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.
A thorough, well-structured workflow skill: highly actionable CLI guidance, clear phased sequencing with validation checkpoints and a calibration feedback loop, and clean one-level-deep progressive disclosure into real bundle files. Only minor conciseness improvements from de-duplicating repeated reminders.
| Dimension | Reasoning | Score |
|---|---|---|
Conciseness | Largely lean and actionable with no padding on concepts Claude already knows, but repeats guidance in several places (e.g. '不使用 AskUserQuestion，直接文字回复' per step, and the '禁止口算/记忆万年历' rule restated across phases) that could be tightened. | 4 / 5 |
Actionability | Copy-paste-ready CLI commands covering the common cases (--solar/--lunar/--hour/--shichen/--deceased-year) plus a field→parameter mapping table and explicit stdout sections to consume; fully executable guidance. | 5 / 5 |
Workflow Clarity | A clearly sequenced three-phase process with an explicit validation checkpoint (Step 9 info confirmation before排盘), script-as-source-of-truth gating, warning handling rules, and a feedback loop (历史事件校准: predict → user verifies → refine model). | 5 / 5 |
Progressive Disclosure | SKILL.md is a concise overview with a dedicated '重要参考文件' section giving one-line descriptions of each bundle file, plus contextual in-line references; all referenced paths (scripts/pai_pan.py and five references/*.md) resolve to real files, one level deep and clearly signaled. | 5 / 5 |
Total | 19 / 20 Passed |