Content
71%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-structured, actionable instruction-only skill with strong progressive disclosure and a real quality-gate feedback loop. Its main weakness is conciseness: the agent-role framing and a duplicated roles section add overhead that could be trimmed.
Suggestions
Remove or merge the '四大智能体角色职责' section (lines 195–219) since it duplicates the 操作步骤 content, trimming ~25 lines of padding.
Add explicit validation checkpoints to the integration steps (e.g., 'verify wav is 16kHz mono before encoding', 'confirm init_image is 9:16 ≥1080×1920 before inference') to reach a 5 on workflow clarity.
Tighten buzzword phrasing ('精准管控', '严格遵循', '充分利用') into concrete imperatives to improve token efficiency.
| Dimension | Reasoning | Score |
|---|---|---|
Conciseness | Mostly task-specific with concrete parameters, but the '四大智能体角色职责' section largely restates the 操作步骤 and the anthropomorphized agent-role framing plus buzzword tone ('精准','严格') add padding that could be tightened. | 3 / 5 |
Actionability | Instruction-only by design ('无需Python依赖'), with concrete thresholds (5s/幕, 25s, 1080×1920, 4000K–5500K, motion_strength, face_consistency), a defined output format, and delegated templates; minor gaps because the actual prompt template lives in references. | 4 / 5 |
Workflow Clarity | A clear 4-step sequence with an explicit pass/fail quality gate and a feedback loop ('不通过：生成问题清单，反馈…最多2次'), but the audio/image/InfiniteTalk integration steps lack explicit validation checkpoints. | 4 / 5 |
Progressive Disclosure | Clear overview with well-signaled one-level-deep references (all referenced files verified to exist), each annotated with '何时读取' navigation guidance, and content appropriately split across parameters/structure/templates/rules/integration/examples files. | 5 / 5 |
Total | 16 / 20 Passed |