Content
78%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.
The body is well-structured and actionable, laying out a clear two-phase workflow with concrete prompts, model IDs, and operational fallbacks. The main gaps are the pseudo-command syntax for muapi invocations and the absence of an error-recovery loop around generation.
| Dimension | Reasoning | Score |
|---|---|---|
Conciseness | The body is lean and operational, with concrete prompts, model IDs, and aspect ratios rather than padded concept explanations; only minor phrasing in the notes could be trimmed. | 4 / 5 |
Actionability | Provides concrete muapi commands with all parameters (model, prompt, aspect ratio, reference image) plus a curl fallback and polling instruction, but the `muapi image generate` invocation is described param-style rather than as a fully copy-pasteable command line. | 4 / 5 |
Workflow Clarity | A clear two-phase sequence (2D generation then 3D conversion) with an explicit approval checkpoint ("Present the 2D plan to the user for approval"), though no error-recovery feedback loop is specified. | 4 / 5 |
Progressive Disclosure | At under 50 lines with well-organized sections (Inputs, Steps, Trigger Keywords, Notes) and no need for external reference files, the skill meets the simple-skill exception for progressive disclosure. | 5 / 5 |
Total | 17 / 20 Passed |