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 with a fully-specified generation command and prompt, and the simple single-step workflow is clearly organized; the only slack is minor generic boilerplate in the executing-agent notes.
| Dimension | Reasoning | Score |
|---|---|---|
Conciseness | The body is mostly lean with no concept-padding, but the 'Notes for the Executing Agent' section repeats generic recipe boilerplate ('read each phase, gather any missing inputs', 'substitute {{input_name}} placeholders') that assumes less competence than ideal and could be tightened. | 2 / 3 |
Actionability | It specifies the exact CLI command ('muapi image edit'), model ('qwen-image-edit-plus'), reference image binding, the full generation prompt, and aspect ratio, plus a curl fallback and polling command — copy-paste ready. | 3 / 3 |
Workflow Clarity | This simple single-step skill sequences the input-gathering conditional ('If {{couple_image}} is not provided, ask…') then the single generation step and presentation; per the simple-skills note, a clear single-action workflow scores 3. | 3 / 3 |
Progressive Disclosure | No bundle files are present and the skill is under 50 lines, with well-organized sections (Inputs, Steps, Trigger Keywords, Notes); per the scoring notes this earns a 3 without external references. | 3 / 3 |
Total | 11 / 12 Passed |