Content
57%Reviews the quality of instructions and guidance provided to agents. Good implementation is clear, handles edge cases, and produces reliable results.
The content is well-organized with a clear workflow and excellent progressive disclosure through real, well-signaled bundle files. Its weaknesses are redundancy across sections, the absence of executable code/commands, and missing validation checkpoints in the batch generation workflow.
Suggestions
Add concrete, executable examples (e.g., 'python scripts/generate_character.py --profile references/character-profile.md') so guidance is copy-paste ready.
Insert validation checkpoints after each generation step (e.g., verify output image is 1080×1920, audio is 16kHz mono wav) before proceeding.
Remove redundancy between 操作步骤, 使用示例, and 工作流总结 by having the latter two reference the main steps rather than restate them.
| Dimension | Reasoning | Score |
|---|---|---|
Conciseness | The body is structured and mostly efficient without concept over-explanation, but the 使用示例, 工作流总结, and 与InfiniteTalk的协同 sections repeat content already covered in 操作步骤, so it could be tightened. | 2 / 3 |
Actionability | Names specific scripts and concrete input/output specs (9:16, 1080×1920, 16kHz mono wav) but shows no executable code or command-line invocations, so guidance is concrete yet incomplete. | 2 / 3 |
Workflow Clarity | The 5-step sequence and ordering are clear with optional branches, but there are no validation checkpoints for the batch asset-generation and assembly workflow, which caps workflow clarity at 2. | 2 / 3 |
Progressive Disclosure | A clear overview with a 资源索引 section signals one-level-deep references with explicit '何时读取' guidance, and all referenced bundle files (references/, scripts/, assets/) are real and appropriately split. | 3 / 3 |
Total | 9 / 12 Passed |