython to read/write/convert biological sequence files (FASTA/GenBank/FASTQ, etc.) and perform basic sequence operations; use when you need reliable sequence I/O, lightweight sequence manipulation, or scalable processing of large sequence datasets.

66

Quality

81%

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

75%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 a complete executable script and clear workflow, and it uses progressive disclosure appropriately with one real reference file. Its main weakness is conciseness: a large block of generic templated policy boilerplate at the bottom adds tokens without skill-specific value.

Suggestions

Remove or collapse the generic templated sections (When Not to Use, Required Inputs, Output Contract, Validation and Safety Rules, Failure Handling, Quick Validation) into a few skill-specific lines; the 'No local script validation step is required' filler should be deleted entirely.

Either create the referenced scripts/sequence_io.py as an actual bundle file and keep only a short excerpt inline, or stop referencing a scripts/ path that does not exist in the bundle.

Tie the validation checkpoint in the Recommended Workflow to a concrete, script-specific check (e.g., verify summary.json kept_records > 0 and output_format fields are populated) instead of generic 'completeness, consistency, and safety' language.

DimensionReasoningScore

Conciseness

The technical core (When to Use, Key Features, Example, Implementation Details) is efficient, but roughly 50 lines of generic templated policy boilerplate (When Not to Use, Required Inputs, Output Contract, Validation and Safety Rules, Failure Handling, and a 'Quick Validation' that states 'No local script validation step is required') read as padded filler rather than skill-specific guidance. Not a 2 because the technical sections are genuinely lean.

3 / 5

Actionability

Provides a complete, copy-paste-ready runnable script plus a concrete config JSON example and an exact run command ('python scripts/sequence_io.py'), covering the common conversion/filtering/statistics cases end-to-end.

5 / 5

Workflow Clarity

A clear 4-step Recommended Workflow with an explicit validation checkpoint (step 4) and the script's own input filtering; the batch I/O operation has validation present so it is not capped at 3. Not a 5 because the validation steps are somewhat generic rather than tied to specific feedback loops on the script's output.

4 / 5

Progressive Disclosure

Well-organized sections with a clearly signaled one-level-deep reference ('See references/sequence_io.md for additional notes'), and that file exists. Minor gap: the body references scripts/sequence_io.py as the run target, but no scripts/ directory or file exists in the bundle (the script is inlined), so a referenced path points to a non-existent file.

4 / 5

Total

16

/

20

Passed

Description

87%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 strong: it clearly states what the skill does and gives an explicit 'use when' clause with concrete, domain-specific trigger terms and formats. Minor room to improve by adding file extensions and naming the specific sequence operations.

DimensionReasoningScore

Specificity

Names concrete actions ('read/write/convert biological sequence files') plus 'basic sequence operations', listing several specific actions with only minor gaps; not a 5 because 'basic sequence operations' is generic rather than enumerating reverse-complement/translation/slicing as the body does.

4 / 5

Completeness

Explicitly answers both what ('Use Biopython to read/write/convert biological sequence files...') and when ('use when you need reliable sequence I/O, lightweight sequence manipulation, or scalable processing...') with concrete trigger phrases, matching the top anchor.

5 / 5

Trigger Term Quality

Includes natural user terms 'Biopython', 'FASTA/GenBank/FASTQ', 'sequence I/O', and 'sequence datasets'; good coverage but missing common synonyms and explicit file extensions (.fasta/.gb/.fastq) that would warrant a 5.

4 / 5

Distinctiveness Conflict Risk

The Biopython + biological-sequence-file (FASTA/GenBank/FASTQ) niche is specific with distinct triggers and minimal overlap risk with other skills.

5 / 5

Total

18

/

20

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

frontmatter_unknown_keys

Unknown frontmatter key(s) found; consider removing or moving to metadata

Warning

referenced_paths_exist

Referenced path issues: 2 missing

Warning

Total

14

/

16

Passed

Repository
aipoch/medical-research-skills
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.