Content
61%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 script calls and a clean resource index backed by real bundle files. Its main weaknesses are missing validation/verification checkpoints in batch workflows and some redundant or mislabeled sections.
Suggestions
Add explicit validation/verification steps (e.g. run quality_checker.py and confirm output before proceeding) to each mode's pipeline, especially before final video synthesis and file download.
Remove duplicated content — the environment dependencies and mode overviews appear both in前置准备/三种创作模式 and again in操作步骤; consolidate them.
Fix the mislabeled '5阶段协同流程' (it lists 7 items) and consider moving the 11-agent roster into a reference file to keep the overview lean.
| Dimension | Reasoning | Score |
|---|---|---|
Conciseness | Mostly efficient with structured sections and concrete script calls, but contains redundancy (mode overviews repeated under 操作步骤, environment deps duplicated, and a '5阶段协同流程' that actually lists 7 items) that could be tightened. | 3 / 5 |
Actionability | Provides concrete, mostly executable script invocations with explicit parameters (e.g. video_frame_extractor.py --input ... --output ./output/frames --interval 2); minor gaps remain where parameters are placeholders like <旁白数据JSON>. | 4 / 5 |
Workflow Clarity | Clear multi-phase numbered sequences exist for each mode, but batch/output-overwriting operations lack explicit validation/verification checkpoints and feedback loops, capping workflow_clarity at 3 per the rubric. | 3 / 5 |
Progressive Disclosure | Good structure: SKILL.md is an overview with a resource index pointing to real, one-level-deep references (references/*.md, scripts/*.py, assets/* verified to exist); minor organization gaps where inline lists (e.g. the 11-agent roster) could live in a reference. | 4 / 5 |
Total | 14 / 20 Passed |