Content
78%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-crafted instruction-only skill body: actionable criteria, concrete tests, and worked examples with clear error-recovery loops. The two weaknesses are the implied (not explicit) step sequence and the two referenced bundle files (Theory.md, EvalCases.json) that are missing from the skill directory.
Suggestions
Add Theory.md and EvalCases.json to the bundle (or remove the links) — both referenced files are absent, so navigation to the theory background and eval cases fails.
Add a brief explicit step sequence near the top (e.g., route request → assess input sufficiency → generate and compare candidates → run acceptance checks → deliver per format) so the workflow order does not have to be inferred from section arrangement.
Deduplicate the caution that analogies cannot prove the target domain, which appears in both Gotchas and 理论与事实边界, to trim token cost.
| Dimension | Reasoning | Score |
|---|---|---|
Conciseness | The body is dense and load-bearing — no explanation of concepts Claude already knows — but a few cautions repeat across sections (「不能证明目标域必然如此」 appears in Gotchas and again in 理论与事实边界) and some literary framing in the intro could be trimmed. Efficient with minor over-explanation, matching anchor 4 rather than the every-token-earns-its-place anchor 5. | 4 / 5 |
Actionability | For an instruction-only skill the guidance is fully executable: a routing table for four request types, concrete failure patterns (「『都很复杂』『都是网络』『都需要平衡』适用面太宽」), the vehicle-swap discriminating test (「交换喻体以后,如果不用改变承重关系仍能轻易圆回来…」), a novel-scenario acceptance check, a defined output structure (先给类比本身/让对应运行/落回新增理解), and 3 worked examples covering common cases. Absence of code is not penalized since the guidance is this concrete. | 5 / 5 |
Workflow Clarity | Sections follow a coherent order (routing → input sufficiency → quality criteria → two-object comparison → delivery format → examples) with explicit checkpoints and recovery loops (ask a question when input is a bare word; swap the candidate 「若原候选已不能保留承重关系」; verify uncertain facts online). It falls short of anchor 5 because the sequence is implied by section order rather than stated as explicit steps a reader can follow. | 4 / 5 |
Progressive Disclosure | References are clearly signaled and task-conditioned (「关于定义、非因果关系、隐喻与理论外推有疑问时,读 Theory.md;维护或试跑时使用 EvalCases.json」), but neither Theory.md nor EvalCases.json exists in the bundle — no references/, scripts/, or assets/ directories are present. The progressive-disclosure structure is therefore not realized; both links are broken. | 3 / 5 |
Total | 16 / 20 Passed |