Content
85%Reviews the quality of instructions and guidance provided to agents. Good implementation is clear, handles edge cases, and produces reliable results.
The content is a well-structured, highly actionable multi-stage workflow with explicit quality gates and one-level-deep bundle references, losing ground only on conciseness due to dependency duplication and repeated character-voice specs.
| Dimension | Reasoning | Score |
|---|---|---|
Conciseness | The body is task-specific (exact CLI args, voice specs, color codes) rather than generic concept explanations, but it repeats dependencies in the 前置准备 block and duplicates character-voice traits between 步骤3 and 步骤10, with some obvious guidance in 注意事项, fitting 'mostly efficient but could be tightened' rather than the lean score-3 anchor. | 2 / 3 |
Actionability | Provides copy-paste-ready executable commands with full argument lists (e.g. 'scripts/voice_generator.py --input <JSON> --output ./output/audio/voice') and a runnable Python example with check_video_quality(...), matching the 'fully executable code/commands; copy-paste ready' anchor. | 3 / 3 |
Workflow Clarity | 15 steps are sequenced across 3 phases with per-step outputs, an explicit pass/fail quality gate (步骤15: '总分≥80分为合格' + '发布许可'), and a 可选分支 error-recovery loop ('当…→触发步骤X回改'), matching the 'clear sequence with explicit validation and feedback loops' anchor. | 3 / 3 |
Progressive Disclosure | SKILL.md is an overview whose 12 referenced paths all resolve to real bundle files one level deep (no chained .md→.md nesting), organized in 资源索引 with '何时读取' cues, matching the 'clear overview with well-signaled one-level-deep references' anchor. | 3 / 3 |
Total | 11 / 12 Passed |