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dnanexus-integration

Build and operate reproducible genomics workloads on DNAnexus with the dx CLI, dxpy, apps/applets, native workflows, dxCompiler, and Nextflow. Use for DNAnexus data transfers, dxapp.json development, execution monitoring, workflow import, and project automation.

75

Quality

92%

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SecuritybySnyk

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SKILL.md
Quality
Evals
Security

Quality

Content

92%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 well-structured and highly actionable, with executable examples, explicit preflight/confirmation validation for destructive operations, and clean progressive disclosure to verified reference files. Minor conciseness gains are possible in the guidance prose.

Suggestions

Tighten the 'Current Platform Guidance' bullets into terse rules to reduce prose and token load.

Consider consolidating scattered version/date pins (0.410.0, 2026-07-23, Ubuntu 24.04) into a single 'version baseline' note to ease maintenance and keep the body leaner.

DimensionReasoningScore

Conciseness

The body is largely lean and assumes Claude's competence, but a few explanatory sentences (e.g. the 'Current Platform Guidance' prose and some version-pinned commentary) could be tightened; time-sensitive version/date detail is mostly appropriately placed.

4 / 5

Actionability

Provides copy-paste-ready bash and Python snippets with exact flags ('uv tool install "dxpy==0.410.0"', 'dx run ... --cost-limit 25', the dxpy find_data_objects example) covering the common cases end to end.

5 / 5

Workflow Clarity

Multi-step flows are clearly sequenced with explicit validation checkpoints (Safe Preflight, 'After target and cost confirmation', validate_dxapp.py before build, 're-describe remote state before classifying it'), satisfying the destructive/batch feedback requirement.

5 / 5

Progressive Disclosure

SKILL.md is a concise overview with a 'Choose the Right Path' routing table and a Reference Index pointing to nine real one-level-deep reference files plus two scripts, all of which exist on disk and are clearly signaled.

5 / 5

Total

19

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20

Passed

Description

92%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 specific, complete, and clearly differentiated, explicitly stating both capabilities and use-when triggers tied to the DNAnexus platform. Trigger-term coverage is strong, with only minor room for additional synonyms.

DimensionReasoningScore

Specificity

Lists multiple concrete actions ('Build and operate reproducible genomics workloads', 'dxapp.json development', 'execution monitoring', 'workflow import', 'project automation') with named interfaces (dx CLI, dxpy, dxCompiler, Nextflow), giving comprehensive coverage rather than a single generic action.

5 / 5

Completeness

Explicitly answers both what ('Build and operate reproducible genomics workloads on DNAnexus with...') and when ('Use for DNAnexus data transfers, dxapp.json development, execution monitoring, workflow import, and project automation.') with concrete trigger phrases.

5 / 5

Trigger Term Quality

Strong natural keyword coverage ('DNAnexus', 'dx CLI', 'dxpy', 'apps/applets', 'dxapp.json', 'Nextflow', 'data transfers') that users would say, though a few common synonyms or phrasings are absent.

4 / 5

Distinctiveness Conflict Risk

Targets a clear niche (the DNAnexus platform) with distinct platform-specific triggers (dxpy, dxapp.json, dxCompiler) that would not collide with unrelated skills.

5 / 5

Total

19

/

20

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
K-Dense-AI/scientific-agent-skills
Reviewed

Table of Contents

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