Content
63%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 content is well-structured and actionable with concrete CLI commands, model IDs, and fallback patterns, but the parallel batch workflow lacks validation or verification steps, capping workflow clarity. Progressive disclosure is good for a single-file recipe.
Suggestions
Add explicit validation checkpoints after each generation phase (e.g., verify the asset was produced and meets the requested aspect ratio/duration before proceeding), with a retry-on-failure loop, to lift workflow_clarity above the batch-operation cap.
Consolidate the two separate 'Notes' sections (lines 60 and 72) into one clearly labeled block to tighten structure and navigation.
| Dimension | Reasoning | Score |
|---|---|---|
Conciseness | The body is efficient and assumes Claude's competence, using a compact inputs table and direct CLI commands; only minor prompt-text padding keeps it from a 5. | 4 / 5 |
Actionability | Provides concrete, mostly executable guidance with specific `muapi` commands, model IDs, aspect ratios, and a curl fallback; minor gaps (e.g., the curl JSON body is left as '{...}') prevent a 5. | 4 / 5 |
Workflow Clarity | Phases and steps are clearly sequenced, but this batch operation (five parallel assets) has no validation or verification checkpoints, which per the rubric caps workflow_clarity at 3. | 3 / 5 |
Progressive Disclosure | Well-organized single-file recipe with clear sections (Inputs, Steps, Notes, Trigger Keywords, agent notes) and no bundle files to navigate; minor gaps (e.g., notes are split across two 'Notes' sections) keep it from a 5. | 4 / 5 |
Total | 15 / 20 Passed |