Content
57%Reviews 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 dense with concrete parameter values, but it relies on metaphor-laden prose over executable code and omits verification feedback loops for the iterative tuning it describes.
Suggestions
Add at least one executable code snippet (e.g. a velocity-limiter loop or MotionState sync call) so the guidance is copy-paste ready rather than prose-only.
Trim colorful metaphors ('超音速抛出', '降维打击', '幽灵穿模') to reduce token cost without losing the technical point.
Add a brief validation step for each fix (e.g. 'replay the VMD at 2× speed and confirm no tearing before moving on') to create feedback loops for the iterative tuning.
| Dimension | Reasoning | Score |
|---|---|---|
Conciseness | It assumes Claude knows the domain with no basic-concept padding, but the metaphor-heavy prose ("毁灭性的原形复原能力", "超音速抛出", "降维打击") adds tokens without instructional value and could be tightened. | 2 / 3 |
Actionability | Provides concrete API calls and specific parameter values (setActivationState(4), LinearVelocity >50.0, ERP 0.8, CFM 0.015) but presents them as prose with no executable code blocks, so guidance is concrete yet not copy-paste ready. | 2 / 3 |
Workflow Clarity | Six root-cause→solution pairs are clearly numbered, but there are no validation/verification steps or test feedback loops for iterative physics tuning, which caps workflow clarity at 2. | 2 / 3 |
Progressive Disclosure | A compact single-purpose skill under 50 lines with no external references, organized into clear sections (症状, 根本原因与解决方案, 关键经验), which satisfies progressive disclosure for a simple skill. | 3 / 3 |
Total | 9 / 12 Passed |