Content
92%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 a model of token-efficient, actionable instruction: concrete inputs, a named analysis checklist, a complete JSON output contract, and explicit quality thresholds. Its only real weakness is a few under-specified output attributes (severity criteria, derivation of preferred_time and success_rate).
| Dimension | Reasoning | Score |
|---|---|---|
Conciseness | The body contains no explanations of concepts Claude already knows and no padding; every section (task, input template, four analysis requirements, output schema, thresholds) carries task-specific information. This matches the 'lean and efficient; every token earns its place' anchor. | 5 / 5 |
Actionability | It provides a concrete input template, four named analyses, a complete copy-paste JSON output schema with example values, and explicit filtering thresholds (confidence < 0.5, samples >= 3). It falls short of 5 because severity assignment criteria and how preferred_time/success_rate should be derived are left implicit — minor gaps rather than missing key steps. | 4 / 5 |
Workflow Clarity | This is a single-purpose, non-destructive analysis skill with an unambiguous flow: consume the three inputs, perform the four listed analyses, emit the constrained JSON. The 注意 section acts as explicit output-quality checkpoints (confidence and sample-size gates), matching the simple-skill exception for a clear, well-organized single action. | 5 / 5 |
Progressive Disclosure | There are no bundle files and none are needed; the body is compact and cleanly sectioned (任务, 输入, 分析要求, 输出格式, 注意) with no content that belongs in separate files. Per the guidelines, a short self-contained skill with well-organized sections scores 5. | 5 / 5 |
Total | 19 / 20 Passed |