Content
72%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 with concrete generation commands, but its batch workflow lacks validation/verification steps, capping workflow clarity despite strong organization and progressive disclosure.
Suggestions
Add a validation checkpoint after generation, e.g. verify each image request succeeded via `muapi predict wait <request_id>` and retry failed generations before presenting results.
Show the complete copy-paste `muapi image generate` command with prompt and aspect-ratio flags on a single line so steps are fully executable.
Remove the redundant bold intro line that repeats the frontmatter description verbatim to tighten token efficiency.
| Dimension | Reasoning | Score |
|---|---|---|
Conciseness | Lean and operational with concrete prompts that earn their place; the only notable padding is the bold intro line repeating the frontmatter description verbatim, fitting 'efficient; minor instances that could be trimmed' rather than the fully lean 5. | 4 / 5 |
Actionability | Provides concrete `muapi image generate` commands with named models, full prompts, and aspect ratios plus a curl fallback, but the exact flag-level CLI syntax for passing prompt/aspect-ratio is not shown as a single copy-paste line, leaving minor gaps. | 4 / 5 |
Workflow Clarity | The four-image parallel sequence and post-generation steps are clearly ordered, but there is no validation/verification checkpoint or failure-recovery loop for this batch generation, so the batch-operation cap applies at 3. | 3 / 5 |
Progressive Disclosure | Self-contained with no bundle files and clear, well-organized sections (Inputs, Steps, Notes, Trigger Keywords, Agent notes) and no nested references, matching the simple-skill exception for well-organized single-file skills. | 5 / 5 |
Total | 16 / 20 Passed |