Content
92%Weight 40%Scale 1-5Reviews the quality of instructions and guidance provided to agents. Good implementation is clear, handles edge cases, and produces reliable results.
A well-structured, executable skill body with strong sequencing, validation checkpoints, and clean one-level-deep references that all resolve. The only minor lever is trimming the platform-guidance and citation sections for maximal token efficiency.
| Dimension | Reasoning | Score |
|---|---|---|
Conciseness | Information-dense and assumes Claude's competence with no padding about basic concepts, but sections like Current Platform Guidance and the citation block could be trimmed slightly to reach the lean top anchor. | 4 / 5 |
Actionability | Fully executable, copy-paste-ready dx CLI and dxpy Python examples with specific flags cover the common cases — upload/download, find with glob, build, run with cost-limit, monitor, and job chaining via output refs. | 5 / 5 |
Workflow Clarity | Workflows are clearly sequenced with explicit validation checkpoints (preflight resolve IDs, confirm before billable launch, validate dxapp.json before build, re-describe remote state before classifying failures), matching the feedback-loop expectation for destructive/batch operations. | 5 / 5 |
Progressive Disclosure | Clear overview with a decision table and a Reference Index pointing one level deep to nine existing reference files and two scripts; every referenced path resolves to a real bundle file and content is appropriately split. | 5 / 5 |
Total | 19 / 20 Passed |