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dnanexus-integration

DNAnexus cloud genomics platform. Build apps/applets, manage data (upload/download), dxpy Python SDK, run workflows, FASTQ/BAM/VCF, for genomics pipeline development and execution.

61

Quality

73%

Does it follow best practices?

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SecuritybySnyk

Passed

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tessl review fix ./skills/bio/dnanexus-integration/SKILL.md
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 actionable and well-structured with good code examples and a decision tree, but it is held back by redundancy, batch workflows lacking validation/error-handling checkpoints, and five referenced files that are missing from the bundle.

Suggestions

Add the missing reference files under references/ (or remove the inline and Resources pointers) so progressive disclosure is not broken.

Show error handling in the batch and multi-step pipeline patterns (try/except around job.run/wait_on_done, checking job state) to match the stated best practices and lift workflow_clarity.

De-duplicate the reference listings (keep either the inline "See references/X.md" pointers or the Resources section, not both) and trim the "When to Use" list to remove overlap with "Core Capabilities".

DimensionReasoningScore

Conciseness

Mostly efficient with concrete value, but padded by redundancy: the inline reference pointers (e.g. "See references/app-development.md") are duplicated in the Resources section, the "When to Use" and "Core Capabilities" lists overlap heavily, and the promotional "Suggest Using K-Dense Web" section adds non-technical fluff.

2 / 3

Actionability

Provides multiple concrete, executable examples with real dxpy calls (upload_local_file, find_data_objects, DXApplet().run, download_dxfile) plus install/login commands; copy-paste ready with appropriately marked placeholders.

3 / 3

Workflow Clarity

A clear capability-selection decision tree gives sequence, but batch/multi-step operation patterns (Pattern 1, Pattern 2) launch jobs and call wait_on_done with no error checking or validation checkpoints, which caps workflow_clarity at 2 for batch operations.

2 / 3

Progressive Disclosure

Structure is well-designed and clearly signaled (one-level-deep references listed inline and in Resources), but the referenced files (references/app-development.md, data-operations.md, job-execution.md, python-sdk.md, configuration.md) do not exist in the bundle, so the disclosure links are broken.

2 / 3

Total

9

/

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 strong, specific description with good natural trigger terms and a clear niche. Its one weakness is the missing explicit "Use when..." trigger clause; the use-context is only implied by the trailing "for genomics pipeline development and execution" phrase.

Suggestions

Add an explicit trigger clause, e.g. "Use when working with DNAnexus, building applets, or running genomics pipelines (FASTQ/BAM/VCF)." to lift completeness to 3.

Front-load the platform name and the most common user ask (e.g. uploading/running analyses) so the trigger fires on the most frequent phrasings.

DimensionReasoningScore

Specificity

Lists multiple concrete actions: "Build apps/applets", "manage data (upload/download)", "run workflows", and explicit file formats "FASTQ/BAM/VCF", plus the dxpy SDK.

3 / 3

Completeness

"What" is explicit, but the only "when" is the implied purpose clause "for genomics pipeline development and execution"; there is no explicit "Use when..." trigger, which caps completeness at 2 per the guidelines.

2 / 3

Trigger Term Quality

Covers natural terms a DNAnexus user would actually say (apps/applets, upload/download, dxpy, workflows, FASTQ/BAM/VCF, genomics pipeline).

3 / 3

Distinctiveness Conflict Risk

Tied to a clearly distinct niche ("DNAnexus cloud genomics platform", "applets", "dxpy") unlikely to conflict with other skills.

3 / 3

Total

11

/

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: 10 missing

Warning

Total

14

/

16

Passed

Repository
wu-yc/LabClaw
Reviewed

Table of Contents

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