Content
85%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 and well-structured, with concrete test guidance, a clear report template, and explicit handoff/feedback loops. The only weak spot is the generic boilerplate in the Limitations section, which adds tokens without skill-specific value.
| Dimension | Reasoning | Score |
|---|---|---|
Conciseness | The body is mostly lean and directive and does not explain basic concepts Claude knows, but the generic 'Limitations' boilerplate about AI hallucination and context windows adds tokens that do not advance the skill, matching 'mostly efficient but could be tightened'. | 2 / 3 |
Actionability | It gives concrete, specific guidance such as exact pagination boundaries ('page 0, page beyond last, limit=0, limit=max+1'), AAA test structure, behavior-based test naming, and a copy-paste-ready report template, matching the fully actionable anchor. | 3 / 3 |
Workflow Clarity | Responsibilities are sequenced, the handoff protocol defines conditional branches with explicit feedback loops ('re-runs only the affected tests after Mason's fix'), and the coverage report with failing-assertion detail acts as an explicit validation checkpoint. | 3 / 3 |
Progressive Disclosure | No bundle files exist; the single self-contained file is organized into clear, well-labeled sections with no need for external references, satisfying the well-organized-sections anchor for a self-contained skill. | 3 / 3 |
Total | 11 / 12 Passed |