Content
86%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 well-organized, actionable skill body with concrete examples and clean progressive disclosure into verified reference files. Minor room to tighten repeated references and add an explicit polling-failure checkpoint.
| Dimension | Reasoning | Score |
|---|---|---|
Conciseness | The body is largely lean with no padding about basic concepts, but the prompt-optimizer reference is repeated several times and the "When to Use vs Avatar Video" table partly reiterates triggers already in the description. | 4 / 5 |
Actionability | It provides a copy-paste-ready curl example, concrete MCP tool names, exact REST endpoints, and named config fields (duration_sec, orientation, avatar_id) covering the common generate/poll/list/delete cases. | 5 / 5 |
Workflow Clarity | The Default Workflow gives a clear numbered sequence for both MCP and direct-API paths including a polling step, but lacks an explicit failure-handling or verification checkpoint after polling. | 4 / 5 |
Progressive Disclosure | SKILL.md acts as a concise overview pointing to nine verified one-level-deep reference files, organized into Core Workflow and Foundation groups with clear link tables for easy navigation. | 5 / 5 |
Total | 18 / 20 Passed |