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.
A highly actionable, concise reference with strong copy-paste examples, but it reads as a flat catalog rather than an overview pointing to deeper materials, and lacks explicit validation checkpoints in its generation workflow.
Suggestions
Add a brief numbered workflow (estimate_cost → generate → check result/status) with an explicit verification step so generated output is confirmed before use.
Move detailed per-model examples and parameter tables into a separate reference file (e.g. references/models.md) and surface them as one-level-deep links, keeping SKILL.md as a concise overview.
Provide a concrete end-to-end example that resolves the <uploaded_url>/<video_url> placeholders by chaining upload() output into generate(), so the image-to-video and editing flows are fully runnable.
| Dimension | Reasoning | Score |
|---|---|---|
Conciseness | The body is lean, assumes Claude's competence, and uses code plus compact parameter tables rather than explaining concepts, with only minor repetition of generate() boilerplate across model sections. | 4 / 5 |
Actionability | Each modality has copy-paste-ready code with concrete model_name strings and input parameters, supported by parameter tables and a documented upload step, covering the common generation cases. | 5 / 5 |
Workflow Clarity | Usage is presented as a reference catalog with an implied estimate-cost-then-generate sequence and an upload-then-generate example, but there are no explicit validation checkpoints or feedback loops for verifying generation results. | 3 / 5 |
Progressive Disclosure | Sections are well-organized with clear headers, but with no bundle files present the ~270-line body keeps all per-model examples and parameter tables inline rather than splitting detail into one-level-deep reference files. | 3 / 5 |
Total | 15 / 20 Passed |