Content
100%Reviews the quality of instructions and guidance provided to agents. Good implementation is clear, handles edge cases, and produces reliable results.
The skill body is dense, actionable, and well-structured, with executable templates, concrete commands, a sequenced workflow with a golden-regeneration feedback loop, and clearly signaled one-level references. It respects the token budget while remaining copy-paste ready.
| Dimension | Reasoning | Score |
|---|---|---|
Conciseness | The body is lean and domain-specific, with no re-explanation of concepts Claude already knows (e.g. what pytest or Flet is); every section earns its place. | 3 / 3 |
Actionability | Provides fully executable code templates for both module and function scope plus concrete run/golden-regeneration commands — copy-paste ready rather than pseudocode. | 3 / 3 |
Workflow Clarity | The 8-step Authoring workflow is clearly sequenced with an explicit validation feedback loop at step 8 (regenerate goldens then re-run) and a supporting quality checklist. | 3 / 3 |
Progressive Disclosure | A single, well-organized SKILL.md with clearly labeled sections and one-level-deep references to repo files; no nested reference chains and no monolithic reference dump. | 3 / 3 |
Total | 12 / 12 Passed |